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All Journal Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Greenation International Journal of Tourism and Management
Hartini
Universitas Patompo, Makassar, Indonesia
Humanities Economics, Econometrics & Finance

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Determination Employee Performance and Job Satisfaction: Study Literature Review Hartini; Josua Panatap Soehaditama; Suhartini; Dewi Ulfah Arini; Agus Suhendra
Greenation International Journal of Tourism and Management Vol. 2 No. 3 (2024): (GIJTM) Greenation International Journal of Tourism and Management (September -
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijtm.v2i3.265

Abstract

The purpose of this literature research is expected to build hypotheses regarding the influence between variables which can later be used for further research in the scope of human resource management. The literature review research article determining employee performance and job satisfaction is a scientific literature article within the scope of human resource management science. The approach used in this literature review research is descriptive qualitative. The data collection technique is to use literature studies or review relevant previous articles. The data used in this descriptive qualitative approach comes from previous research that is relevant to this research and comes from academic online media such as Thomson Reuters Journals, Springer, Taylor & Francis, Scopus Emerald, Elsevier, Sage, Web of Science, Sinta Journals, DOAJ, EBSCO, Google Scholar and digital reference books. In previous studies, 1 relevant previous article was used to review each independent variable. The results of this literature review article are: 1) Delegation Leadership affects Job Satisfaction; 2) Remuneration affects Job Satisfaction; 3) Self-efficacy affects Job Satisfaction; 4) Delegated Leadership affects Employee Performance; 5) Remuneration affects Employee Performance; 6) Self-efficacy affects Employee Performance; 7) Job Satisfaction affects Employee Performance.
Reinforcement Learning for Portfolio Optimization: Evidence from the Indonesian Stock Market Rachmawaty; Rahmawati; Hartini; Andi Aris Mattunruang
Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Vol. 13 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jreksa.v13i1.14579

Abstract

Stock portfolio management in emerging markets such as Indonesia remains challenging due to high volatility, market inefficiencies, and the strong presence of retail investors. In this setting, conventional approaches, including buy-and-hold strategies, the Markowitz framework, and the Capital Asset Pricing Model (CAPM), often struggle to perform consistently under rapidly changing market conditions. While reinforcement learning (RL) has gained increasing traction in global finance, its application in the Indonesian stock market remains limited. This study examines the effectiveness of an RL-based approach, specifically the Deep Q-Network (DQN) algorithm, in optimizing stock portfolios on the Indonesia Stock Exchange (IDX). Using a quantitative experimental design, the analysis is based on back-testing simulations of IDX30 stocks over the 2022–2024 period, with samples selected purposively based on liquidity and market capitalization. The findings show that the DQN-based strategy consistently outperforms conventional methods, delivering higher returns, improved risk–return efficiency, and better control of downside risk. These results suggest that RL models are better suited to adapt to dynamic market conditions. Theoretically, this study extends portfolio optimization literature by incorporating adaptive, learning-based models into emerging market contexts. Practically, it offers evidence for investors and practitioners to consider AI-driven strategies as a more responsive alternative to traditional approaches in a volatile market.
Co-Authors Agus Suhendra Andi Aris Mattunruang Dewi Ulfah Arini Josua Panatap Soehaditama Rachmawaty Rahmawati Suhartini