ELECTRE-Based Decision Support Model for LPG Base Location Optimization

Authors

  • Ida Ayu Putu Calista Kencana Putri Fakultas Teknologi dan Informatika, Program Studi Teknik Informatika, Institut Bisnis dan Teknologi Indonesia
  • I Gede Iwan Sudipa Fakultas Teknologi dan Informatika, Program Studi Teknik Informatika, Institut Bisnis dan Teknologi Indonesia
  • Anak Agung Gede Bagus Ariana Fakultas Teknologi dan Informatika, Program Studi Rekayasa Sistem Komputer, Institut Bisnis dan Teknologi Indonesia
  • Christina Purnama Yanti Fakultas Teknologi dan Informatika, Program Studi Teknik Informatika, Institut Bisnis dan Teknologi Indonesia
  • Anak Agung Gde Ekayana Fakultas Teknologi dan Informatika, Program Studi Rekayasa Sistem Komputer, Institut Bisnis dan Teknologi Indonesia

DOI:

10.33395/sinkron.v10i1.15500

Keywords:

Decision Making Model, 3 kg LPG, ELECTRE, Energy Distribution, LPG Base

Abstract

The kerosene to LPG (Liquefied Petroleum Gas) 3 kg conversion program since 2007 has successfully improved household energy efficiency, but equitable access to bases in remote areas is still an obstacle. In Tabanan Regency, Bali, eight villages do not have access to 3 kg LPG bases, making it difficult for the community to obtain LPG at the Highest Retail Price (HET) and timely supply. This research develops a decision-making model using the ELECTRE method to recommend optimal base locations based on a case study of four villages: Pupuan Sawah, Dalang, Mundeh, and Belatungan. The model integrates 15 criteria including population density, infrastructure accessibility, existing base distance, and the presence of public facilities with a multi-stakeholder approach. The model is expected to be a tool for LPG agents and policy makers in determining the optimal base location and supporting equitable distribution of subsidized energy.

GS Cited Analysis

Downloads

Download data is not yet available.

References

Adegbola, A. A., Ozigis, I. I., & Muhammad, I. D. (2021). Conceptual Design of Gas Distribution Pipeline Network for Estates in Nigeria. Nigerian Journal of Technology, 40(1), 25–36. https://doi.org/10.4314/njt.v40i1.5

Akmaludin, A., Sihombing, E. G., Rinawati, R., Handayanna, F., Dewi, L. S., & Arisawati, E. (2023). Generation 4.0 of the programmer selection decision support system: MCDM-AHP and ELECTRE-elimination recommendations. International Journal of Advances in Applied Sciences, 12(1), 48–59. https://doi.org/10.11591/ijaas.v12.i1.pp48-59

Akram, M., Ilyas, F., & Garg, H. (2020). Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information. Soft Computing, 24(5), 3425–3453. https://doi.org/10.1007/s00500-019-04105-0

Ali, R., Hussain, A., Nazir, S., Khan, S., & Khan, H. U. (2023). Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods. In Applied Sciences (Switzerland) (Vol. 13, Issue 22). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/app132212426

Bairagi, B. (2022). A NOVEL MCDM MODEL FOR WAREHOUSE LOCATION SELECTION IN SUPPLY CHAIN MANAGEMENT. Decision Making: Applications in Management and Engineering, 5(1), 194–207. https://doi.org/10.31181/dmame0314052022b

Bennani, M., Jawab, F., Hani, Y., ElMhamedi, A., & Amegouz, D. (2022). A Hybrid MCDM for the Location of Urban Distribution Centers under Uncertainty: A Case Study of Casablanca, Morocco. Sustainability (Switzerland), 14(15). https://doi.org/10.3390/su14159544

Bruna, F. (2024). Market potential: the measurement of domestic market size. Letters in Spatial and Resource Sciences, 17(1). https://doi.org/10.1007/s12076-024-00378-8

Ditjen Migas, K. E. (n.d.). Laporan Kinerja Tahun 2023. www.migas.esdm.go.id

Indrianti, N., Leuveano, R. A. C., Abdul-Rashid, S. H., & Ridho, M. I. (2025). Green Vehicle Routing Problem Optimization for LPG Distribution: Genetic Algorithms for Complex Constraints and Emission Reduction. Sustainability (Switzerland), 17(3). https://doi.org/10.3390/su17031144

Lasota, M. K., Jacyna, M., & Sweklej, P. (2022). The ELECTRE I decision supporting method in the selection of the organization of the transport of oversized military equipment. Systemy Logistyczne Wojsk, 57(2), 19–40. https://doi.org/10.37055/slw/163232

Makarevic, M., & Stavrou, S. (2022). Location selection of a manufacturing unit using BWM and ELECTRE III. Journal of Supply Chain Management Science. https://doi.org/10.18757/jscms.2022.6856

Martins, C. L., dos Santos-Neto, J. B. S., Frej, E. A., da Silva, L. B. L., & de Almeida, A. T. (2025). A GIS-based multicriteria decision support system for natural gas distribution planning. Discover Applied Sciences, 7(7). https://doi.org/10.1007/s42452-025-06549-6

Nghiem, T. B. H., & Chu, T. C. (2022). Evaluating Lean Facility Layout Designs Using a BWM-Based Fuzzy ELECTRE I Method. Axioms, 11(9). https://doi.org/10.3390/axioms11090447

Oberle, S., Neuwirth, M., Gnann, T., & Wietschel, M. (2022). Can Industry Keep Gas Distribution Networks Alive? Future Development of the Gas Network in a Decarbonized World: A German Case Study. Energies, 15(24). https://doi.org/10.3390/en15249596

Pajić, V., Andrejić, M., Jolović, M., & Kilibarda, M. (2024). Strategic Warehouse Location Selection in Business Logistics: A Novel Approach Using IMF SWARA–MARCOS—A Case Study of a Serbian Logistics Service Provider. Mathematics, 12(5). https://doi.org/10.3390/math12050776

PERTAMINA. (2025). info LPG 3kg - Subsidi Tepat LPG.

Shaikh, S. A., Memon, M., & Kim, K. S. (2021). A multi-criteria decision-making approach for ideal business location identification. In Applied Sciences (Switzerland) (Vol. 11, Issue 11). MDPI AG. https://doi.org/10.3390/app11114983

Sudipa, I. G. I., Hardiatama, I. K., Yanti, C. P., & Wiguna, I. K. A. G. (2022). Analisis Sensitivitas Metode AHP Dan TOPSIS Dalam Pemilihan Objek Wisata di Kabupaten Karangasem. Journal of Computer System and Informatics (JoSYC), 3(4), 493–501. https://doi.org/10.47065/josyc.v3i4.2152

Taherdoost, H., & Madanchian, M. (2023). A Comprehensive Overview of the ELECTRE Method in Multi Criteria Decision-Making. Journal of Management Science & Engineering Research, 6(2), 5–16. https://doi.org/10.30564/jmser.v6i2.5637

Downloads


Crossmark Updates

How to Cite

Putri, I. A. P. C. K., Sudipa, I. G. I. ., Ariana, A. A. G. B. ., Yanti, C. P. ., & Ekayana, A. A. G. . (2026). ELECTRE-Based Decision Support Model for LPG Base Location Optimization. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 10(1), 607-620. https://doi.org/10.33395/sinkron.v10i1.15500

Issue

Vol. 10 No. 1 (2026): Article Research January 2026

Section

Articles

License

Copyright (c) 2026 Ida Ayu Putu Calista Kencana Putri, I Gede Iwan Sudipa, Anak Agung Gede Bagus Ariana, Christina Purnama Yanti, Anak Agung Gde Ekayana

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC

Most read articles by the same author(s)

1 2 > >>