Article Per Year (5 Year)
p-Index From 2021 - 2026
1.037
P-Index
This Author published in this journals
All Journal J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Varian JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Mathematics and Applications (MAp) Journal Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan
Ni'matuzzahroh, Ludia
Unknown Affiliation
Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Varian

 1 
Mengeksplorasi Masalah Kejahatan dari POV Statistik dengan Regresi Binomial Negatif Dani, Andrea Tri Rian; Fathurahman, M.; Ni'matuzzahroh, Ludia; Putri Permata, Regita; Putra, Fachrian Bimantoro
Jurnal Varian Vol. 8 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i2.4445

Abstract

Criminality is a complex issue in Indonesia that is very important to the government, law enforcement agencies, and society. The underlying causes of Indonesia's crime problem are complex and impacted by various circumstances. The aim of this research is to model the crime problem in Indonesia and determine the influencing factors.  The method used in this research is Negative Binomial Regression. The results of the study show that the negative binomial regression model can be used to model criminal problems because the variance value is more significant than the average. Based on the parameter significance test results, both simultaneously and partially, the open unemployment rate, Gini ratio, average years of schooling, and prevalence of inadequate food consumption significantly affect the crime rate, with an Akaike’s Information Criterion Corrected (AICc) value of 698,098. These findings suggest that addressing economic inequality, unemployment, education, and food security could help reduce crime in Indonesia. Policies aimed at improving job opportunities, reducing income disparity, and enhancing education and food security are crucial in mitigating crime. This study provides valuable insights for policymakers and law enforcement agencies, offering a foundation for more targeted and effective crime prevention strategies. Future research could employ the robust Poisson Inverse Gaussian Regression method to avoid the overdispersion problem. 
Co-Authors AVIANTHOLIB, IGAR CALVERIA Chandra, Yossy Dani, Andrea Tri Rian Fadhli, Muhammad Rizqi Khoironi Fais Hamzah Fitriyah, Nadiyatul M. Fathurahman NARITA YURI ADRIANINGSIH Novidianto, Raditya Pratiwi, Sindi Wahyu Primaningtyas, Widya Emilia Putra, Fachrian Bimantoro Regita Putri Permata Sri Wigantono Vita Ratnasari