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All Journal SENTRI: Jurnal Riset Ilmiah Journal Research of Social Science, Economics, and Management
Amin, Nurul Nisa’a
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Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice

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Feature Selection pada Indikator Indeks Ekonomi Hijau di Indonesia dengan Machine Learning Leviany, Fonda; Fitriana, Ika Nur Laily; Amin, Nurul Nisa’a
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 9 (2025): SENTRI : Jurnal Riset Ilmiah, September 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i9.4615

Abstract

Green economy policies are crucial for all countries to ensure that economic activities progress while preserving environmental sustainability. The success of such policies is measured by the Green Economy Index, which in 2020 recorded a national score of 59.17 with 15 indicators, while provincial-level indicators are still being developed. This study analyzes 18 provincial indicators to identify the main factors influencing the Green Economy Index using LASSO regression. This method was chosen for its ability to efficiently perform feature selection, address multicollinearity, and reduce overfitting risks. The dataset includes 18 indicators and index values from 34 provinces. The results show that 15 indicators significantly affect the index. The developed model demonstrates good performance with an RMSE of 1.23 for the training set and 2.29 for the testing set. The R² values of 95.6% (training) and 85.98% (testing) indicate strong predictive capability. Moreover, surface water quality is identified as the most influential indicator. These findings are expected to support data-driven policymaking in strengthening the green economy at the provincial level.
Analysis of Factors Affecting Rice Farmers' Decisions in Choosing Pesticides (Case Study in Bantimurung Subdistrict, Maros Regency) Amin, Nurul Nisa’a
Journal Research of Social Science, Economics, and Management Vol. 5 No. 8 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i8.1373

Abstract

Pesticides are essential agricultural inputs used to control pests and diseases in rice cultivation. However, improper selection and use of pesticides can lead to pest resistance, environmental pollution, and adverse effects on human health. Therefore, understanding the factors influencing farmers’ decisions in choosing pesticides is crucial to promoting effective usage and sustainable agricultural practices. This study aims to identify and analyze the factors that influence rice farmers’ decisions in selecting pesticides in Bantimurung District, Maros Regency. The research employed a quantitative survey method by distributing questionnaires to 50 rice farmers who actively use pesticides. The independent variables examined were age, education level, farming experience, income, and land area. Data were analyzed using multiple linear regression to determine the influence of these variables on farmers’ pesticide selection decisions. The findings indicate that education, farming experience, income, and land area significantly influence rice farmers’ decisions in purchasing pesticides, while age does not have a significant effect on the decision-making process. Farmers’ socio-economic and farming-related characteristics play an important role in pesticide selection decisions. Strengthening farmers’ education and improving economic capacity may contribute to more rational and sustainable pesticide use in rice farming.
Co-Authors Fitriana, Ika Nur Laily Leviany, Fonda