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All Journal Sainteks Jurnal Informatika Jurnal Sarjana Teknik Informatika International Journal of Advances in Intelligent Informatics InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) IJID (International Journal on Informatics for Development) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Building of Informatics, Technology and Science Journal of Information Systems and Informatics
Nur Rochmah Dyah Pujiastuti
Universitas Ahmad Dahlan
Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Key Scalability Effects on Entropy and Computational Complexity in a GA-SA Hybrid Cryptosystem Naufal Muzakki; Nur Rochmah Dyah Puji Astuti
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1607

Abstract

Digital data security demands robust encryption systems in which key randomness quality serves as the primary determining factor. Metaheuristic algorithms such as the Genetic Algorithm (GA) and Simulated Annealing (SA) exhibit significant potential for key generation optimization. However, each is individually susceptible to premature convergence and slow computational time, respectively, motivating their sequential hybridization. This study proposes a GA-SA hybrid cryptographic architecture with dynamic population sizing to optimize pseudo-random keystream generation in XOR encryption, evaluated using 15 PDF document datasets across three key configurations: 16 characters (128-bit), 32 characters (256-bit), and 64 characters (512-bit). The hybrid system consistently reduced local optima entrapment across all configurations, with the 64-character key achieving the highest randomness quality at a Shannon Entropy of 7.9288 bits/byte and a mean NIST SP 800-22 Monobit Frequency Test P-Value of 0.2999, though this does not constitute a full NIST SP 800-22 suite evaluation. Runtime analysis showed near-linear empirical growth within the tested range, from 0.0361 seconds to 0.1305 seconds, without exponential bottleneck effects, suggesting the proposed architecture is a promising candidate for pseudo-random keystream generation under tested conditions, with further validation recommended before production deployment.
Spatio-Temporal Graph-Based Hotspot Analysis of Earthquake Events Using Spatial Autocorrelation and Community Detection in Indonesia Ika Arfiani; Herman Yuliansyah; Nur Rochmah Dyah Puji Astuti; Arfiani Nur Khusna
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1641

Abstract

Analysis of clustered seismic regions is important for understanding seismic activity patterns in tectonic regions such as Indonesia. However, conventional spatial statistical approaches generally analyze earthquake events independently and fail to capture complex spatio-temporal relationships. This study proposes a graph-based spatio-temporal hotspot analysis approach integrating spatial autocorrelation and community detection to identify regional seismic interaction patterns. The dataset used consists of 3,000 earthquake events from 2008–2025. Spatial autocorrelation was analyzed using Moran’s I, while earthquake relationships were modeled using a spatio-temporal graph with spatial and temporal thresholds of ≤400 km and ≤60 days. The results showed significant positive spatial autocorrelation with Moran’s I = 0.3367 (p = 0.001). The resulting graph consisted of 3,000 nodes and 22,896 edges, revealing substantial regional-scale connectivity and 14 major clusters with a modularity score of 0.7405, indicating a strong community structure. Degree centrality analysis identified highly connected nodes with a maximum degree of 77. These findings indicate that integrating spatial autocorrelation and graph analysis provides a more comprehensive representation of seismic interaction patterns and may support future seismic risk assessment in tectonically active regions.
Co-Authors Abdullah Sayfei Nurdin Ali Tarmuji Anwar, Muhammad Dhabit Arfiani Nur Khusna Armandira Maulana P. Dewi Soyusiawati Edy Nugroho Eka Hidayah Meliana Dewi Eko Aribowo Fiftin Noviyanto Hanif, Ardhan Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Ika Arfiani M.Asrori Eko Cahyono Maulana P., Armandira Murein Miksa Mardhia Murinto Murinto Naufal Muzakki Naufal Zafrany Syamsudin Nugroho, Edy Nuril Anwar, Nuril Panca Handika Suwardi Sakirno, Muhammad Bayu Aji Sri Winiarti Tri Rezeki Kustiadi Widodo Ardi Saputra Yoga Putra Pamungkas