Clustering Titik Panas Menggunakan Algoritma Agglomerative Hierarchical Clustering (AHC)
نویسندگان
چکیده
Kebakaran hutan di Indonesia setiap tahunnya masih sering terjadi. Dalam menanggulangi kebakaran sendiri, para peneliti belakangan ini semakin fokus untuk melakukan pengembangan sistem yang mampu prediksi hutan. Selain mengenai hutan, antisipasi dapat dilakukan membantu menangani pencegahan salah satunya adalah pengelompokkan terhadap wilayah memiliki potensi kebakaran. Pada penelitian Clusterisasi titik panas (hotspot) membagi berpotensi terbakar. Pengelompokkan berdasarkan cluster rendah, sedang, dan tinggi. menggunakan algoritma Agglomerative Hierarchical Clustering (AHC). Data digunakan pada perhitungan Kalimantan Barat dengan variable longitude, latitude, frp, confidence, curah hujan menentukan clustering Tujuan dalam mengcluster terjadi sehingga peluang segera ditindaklanjuti. Dari hasil pengujian diperoleh pembentukan 2 dimana menunjukkan terbentuk kelas sedang tinggi nilai evaluasi silhouette coefficient 0,771.
 Kata kunci— Clustering, panas,
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ژورنال
عنوان ژورنال: Cogito smart journal
سال: 2022
ISSN: ['2541-2221', '2477-8079']
DOI: https://doi.org/10.31154/cogito.v8i2.438.501-513