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Strategy Development of Perumda Air Minum Performance Improvement using Combination of Balance Scorecard, SWOT and QSPM Methods Zilvia Wulandari; Shinta Indah; Denny Helard
CIVED Vol. 12 No. 1 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.741

Abstract

The provision of drinking water is one of the basic needs and socio-economic rights of the community that must be fulfilled by the Government, both the Regional Government and the Central Government. Increasing access to drinking water is closely related to improving the performance of Perumda as a business unit providing drinking water. Perumda Air Minum Tirta Alami Tanah Datar Regency is the only BUMD that provides drinking water in Tanah Datar Regency. As a company that organizes the Drinking Water Supply System (SPAM), Perumda Air Minum is required to be able to provide the best possible service in providing clean water to the community. The performance evaluation study of Perumda Air Minum Tirta Alami Tanah Datar Regency was carried out in general through some stages; data inventory, performance evaluation and determination of performance status. The performance assessment uses four aspects, namely service, operational, human resources and financial aspects for the period of 2023. From the results of the evaluation of the four aspects, the performance of Perumda Air Minum Tirta Alami Tanah Datar Regency showed a quite good performance, with a total indicator value of all aspects of 3.10. This shows that the company can be categorized as healthy because it has a total value of more than 2.8. Based on this study, it is expected that the company can strive to improve performance on indicators that still obtain values that do not meet the predetermined standards.
System dynamics for integrated domestic wastewater management: A review of stock–flow models, policy scenarios, and river water quality Widia Putri; Denny Helard; Shinta Indah
Journal of Engineering Researcher and Lecturer Vol. 5 No. 2 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v5i2.221

Abstract

Domestic wastewater management is a long-term systems problem shaped by population growth, water use, sanitation coverage, treatment capacity, infrastructure deterioration, institutional performance, finance, pollutant generation, and receiving-water conditions. This review synthesizes the use of System Dynamics (SD) for integrated domestic wastewater planning, with emphasis on causal-loop structures, stock–flow models, policy scenarios, pollutant-load estimation, and river-water-quality responses. A structured narrative search covering 2010 to June 2026 was used to identify peer-reviewed studies that applied explicit SD concepts to wastewater, sanitation, water pollution, or coupled water-quality management. The literature shows that most models represent population, wastewater generation, treatment capacity, and pollution control, but fewer integrate on-site sanitation, faecal-sludge pathways, microbiological pollutants, river hydrology, climate stress, finance, and institutional behavior in one model. Scenario analysis is widely used, particularly business-as-usual, capacity expansion, service-coverage improvement, treatment-efficiency enhancement, and combined-policy scenarios. The evidence indicates that isolated infrastructure expansion often underperforms when household connections, operation and maintenance, financing, or treatment efficiency remain constrained. More robust models combine service coverage and capacity dynamics with pollutant mass balance, receiving-water dilution, validation tests, and sensitivity or uncertainty analysis. Coastal and data-limited cities require additional representation of shallow groundwater, infiltration and inflow, flooding, tidal backwater, sea-level rise, and the dominance of on-site sanitation. The review proposes an integrated framework linking socio-demographic, service, infrastructure, treatment, pollutant, river-quality, financial, institutional, and climate subsystems. Future development should priorities spatial SD, participatory modelling, global sensitivity analysis, adaptive policy pathways, real-time monitoring, and hybridization with GIS, hydrological models, optimization, and machine learning.