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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sistem Informasi dan Informatika (SIMIKA)
Mutiatun Nafisah
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Computer Science & IT Control & Systems Engineering

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Modeling Productive Land Determination Using Entropy-Mabac Method Based on Multicriteria Data in Central Java Province Mutiatun Nafisah; Saifur Rohman Cholil
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9538

Abstract

Central Java Province has a diversity of land use characteristics that reflect the potential as well as challenges in regional development, so that optimization of productive land is important to support economic growth, community welfare, and environmental sustainability. For this reason, this research was conducted with an objective approach using the Entropy method in determining the weight of each criterion based on actual data variations, as well as the Multi-Attributive Border Approximation Area Comparison (MABAC) method to systematically evaluate and rank the level of land productivity in 35 districts/cities. The results of the analysis show that Demak, Brebes, and Rembang districts ranked the highest in land productivity with the highest score of 0.249, while Wonogiri and Banjarnegara districts ranked the lowest with scores of -0.392 and -0.234. Validation using the Spearman Rank test resulted in a correlation coefficient of 0.82, indicating strong agreement between the method results and historical data. The findings show that the combination of Entropy and MABAC methods is effective in determining productive land, and the results are relevant as a basis for formulating sustainable land use policies, including recommendations for irrigation development, farmland protection, and strengthening spatial policies for low productivity areas.
ESTIMASI LAJU PERTUMBUHAN PENDUDUK DI KABUPATEN JEPARA DENGAN PENDEKATAN REGRESI LINIER BERGANDA Hetta Rachma; Mutiatun Nafisah; Nurtriana Hidayati
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3790

Abstract

One of the main factors in planning the development of a region is the change in population. A rapid population growth rate can have adverse effects, such as poverty, unemployment, and a decrease in the quality of human resources. The purpose of this study is to predict the population growth rate in Jepara Regency by applying the multiple linear regression method, which can be used as a basis for the government in planning strategies to improve the economy, infrastructure, and other sectors, so that in the end it can have an impact on improving the welfare and quality of life of the community. The data used was obtained from BPS Jepara Regency for the period 2019-2023. Multiple linear regression analysis was applied as the method, with the number of males (X1) and females (X2) as independent variables, and the total population (Y) as the dependent variable. Based on the analysis, the predicted population in 2024 is 1,264,598 people, the same number as in 2023, indicating a stagnant growth condition. The results of this study provide important implications for government policy planning, especially in infrastructure development strategies, economic improvement, and human resource processing. The multiple linear regression method is effective in providing an accurate estimation picture, and can be the basis for future decision-making.
Co-Authors Hetta Rachma Nurtriana Hidayati Saifur Rohman Cholil