Analisis Pola Penyimpangan Perilaku Remaja di Kota Padang Dengan Metode FP-Growth

Authors

  • Muhammad Hafizh Universitas Putra Indonesia YPTK Padang
  • Triana Novita Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.33022/ijcs.v9i2.274

Keywords:

data mining, association rules, FP-Growth, frequent itemset, FP- Tree, behavioral deviations, data minig

Abstract

Bad influence technology and environment can damage to teenagers, in major cities (Padang) of the development of the number of cases of teenage behavior abuse. For such cases, is not uncommon for law enforcers to experience difficulties in investigations, especially in determining who is guilty, because deviations in behavior can occur without cause. therefore there must be correct and prompt investigation to make it easier decisions. way that can be done is by using data mining FP-Growth method. FP-Growth can determine the set of frequent itemset using the concept of tree development. The study was conducted by observing several cases of adolescents that are often reported, namely the perpetrators, victims, types of cases and the location of the case. The result is a new knowledge that helps the investigation.

References

A. D. Purba, “Dampak Kenakalan Remaja Dalam Perspektif Kriminologi di kota Medan,” J. Karya Ilumiah, 2014.

Shofwatal Qolbiyyah, “Kenakalan Remaja (Analisis Tentang Faktor Penyebab dan Solusinya dalam Perspektif Pendidikan Agama Islam),” Sumbula J. Stud. Keagamaan, Sos. dan Budaya, 2017.

S. Soeroso, “Masalah Kesehatan Remaja,” Sari Pediatr., 2016, doi: 10.14238/sp3.3.2001.189-97.

N. Hidayati, “Hubungan Harga Diri Dan Konformitas Teman Sebaya Dengan Kenakalan Remaja,” J. Penelit. Pendidik. Indones., 2015.

A. Ikhwan, D. Nofriansyah, and Sriani, “Penerapan Data Mining dengan Algoritma Fp-Growth untuk Mendukung Strategi Promosi Pendidikan ( Studi Kasus Kampus STMIK Triguna Dharma ),” Saintikom, 2015.

E. Elisa and N. Azwanti, “Algoritma FP-Growth untuk Menganalisa Frekuensi Pembelian Gas Elpiji 3 Kg,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., 2019, doi: 10.29407/intensif.v3i1.12652.

H. Sulastri and A. I. Gufroni, “Penerapan Data Mining Dalam Pengelompokan Penderita Thalassaemia,” J. Nas. Teknol. dan Sist. Inf., 2017, doi: 10.25077/teknosi.v3i2.2017.299-305.

A. Maulana and A. A. Fajrin, “Penerapan Data Mining Untuk Analisis Pola Pembelian Konsumen Dengan Algoritma FP-Growth Pada Data Transaksi Penjualan Spare Part Motor,” KLIK - Kumpul. J. ILMU Komput., 2018, doi: 10.20527/klik.v5i1.100.

Y. Dwi Lestari, “Penerapan Data Mining Menggunakan Algoritma Fp-Tree Dan FP-Growth Pada Data Transaksi Penjualan Obat,” Tek. Inform. Sekol. Tinggi Tek. Harapan, 2015.

D. Y. Hardiyanti, H. Novianti, and A. Rifai, “Penerapan Algoritma Fp-Growth Pada Sistem Informasi Perpustakaan,” Comput. Eng. Sci. Syst. J., 2018, doi: 10.24114/cess.v3i1.7789.

Downloads

Published

2020-10-29

How to Cite

Hafizh, M., & Novita, T. (2020). Analisis Pola Penyimpangan Perilaku Remaja di Kota Padang Dengan Metode FP-Growth. Indonesian Journal of Computer Science, 9(2), 156-167. https://doi.org/10.33022/ijcs.v9i2.274