Application of the Entropy Method and Multi-Attribute Utility Theory (MAUT) to a Decision Support System for Determining Priorities in Air Pollution Mitigation Based on Ambient Air Quality Monitoring Data at PT Indocement Tunggal Prakarsa Tbk. Bogor
Keywords:
Ambient Air Quality, Decision Support System, Entropy, MAUT, Mitigation Priority.Abstract
This study aims to apply the Entropy and Multi-Attribute Utility Theory (MAUT) methods within a web-based Decision Support System (DSS) to determine air pollution mitigation priorities based on ambient air quality monitoring data at PT Indocement Tunggal Prakarsa Tbk., Bogor. The research addresses the problem that available monitoring data have not been specifically processed into objective and measurable mitigation-priority information. Secondary data were organized into 12 alternatives representing combinations of two monitoring stations and observation periods from January to June, using seven criteria, namely ISPU PM2.5, PM10, NO₂, SO₂, HC, CO, and O₃. The Entropy method was employed to generate objective criterion weights based on data variation, while MAUT was used to calculate utility values and rank the alternatives. The weighting results identified ISPU PM2.5 as the most dominant criterion, with a weight of 0.231710871. The MAUT results ranked Site Kecamatan Cileungsi–March first with a utility value of 0.841307511, followed by Site Utama Indocement–February with 0.750091317 and Site Utama Indocement–June with 0.696256962. Sensitivity analysis using ±10% and ±20% changes in the dominant criterion weight showed that the ranking order remained unchanged, with a Spearman rank correlation of 1.000. The developed web-based system successfully presents the calculation process, ranking results, and supporting information in a structured manner, demonstrating that the Entropy–MAUT combination provides an objective and stable approach for supporting air pollution mitigation-priority decisions.
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References
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