The Influence Of Various Toll Accident Factors For The Wound Suffered By The Victim Using C4.5 Algorithm
Pengaruh Berbagai Faktor Kecelakaan Di Jalan Tol Terhadap Luka Yang Diderita Korban Menggunakan Algoritma C4.5
-
(1) * Andi Azhar Mustary Husein
Universitas Muhammadiyah Sidoarjo
Indonesia
(*) Corresponding Author
Abstract
The toll road is the main road that connects one city to another, used to speed up the journey of public and corporate vehicles. However, toll roads are no longer safe because of human negligence who does not obey existing regulations, resulting in victims. The C4.5 algorithm is one of the algorithms used to form a decision tree based on training data. This algorithm is a very powerful and well known classification and prediction method. The process of processing accident data in toll road management companies has not used data mining methods. So it is necessary to create a data mining method using the C4.5 algorithm. With this method, it is expected to be able to assist toll road managers in dealing with existing accidents based on the results of data processing using this method. The results of this study are the results of the prediction presentation, where using manual calculations the truth rate is 86% and the error rate is 14%, for calculations using the Weka application the truth is 79% and the error rate is 21%.
Downloads
References
A. Dharma, B. M. Edison, and Rismalinda, “IDENTIFIKASI KECELAKAAN LALU LINTAS (Study Kasus Jalan Dalu-Dalu sampai Pasir Pengaraian).”
D. Wira and T. Putra, “ALGORITMA C4.5 UNTUK MENENTUKAN TINGKAT KELAYAKAN MOTOR BEKAS YANG AKAN DIJUAL,” vol. 4, no. 1, 2016.
D. T. Larose, “Discovering Knowledge in Data: An Introduction to Data Mining,” 2005. DOI: https://doi.org/10.1002/0471687545
Y. Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4.5”.
H. Susanto, “DATA MINING UNTUK MEMPREDIKSI PRESTASI SISWA BERDASARKAN SOSIAL EKONOMI, MOTIVASI, KEDISIPLINAN DAN PRESTASI MASA LALU DATA MINING TO PREDICT STUDENT’S ACHIEVEMENT BASED ON SOCIO-ECONOMIC, MOTIVATION, DISCIPLINE AND ACHIEVEMENT OF THE PAST,” 2014. DOI: https://doi.org/10.21831/jpv.v4i2.2547
E. Elisa, “Analisa dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi PT.Arupadhatu Adisesanti,” vol. 2, no. 1, 2017. DOI: https://doi.org/10.15575/join.v2i1.71
M. Muhamad, A. P. Windarto, and S. Suhada, “PENERAPAN ALGORITMA C4.5 PADA KLASIFIKASI POTENSI SISWA DROP OUT,” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 3, no. 1, Dec. 2019, doi: 10.30865/komik.v3i1.1688. DOI: https://doi.org/10.30865/komik.v3i1.1688
Rismayanti, “IMPLEMENTASI ALGORITMA C4.5 UNTUK MENENTUKAN PENERIMA BEASISWA DI STT HARAPAN MEDAN,” pp. 1–5, 2016. DOI: https://doi.org/10.37676/jmi.v12i2.413
A. Andriani, “SISTEM PREDIKSI PENYAKIT DIABETES BERBASIS DECISION TREE,” 2013.
S. Purnama, J. Henharta, Y. Perdana S, F. Ihsani, and I. W. Simri W, “Get Easy Using WEKA,” Mar. 2013.
Copyright (c) 2022 Andi Azhar Mustary Husein
This work is licensed under a Creative Commons Attribution 4.0 International License.
