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All Journal Jurnal Teknik Informatika dan Elektro (JURTIE)
Muhammad Fajri
Universitas Gajah Putih Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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PREDIKSI PENYEBAB KECELAKAAN LALU LINTAS DI JALAN LINTANG KABUPATEN ACEH TENGAH MENGUNAKAN METODE APRIORI Richasanty Septima; Ira Zulfa; Muhammad Fajri
Jurnal Teknik Informatika dan Elektro Vol 4 No 1 (2022): Januari: Jurnal Teknik Informatika dan Elektro
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.328 KB) | DOI: 10.55542/jurtie.v4i1.111

Abstract

The increasing number of traffic accidents from year to year requires serious attention and mitigation. Because considering that traffic accidents are a high enough killer factor. The dominant factor that causes the accident is difficult to know, because the driver's error factor is still the benchmark, especially on Jalan Lintang Kampung Kemili. Bebesen District, Central Aceh Regency. The Apriori method works by finding the frequent item set from a data stored in a large database. Aims to find out the dominant causes of traffic accidents. The basic idea of ​​the Apriori algorithm is to find a combination of items that meet the minimum requirements of the support value in the database. The support value of an item is obtained Frequent itemset which shows the itemset that has a frequency of occurrence more than the specified minimum value. The results of the multiplication between the support and confidence factors that caused accidents that often occurred during 2018 were caused by drivers under U (age) who often violated traffic and the physical condition of the drivers causing a high accident rate with a support value of 16% and a confidence value of 50%.
Co-Authors Ira Zulfa Richasanty Septima