Article Per Year (5 Year)
p-Index From 2021 - 2026
2.233
P-Index
This Author published in this journals
All Journal Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jambura Journal of Chemistry M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Infinity Jurnal Matematika dan Aplikasinya (IJMA) Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Journal Artificial: Informatika dan Sistem Informasi Jurnal Matematika
Mustawinar, Besse Helmi
Universitas Cokroaminoto Palopo
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Analysis of Environmental Factors On The Risk Of Drug Abuse Using Naïve Bayes And Decision Tree Data Mining Algorithms Fitra Galatya Putry; Besse Helmi Mustawinar; Fitriani A
Jurnal Matematika Vol. 15 No. 2 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Udayana University Gedung UKM, Ruang UKM 8 Lt 1, Kampus Bukit Jimbaran, Badung-Bali.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2025.v15.i02.p188

Abstract

This study aims to analyse and compare the performance of the Naïve Bayes classification model and Decision Tree C5.0 in predicting environmental risk factors for drug abuse in Palopo City. The research data come from the Badan Narkotika Nasional Kota Palopo, comprising a total of 74 data points with environmental label attributes and five main attributes. The data were processed through feature selection stages using Random Forest and model validation using the Leave-One-Out Cross-Validation (LOOCV) method to obtain unbiased performance estimates. The results show that personality is the most dominant attribute in determining environmental factors for drug abuse. In the performance comparison, the Naïve Bayes algorithm proved superior with an overall accuracy of 50.00% and a Mean Balanced Accuracy of 62.33%, surpassing Decision Tree C5.0 (accuracy of 47.30%). The main implication of this finding is that the Naïve Bayes model exhibits high specificity (79.39%), making it a reliable tool for early screening to validate the safety of the social environment. Practically, these findings suggest that BNNK Palopo prioritise interventions that focus on strengthening psychosocial aspects (personality) and utilise the Naïve Bayes model for more efficient and targeted resource allocation.
Co-Authors Ahmad Syukur Daming Arifanti, Dwi Risky Fitra Galatya Putry Fitriani A. Hamdani, Nurul Fuady Adhalia Hamdani, Ulfah Zakiyah Hidayat, Rahmat Musdalipa, Musdalipa Nurasia Nurasia, Nurasia Nurul Fuady Adhalia H Rahmat Hidayat Ramadhani, Muta' Alya Ramadhani, Muta’ Alya Rusmala, Rusmala Sam, Marwan Sukarti Sukarti Sukarto, Made Yanti, Rosmalah YULIANI Yuliani Yuliani Yulyani Wardi, Ridha