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All Journal Journal of Humanities and Social Studies GEMA EKONOMI Majalah Ilmiah Warta Dharmawangsa Al-Kharaj: Journal of Islamic Economic and Business Journal Of Human And Education (JAHE) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Innovative and Creativity Maneggio Balance: Jurnal Ekonomi
Yatimin Yatimin
Fakultas Peternakan Universitas Jenderal Soedirman
Arts Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Journal of Innovative and Creativity

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Optimized Machine Learning Approaches for Predicting Work-Life Balance: An Indonesian Case Study Rosiana, Fitri; Yatimin, Yatimin
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

This study explores the application of optimized machine learning techniques to predict work-life balance determinants in Indonesia. Utilizing data from the World Happiness Report (2005-2023), the research implements multiple advanced algorithms including Ordinary Least Squares with Recursive Feature Elimination (OLS_RFE), Ridge Regression, Random Forest, Gradient Boosting, and Ensemble methods. The methodology incorporates comprehensive feature engineering, hyperparameter optimization, and cross-validation techniques to enhance predictive accuracy. The analysis reveals that OLS_RFE achieved perfect predictive performance (R² = 1.000, RMSE = 0.000), followed by Ridge Regression (R² = 0.947, RMSE = 0.007) and Ensemble methods (R² = 0.722, RMSE = 0.017). Feature importance analysis identified social support systems, workplace flexibility measures, and economic-social factor interactions as the most significant determinants of work-life balance. The optimized models demonstrated substantial improvement over conventional approaches, with the ensemble method providing balanced performance between accuracy and generalization. These findings offer valuable insights for policymakers and organizational leaders in developing evidence-based strategies to enhance workforce well-being. The research contributes to the literature by demonstrating the efficacy of machine learning optimization in social science research, particularly in the context of developing economies. The study establishes a robust framework for predicting work-life balance outcomes that can be adapted to other socio-cultural contexts
Indonesia's Digital Access Disparities: A Comparative Study of World Bank Data and ASEAN Regional Trends Aini, Eka Nur; Yatimin, Yatimin
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.4998

Abstract

Indonesia's digital transformation faces a unique paradox amid the wave of the 4.0 industrial revolution, where the acceleration of technology adoption has the potential to deepen existing social inequalities. This research was born out of the urgency to understand the dynamics of digital access disparities, which not only have an impact on economic aspects but also affect the equality of community participation in the national digital ecosystem. The objective of this study is to map the evolution of Indonesia's digital divide during the period 2010-2023 while analysing its competitive position in the ASEAN regional context. The method applied integrates a quantitative approach through secondary data analysis from the World Bank and ILO, processed using the Google Colab platform, complemented by interactive visualizations to explore hidden patterns and trends. Research findings reveal a complex story behind Indonesia's optimism about digital transformation. On the one hand, internet user growth shows significant progress at a rate of 11.8% per year, but on the other hand, the digital literacy gap remains at 11.2%. Indonesia's position in fifth place in the ASEAN digital divide map indicates the need for a more focused strategy to catch up with neighbouring countries such as Malaysia and Singapore. Projections of the gap until 2028 show that without appropriate policy intervention, this disparity has the potential to affect national competitiveness in the long term. For future research, it is necessary to expand the scope of analysis to the regional level and integrate qualitative data to understand the deeper root causes of the problem, so that more targeted and contextual policy recommendations can be formulated.
Co-Authors Adi Musharianto Aini, Eka Nur Andi Fitriani Djollong Arief Fahmi Lubis Artha, Tatum Batjo, Sitti Nurjana Degdo Suprayitno Devina Reswandari Dhewy, Veronica Soerya Ermalina, Ermalina Fitri Yanti WulanDini Harahap, Subur Hendra Hendra Imam Al Falah Indri Wahyuni Jonathan Marcel Pasuan Kartik, Syaharani Balqis Khaerunnisa, Zahra Nadiyah Kinanti Aulia Suhendra Laila Anum Mariano Sengkoen Maryama, Maryama Musharianto, Adi Nainggolan, Elisabeth Redjeki, Finny Rosiana, Fitri Ryryn Suryaman Prana Putra Sabrina, Zahra Salis Santoso, Pendi Sidik, Riyandi Sinaga, Hommy Dorthy Ellyany Sinaga, Kariaman Siti Aminah Sulaiman, Suhendar Sunarto Sunarto Triana Setyawardani Yani, Indah Fitri Yanti Budiasih Zahwa Audria Sakinah Abidin