Analisis Regresi Faktor Yang Mempengaruhi Kejahatan Yang Dilaporkan Di Indonesia Sebelum Pandemi Covid 19

Abstract

Indonesia is one of the countries with a high crime rate in the world and even the crime rate has increased by 38.45% in mid-2020, this is an interesting problem to research, especially before the Covid 19 pandemic. The purpose of this study is to determine the factors economic and social influences on the crime rate at the provincial level in Indonesia. The method used is a quantitative method using secondary data. The data used is ex post-facto and the type of data is cross sectional. The data used were 34 provinces in Indonesia in 2019 using factor regression analysis techniques. Before carrying out a factor regression analysis, first the exogenous variables must be factored so that the factors from these variables are formed, and only then regressed between the endogenous variables and the variables formed from the results of the factors of the exogenous variables. The results showed that the crime rate was influenced by the group of variables of PDRB, population density, IPM, and the dropout rate.