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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE)
Eogenie Lakilaki
National Library of The Republic of Indonesia, Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Combining Generative AI and Scheduling Algorithms for Personalized Learning Powered by TELISIK Artamananda Artamananda; Eogenie Lakilaki; Syakillah Nachwa; Muhammad Gilang Ramadhan; Amaliah Sobli; Annisa Fatihah Salsabila; Bagus Ramadhan
Journal of Information System Research (JOSH) Vol 7 No 4 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i4.10356

Abstract

The increasing competitiveness of the Computer Based Written Examination for National Selection Based on Test (UTBK-SNBT) necessitates adaptive and sustainable learning support. This study proposes a web based intelligent learning platform that integrates Artificial Intelligence (AI) to facilitate examination preparation through Automatic Question Generation (AQG), an AI Tutor, automated solution generation, and a scheduler driven question generation mechanism. The platform adopts a client server architecture and employs a Large Language Model (LLM) to generate examination questions tailored to the characteristics of each UTBK-SNBT subtest. The system was evaluated from two perspectives: the learning performance of 30 students across seven UTBK-SNBT subtests and the quality of 1.663 AI generated questions using a Jaccard Similarity based deduplication approach. The results demonstrate that the proposed platform provides continuous and personalised practice beyond conventional static question banks. Acceptable question generation rates reached 96.3% for Quantitative Knowledge, 92.9% for Mathematical Reasoning, and 91.4% for General Knowledge and Comprehension, whereas reading-intensive subtests exhibited higher duplication rates due to the limitations of lexical similarity measurement. Overall, the findings confirm the feasibility of the proposed platform as an intelligent and scalable solution for UTBK-SNBT preparation, while highlighting semantic similarity techniques as a promising direction for improving the quality of text-based question generation.
Labour Underutilisation in the BRICS-4: Do Exchange Rates and Foreign Direct Investment Matter? Tri Wahyuni; Eogenie Lakilaki; Panca Wijaya; Anisha Anisha
Journal of Business and Economics Research (JBE) Vol 7 No 1 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v7i1.9151

Abstract

This study aims to examine unemployment dynamics in BRICS-4 countries (Brazil, India, China, and Indonesia), with a particular emphasis on the effects of foreign direct investment and exchange rates within the framework of sustainable development. The primary issue addressed is the persistently high level of unemployment despite positive trends in economic growth and foreign investment inflows. A quantitative approach is employed using panel data analysis covering the period 2009–2023, in which all variables are transformed into natural logarithmic form to stabilise data variance. Model selection is conducted through the Chow, Hausman, and Lagrange Multiplier tests, which indicate that the Fixed Effects model represents the most appropriate estimation technique. The analysis encompasses classical assumption testing, partial and simultaneous significance tests, as well as the coefficient of determination. The novelty of this study lies in its cross-country integration of unemployment, foreign direct investment, and exchange rate variables within a sustainable development perspective. The empirical results demonstrate that foreign direct investment exerts a negative and statistically significant effect on unemployment, with a coefficient value of −0.12 and a probability value of 0.02, while the exchange rate exhibits a positive effect of 0.06 but remains statistically insignificant, as reflected by a probability value of 0.49. These findings underscore the critical role of foreign investment in employment generation and suggest that the influence of exchange rates is indirect and contingent upon the structural characteristics of individual countries.
Solvency vs Information Asymmetry vs Intellectual Capital: Who Wins in Earnings Manufacturing Management? Eogenie Lakilaki; Tri Wahyuni; Muhammad Andrian Irsa; Khoirur Rijal
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 7 No 4 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v7i4.9700

Abstract

This study addresses the research problem of inconsistent empirical findings regarding the determinants of earnings management, particularly the roles of information asymmetry, intellectual capital, and leverage in Indonesian manufacturing firms. Despite extensive prior research, limited consensus exists on how these factors simultaneously influence managerial discretion in financial reporting. This study aims to examine the interplay among these variables in shaping earnings management practices. Adopting a quantitative design, this study utilises balanced panel data from manufacturing companies listed on the Indonesia Stock Exchange over the period 2015–2024. The analysis employs a Fixed Effects Model, selected through Chow and Hausman tests, to control for unobserved heterogeneity across firms. The findings indicate that information asymmetry has a statistically significant negative effect on earnings management, suggesting that improved transparency constrains opportunistic reporting behavior, while intellectual capital and leverage exhibit statistically significant positive effects, indicating that firms with greater intangible resources and higher financial pressure are more likely to engage in earnings management practices. Overall, this study provides stronger empirical support that earnings management is shaped by informational conditions, firm capabilities, and financial constraints, offering important implications for strengthening corporate governance and enhancing the reliability of financial reporting in emerging markets.
Co-Authors Amaliah Sobli Anisha Anisha Annisa Fatihah Salsabila Artamananda Artamananda Bagus Ramadhan Khoirur Rijal Muhammad Andrian Irsa Muhammad Gilang Ramadhan Panca Wijaya Syakillah Nachwa Tri Wahyuni Tri Wahyuni