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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Masyarakat Merdeka (JMM) Indonesian Journal of Combinatorics Jurnal Pengabdian Masyarakat IPTEKS JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Kontribusia : Research Dissemination for Community Development Community Development Journal: Jurnal Pengabdian Masyarakat Discovery : Jurnal Ilmu Pengetahuan Journal of Mathematics Education and Science Journal of Community Development BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Journal of Social Outreach AL-UMRON: Jurnal Pengabdian kepada Masyarakat International Journal of Trends in Mathematics Education Research (IJTMER) Jurnal Aplikasi Sistem Informasi dan Elektronika Jurnal Pengabdian Indonesia CEJou Jurnal Pengabdian Masyarakat Manage ABDIMASTEK Computing and Information System Journal Teknologi : Jurnal Ilmiah Sistem Informasi
Umilasari, Reni
Universitas Muhammadiyah Jember
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Discovery : Jurnal Ilmu Pengetahuan

 1 
Application of Graph Theory on Dominant Local Metric Dimension Based Website Using Breadth-First Search Aurelia; Reni Umilasari; Dudi Irawan
Discovery Vol 10 No 2 (2025): October 2025
Publisher : LPPM Universitas Hasyim Asy'ari Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/discovery.v10i2.10073

Abstract

This study presents the implementation of the Breadth First Search (BFS) algorithm to determine the dominant local metric dimension on path graphs through a web-based platform. The system allows users to input the number of vertices, generates a corresponding path graph, computes the dominant local metric basis set, and calculates the minimum distance from each vertex to the basis using BFS. All processes are automated and displayed interactively using the Plotly library within a responsive website interface. The system was built using the Django framework, employing NetworkX for graph operations and Plotly for visualization. The BFS algorithm ensures the shortest distance calculation from a starting vertex to all others, providing a unique distance vector for each vertex that satisfies domination and local resolving set properties. This research shows that BFS is not only effective for theoretical computations but also practical in digital applications. Future development is recommended to support more complex graph structures, such as cycles, trees, or general graphs, to enhance the system's versatility.
Analisis Kinerja Transformer Untuk Named Entity Recognition (NER) Menggunakan IndoBERT Pada Transkrip Video Politik Berbahasa Indonesia Muchtar, Nabillah Ufairoh; Deni Arifianto; Reni Umilasari
Discovery Vol 10 No 2 (2025): October 2025
Publisher : LPPM Universitas Hasyim Asy'ari Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/discovery.v10i2.10133

Abstract

Penelitian ini mengkaji kinerja model Named Entity Recognition (NER) berbasis IndoBERT pada transkrip pidato politik berbahasa Indonesia. Dataset terdiri dari 186 transkrip pidato resmi Presiden Republik Indonesia (periode 2014–2024) yang diperoleh dari kanal YouTube Sekretariat Kabinet. Proses meliputi pembersihan teks, normalisasi, tokenisasi WordPiece, pelabelan otomatis menggunakan model cahya/bert-base-indonesian-NER, serta fine-tuning dengan strategi 5-fold cross validation. Evaluasi menggunakan metrik precision, recall, dan F1-score. Hasil menunjukkan IndoBERT mampu mengenali entitas inti (PER, ORG, LOC) dengan performa sangat baik (nilai metrik rata‑rata > 0.98 untuk sebagian besar label), sementara entitas DATE dan CRD sedikit lebih rendah. Analisis distribusi entitas mengungkap dominasi penyebutan organisasi, lokasi, dan angka dalam pidato politik. Temuan ini memperkuat potensi IndoBERT sebagai alat bantu analisis teks politik berbahasa Indonesia
Co-Authors Afkar Ayyasy Agil Dwi Saputra Agung Nilogiri Arifianto, Deni Aurelia Azhar, Reza Fachruddin Camerino, Wellen Cetta Ugama Putra Chaidir, Reza Daffa, Clarence Daffa Rizqullah Dasuki, Moh. Deviyati, Mike Yurike Dita Dimas Pradana Dody Wahyu Wirawan Dwi Putri Pramudiya Eko Wahyudi Fadholy, Rizal Agung Ginanjar Abdurrahman Ikrimatul Wilda Lorenza Ilanka Cahya Dewi Imam Rosadi Irawan, Dudi Isnawati Lujeng Lestari Leny Septianingrum Lestari, Isnawati Lujeng Liliek Susilowati Moh Dasuki Moh. Mahdi Sya’bani Muchtar, Nabillah Ufairoh Mufarida, Nely Ana Mukti Sintawati Nanang Saiful Rizal Nurhalimah Nurhalimah Oktavianto, Hardian Prabhu, Savari Prianggi, Devi Putri Putranto, Bima Arya Qurrota A’yun Rahman, Miftahur Rahman, MIftahur Reza Fachruddin Azhar S Slamin Sahiruddin Sahiruddin Saifudin, Ilham Savana, Bella Risma Khailla Septiara, Dhea Intan Sya?bani, Moh. Mahdi Teguh Mutawaffi H.F. Triawan Adi Cahyanto Wibisono, Yusub Winahyu, Pawestri Zakiyah, Amalina Maryam Zakiyyah, Amalina Maryam Zakiyyah, Amalina Maryam Zakiyyah, Amalina Masyam