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All Journal EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
M Rasyidin
Universitas Malikussaleh Lhokseumawe
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering

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Pengaruh Pengangguran dan Pertumbuhan Penduduk Terhadap Kemiskinan di Indonesia: Analisis Data Panel Tahun 2020-2024 Farahdiba, Farahdiba; Rasyidin, M; Saleh, M
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 7 No 3 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v7i3.8273

Abstract

This study aims to analyze the effect of unemployment and population growth on poverty levels in Indonesia. The research was conducted across 34 provinces during the 2020–2024 period using secondary data obtained from the Central Bureau of Statistics. The study employed a quantitative approach with panel data regression analysis. The best model selection was carried out using the Chow, Hausman, and Lagrange Multiplier tests, which indicated that the Random Effect Model was the most appropriate. The results show that unemployment has a negative but statistically insignificant effect on poverty levels. This finding suggests that an increase in unemployment does not necessarily lead to higher poverty rates, possibly due to the role of the informal sector and social protection programs that help maintain household purchasing power. In contrast, population growth has a positive and significant effect on poverty levels. Simultaneous testing shows that both variables jointly have a significant effect on poverty, with a coefficient of determination (R²) of 3.86 percent, indicating a relatively low contribution to variations in poverty. These results imply that other factors beyond the research variables, such as income inequality, education quality, and access to basic services, have a more dominant influence. The study emphasizes the importance of integrated policies focused on controlling population growth and improving job quality to sustainably reduce poverty rates.
The Role of Artificial Intelligence and Digital Information Systems in Enhancing Organizational Management Performance Rasyidin, M; Sofyan, Asep Abdul; Supiyandi, Supiyandi; Djamaludin; Zulfikar
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1043

Abstract

The rapid development of Artificial Intelligence (AI) and Digital Information Systems has significantly influenced organizational management practices in various sectors. This research aims to analyze the role of Artificial Intelligence and Digital Information Systems in enhancing organizational management performance through improvements in operational efficiency, decision-making accuracy, employee productivity, communication effectiveness, and system reliability. The study employed a quantitative descriptive method involving organizational employees, managers, and information system administrators as research subjects. Data were collected through questionnaires, observations, and documentation analysis, then analyzed using descriptive statistical techniques. The findings indicate that the implementation of AI-supported Digital Information Systems improved operational efficiency by 23%, decision-making accuracy by 21%, employee productivity by 22%, communication effectiveness by 22%, and system reliability by 20%. The results demonstrate that AI technologies contribute significantly to automating operational processes, reducing human error, accelerating information processing, and supporting data-driven managerial decisions. In addition, integrated digital systems improved organizational coordination, transparency, and information accessibility. Despite several implementation challenges, such as infrastructure limitations and employee adaptation, organizations that successfully adopted AI technologies experienced measurable improvements in management performance and operational effectiveness. Therefore, Artificial Intelligence and Digital Information Systems can be considered effective technological solutions for supporting organizational competitiveness and sustainability in the digital era.
Co-Authors Djamaludin Farahdiba Farahdiba Saleh, M Sofyan, Asep Abdul Supiyandi Supiyandi Zulfikar