Penerapan Data Mining Algoritma J48 Untuk Mengidentifikasi Faktor-Faktor Kecelakaan Kerja

Abstract

Accidents are an unplanned event even in a construction project where accidents often occur due to various factors. We see in the construction service industry, which is one of the industrial sectors that have a high risk of workplace accidents. The number of work accidents that occur is inseparable from the Human Error factor, of course has an impact on the performance and work carried out. The method used in this analysis is the J48 Algorithm, which is one of the modern algorithms to do Data Mining. The J48 algorithm is also called a decision tree. tree) is one of the classification methods that uses tree structure representation, and at each node represents attributes, branches represent values of attributes, and leaves present classes. The concept of this decision tree is to collect data and then make a decision tree which will then produce a rule -rule solution to the problem. from the results of the research the factors that cause the occurrence of work accident accidents that often occur are the Workplace Environment, Personal Protection Tools, Materials, Workers and How to Work Signs - Safety Signs