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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 Global Science: Journal of Information Technology and Computer Science
Agustinus Suradi
Universitas Widya Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics

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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.
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 Armadyah Amborowati Doni Setyawan Hendro Joko Prasetiyo Hendro Joko Prasetyo hendro, Hendro Joko Prasetiyo Istri Sulistyowati Istri Sulistyowati Lucky Mahesa Yahya M. Suyanto, M. Mahmud Yusuf Mariana Windarti Marina Windarti 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