PEMETAAN POLA SPASIAL KRIMINALITAS BERDASARKAN JENIS KEJAHATAN DARI TEKS BERITA DARING MENGGUNAKAN KNN-RELATIVE DENSITY ESTIMATION - Submit Jurnal/Seminar

Setianingrum, Siti (2026) PEMETAAN POLA SPASIAL KRIMINALITAS BERDASARKAN JENIS KEJAHATAN DARI TEKS BERITA DARING MENGGUNAKAN KNN-RELATIVE DENSITY ESTIMATION - Submit Jurnal/Seminar. Bachelor thesis, Institut Teknologi Kalimantan.

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Abstract

Kriminalitas merupakan fenomena sosial yang terus berkembang dengan karakteristik berbeda di setiap wilayah. Informasi mengenai kejadian kriminal di Indonesia banyak tersedia dalam bentuk teks berita daring, namun bersifat tidak terstruktur sehingga sulit dianalisis menggunakan metode statistik konvensional. Selain itu, penelitian terdahulu masih berfokus pada jumlah kejadian secara keseluruhan tanpa membedakan pola spasial berdasarkan jenis kejahatan. Oleh karena itu, penelitian ini menggabungkan pendekatan text mining dan analisis spasial untuk mengekstraksi informasi dari teks berita sekaligus menganalisis pola sebaran kriminalitas berdasarkan jenis kejahatan. Penelitian ini menggunakan 21.283 artikel berita kriminal dari Detikcom periode Oktober 2024 hingga Desember 2025 yang dikumpulkan melalui web scraping. Data teks diproses melalui tahapan preprocessing, kemudian direpresentasikan menggunakan Term Frequency–Inverse Document Frequency (TF-IDF). Pemodelan topik dilakukan menggunakan Non-Negative Matrix Factorization (NMF) dan analisis kepadatan spasial menggunakan k-Nearest Neighbor–Relative Density Estimation (kNN RDE). Hasil pemodelan NMF menghasilkan 7 topik optimal dengan nilai coherence score tertinggi sebesar 0,7416, di mana topik tersebut berisi jenis kejahatan penganiayaan, narkotika, pencurian, penipuan, dan pembunuhan. Analisis kNN RDE dengan nilai k optimal sebesar 30 menunjukkan kepadatan relatif yang berbeda di setiap wilayah untuk masing-masing jenis kejahatan. Kejahatan narkotika memiliki kepadatan relatif tertinggi di Jakarta Pusat, pencurian di Bogor, penganiayaan di Palembang, penipuan di Jakarta Selatan, dan pembunuhan di Medan. Secara keseluruhan, kriminalitas di Indonesia cenderung terkonsentrasi di Pulau Jawa, sebagian Sumatera, dan Sulawesi, sementara wilayah Kalimantan, Maluku, dan Papua memiliki tingkat kepadatan yang lebih rendah. Kata kunci: analisis spasial, kNN-RDE, kriminalitas, NMF, teks berita daring

Item Type:	Thesis (Bachelor)
Subjects:	A General Works > AS Academies and learned societies (General)
Divisions:	Jurusan Matematika dan Teknologi Informasi > Statistik
Depositing User:	Siti Setianingrum
Date Deposited:	09 Jul 2026 03:40
Last Modified:	09 Jul 2026 03:40
URI:	http://repository.itk.ac.id/id/eprint/26145

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