SPATIAL K-MEANS CLUSTERING FOR IDENTIFYING OPTIMAL SUSTAINABLE AVIATION FUEL PRODUCTION LOCATIONS IN INDONESIA
Kata Kunci:
Indonesia, K-Means Clustering, Palm Oil Mill Effluent, Sustainable Aviation Fuel, Used Cooking Oil, Facility LocationAbstrak
Indonesia memiliki bahan baku potensial yang besar untuk produksi Sustainable Aviation Fuel (SAF), khususnya dari minyak jelantah dan limbah cair kelapa sawit (POME). Namun hingga saat ini baru terdapat satu fasilitas produksi SAF yang beroperasi di Indonesia. Ketimpangan geografis antara sumber bahan baku yang tersebar luas dengan infrastruktur produksi yang masih terpusat menjadi hambatan utama dalam pengembangan SAF nasional. Penelitian ini menerapkan pendekatan K-Means Clustering pada koordinat 15 provinsi penghasil bahan baku dan 36 bandara internasional di Indonesia untuk mengidentifikasi lokasi optimal fasilitas produksi SAF. Tiga skenario dianalisis secara komparatif menggunakan metrik Within-Cluster Sum of Squares (WCSS), mencakup konfigurasi 2, 3, dan 4 fasilitas produksi dengan fasilitas existing di Cilacap ditetapkan sebagai centroid tetap. Hasil analisis menunjukkan bahwa skenario 3 fasilitas merupakan konfigurasi paling optimal, merekomendasikan dua fasilitas baru di Riau dan Kalimantan Tengah sebagai pelengkap fasilitas Cilacap yang sudah ada, dengan penurunan WCSS sebesar 55% dibandingkan skenario 2 fasilitas. Penelitian ini juga mengidentifikasi kesenjangan infrastruktur di Indonesia Timur yang memerlukan pendekatan kebijakan tersendiri, mengingat keterbatasan ketersediaan feedstock UCO dan POME di wilayah tersebut.
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