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All Journal Electro Luceat MIND (Multimedia Artificial Intelligent Networking Database) Journal Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Elektra JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) BEMAS: Jurnal Bermasyarakat Technologic Academic Journal of Computer Science Research (AJCSR) Indonesian Community Journal Jurnal Komtekinfo Jurnal Ilmiah Edutic : Pendidikan dan Informatika Proceeding International Pelita Bangsa The Eastasouth Journal of Information System and Computer Science Prosiding Seminar Nasional Unimus Journal of Information System & Business Management (ISBM) TECHNOLOGIC Jurnal Inkofar
Simarangkir, Manase Sahat H
Politeknik Meta Industri Cikarang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Other

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An Integrated Web-Based Monitoring System For Optimizing The Supervision Of Student Internships And Final Projects Ilyas Ruhiyat; Nita Winda Sari; Adie Kusna Wibowo; Santo Wijaya; Manase Sahat H Simarangkir
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background : The implementation of Field Work (PKL)/Internships and Final Projects is an important part of the academic process at universities, requiring ongoing monitoring by academic advisors and academic programs. However, at many universities, the monitoring of these two activities is still conducted through separate platforms, resulting in inefficient data management, disjointed information, and difficulties in comprehensively tracking student progress Purpose : This research aims to develop and implement a web-based monitoring platform that integrates the supervision processes for PKL/Internships and Final Projects into a single system, so that all data, advising activities, progress, and academic documents can be managed centrally Methodology : The system was developed using the Waterfall method, which includes requirements analysis, design, implementation, testing, and maintenance, utilizing the Laravel framework, the PHP programming language, and a MySQL database Findings : System validation was performed through Black Box Testing on 10 test scenarios. Test results showed a 100% success rate for system functionality, meaning all key features operate as intended to meet user needs Implications : The integration of the monitoring processes for internships and final projects into a single platform is the primary contribution of this research, as it enables unified progress monitoring, reduces data management duplication, and provides consistent academic information for all stakeholders. Originality : The system’s implementation offers benefits such as improved efficiency in the monitoring process, ease of tracking student progress in real time, accelerated academic administration, and the provision of more accurate information as a basis for evaluation and decision-making.
Improving Cybersecurity Resilience in Indonesian Cloud Infrastructures Through AI‑Based Threat Intelligence Manase Sahat H Simarangkir
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 02 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i02.861

Abstract

The rapid expansion of cloud computing adoption in Indonesia has significantly increased organizational exposure to cyber threats, making cybersecurity resilience a critical strategic priority. This study examines the role of Artificial Intelligence (AI)-based threat intelligence in enhancing cybersecurity resilience within Indonesian cloud infrastructure. Using a quantitative research design, data were collected from 155 respondents consisting of IT managers, cloud engineers, and cybersecurity practitioners through a structured Likert-scale questionnaire. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that AI-based threat intelligence has a significant positive effect on threat detection accuracy and response effectiveness. Both threat detection accuracy and response effectiveness also have significant positive effects on cybersecurity resilience. Furthermore, AI-based threat intelligence directly strengthens cybersecurity resilience and indirectly enhances it through the mediation of threat detection accuracy and response effectiveness. These findings confirm that AI-driven cybersecurity systems play a strategic role in improving adaptive defense capabilities, accelerating incident response, and strengthening organizational resilience in cloud environments. This study provides important implications for policymakers, cloud service providers, and organizations in designing intelligent cybersecurity frameworks to support Indonesia’s sustainable digital transformation.
ANALYSIS OF CRITICAL SUCCESS FACTORS FOR INDUSTRY 4.0 ADOPTION IN MANUFACTURING INDUSTRY: A SYSTEMATIC LITERATURE REVIEW USING PRISMA 2020 Aji Pamungkas; Gustam Efendi; Manase Sahat H Simarangkir; Rita Purnamasari
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Industry 4.0 adoption has become a key strategy for manufacturing industries to enhance competitiveness. However, itsimplementation faces various challenges. This study aims to identify and analyze the Critical Success Factors (CSFs) forIndustry 4.0 adoption in the manufacturing sector using a Systematic Literature Review based on PRISMA 2020. Data werecollected from 10 international and national journal articles indexed by Scopus and SINTA from 2018 to 2022. The synthesisrevealed 8 main CSFs: top management support, implementation strategy, technological infrastructure, competent humanresources, organizational culture, collaboration, cybersecurity, and government policy. Studies by Lestari et al. (2020) andWibowo et al. (2022) confirm that the readiness of Indonesian SMEs is a determining factor. This study provides an applicableCSF framework for manufacturing managers to plan their Industry 4.0 adoption roadmap. The limitation of this study lies inthe year range and the focus on the manufacturing sector
Co-Authors , M. Siddik Erdi W A. Yudi Permana A. Yudi Permana Abdul Ghofir Abdullah Rizky Alfatih Adam Puspabhuana Adie Kusna Wibowo agung Suryanto Aji Pamungkas Andhika Arnes Yuli Vandika Bei Harira Irawan Bei Harira Irawan Cahyadi, Cepi Cantika Nur P Cepi Cahyadi Cepi Cahyadi Deddy Prihadi Erlinna Erlinna Fadil Abdullah Faiz Irsyad Prasetyo Faiz Muqorrir Kaaffah Gustam Efendi Ilyas Ruhiyat Jaelani, Rusani Jeckson Sidabutar Mohammad Bintang Saputra Nadiya Maharani Neil Royan Nita Winda Sari Nita Winda Sari Rita Purnamasari Rizdam Firly Muzakki Safarudin, Muhamad Sigid Santo Wijaya Setiady, Wahyu Suryadi, Dikky Teddy Andriansyah Wardhani, Diky Zy, Ahmad Turmudi