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All Journal REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Indonesia Berdaya International Journal of Community Service Jurnal Sistem Informasi Bisnis (JUNSIBI) Jurnal Pengabdian Teratai Jurnal Abdimas: Sosial, Bisnis, dan Lingkungan Data : Journal of Information Systems and Management
cahya, waskita
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Data : Journal of Information Systems and Management

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Bridging the Gap Between Policy and Practice: Evaluating Indonesia’s Cybersecurity Regulatory Framework (2020–2023) Alfath, Tahegga Primananda; Cahya, Waskita
Data : Journal of Information Systems and Management Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i1.695

Abstract

Indonesia's rapid digital transformation has heightened its exposure to cybersecurity threats, prompting the introduction of several national policies aimed at enhancing cyber resilience. This study evaluates the effectiveness of three key regulations—Peraturan BSSN No.8/2020, Perpres 82/2022, and Perpres 47/2023—through a qualitative policy analysis framework. Data were drawn from national cyber incident statistics, regulatory documents, and secondary literature. Methodologically, the study applies qualitative frameworks and correlates policy timelines with cyber incident volumes between 2020 and 2023. Statistical tools, including time-series and regression analyses, are used to determine regulatory impacts on threat reduction. Findings reveal that while the regulations establish a strong structural foundation, implementation remains weak. Cyber incidents continued to rise post-regulation, and key challenges such as agency fragmentation, underinvestment (0.02% of GDP), and limited stakeholder collaboration persist. Case studies, including breaches at Dukcapil and Imigrasi, underscore the urgent need for better enforcement and inter-agency coordination. Comparative analysis with regional peers like Singapore highlights further room for improvement in governance and public-private synergy. The study concludes that Indonesia’s cybersecurity policies are directionally sound but require systemic reforms, centralized coordination, and investment scaling to achieve tangible outcomes. These insights contribute to the literature on regulatory effectiveness and cyber governance in emerging economies
The Strategic Role of AI in Enhancing MIS Performance and Innovation Setiawan, Adi Wahyu; Cahya, Waskita
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.723

Abstract

The integration of Artificial Intelligence (AI) into Management Information Systems (MIS) has reshaped organizational operations across sectors. This narrative review explores the multidimensional impact of AI on MIS by synthesizing findings from recent peer-reviewed literature. The study aimed to analyze how AI technologies enhance MIS functions, focusing on areas such as process automation, decision support, HR management, corporate learning systems, and export-oriented quality control. Literature was sourced from databases like Scopus and Google Scholar using Boolean search techniques with targeted keywords. Inclusion criteria emphasized relevance, recency, and methodological rigor. Findings indicate that AI and Robotic Process Automation (RPA) optimize operational efficiency, while AI-enhanced decision-making tools offer strategic foresight across industries. In HRMIS, AI facilitates recruitment, performance appraisal, and diversity outcomes, whereas AI-driven learning platforms improve training efficiency and employee engagement. The implementation of AI in quality control and export readiness is linked to higher compliance, predictive analytics, and competitiveness. However, challenges such as algorithmic bias, data inconsistencies, and limited transparency underscore the need for systemic readiness. Theoretical frameworks including the TOE model and RBV elucidate how internal capabilities and environmental contexts shape AI integration. The study concludes that national policies, ethical design, infrastructure development, and cross-sector collaboration are essential for maximizing AI’s potential in MIS, paving the way for responsible and inclusive digital transformation.
Co-Authors Achmad Fauzi Akbar, Astried Silvani Angelia, Filda Ardianto, Erdhiek ARI KURNIAWAN Arista, Amanda Astried Silvanie Baskoro , B Harjo Baskoro, Benecditus Harjo Boy Firmansyah Devi Puspita Sari, Devi Puspita Dwi Anugrah, Muhammad Wendy Dwi H, Ghanistantiono Febriansyah, M. Febriansyah, Muhammad Filda Angellia H, Ghanistantiono Dwi H., Ghanistantiono Dwi Hariyansah, Ilham Hidayat, Syamsu Hilman Jihadi, Hilman Jaya, Rahmat Junias Robert Gultom Louis, Paulu Joshua Machfuudztry, Sabrina Maulana, Niko Natalia Evianti Nur, Andri Priawijaya Nuraini Purwandari Prasetya, Yuli Rahman, Adityo Rifiyanti, Hafiza Rifiyanti, Hafizah Rizki Ramadhan Rony, Zahara Tussoleha Sanusi, Ichwan Setiawan, Adi Wahyu Sidik Permana, Dwi Silvanie, Astrid Sugiarti, Hanifah Tahegga Primananda Alfath Taruna Nasution, Taruna