The Selection of Infrastructure Aspect for Performance Assessment in Indonesian PDAM
Dini Intani Angga Ranti1, Suripin2, Suharyanto3
1Dini Intani Angga Ranti*, Doctorate Student in Civil Engineering Department, Diponegoro University, Semarang, Indonesia.
2Suripin, Civil Engineering Department, Diponegoro University, Semarang, Indonesia.
3Suharyanto, Civil Engineering Department, Diponegoro University, Semarang, Indonesia.
Manuscript received on November 14, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 3179-3184 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7672129219/2019©BEIESP | DOI: 10.35940/ijitee.B7672.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Performance assessments of Indonesian PDAM (the Indonesian acronym for Regional Drinking Water Companies) are crucial in ensuring optimum supply systems of drinking water in the communities. Since 2010, the Indonesian Government has based the performance assessment on the procedures set by BPPSPAM (the Indonesian acronym for Supporting Agency for Development of Drinking Water Supply System) under the Ministry of Public Works and Housing. The overall assessment has consisted of 25% of the financial, 25% of the service, 35% of the operational, and 15% of the human resource aspects. In their assessment of drinking water companies’ performances, other countries have already employed the physical/infrastructure aspect in addition to these four. This research, therefore, aims at finding influential sub-aspects under the infrastructure aspect that contribute best in assessing PDAMs’ performances. Influential aspect measured with Partial Least Squares algorithm. Partial Least Squares is chosen because they are using quick, efficient and optimal regression method based on covariance. Parameter that used in assessment can be correlated using regression when the number of explanatory variables is high. From the correlation we could get the influential aspect positively influent by what sub aspect. The Partial Least Squares Structural Equation Modelling (PLS-SEM) algorithm is applied on 35 PDAMs in the regencies/municipalities in Central Java Province has separated 3 of 10 infrastructure sub-aspects to be the most influential, namely: network density, raw water resource, and pumping system. The result show that assessment of drinking water company positively influenced by network density (β=0.378, p<0.05), raw water resources (β=0.899, p<0.05), and also pumping system (β=0.631, p<0.05).
Keywords: PDAM Performance Assessment, Water Utility Supply System, Infrastructure aspect.
Scope of the Article: Water Supply and Drainage