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All Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) GREENOMIKA Jurnal Pengabdian Masyarakat Bhinneka Review of Accounting and Business Multidisciplinary Journal of Education, Economic and Culture Jurnal Pengabdian Masyarakat dan Riset Pendidikan In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Moneta : Journal of Economics and Finance Asian Journal of Environmental Research
Aulia, Azwani
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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A Data Driven Information System for Cybersecurity Vulnerability Management Aini, Qurotul; Rizky, Agung; Rusdian, Suca; Aulia, Azwani; Erica, Archa
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/f3yjz324

Abstract

The rapid growth of digital infrastructures has amplified cybersecurity vulnerabilities, challenging organizations to manage risks effectively. Traditional vulnerability assessment methods, such as static scoring systems, often overlook dynamic threat information, leading to suboptimal prioritization. This study addresses the gap in existing vulnerability management approaches by introducing a data-driven framework that combines internal system data, public vulnerability databases, and external threat intelligence using predictive analytics. The proposed decision support information system employs machine learning as an analytical component to estimate the likelihood of vulnerability exploitation and support vulnerability prioritization decisions. The novelty of this approach lies in its ability to prioritize vulnerabilities not only based on technical severity but also considering the context of real-world threat activity. When benchmarked against conventional methods, this approach demonstrates superior performance in identifying exploitable vulnerabilities, improving accuracy and recall, thus optimizing resource allocation. By adopting a proactive, risk-based strategy, the framework prioritizes the most critical vulnerabilities in complex IT environments. The results highlight the potential of predictive models in enhancing cybersecurity management and supporting sustainable infrastructure, driving a shift toward more efficient, data-driven decision-making.  
Dynamics and Effectiveness of Regional Own-Source Revenue: A Comparative Study of West Java and Central Java Before and During the COVID-19 Pandemic Dermawan, Indra Setia; Aulia, Azwani; Saputri, Eka Julianti Efris
Multidisciplinary Journal of Education , Economic and Culture Vol. 4 No. 1 (2026): March 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/h1f6qq71

Abstract

This study analyzes the dynamics, composition, and effectiveness of regional own-source revenue in the provincial governments of West Java and Central Java before and during the COVID-19 pandemic. A qualitative descriptive approach with a comparative case study design was employed using secondary data derived from regional government financial statements, regional budget documents, and official government publications for the years 2019 and 2020. The findings indicate that local taxes constitute the primary source of revenue in both provinces, followed by income from separated regional assets, other legitimate revenues, and regional service charges. The COVID-19 pandemic did not alter the fundamental revenue structure but significantly reduced revenue realization, particularly in components closely linked to economic activity. Furthermore, the effectiveness ratio of revenue collection declined during the pandemic, especially in West Java.
The Influence of Return on Assets and Earnings Per Share on Stock Prices in IDX High Dividend 20 Companies for the 2022-2024 Period Suri, Dhiya Septi Wulan; Aulia, Azwani; Taufik, Haviz
Multidisciplinary Journal of Education , Economic and Culture Vol. 4 No. 1 (2026): March 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/h9y34q40

Abstract

This study examines how Return on Assets (ROA) and Earnings Per Share (EPS) influence stock prices, focusing specifically on companies included in the IDX High Dividend 20 index during the 2022–2024 period. The analysis uses secondary data obtained from financial statements and stock price records, which are processed using panel data regression. Model selection was carried out through the Chow, Hausman, and Lagrange Multiplier tests, resulting in the Common Effect Model (CEM) as the most appropriate approach. To enhance the robustness of the estimates, White period standard errors were applied. The results reveal an interesting pattern: ROA shows a negative and significant relationship with stock prices, while EPS has a positive and significant effect. When examined simultaneously, both variables contribute meaningfully to explaining stock price variation. These findings suggest that, within high-dividend companies, investors tend to place greater emphasis on earnings per share rather than asset-based profitability when making investment decisions
Co-Authors Aditya Pradana, Aditya Anike Putri, Anike Apriyandi, Rian Fitra Arjun, M Avianti, Ilya Bimo, Antonius Citra Sukmadilaga Dermawan, Indra Setia Dianty, Astari Dillak, Vaya Dini Rosdini Eka Julianti Efris Saputri Eko Purwanto Elok Faiqoh Himmah Erica, Archa Evrina Fery Purnama, Fery Ghani, Erlane K. Hartati, Bella Haviz Taufik Jisika Lestari, Adria Wuri Lestari, Putri Gantine Liona Efrina S Luntungan, Antonius Bimo Rentor Maryatni, Eka Meila, Kaca Dian N. Heriyah Primadiva, Parassela Pangestu Qurotul Aini Rizky, Agung Siahaan, Magda Siregar, Johannes Kristian Suca Rusdian Suri, Dhiya Septi Wulan Turang, Febby Vera Amalia Yamalia, Ikke