PDAM Tirta Daroy is 43 years old, it turns out that there are still many problems faced by PDAMs. Based on the initial observations made, the PDAM stated that there were many complaints from the public regarding the PDAM's performance. One of the complaints of the community lies in the water discharge. Water debit is oriented to the amount of water distributed to the community, starting from the quality of the water and the volume of water distributed. This research was conducted at PDAM Tirta Daroy, Banda Aceh City to the community/household that uses water from PDAM Tirta Daroy. The data used are primary and secondary data. Primary data is data obtained directly from the field, direct interviews with respondents or through a list of questions (questionnaires) given to small business owners. Secondary data is data sourced from publications in various government agencies, including the Central Statistics Agency (BPS) of Aceh Province and other relevant agencies related to this research. The data analysis method used is the first to use the WTP value obtained from each respondent in the form of the maximum value of rupiah that respondents are willing to pay for water services, processed to obtain the average value (mean) of the WTP value. Second, a linear regression analysis tool, to test the theoretical truth of the effect of income, number of family members and volume of water needs on the ability of the community to pay water tariffs. The purpose of this study was to examine how much influence income, number of family members and volume of water needs have on the ability of the community to pay the drinking water tariff of PDAM Tirta Daroy Banda Aceh. Testing how much the community's ability to pay the drinking water tariff for PDAM Tirta Daroy Banda Aceh is. The types of data used in this study are primary and secondary data. Primary data were obtained directly from the field, direct interviews with respondents or through a list of questions (questionnaires). Secondary data is data sourced from publications in various government agencies, including the Central Statistics Agency (BPS) of Aceh Province. and other related institutions related to this research. The results showed that the average ability of the community to pay for Tirta Daroy Drinking Water in Banda Aceh City was between Rp. 60,000-69,999 per month. Per capita income, number of family members and volume of water needs both simultaneously and partially have a significant effect on the community's ability to pay the drinking water tariff of PDAM Tirta Daroy in Banda Aceh. Variations in the community's ability to pay drinking water tariffs for PDAM Tirta Daroy in Banda Aceh are influenced by variations in income per capita, number of family members and volume of water needs by 94.0 percent and the remaining 4 percent is influenced by other variables outside this research model. Regional Drinking Water Company (PDAM) Daroy should no longer carry out the policy of increasing PDAM water tariffs for the next few years. The need for additional Water Treatment Plants (IPA) if PDAM will increase the number of customers until 2030. Further research is needed for planning the addition of Water Treatment Plants (IPA) in stages and planning for PDAM service development networks.
Aadland, D., and Caplan, A. J. (2004). Incentive Incompatibility And Starting Point Bias In Iterative Valuation Questions: Comment. Land Econ. 80 (2), 312-315.
Apriliyana, P. (2015). Analisis Pembiayaan Air Minum Masyarakat yang Memanfaatkan Sumber Mata Air Dalam Pemenuhan Kebutuhan Air Domestik di Desa Wangunsari, Kecamatan Lembang, Kabupaten Bandung Barat. Jurnal Ekonomi Pembangunan. Vol 3 No2: 54-69.
Awad, I. M. (2012). Using Econometric Analysis Of Willingness To Pay To Investigate Economic Efficiency And Equity Of Domestic Water Services In The West Bank. The Journal of Socio-Economics 41: 485– 494.
Burt, Z., Robert, M., Njee, Y. M., Veritas, M., Joe, B. Thomas, F., Clasen, H. M., and Malebo, I. R. (2017). User Preferences And Willingness To Pay For Safe Drinking Water: Experimental Evidence From Rural Tanzania: Social Science & Medicine: 63-71.
Daniel. (2004). Analisis Service Quality , Price, Dan Corporate Image Pada Industri Jasa Penerbangan Menggunakan Pendekatan Structural Equation Modeling (SEM). Central Library Institute Technology Bandung.
Downey, D., Dan Erikson, S. (1992). Manajemen Agribisnis. Jakarta: Erlangga.
Damanhuri, E. (1989). Pendekatan Sistem Dalam Pengendalian Dan Pengoperasian Sistem Jaringan Distribusi Air Minum, Bandung: Jurusan Teknik Lingkungan FTSP-ITB.
Groothuisa, P. A., Krista, C., and Tanga, M. D. M. (2015). Water Doesnot Flow Up Hil L: Determinant So Fwillingness Topay For Water Conservation Measure Sin The Mountains Of Western North Carolina. Journal of Behavioral and Experimental Economics: 88-95.
Howard, S. (1985). Environmental Engineering. McGraw-Hill. Singapura.
Isla, N. K., Roy, B., Hong, Y. (2014). Household’s Willingness To Pay For Arsenic Safe Drinking Water In Bangladesh. Journal of Environmental Management.151-161.
Jayanti, Z. (2013). Analisis Penentuan Air Bersih Dan Keterjangkauan Daya Beli Masyarakat Terhadap Air Bersih Kota Jakarta (Studi Kasus pada PT.XYZ). Jurnal Kajian Manajemen Bisnis. Vol.1, No 1: 46-54.
Jessoe, K. (2013). Improvedsource, Improved quality? Demand For Drinking Water Quality In Rural India. Journal of Environmental Economics and Management 66: 460–475.
Karl, E. C., Dan Fair, R. C. (2003). Prinsip-Prinsip Ekonomi Mikro. New Jersey: Prentice-Hall, Inc.
Kusuma. (2006). Dampak Manajemen Laba Terhadap Relevansi Informasi Akuntansi: Bukti Empiris Dari Indonesia. Jurnal Akuntansi dan Keuangan, Vol 8. No1: 1-12.
Litbang Kesehatan Departemen Kesehatan. (2008). Riset Kesehatan Dasar (Riskesdas) 2007: Laporan Nasional. Jakarta: Badan Litbangkes Depkes.
Li, L. A., Chon, S. L. A., dan Dennis, W. (2016). Assessing Household Willingness To Pay For Bottled Water In Rural Areas Of The Mekong Delta, Vietnam. Water Resources And Rural Development: 36-49.
Maddison, D. (2005). Valuing the arsenic contamination of groundwater in Bangladesh. Environ. Resour. Econ. Vol 3 No 1: 459-476.
Mankiw, N. G. (2004). Principle Of Economics. Edisi Tiga. Jakarta: Salemba Empat.
Martin. (2004). Sistem Distribusi Air Minum. Jakarta: Ekamitra Engeenering.
Miller, M. (2000). Teori Ekonomi Intermediate. Edisi Tiga. Raja. Grafindo Persada, Jakarta.
Nicholson, W. (2005). Mikroekonomi Intermediate dan Aplikasinya. Edisi Kedelapan, Alih Bahasa IGD Bayu Mahendra dan Abdul Aziz, Jakarta: Erlangga.
Polyzou, E. N., Jones, K. I., Evangelinos, C. P., and Halvadakis. (2011). Willingness To Pay For Drinking Water Quality Improvement And The Influence Of Social Capital. The Journal of Socio-Economics: 74–80.
Qemali, I. (2016). Drinking Water Demand Determinants: Evidences From Vlora City Fjona Zeneli. Procedia Social Behavioral Science. Vol 3 No 5: 530 – 536.
Samuelson, P. A., Dan William, D. N. (2004). Ilmu Makroekonomi. Edisi Ketujuhbelas. Jakarta: PT. Media Global Edukasi.
Sanim. (2003). Ekonomi Sumberdaya Air dan Manajemen Pengembang Sektor Air Bersih Bagi Kesejahteraan Publik. Orasi Ilmiah Guru Besar Tetap Bidang Ilmu Ekonomi Sumberdaya dan Lingkungan. Fakultas Pertanian IPB. Bogor. 27 September 2003.
Sistyanto dan Hadi. (2011) Penggunaan Air Domestik dan Willingness To Pay air bersih PDAM di Kecamatan Temanggung Kabupaten Temanggung, Jurnal Ekonomi dan Studi Pembangunan, Vol. 4, No.2: 87-95.
Sudarsono. (1990). Pengantar Teori Ekonomi Mikro. LP3S. Jakarta.
Whittington, D. (2010). What Have We Learned From 20 Years Of Stated Preferencen Research In Less-Developed Countries? Annu. Rev. Resour. Econ. Vol 2 No 4 209-236.
In-Text Citation: (Murtala et al., 2022)
To Cite this Article: Murtala, Nailufar, F., & Andriani, D. (2022). Influence of Income, Number of Family Members and Volume of Water Requirement on Community Ability to Pay Pdam Tirta Daroy Water Rates in Banda Aceh City During The Covid 19 Pandemic. International Journal of Academic Research in Business and Social Sciences, 12(4), 594–606.
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