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All Journal Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Riset Rumpun Ilmu Ekonomi (JURRIE) Journal of Digital Business and Innovation Management
Pambudi, Pandu Dwi Luhur
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics

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Information Security Awareness Analysis of the Threat of Data Leakage in Educational Institutions with the ISO 27001 Framework Muhammad Rijal, Demas; Assydiqi, Mukhamad Fahmi; Prasetya, Yoel Rensisko; Prasetya Ningsih, Lidya Nurhapsari; Putri Anindra, Nisya Kayla; Pambudi, Pandu Dwi Luhur
Journal of Digital Business and Innovation Management Vol. 3 No. 1 (2024): June 2024
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdbim.v3i1.59167

Abstract

In the rapidly evolving digital era, information security has become a major concern for various organizations, including educational institutions that are facing pressures such as "publish or perish" and performance metrics like VOS viewer. Serious threats such as cyber-attacks and data breaches require more advanced security solutions. Implementing an Information Security Management System (ISMS) based on ISO 27001 standards is crucial in safeguarding information assets. This research discusses the importance of information security awareness, identifies threats to data protection, and applies ISO 27001 standards in the context of educational institutions. The research methodology employs the PRISMA guideline to evaluate related reviews and meta-analyses systematically. Information security awareness, data protection, and ISO 27001 compliance focus on building a robust information security system within educational institutions facing performance and assessment demands.
Adaptive Fuel Subsidy Optimization Using Deep Q-Learning and Bandit-Based Policy Selection: A Simulation Study Pambudi, Pandu Dwi Luhur
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 2 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i2.13419

Abstract

Designing effective fuel subsidy policies is a major challenge for governments seeking to balance energy affordability, fiscal sustainability, and environmental goals. This study introduces an adaptive simulation framework combining Deep Q-Learning and a multi-armed bandit algorithm to model fuel consumption behavior and optimize subsidy distribution strategies. Moreover, this paper simulates a dual-agent system in which a DQN-based consumer interacts with a bandit driven government selecting among three subsidy policies: universal, quota-based, and targeted. By simulating consumer responses to universal, quota-based, and targeted subsidies over 1,000 episodes, the framework demonstrates how policy can adapt in real-time to maximize social welfare and reduce inefficient spending. Results show that while universal subsidies often deliver the highest consumer satisfaction, they incur significant fiscal costs, whereas quota and targeted approaches can yield more balanced trade-offs. The study highlights the potential of reinforcement learning to enhance adaptive policymaking in complex economic systems. To strengthen the analysis, the simulation tracks both consumer and government rewards across scenarios, capturing the trade-off between satisfaction and fiscal burden. Evaluation results reveal that targeted subsidies, though less popular, often provide more sustainable outcomes. The agent-based approach enables the system to dynamically adjust policy decisions based on real-time feedback, reflecting the evolving nature of economic behavior. These findings underscore the usefulness of AI-driven simulations as decision-support tools in designing responsive and cost-efficient public policies.
Analisis Pengaruh Likuiditas dan Profitabilitas terhadap Nilai Perusahaan Menggunakan Pendekatan Regresi Berganda : Studi Kasus pada PT Nippon Indosari Corpindo Tbk Periode 2017–2024 Asatibi, Ilham Sam Ayub; Apriadi, Deri; Pambudi, Pandu Dwi Luhur
Jurnal Riset Rumpun Ilmu Ekonomi Vol. 4 No. 2 (2025): Oktober: Jurnal Riset Rumpun Ilmu Ekonomi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrie.v4i2.6366

Abstract

This study investigates the impact of liquidity and profitability on firm value at PT Nippon Indosari Corpindo Tbk over the 2017–2024 period. Liquidity is measured using the Current Ratio, while profitability is represented by Return on Assets (ROA) and Return on Equity (ROE). Firm value is proxied by the Price to Book Value (PBV). A multiple linear regression model is employed, complemented by univariate and bivariate analyses to mitigate potential multicollinearity between ROA and ROE. The findings reveal that neither the Current Ratio nor ROA significantly affects PBV, with an R-squared value of 0.175 and an F-statistic of 0.5315 (p = 0.618). An alternative model incorporating ROE yields similar results. While the model satisfies the assumptions of residual normality (Jarque-Bera p = 0.654) and shows no indication of significant autocorrelation (Durbin-Watson = 1.458), its explanatory power remains limited. These results suggest that external factors—such as market sentiment and long-term growth expectations—may have a more substantial influence on firm value than internal financial indicators.
Co-Authors Asatibi, Ilham Sam Ayub Assydiqi, Mukhamad Fahmi Deri Apriadi Muhammad Rijal, Demas Mustaqim, Mujahidil Prasetya Ningsih, Lidya Nurhapsari Prasetya, Yoel Rensisko Putri Anindra, Nisya Kayla