Analisis Tingkat Kejahatan pada Anak Dibawah Umur Menggunakan Metode FP-Growth
DOI:
https://doi.org/10.37034/jsisfotek.v2i1.18Keywords:
Data Mining, Association Rule, Algoritmh FP-Growth, Frequent Itemset, FP-TreeAbstract
Crimes in minors are a series of negligence by parents who endanger or pose a dangerous threat to the child. The purpose of this study is to implement Data Mining, Association rule, and the FP-Growth Algorithm in cases of juvenile crime so that it can extract knowledge and important and interesting information from the database. The data source used is raw data that has not been processed and is a crime data on minors which are summarized in the form of reports from the West Sumatra Regional Police. The results of this study are in the form of software by analyzing data collected using the FP-Growth Algorithm and using the concept of FP-Tree development in searching for Frequent Itemset, for testing the results carried out with applications that have been designed namely the Php programming language. The results of testing are obtained from associations of crime cases that often occur in minors. So it can be seen that data mining using the FP-Growth Algorithm can be used to analyze cases of crime in minors as a material consideration for the police in order to know the ins and outs of crime in children so that it can assist the investigation process.
References
Ikhwan, A., Nofriansyah, D., & Sriani. (2015). Penerapan Data Mining dengan Algoritma FP-Growth untuk Mendukung Strategi Promosi Pendidikan (Studi Kasus Kampus STMIK Triguna Dharma). Jurnal SAINTIKOM, 15(3), 211-226.
Meilani, B. D., & Azinar, A. W. (2015). Penentuan Pola Yang Sering Muncul Untuk Penerima Kartu Jaminan Kesehatan Masyarakat (JAMKESMAS) Menggunakan Metode Fp-Growth. Seminar Nasional “Inovasi dalam Desain dan Teknologi”-IdeaTech 2015.
Rusdiaman, D., & Setiyono, A. (2018). Algoritma FP-Growth Dalam Penempatan Lokasi Barang Di Gudang PT.XYZ. JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer), 4(1), 63-70.
Herasmus, H. (2017). Analisa Costumer Service System Menggunakan Metode Data Mining Dengan Algoritma FP-Growth (Studi Kasus Di PT Batamindo Investment Cakrawala). Jurnal Teknik Ibnu Sina (JT-IBSI).
Afdal, M. (2018). Implementasi Data Mining dalam Pencarian Daerah Strategis untuk Pengenalan Sekolah Swasta dengan Metode FP-Growth. JURNAL INSTEK (Informatika Sains Dan Teknologi), 3(2).
Maulana, A., & Fajrin, A. A. (2018). Penerapan Data Mining untuk Analisis Pola Pembelian Konsumen dengan Algoritma FP-Growth pada Data Transaksi Penjualan Spare Part Motor. Kumpulan Jurnal Ilmu Komputer (KLIK), 5(1).
Elwani, E. (2017). Penentuan Aturan Asosiasi pada Transaksi Peminjaman Buku Menggunakan Algoritma FP-Growth. Jurnal Informatika, Manajemen Dan Komputer, 9(1). DOI: http://dx.doi.org/10.36723/juri.v9i1.59 .
Fitriyani, F. (2015). Implementasi Algoritma FP-Growth Menggunakan Association Rule pada Market Basket Analysis. Jurnal Informatika, 2(1). DOI: https://doi.org/10.31311/ji.v2i1.85 .
Hilmy, N. F., & Andoko, B. S. (2016). Rancang Bangun Aplikasi Data Mining Analisis Tingkat Kelulusan Menggunakan Algoritma FP-Growth (Studi Kasus Di Politeknik Negeri Malang). Jurnal Informatika Polinema, 2(4). DOI: https://doi.org/10.33795/jip.v2i4.76 .
Fauzy, M., W, K. R. S., & Asror, I. (2016). Penerapan Metode Association Rule Menggunakan Algoritma Apriori pada Simulasi Prediksi Hujan Wilayah Kota Bandung. Jurnal Ilmiah Teknologi Informasi Terapan (JITTER), 2(3).
