Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia

This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	D. Daniel [verfasserIn] Trimo Pamudji Al Djono [verfasserIn] Widya Prihesti Iswarani [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression

Übergeordnetes Werk:	In: Geography and Sustainability - Elsevier, 2020, 4(2023), 1, Seite 29-38
Übergeordnetes Werk:	volume:4 ; year:2023 ; number:1 ; pages:29-38

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.geosus.2022.12.002

Katalog-ID:	DOAJ080420796

Internformat


LEADER	01000naa a22002652 4500
001	DOAJ080420796
003	DE-627
005	20230310191101.0
007	cr uuu---uuuuu
008	230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.geosus.2022.12.002 \|2 doi
035			\|a (DE-627)DOAJ080420796
035			\|a (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a G1-922
050		0	\|a GE1-350
100	0		\|a D. Daniel \|e verfasserin \|4 aut
245	1	0	\|a Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
264		1	\|c 2023
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.
650		4	\|a Rural water supply
650		4	\|a PAMSIMAS
650		4	\|a Functionality
650		4	\|a Indonesia
650		4	\|a Bayesian belief networks
650		4	\|a Logistic regression
653		0	\|a Geography (General)
653		0	\|a Environmental sciences
700	0		\|a Trimo Pamudji Al Djono \|e verfasserin \|4 aut
700	0		\|a Widya Prihesti Iswarani \|e verfasserin \|4 aut
773	0	8	\|i In \|t Geography and Sustainability \|d Elsevier, 2020 \|g 4(2023), 1, Seite 29-38 \|w (DE-627)1697192335 \|x 26666839 \|7 nnns
773	1	8	\|g volume:4 \|g year:2023 \|g number:1 \|g pages:29-38
856	4	0	\|u https://doi.org/10.1016/j.geosus.2022.12.002 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S2666683922000876 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2666-6839 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 4 \|j 2023 \|e 1 \|h 29-38

Indexfelder

author_variant	d d dd t p a d tpad w p i wpi
matchkey_str	article:26666839:2023----::atrrltdohfntoaiyfomntbsduawtrupyns
hierarchy_sort_str	2023
callnumber-subject-code	G
publishDate	2023
allfields	10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38
spelling	10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38
allfields_unstemmed	10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38
allfieldsGer	10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38
allfieldsSound	10.1016/j.geosus.2022.12.002 doi (DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4 DE-627 ger DE-627 rakwb eng G1-922 GE1-350 D. Daniel verfasserin aut Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries. Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences Trimo Pamudji Al Djono verfasserin aut Widya Prihesti Iswarani verfasserin aut In Geography and Sustainability Elsevier, 2020 4(2023), 1, Seite 29-38 (DE-627)1697192335 26666839 nnns volume:4 year:2023 number:1 pages:29-38 https://doi.org/10.1016/j.geosus.2022.12.002 kostenfrei https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666683922000876 kostenfrei https://doaj.org/toc/2666-6839 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 29-38
language	English
source	In Geography and Sustainability 4(2023), 1, Seite 29-38 volume:4 year:2023 number:1 pages:29-38
sourceStr	In Geography and Sustainability 4(2023), 1, Seite 29-38 volume:4 year:2023 number:1 pages:29-38
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression Geography (General) Environmental sciences
isfreeaccess_bool	true
container_title	Geography and Sustainability
authorswithroles_txt_mv	D. Daniel @@aut@@ Trimo Pamudji Al Djono @@aut@@ Widya Prihesti Iswarani @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1697192335
id	DOAJ080420796
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ080420796</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310191101.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.geosus.2022.12.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ080420796</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">G1-922</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE1-350</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">D. Daniel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rural water supply</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">PAMSIMAS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Functionality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Indonesia</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian belief networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logistic regression</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Geography (General)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Trimo Pamudji Al Djono</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Widya Prihesti Iswarani</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Geography and Sustainability</subfield><subfield code="d">Elsevier, 2020</subfield><subfield code="g">4(2023), 1, Seite 29-38</subfield><subfield code="w">(DE-627)1697192335</subfield><subfield code="x">26666839</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:29-38</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.geosus.2022.12.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2666683922000876</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-6839</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="h">29-38</subfield></datafield></record></collection>
callnumber-first	G - Geography, Anthropology, Recreation
author	D. Daniel
spellingShingle	D. Daniel misc G1-922 misc GE1-350 misc Rural water supply misc PAMSIMAS misc Functionality misc Indonesia misc Bayesian belief networks misc Logistic regression misc Geography (General) misc Environmental sciences Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
authorStr	D. Daniel
ppnlink_with_tag_str_mv	@@773@@(DE-627)1697192335
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	G1-922
illustrated	Not Illustrated
issn	26666839
topic_title	G1-922 GE1-350 Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia Rural water supply PAMSIMAS Functionality Indonesia Bayesian belief networks Logistic regression
topic	misc G1-922 misc GE1-350 misc Rural water supply misc PAMSIMAS misc Functionality misc Indonesia misc Bayesian belief networks misc Logistic regression misc Geography (General) misc Environmental sciences
topic_unstemmed	misc G1-922 misc GE1-350 misc Rural water supply misc PAMSIMAS misc Functionality misc Indonesia misc Bayesian belief networks misc Logistic regression misc Geography (General) misc Environmental sciences
topic_browse	misc G1-922 misc GE1-350 misc Rural water supply misc PAMSIMAS misc Functionality misc Indonesia misc Bayesian belief networks misc Logistic regression misc Geography (General) misc Environmental sciences
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Geography and Sustainability
hierarchy_parent_id	1697192335
hierarchy_top_title	Geography and Sustainability
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1697192335
title	Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
ctrlnum	(DE-627)DOAJ080420796 (DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4
title_full	Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
author_sort	D. Daniel
journal	Geography and Sustainability
journalStr	Geography and Sustainability
callnumber-first-code	G
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2023
contenttype_str_mv	txt
container_start_page	29
author_browse	D. Daniel Trimo Pamudji Al Djono Widya Prihesti Iswarani
container_volume	4
class	G1-922 GE1-350
format_se	Elektronische Aufsätze
author-letter	D. Daniel
doi_str_mv	10.1016/j.geosus.2022.12.002
author2-role	verfasserin
title_sort	factors related to the functionality of community-based rural water supply and sanitation program in indonesia
callnumber	G1-922
title_auth	Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
abstract	This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.
abstractGer	This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.
abstract_unstemmed	This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700
container_issue	1
title_short	Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia
url	https://doi.org/10.1016/j.geosus.2022.12.002 https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4 http://www.sciencedirect.com/science/article/pii/S2666683922000876 https://doaj.org/toc/2666-6839
remote_bool	true
author2	Trimo Pamudji Al Djono Widya Prihesti Iswarani
author2Str	Trimo Pamudji Al Djono Widya Prihesti Iswarani
ppnlink	1697192335
callnumber-subject	G - General Geography
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.geosus.2022.12.002
callnumber-a	G1-922
up_date	2024-07-03T14:33:08.120Z
_version_	1803568743052214272
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ080420796</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310191101.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.geosus.2022.12.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ080420796</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJfd98e5727d5547d78feae6c294bad9e4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">G1-922</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE1-350</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">D. Daniel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study used multinomial logistic regression and Bayesian belief networks (BBN) to analyze factors influencing the functionality of the community-based rural drinking water supply and sanitation program (PAMSIMAS) in Indonesia. 28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed. The data indicates that 85.4% of the water supply systems were fully functioning, 9.1% were partially functioning, and 5.5% were not functioning. In the regression analysis, good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality. The latter suggests the need for comprehensive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas. We also found that high community participation at the beginning of the project was associated with the not functioning system, while women’s participation was positively associated with the functionality. Furthermore, the household connection is more likely to be functioning than communal connection. BBN analysis shows if the beneficiaries do not pay for water, the probability of not functioning systems is 20 times higher than systems with fee collection. Moreover, the combination of strong management, strong financial status, and household connection rather than communal connection increases the probability of fully functioning to 98%. Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia. This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rural water supply</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">PAMSIMAS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Functionality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Indonesia</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian belief networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logistic regression</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Geography (General)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Trimo Pamudji Al Djono</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Widya Prihesti Iswarani</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Geography and Sustainability</subfield><subfield code="d">Elsevier, 2020</subfield><subfield code="g">4(2023), 1, Seite 29-38</subfield><subfield code="w">(DE-627)1697192335</subfield><subfield code="x">26666839</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:29-38</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.geosus.2022.12.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/fd98e5727d5547d78feae6c294bad9e4</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2666683922000876</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-6839</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="h">29-38</subfield></datafield></record></collection>
score	7.401454

Nicht das Richtige dabei?

Schreiben Sie uns!

Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?