SPATIAL K-MEANS CLUSTERING FOR IDENTIFYING OPTIMAL SUSTAINABLE AVIATION FUEL PRODUCTION LOCATIONS IN INDONESIA

Authors

  • Khansa Ghumaydha Dzikra Program Studi Teknologi Industri Pertanian, Universitas Padjadjaran
  • Roni Kastaman Program Studi Teknologi Industri Pertanian, Universitas Padjadjaran
  • Januardi Januardi Program Studi Teknologi Industri Pertanian, Universitas Padjadjaran

Keywords:

Indonesia, K-Means Clustering, Palm Oil Mill Effluent, Sustainable Aviation Fuel, Used Cooking Oil, Facility Location

Abstract

Indonesia holds substantial feedstock potential for Sustainable Aviation Fuel (SAF) production, particularly from Used Cooking Oil (UCO) and Palm Oil Mill Effluent (POME), yet only one SAF production facility is currently in operation. The geographical mismatch between widely dispersed feedstock sources and centralized production infrastructure remains a key bottleneck for national SAF development. This study applies a Spatial K-Means Clustering approach to the coordinates of 15 feedstock-producing provinces and 36 international airports across Indonesia to identify optimal locations for SAF production facilities. Three scenarios were comparatively analyzed using the Within-Cluster Sum of Squares (WCSS) metric, which covers configurations of 2, 3, and 4 production facilities with the existing facility in Cilacap incorporated as a fixed centroid. The results show that the 3-facility scenario is the most optimal configuration, recommending two new facilities in Riau and Central Kalimantan to complement the existing Cilacap facility, achieving a 55% reduction in WCSS compared to the 2-facility scenario. This study also identifies an infrastructure gap in Eastern Indonesia that warrants a dedicated policy approach, given the limited availability of UCO and POME feedstock in that region.

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References

[1] N. Dolsak and A. Prakash, "Different approaches to reducing aviation emissions: reviewing the structure-agency debate in climate policy," natureportfolio, vol. 1, 2022, doi: 10.1007/s44168-022-00001-w.

[2] ICAO Global Framework for SAF, LCAF and other Aviation Cleaner Energies, I. C. A. Organization, 2023.

[3] B. Kolosz, Y. Luo, B. Xu, M. Maroto-Valer, and J. Andresen, "Life cycle environmental analysis of ‘drop in’ alternative aviation fuels: a review," Sustainable Energy and Fuels, no. 7, 2020, doi: 10.1039/C9SE00788A.

[4] Shell, "Shell First to Supply SAF to Customers in Singapore," in Renewable Energy Magazine, Biofuels, Ed., ed. Singapore: S&P Global, 2022.

[5] Petronas, "PETRONAS Delivers Malaysia's First Locally Blended SAF, Marking Breakthrough in Aviation Decarbonisation," ed. Malaysia, 2025.

[6] BP, "Thailand's refiners adjust to clean energy," Business, Ed., ed. Bangkok, Thailand: Bangkok Post, 2025.

[7] C. E. Group. Cosmo's Commitment to Domestic SAF for a Sustainable Future [Online] Available: https://www.cosmo-energy.co.jp/en/company/vision2030/next-generation-energy/domestic_saf.html

[8] B. Mawhood, E. Gazis, R. Hoefnagels, and R. Slade, "Production pathways for renewable jet fuel: a review of commercialization status and future prospects," Biofuels Bioproducts and Biorefining, vol. 10, pp. 462-484, 2016, doi: 10.1002/bbb.1644.

[9] L. Judianto, "Treasure from Palm Oil Waste: POME as Low-Emission Fuel for Aviation," Journal of Scientific Engineering Advances, vol. 1, no. 1, 2025, doi: 10.63721/25JSEA0104.

[10] V. N. Setiawan, "Potensi Besar, RI Harusnya Bisa Hasilkan Biometanol 1,6 Juta Ton/Tahun," in CNBC Indonesia, ed. Jakarta: CNBC, 2026.

[11] A. Tanzil, K. Brandt, M. Wolcott, X. Zhang, and M. Garcia-Perez, "Strategic assessment of sustainable aviation fuel production technologies: Yield improvement and cost reduction opportunities," Biomass and Bioenergy, vol. 145, 2021, doi: 10.1016/j.biombioe.2020.105942.

[12] I. Christou et al., "A heuristic for improving clustering in biomass supply chains.," International Journal of Systems Science: Operations & Logistics vol. 11, 2024, doi: 10.1080/23302674.2024.2378859.

[13] R. Z. Farahani, S. Fallah, R. Ruiz, S. Hosseini, and N. Asgari, "OR Models in Urban Service Facility Location: A Critical Review of Applications and Future Developments," European Journal of Operational Research, vol. 267, 1, 2018, doi: 10.1016/j.ejor.2018.07.036.

[14] Y. Tanoto, G. Budhi, and S. Mingardi, "Clustering-based assessment of solar irradiation and temperature attributes for PV power generation site selection: A case of Indonesia’s Java-Bali region," International Journal of Renewable Energy Development, vol. 13, no. 2, 2024, doi: 10.61435/ijred.2024.59998.

[15] S. Doliente, A. Narayan, J. Tapia, N. Samsatli, Y. Zhao, and S. Samsatli, "Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components," Frontiers, vol. 8, 2020, doi: 10.3389/fenrg.2020.00110.

[16] E. Jorje, V. Garcia, R. Palacios, and A. Ensinas, "Optimisation for Sustainable Supply Chain of Aviation Fuel, Green Diesel, and Gasoline from Microalgae Cultivated in Sugarcane Vinasse," MDPI, vol. 13, 2025, doi: 10.3390/pr13051326.

[17] P. Li et al., "Spatial optimization of the sustainable aviation fuel supply chains from forest residues via fast pyrolysis/hydrotreatment considering feedstock ash content variability," Biomass and Bioenergy, vol. 208, 2026, doi: 10.1016/j.biombioe.2025.108793.

[18] P. A. Oktadina, A. Syarif, M. Yerizam, and A. Medi, "The Characterization of Used Cooking Oil as a Raw Material to Produce Biofuel Using CoMo/Bottom Ash with Catalytic Cracking Process," Journal of Mechanical, Civil and Industrial Engineering, vol. 4, no. 3, pp. 37-42, 2023, doi: 10.32996/jmcie.2023.

[19] P. Putri, Y. Zahira, M. Masita, and M. Abu Bakar, "Characteristics of residual oil extracted from palm oil mill effluent (POME)," World Applied Sciences Journal, vol. 27, no. 11, pp. 1482-1484, 2013, doi: 10.5829/idosi.wasj.2013.27.11.1422.

[20] A. Jorge, M.-H. Elías, and C.-L. Arick, "Is Sustainable Aviation Fuel Production Through Hydroprocessing of Esters and Fatty Acids (HEFA) and Alcohol-to-Jet (ATJ) Technologies Feasible in Mexico?," Sustainability, vol. 17, 2025, doi: 10.3390/su17041584.

[21] S. Buczkowska, N. Coulombel, and M. Lapparent, "A Comparison of Euclidean Distance, Travel Times, and Network Distances in Location Choice Mixture Models," Network and Spatial Economics, vol. 19, 4, 2019, doi: 10.1007/s11067-018-9439-5.

[22] F. Psathas, P. Georgiou, and A. Rentizelas, "Optimizing the design of a biomass-to-biofuel supply chain network," Energies, vol. 15, 2022, doi: 10.3390/en15145278.

[23] N. Fadhillah, Sawaluddin, and S. Saib, "A Multi-Objective Optimization Model For Sustainable Supply Chain Network " Jurnal Sains, Matematika, dan Terapan, vol. 9, 1, 2025, doi: 10.30829/zero.v9i1.24654.

[24] A. Mohammad, Karimi and N. Hossein, "Resilient biofuel supply chain network design under disruption risk and uncertainty considering parameter dependency: Iran case study," Computers and Chemical Engineering, vol. 201, 2025, doi: 10.1016/j.compchemeng.2025.109267.

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Published

2026-06-28

How to Cite

Dzikra, K. G., Kastaman, R., & Januardi, J. (2026). SPATIAL K-MEANS CLUSTERING FOR IDENTIFYING OPTIMAL SUSTAINABLE AVIATION FUEL PRODUCTION LOCATIONS IN INDONESIA. Jurnal Teknologi Dan Riset Terapan (JATRA), 8(1), 20–27. Retrieved from https://jurnal.polibatam.ac.id/index.php/JATRA/article/view/13032

Issue

Vol. 8 No. 1 (2026): Jurnal Teknologi Dan Riset Terapan (JATRA) - Juni 2026

Section

Research Articles

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