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All Journal Jurnal Simetris Telematika Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Informasi dan Teknologi Respati Journal Computer Science and Informatic Systems : J-Cosys Journal of Computer Science and Technology (JCS-TECH) Journal of Information System, Technology and Engineering JI-Tech Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Widya Dharma Journal of Tecnologia Quantica Global Science: Journal of Information Technology and Computer Science Jurnal Pengabdian Masyarakat Indonesia
Agustinus Suradi
Universitas Widya Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Pewarnaan Graf Dalam Penentuan Jadwal Ujian Mahasiswa (Studi Kasus Prodi Teknik Informatika Unwidha) Niken Retnowati; Aryati Wuryandari; Agustinus Suradi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9440

Abstract

Often, scheduling final-year student exams becomes a problem within the scope of study programs, one of which is the Informatics Engineering study program at Widya Dharma University, Klaten. This is because the schedule of each examining lecturer is not the same, and besides that, the space available also varies every day. There are several alternative algorithms that can be used to solve scheduling problems, one of which is graph coloring. Graph coloring can include points, lines, and areas. In this research, researchers will try to divide student exam schedules using dot coloring, where the dot coloring algorithm used is Welch Powel The Welch Powell algorithm is the most frequently used graph coloring algorithm. This algorithm starts by sorting the degrees of the graph from largest to smallest, then assigns a color to the vertex at the largest vertex and assigns a different color to the vertices below that are not adjacent to that vertex. Keywords: Welch-Powell algorithm, graph, graph coloring.
Workshop Pemanfaatan IT Dalam Rangka Peningkatan Kompetensi Guru Dan Pegawai MTs Negeri 6 Klaten, Jawa Tengah Agustinus Suradi; Mahmud Yusuf; Aryati Wuryandari; Doni Setyawan
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 3 (2023): Oktober : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i3.2268

Abstract

The use of IT in the learning process can provide great benefits, but awareness and understanding of the use of IT in the educational context still needs to be improved at MTs Negeri 6 Klaten. The aim of this workshop will be to provide opportunities for participants to understand and practice various IT applications that are relevant to the educational context. The PKM activity method is carried out in stages: observation & needs analysis, communication & dialogue, workshops, and evaluation. The results of this workshop activity can create a space for collaboration and exchange of ideas between teachers and staff, the material presented can be well understood by the majority of participants, namely 92%, and 96% of participants feel interested in the workshop material. So that it becomes a strategic step in improving the quality of education in MTs and providing better preparation for students in facing future challenges.
Fault-Tolerant Quantum Computing: Engineering Surface Codes for Scalable Error Correction Agustinus Suradi; Mohamed Ould El Had; Aicha Mint Mohamed
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i1.3389

Abstract

Fault-tolerant quantum computing is a fundamental requirement for realizing large-scale, reliable quantum processors, as quantum information is inherently vulnerable to noise, decoherence, and operational imperfections. Among existing quantum error correction schemes, surface codes are widely regarded as the most promising approach due to their high error thresholds and compatibility with realistic hardware constraints. This study aims to investigate how surface codes can be engineered to support scalable fault-tolerant quantum computing under non-ideal noise conditions. The research employs a computational and engineering-oriented methodology based on numerical simulations of surface code architectures with varying code distances, physical error rates, and decoding strategies. Performance is evaluated using logical error rates, threshold behavior, and classical decoding overhead as key indicators. The results demonstrate that surface codes achieve exponential suppression of logical errors in sub-threshold regimes, confirming their robustness for scalable error correction. However, the findings also reveal that classical decoding complexity and correlated noise effects emerge as dominant constraints at larger scales. These results indicate that fault tolerance is not solely determined by quantum error correction theory but arises from the integrated performance of quantum hardware and classical processing systems. In conclusion, the study establishes that scalable fault-tolerant quantum computing requires a co-design approach that simultaneously optimizes surface code architecture, noise mitigation, and decoding efficiency to ensure reliable large-scale quantum computation.
Blockchain-Enabled Multi-Agent Reinforcement Learning for Secure Decentralised Resource Allocation in 5G/6G Network Slicing Agustinus Suradi; Muhamad Aris Sunandar; Umna iftikhar
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 3 (2025): September: Global Science: Journal of Information Technology and Computer Scien
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i3.174

Abstract

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem
Co-Authors Aicha Mint Mohamed Armadyah Amborowati Aryati Wuryandari Doni Setyawan Doni Setyawan Hendro Joko Prasetiyo Hendro Joko Prasetyo hendro, Hendro Joko Prasetiyo Istri Sulistyowati Istri Sulistyowati Lucky Mahesa Yahya M. Suyanto, M. Mahmud Yusuf Mahmud Yusuf Mariana Windarti Marina Windarti Mohamed Ould El Had Muhamad Aris Sunandar Niken Retnowati Niken Retnowati Nurma Yuliana Nurwijayanti Patra Pertiwi, Triani Prasetiyo, Hendro Joko Retnowati, Niken Rizka Safitri L Samino Setyawan, Doni Setyawan, Doni Sri Purwati, Sri Sri Wiyanta Sri Wiyanta Syams Kurnaiawan Hidayat Syams Kurniawan Hidayat Umna iftikhar Via Avelia Khoirul Nisa Widya Bela Saprilia Windarti, Mariana Windarti, Mariana Windarti