Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Educational Researcher Journal
Sri Wahyuni, Neng Ayu
Unknown Affiliation
Religion Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Transformation of HR Management by Artificial Intelligence: A Study on PT Cisarua Mountain Dairy Sri Wahyuni, Neng Ayu; Agung, Syahrum; Syahdiany, Geny
Educational Researcher Journal Vol. 3 No. 1 (2026): Educational Researcher Journal
Publisher : Sekolah Pascasarjana Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71288/educationalresearcherjournal.v3i1.134

Abstract

This study examines the role of Artificial Intelligence (AI) as a catalyst in the transformation of the strategic function of Human Resource Management (HRM) at PT Cisarua Mountain Dairy, an entity in the Fast-Moving Consumer Goods (FMCG) industry. The research background moves from the imperative of digital transformation that drives the evolution of MSDM from a conventional administrative model to a data-driven and predictive paradigm. Using a qualitative approach and instrumental case study design, this study explores the implementation dimensions, operational-strategic impacts, and complexity of challenges in the adoption of AI technology in the HR domain. Data collection was conducted through triangulation of methods, including semi-structured interviews with key informants (HR management, recruitment practitioners, and technologists), non-participant observations, as well as analysis of policy documents and internal digital artifacts. The research findings identify two main domains of AI adoption: (1) optimization of the talent acquisition process through algorithm-based screening and candidate matching systems, and (2) the development of people analytics systems for predictive modeling related to employee retention and development planning. The implementation has an impact on improving process efficiency, reducing bias in selection, and more precise analytical capacity. However, this study also reveals the existence of a significant implementation gap, which is represented by challenges in the form of organizational cultural resistance to automation, digital literacy gap, and ethical dilemmas around data privacy, algorithmic transparency), and accountability of decision-making by machines. This study makes a conceptual contribution by offering a contextual perspective on the transformation of digital HR in a large-scale national enterprise environment, as well as practical implications for the formulation of smart technology integration roadmaps and policies in talent management practices
The Effect of Capital Structure (Debt to Equity Ratio and Debt to Asset Ratio) on Profitability (Return on Asset) of Manufacturing Companies in the Consumer Goods Sub-Sector Listed on the IDX During the COVID-19 Pandemic Hanifan, Zakie; Agung, Syahrum; Sri Wahyuni, Neng Ayu
Educational Researcher Journal Vol. 2 No. 2 (2025): Educational Researcher Journal
Publisher : Sekolah Pascasarjana Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71288/educationalresearcherjournal.v2i2.145

Abstract

This study aims to analyze the influence of capital structure proxied with Debt to Equity Ratio (DER) and Debt to Asset Ratio (DAR) on profitability proxied by Return on Asset (ROA) in manufacturing companies in the consumer goods sub-sector listed on the Indonesia Stock Exchange (IDX) during the COVID-19 pandemic period 2020-2021. The research method used is quantitative causality with secondary data in the form of annual financial statements. The research population is all manufacturing companies in the consumer goods sub-sector on the IDX. The sample was determined using purposive sampling techniques with the criteria of registered companies during 2020-2021, issuing complete financial statements, and not delisting, so that 45 companies were obtained with a total of 90 observations. Data analysis techniques include descriptive statistics, classical assumption tests (normality, multicollinearity, heteroscedasticity, autocorrelation), multiple linear regression analysis (OLS), t-test, F test, and determination coefficient (R²). The results showed that partially, DER had a significant negative effect on ROA with a t-count value of -2.845 (sig. 0.006) and DAR had a significant negative effect on ROA with a t-count value of -2.103 (sig. 0.039). Simultaneously, DER and DAR together had a significant effect on ROA with an F-count value of 5.876 (sig. 0.004). A coefficient of determination (R²) value of 0.174 indicates that 17.4% of ROA variations can be explained by DER and DAR, while the remaining 82.6% are explained by other variables outside the model. These findings confirm that during the COVID-19 pandemic, increased debt will decrease the company's profitability, so management needs to be careful in making funding decisions in times of crisis.
The Effect of Dividend Payout Ratio (DPR) and Dividend Yield on Investors' Perception of Company Profitability (A Case Study of Banking Companies Listed on the Indonesia Stock Exchange for the 2020–2024 Period) Hanifan, Zakie; Sri Wahyuni, Neng Ayu; Agung, Syahrum
Educational Researcher Journal Vol. 2 No. 1 (2025): Educational Researcher Journal
Publisher : Sekolah Pascasarjana Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71288/educationalresearcherjournal.v2i1.148

Abstract

This study aims to examine the effect of the Dividend Payout Ratio (DPR) and Dividend Yield on investor perceptions of the profitability of banking companies listed on the Indonesia Stock Exchange for the 2020-2024 period. Dividend policy is a crucial financial decision that reflects the allocation of profits between dividend payments and retained earnings. There is a theoretical controversy between dividend relevance (Gordon-Lintner) and dividend irrelevance (Modigliani-Miller), as well as inconsistent empirical findings regarding the direction of the influence of DPR and DY, which constitute a gap in this research. This study employed a quantitative approach with a causality design and panel data (pooled time-series cross-sectional). The sample was selected using a purposive sampling method based on the following criteria: banking companies listed on the Indonesia Stock Exchange (IDX) throughout 2020-2024, published complete financial reports, consistently distributed dividends, and had complete data available for variable calculations. Data were analyzed using panel data regression with the help of EViews, through the stages of classical assumption testing, model selection (Chow Test, Hausman Test, LM Test), and hypothesis testing (t-test, F-test, coefficient of determination). Investor perception was proxied by Price-to-Book Value (PBV). The results show that DPR has a positive and significant effect on PBV (coefficient 0.028; p=0.001), thus H1 is accepted. Conversely, Dividend Yield has a negative and significant effect on PBV (coefficient -0.185; p=0.003), thus H2 is accepted. These findings confirm signaling theory in emerging markets and indicate that Indonesian banking investors value long-term growth prospects more than short-term dividend yields. This research contributes to the development of dividend policy theory and provides practical implications for banking management in formulating optimal dividend policies by considering domestic investor preferences.
Co-Authors Hanifan, Zakie Syahdiany, Geny Syahrum Agung