Klasterisasi Spasial Frekuensi VHF dan Pemetaan Risiko Interferensi pada 219 Bandara Indonesia menggunakan PCA–FASTCLUS
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Abstract
Penelitian ini menelaah bagaimana klasterisasi spektrum VHF dapat mengurangi potensi interferensi antarbandara di ruang udara Indonesia yang padat. Berlandaskan konsep interaksi spasial dan risiko spectrum sharing, kedekatan geografis antarbandara dan jarak frekuensi (Δf) dikaitkan dengan probabilitas terjadinya interferensi, serta memosisikan klasterisasi sebagai prasyarat koordinasi berbasis data. Data multi-layanan VHF dari 219 bandara dinormalisasikan dan dianalisis, Menggunakan Principal Component Analysis (PCA) untuk mempertahankan komponen yang menjelaskan ≥70% variasi, Selanjutnya, algoritma FASTCLUS digunakan untuk membentuk kelompok yang koheren secara spasial. Pasangan bandara yang berpotensi berisiko diidentifikasi dengan kriteria jarak <50 km dan Δf <0,2 MHz (uji kepekaan: 0,3 MHz). Hasil analisis menunjukkan terdapat 37 pasangan bandara memenuhi kedua kriteria tersebut; pola yang teridentifikasi menunjukkan adanya kantong kepadatan dengan penyempitan adjacent-channel spacing yang mengindikasikan kemungkinan inertia kebijakan dalam pengelolaan spektrum (spectrum housekeeping). Berdasarkan temuan tersebut, disusun daftar prioritas watchlist berperingkat untuk AirNav/Kominfo guna memandu penataan ulang kanal dan koordinasi lintas wilayah, mendukung SDG 9 dan SDG 16. Pendekatan yang digunakan mengintegrasikan PCA–FASTCLUS dengan skrining Δf–jarak menjadi pipeline praktis, replikabel, dan siap regulator.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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