Journal of Applied Business, Taxation and Economics Research

Analysis of Factors Affecting the Human Development Index in Regencies/Municipalities of Banten Province in 2020–2024

Deris Desmawan, Rizal Syaifudin, Ewing Yuvisa Ibrani — Wed, 10 Jun 2026 00:00:00 +0000

This study aims to analyze the factors affecting the Human Development Index in regencies and municipalities of Banten Province during 2020–2024. The dependent variable in this study is the Human Development Index, while the independent variables include Poverty Rate, Population Density, Labor Force Participation Rate, Life Expectancy, District/City Minimum Wage, and Environmental Quality Index. This study uses secondary data in the form of panel data covering 8 regencies/municipalities in Banten Province during the 2020–2024 period. The analytical method employed is panel data regression, with the Random Effect Model selected as the best model. The results show that, partially, only Life Expectancy has a positive and significant effect on the Human Development Index. Meanwhile, Poverty Rate and Environmental Quality Index have negative but insignificant effects, while Population Density, Labor Force Participation Rate, and District/City Minimum Wage have positive but insignificant effects. Simultaneously, all independent variables affect the Human Development Index. The overall R-squared value of 0.8583 indicates that the independent variables explain 85.83 percent of the variation in the Human Development Index.

The The Effect of Information System of Management ERP and Work Environment to Employee Productivity

Mona Turisna Nasution, Andrian Jeefry — Wed, 10 Jun 2026 00:00:00 +0000

This research was made to determine the effect of ERP management information systems and work environment on employee work productivity. The method used in this study is causal associative of 26 respondents of PT. X . To measure the questionnaire data used, the data analysis technique used is the validity test, reliability test and classic assumption test using the normality test using the Kolmogorov-Smirnov test and multicollinearity test by looking at VIF. To measure this research the researchers influence the ERP management information system and work environment on productivity using multiple linear regression analysis, determinant analysis, partial T test, simultaneous F test using SPSS 20 software. The results revealed a partial T test that the management information system partially influences work productivity. The work environment partially influences work productivity, whereas based on the simultaneous F test of the ERP management information system and work environment together it influences work productivity. So it can be concluded that the better the performance of the company's ERP management information system and the better the work environment, the higher the level of employee productivity.