PENENTUAN JENIS KECELAKAAN LALU LINTA DI KOTA SAMARINDA MENGGUNAKAN METODE DECISION TREE

Khanisa Octavia; Fendy Yulianto; Taghfirul Azhima Yoga Siswa

doi:10.36989/didaktik.v11i01.5589

Khanisa Octavia Teknik Informatika,Universitas Muhammadiyah Kalimantan Timur
Fendy Yulianto Teknik Informatika,Universitas Muhammadiyah Kalimantan Timur
Taghfirul Azhima Yoga Siswa Teknik Informatika,Universitas Muhammadiyah Kalimantan Timur

DOI: https://doi.org/10.36989/didaktik.v11i01.5589

Keywords: Classification, Accidents, Decision Tree, K-Fold Cross Validation, Samarinda City

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.

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