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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Application of the PSI-VIKOR Method in Determining Priorities for Poor Areas Based on Poverty Indicators in Central Java Kusuma, Kasa; Cholil, Saifur Rohman
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9888

Abstract

Poverty remains a significant challenge in developing countries, including Indonesia. Although the national poverty rate has declined, Central Java still shows relatively high rates. This study aims to identify priority areas in Central Java requiring government intervention to support effective poverty alleviation planning. Data were sourced from the Central Statistics Agency (BPS) of Central Java Province in 2023. A Decision Support System (DSS) approach was applied using the integrated Preference Selection Index (PSI) and VIKOR methods. PSI was used to determine objective criteria weights based on preference variations, while VIKOR ranked regions based on compromise solutions closest to ideal conditions.The ranking results were visualized spatially through a digitization process using QGIS to produce thematic maps. Analysis showed that Purworejo, Wonogiri, and Batang are high-priority regencies, whereas Semarang City, Banyumas, and Kendal have relatively stable socio-economic conditions. Validation using the Normalized Discounted Cumulative Gain (NDCG) method yielded a score of 0.9268, indicating strong alignment with historical data. These findings confirm the effectiveness of the PSI–VIKOR approach in supporting data-driven poverty alleviation strategies. The novelty of this study lies in the integrated application of PSI–VIKOR for spatial poverty prioritization, which has not previously been implemented in the Indonesian context.
A Multi-Criteria Decision Approach to Livability Assessment Using Hybrid FUCOM–VIKOR Maharani, Felina Devi; Cholil, Saifur Rohman
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12031

Abstract

Persistent disparities in regional livability across Central Java pose challenges for effective and equitable poverty alleviation policies. Without objective prioritization, government interventions risk being inefficient and misdirected. This study aims to assess the livability level of 35 regencies and cities in Central Java and to identify regions that should be prioritized for policy intervention. Secondary data for 2024 were obtained from the Central Statistics Agency (BPS) of Central Java Province. A hybrid multi-criteria decision-making approach combining the Full Consistency Method (FUCOM) and VIKOR was employed. FUCOM was used to generate consistent and objective weights for six indicators (Human Development Index, Life Expectancy, Number of Poor Residents, Open Unemployment Rate, Access to Proper Sanitation, and GRDP per capita), while VIKOR was applied to produce compromise-based rankings of regional livability. The ranking results were visualized using a bar chart to enhance interpretability and facilitate regional comparison. The results indicate that Salatiga City, Magelang City, and Surakarta City exhibit the highest livability levels, whereas Brebes Regency, Banjarnegara Regency, and Pemalang Regency consistently rank lowest, indicating an urgent need for targeted government intervention. Model validation using Normalized Discounted Cumulative Gain (NDCG = 0.9835) and Spearman Rank Correlation (ρ = 0.883) demonstrates strong consistency with reference data. These findings suggest that the FUCOM–VIKOR hybrid approach provides a robust and practical decision-support tool for evidence-based regional development planning and poverty alleviation prioritization.
Application of the Hybrid Entropy–VIKOR Method for Urban EV Charging Station Prioritization in Central Java Purbaningtyas, Ivana; Cholil, Saifur Rohman
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12094

Abstract

The rapid growth of electric vehicles (EVs) in Indonesia necessitates strategic and data-driven planning of public electric vehicle charging stations (EVCS/SPKLU), particularly in urban areas with high mobility and economic activity such as Central Java Province. This study aims to determine priority locations for EVCS development using an objective hybrid Multi-Criteria Decision Making (MCDM) approach. Official secondary data from the Central Java Provincial Statistics Agency (BPS) for the 2023-2024 period are employed, involving 12 urban areas as decision alternatives. Criteria weighting is performed using the Entropy method to minimize subjectivity, while alternative ranking is conducted using the VIKOR method to obtain the best compromise solution. Six criteria are considered, including installed electrical capacity, population density, motor vehicle density, gross regional domestic product (GRDP) per capita, percentage of regional area, and the number of commercial facilities. The results indicate that Cilacap Regency (Q = 0.000), Banyumas Regency (Purwokerto) (Q = 0.271), and Tegal Regency (Q = 0.492) are the highest-priority locations for EVCS development. Ranking validation using the Normalized Discounted Cumulative Gain (NDCG) yields a value of 0.963, indicating a very high level of agreement with the reference ranking, while the Spearman rank correlation coefficient of 0.832 reflects a strong positive consistency. The novelty of this study lies in integrating up-to-date regional statistical indicators with a fully objective Entropy-VIKOR framework complemented by ranking validation, providing a reliable data-driven decision-support tool for policymakers and investors in regional EVCS infrastructure planning.