Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Didaktik : Jurnal Ilmiah PGSD STKIP Subang
Fendy Yulianto
Teknik Informatika,Universitas Muhammadiyah Kalimantan Timur
Education

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENENTUAN JENIS KECELAKAAN LALU LINTA DI KOTA SAMARINDA MENGGUNAKAN METODE DECISION TREE Khanisa Octavia; Fendy Yulianto; Taghfirul Azhima Yoga Siswa
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 01 (2025): Volume 11 No. 01 Maret 2025 In Proccess
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v11i01.5589

Abstract

Traffic accidents are one of the main causes of death in Indonesia, so comprehensive research is needed to determine the causal factors. The aim of this research is to classify the level of traffic accidents in Samarinda City using the Decision Tree method. The data used is the result of data collection from the Samarinda City Sector Police taken from 2021 to 2024. Data collection, preprocessing, method training, and evaluation are the steps carried out in this research process. The Decision Tree method was chosen because it has the advantage of a simple and easy to understand structure. The evaluation was carried out using K-Fold Cross Validation to ensure the method's performance remains stable and avoids overfitting. The classification results in the research show that the Decision Tree method produces an accuracy of 93% with evaluation metrics such as precision, Recall, F1-Score which also show good performance. It is hoped that the results of this research will provide a useful contribution in creating data-based safety regulations and can help reduce accident rates in Samarinda City.
Co-Authors Khanisa Octavia Taghfirul Azhima Yoga Siswa