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All Journal International Journal of Electrical and Computer Engineering Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Proceeding SENDI_U Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Jurnal Komputer Terapan IJIS - Indonesian Journal On Information System JURNAL ILMIAH INFORMATIKA JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informasi dan Komputer JURNAL MAHAJANA INFORMASI Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Infotek : Jurnal Informatika dan Teknologi MEANS (Media Informasi Analisa dan Sistem) Journal of Applied Data Sciences Advance Sustainable Science, Engineering and Technology (ASSET) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Rekayasa elektrika semanTIK Indonesian Journal of Infomatics
Wiwien Hadikurniawati
Universitas Stikubank
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Analisis Komparatif Algoritma Infomap, Label Propagation, dan FluidC dalam Deteksi Komunitas Jaringan Undang-Undang Republik Indonesia Setyawan Wibisono; Herny Februariyanti; Eko Nur Wahyudi; Wiwien Hadikurniawati; Taufiq Dwi Cahyono
SemanTIK : Teknik Informasi Vol. 11 No. 2 (2025): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i2.150

Abstract

Setiap undang-undang di Indonesia pada bagian “Mengingat” dalam konsiderans memuat rujukan terhadap undang undang sebelumnya. Seiring dengan terbitnya undang-undang baru setiap tahun, jaringan keterkaitan antar undang-undang menjadi semakin kompleks dan sulit ditelusuri. Untuk itu, diperlukan pendekatan berbasis social network analysis, khususnya deteksi komunitas, guna memetakan dan mengidentifikasi pola keterkaitan tersebut. Penelitian ini mengevaluasi kinerja tiga algoritma deteksi komunitas, yaitu: Infomap, Label Propagation, dan Fluid Communities (FluidC), dalam mengidentifikasi komunitas pada jaringan undang-undang Indonesia periode 2019–2024. Dataset yang digunakan berbentuk graf berarah, di mana simpul merepresentasikan undang-undang dan sisi menunjukkan hubungan rujukan antar undang-undang. Evaluasi algoritma dilakukan menggunakan empat metrik: modularity, coverage, conductance, dan inter-cluster density. Hasil analisis menunjukkan bahwa Label Propagation unggul pada coverage (0,890), conductance (0,331), dan density (0,498), sehingga lebih efektif dalam menangkap kohesi tematik pada jaringan hukum. Infomap dan FluidC mencatat modularity tertinggi (0,433), tetapi menghasilkan komunitas dengan kepadatan internal yang lebih rendah. Berdasarkan temuan tersebut, Label Propagation direkomendasikan sebagai pendekatan yang lebih tepat untuk analisis jaringan undang-undang di Indonesia. In Indonesian legislation, the “Considering” section of each law’s preamble frequently contains references to preceding laws. As new laws are enacted each year, the network of interconnections among these legal documents has grown increasingly complex, making it difficult to trace and analyze their relationships. To address this challenge, a social network analysis (SNA) approach, particularly community detection, is required to map and identify the underlying patterns of legal interrelations. This study evaluates the performance of three community detection algorithms—Infomap, Label Propagation, and Fluid Communities (FluidC)—in identifying communities within the Indonesian legislative network for the period 2019–2024. The dataset is modeled as a directed graph, where nodes represent individual laws and edges indicate citations between them. Algorithm performance was assessed using four metrics: modularity, coverage, conductance, and inter-cluster density. The analysis results show that Label Propagation outperformed the others in terms of coverage (0.890), conductance (0.331), and density (0.498), demonstrating its effectiveness in capturing thematic cohesion within the legal network. In contrast, Infomap and FluidC achieved the highest modularity scores (0.433) but produced communities with lower internal density. Based on these findings, Label Propagation is recommended as a more suitable approach for analyzing Indonesia’s legislative networks.
A Context Aware Knowledge Graph Framework for Enhancing Semantic Interoperability in Large Scale Distributed Information Systems Wiwien Hadikurniawati; Dendy kurniawan; Edy Siswanto
Indonesian Journal of Infomatics Vol. 1 No. 1 (2026): February: Indonesian Journal of Infomatics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/iji.v1i1.31

Abstract

Semantic interoperability remains a major challenge in large scale distributed information systems due to heterogeneous data schemas, diverse contextual interpretations, and the dynamic nature of distributed environments. Traditional metadata-based interoperability approaches are often insufficient to address these challenges, as they lack semantic expressiveness and adaptability. This study proposes a context aware knowledge graph framework to enhance semantic interoperability across heterogeneous distributed systems. The research adopts a design-oriented methodology involving requirement analysis, knowledge graph construction, ontology modeling and alignment, context aware semantic representation, and semantic reasoning. A prototype implementation is developed to evaluate the effectiveness of the proposed framework through interoperability scenarios and cross-system semantic queries. The results demonstrate that the proposed approach significantly improves semantic alignment accuracy, query precision, and recall compared to conventional metadata-based solutions. The explicit integration of contextual information and ontology-based reasoning enables adaptive semantic interpretation and reduces ambiguity across systems. Overall, the findings confirm that combining knowledge graphs with ontology modeling and context aware mechanisms provides a robust and scalable solution for improving semantic interoperability in complex distributed information systems.
Co-Authors Abriyanto, Oky Achmad Solichan Ade Iriani Adhi Mulya, Ananda Agung Prihandono Agus Prasetyo Utomo Aji Supriyanto Almin, Imam Husni Al Alviani Setya Yuniantika Andiany, Fairuz Eka Andiany, Fairuz Eka Angga Dewandono Anindita Septiarini, Anindita Anindita Septirini Anwar, Muchamad Taufiq Arief Jananto Arthur, Christian Brian Datuesa, Egga Cahyono, Taufik Dwi Danny Manongga Dendy Kurniawan Dwi Agus Diartono Eddy Nurraharjo Edy Siswanto Edy Winarno Eka Andiany, Fairuz Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih EngMarkiano Solissa, Everhard Eri Zuliarso Erika Dewi Anggraini Fadhilah, Lailatul Farih, Nia Nailil Fatkhul Amin fatkhurrizqi, Maolana Galih Setiadi Gunawan, Doni Triyoga Gusti Ari Prasetyo Hamdani Hamdani Hamdani Hamdani Heribertus Yulianton Herny Februariyanti Herny Februariyanti Heru Yudia Setyo Anggoro Hindriyanto Dwi Purnomo Huda, Azis Fatchul Imam Husni Al Amin Indriani, Vanyariska Irfak Lahumu Darojat Irwan Sembiring Ivannofick Adha Nugraha Khabib Mustofa Kristoko Dwi Hartomo M Arip Islahudin Mohammad Faisal Fahrul Monica Yoshe Titimeidara Muchamad Maskhur Muji Sukur Putra Ramdani, Aditya Rudi Hariyanto Sari, Lenny Estika Sarita Yuniarti Hanum Setyawan Wibisono Setyawan Wibisono Setyawan Wibisono Sidiq Eko Budiharjo Sri Eniyati Suci ananda sari Sulastri Sulastri Sutarto Wijono Taufiq Dwi Cahyono Tegar Prabowo, Satria Veronica Lusiana Wijayanti, Tri Cicik Zakaria, Franky Zuly Budiarso