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All Journal Epsilon: Jurnal Matematika Murni dan Terapan Square : Journal of Mathematics and Mathematics Education
Safaat Yulianto
Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang
Decision Sciences, Operations Research & Management Education Mathematics Transportation

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Analisis Pertumbuhan Ekonomi Pra, Saat, dan Pasca Pandemi di Provinsi Nusa Tenggara Timur Menggunakan Analisis Regresi Data Panel Safaat Yulianto; Elisabeth Jeany Juanita Boisala; Zakaria Bani Ikhtiyar
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 2 (2025)
Publisher : UIN Walisongo Semarang

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Abstract

Economic growth serves as a key factor in analyzing the economic conditions of a country or region. The secondary panel data used in this study consists of a combination of cross-sectional data from five regencies/cities in East Nusa Tenggara (NTT) that were most affected by the COVID-19 pandemic. This time-series data spans from 2018 to 2023 and is split into three phases: the period before the pandemic, the pandemic period, and the post-pandemic period.This study aims to analyze the factors influencing economic growth in NTT Province during the pre-, during-, and the period after the pandemic. The research employs the Fixed Effect Model (FEM) with Gross Regional Domestic Product (GRDP) as the dependent variable. The independent variables include the Regional Minimum Wage (UMR), Per Capita Expenditure, Labor Force Participation Rate (TPAK), and Domestic Investment (PMDN). The research findings indicate that the variables that significantly influence economic growth in NTT Province are the Regional Minimum Wage and Per Capita Expenditure. The Regional Minimum Wage has a negative impact on economic growth, whereas Per Capita Expenditure has a positive impact. This means that an increase in the Regional Minimum Wage will decrease economic growth, while an increase in Per Capita Expenditure will enhance economic growth.
VARIABEL YANG MEMPENGARUHI KRIMINALITAS DI WILAYAH SULAWESI UTARA MENGGUNAKAN REGRESI DATA PANEL Dwi Hartiana Rahmasari; Safaat Yulianto
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 19, No 2 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v19i2.15377

Abstract

North Sulawesi Province has high economic and tourism potential due to its rich agricultural and mining resources and natural beauty, attracting investors and tourists. However, the high crime rate in North Sulawesi Province raises concerns about economic sustainability and social stability. Investors will tend to choose safe and stable places to invest, while tourists will also choose safe places to vacation. This study aims to analyze the variables that influence crime rates in North Sulawesi Province. Previous studies have shown that crime rates are influenced by several factors, including education, unemployment, poverty, and inequality. These variables will be analyzed using panel data regression. Panel data regression is used because crime rates vary across regions and over time. Thus, panel data can reveal the effects of inter-regional and inter-temporal factors. The study covers 11 districts and 4 cities in North Sulawesi Province, spanning the period from 2021 to 2023. The results of the panel data regression indicate that the most appropriate model is the Fixed Effect Model (FEM). Based on the results of the Fixed Effect Model (FEM), it is found that poverty and inequality significantly influence crime, while education and unemployment do not significantly influence crime. The Adjusted R Square value is 0.8132, meaning that 81.32% of crime in the North Sulawesi region can be explained by education, unemployment, poverty, and inequality, while 18.68% is explained by other factors.
Co-Authors Dwi Hartiana Rahmasari Elisabeth Jeany Juanita Boisala Zakaria Bani Ikhtiyar