Analisis Tempat Lokasi Kejadian Rawan Kriminalitas Pencurian Motor diDaerah Kabupaten Musi Banyuasin dari Tahun 2021-2024 denganMenggunakan Metode Machine Learning Berfokus pada KlasifikasiPrediksi
Abstract
Pencurian sepeda motor merupakan salah satu
bentuk kejahatan yang sering terjadi di wilayah
berkembang seperti Kabupaten Musi Banyuasin.
Penelitian ini menerapkan algoritma Random Forest untuk
mengklasifikasikan wilayah berdasarkan tingkat risiko
kriminalitas ke dalam tiga kategori, Rawan, Cukup
Rawan, dan Aman. Model dibangun menggunakan data
riil kepolisian periode 2021–2024 yang terdiri dari 390
sampel dengan 13 fitur utama. Hasil penelitian
menunjukkan akurasi klasifikasi sebesar 85%, dengan
performa terbaik pada kelas Rawan, namun kelemahan
pada kelas Cukup Rawan akibat distribusi data yang tidak
seimbang. Penelitian ini memberikan kontribusi orisinal
dengan penerapan machine learning pada konteks spasial
lokal Kabupaten Musi Banyuasin yang belum banyak
diteliti. Hasil penelitian diharapkan dapat menjadi dasar
pengambilan keputusan pencegahan kejahatan yang
berbasis data.
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