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All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JPM: JURNAL PENGABDIAN MASYARAKAT Instal : Jurnal Komputer Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA) Jurnal Manajemen Sistem Informasi Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Journal of Electrical Engineering Research Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Rizal, Chairul
Universitas Pembangunan Panca Budi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Interactive Museum Innovation with Digital Technology to Enhance Education and Preserve Cultural Heritage in Indonesia Rizal, Chairul; Erni Marlina Saari
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.17

Abstract

Museums play an important role in preserving cultural heritage and educating the public. However, the changing behavior of the younger generation, who are more interested in digital media, has led to a further decline in visits to traditional museums. This research aims to design a digital technology-based interactive museum prototype as an effort to enhance education and cultural preservation in Indonesia. This research method uses a Research and Development (R&D) approach, which includes the stages of needs analysis, system design, prototype development, and user testing. The research instruments include the System Usability Scale (SUS) and semi-structured interviews with 30 respondents. The research findings indicate that the interactive museum prototype achieved an average SUS score of 75.6, placing it in the excellent category, and received positive feedback regarding increased visitor engagement in understanding cultural collections. This research contributes to the development of a digital museum model that meets the needs of Indonesian society.
Application of Machine Learning in Computer Hardware Failure Detection Systems on Local Area Networks Irwan, Irwan; Supiyandi, Supiyandi; Rizal, Chairul
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.71

Abstract

This study explores the application of machine learning (ML) techniques in detecting hardware failures in Local Area Networks (LANs). As networks become increasingly complex, the ability to predict and address hardware issues before they lead to system failures is crucial for maintaining network reliability and performance. The research investigates several machine learning algorithms, including supervised and unsupervised models, to analyze network data and identify early signs of potential hardware malfunctions. The study emphasizes the use of features such as network traffic patterns, hardware performance metrics, and error logs to train models capable of detecting anomalies and predicting failures. The effectiveness of these models is evaluated based on their accuracy, precision, and recall in identifying hardware failures. The findings aim to contribute to the development of more efficient and proactive failure detection systems that can enhance network uptime and reduce the costs associated with unexpected hardware downtimes.
Co-Authors AA Sudharmawan, AA Abdul Karim Armasari, Selly Barany Fachri Chatarina Umbul Wahyuni Dedi Purwanto, Dedi Deni Apriadi Eka Putra Eka, Muhammad Eka, Muhammad Eko Hariyanto Elisa Erni Marlina Saari Fachri, Barany Fakhruddin Nasution, Akhmad Harahap, Charles Bronson HARDIANTO - Haris Al-Muridhillah, Sultan Haryadi, Patrialman Hendry Hendry . Heri Kurniawan, Heri Hermansyah Hermansyah Irwan Irwan Irwan Khairunnisa Khairunnisa Kurniawan, Oktavian Putra Leni Marlina LINDA WAHYUNI Listya Ningtiyas, Hastanti Maria Stefanova Br Manik, Icha Mochammad Imron Awalludin Muhammad Amin Muhammad Eka Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Noor Hasan Siregar Muhammad Syahputra Novelan Muhammad Zen, Muhammad Muslem R, Imam Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Nuranisah Nuranisah Pasaribu, Saddam Husen Romadon Rahmayani, Putri Ricky Ramadhan Harahap Rika Rosnelly, Rika Rismayanti Rismayanti Saidi Ramadan Siregar Sanjaya, Dian Sari, Rita Novi Siregar, Habibie Fahlevy Sitha, Nur Syifa'u Siti Khodijah Subhan Subhan Suherman, Endang Supiyandi Supiyandi Syamsiar, Syamsiar Tambunan, M. Johan Pratama Tirta, Deazei Wahyuni, Linda Wirayuda, Satria Yusma, Yanti Yusuf Ramadhan Nasution Zhafira, Raihan Novalda Ziky, Ziky Zulham Zulham