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All Journal Information Technology and Telematics Dinamik Proceeding SENDI_U Jurnal Ilmiah KOMPUTASI AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Syntax Literate: Jurnal Ilmiah Indonesia JurTI (JURNAL TEKNOLOGI INFORMASI) KACANEGARA Jurnal Pengabdian pada Masyarakat JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Teknologi Dan Sistem Informasi Bisnis Aiti: Jurnal Teknologi Informasi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Fundamentum: Jurnal Pengabdian Multidisiplin Jurnal Informatika Dan Tekonologi Komputer ABDINE :Jurnal Pengabdian Masyarakat
Sariyun Naja Anwar
Universitas STIKUBANK
Religion Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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IMPLEMENTASI METODE DESIGN THINKING PADA SISTEM INFORMASI ATLET BERBASIS WEBSITE DI KONI KABUPATEN KENDAL Talitha Azaria Sani; Sariyun Naja Anwar; R. Soelistijadi R. Soelistijadi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.5975

Abstract

Komite Olahraga Nasional Indonesia (KONI) Kabupaten Kendal merupakan badan olahraga di Provinsi Jawa Tengah yang bertanggung jawab dalam pembinaan atlet, pengelolaan kegiatan olahraga, dan penyediaan data untuk mendukung pencapaian prestasi hingga tingkat internasional. Pengelolaan data atlet saat ini di KONI Kabupaten Kendal masih bersifat semi-manual menggunakan berkas-berkas fisik dan microsoft excel yang menyebabkan beberapa kendala seperti kesulitan dalam mengakses data, tidak mendukungnya multi-user, serta berisiko kehilangan data. Oleh sebab itu perlu pengembangan sistem informasi atlet yang dapat merekap data atlet, pelatih, dan cabang olahraga agar memberikan kemudahan dalam manajemen serta penyajian informasi. Dalam proses pengembangan sistem menggunakan metode design thinking yang melibatkan tahapan empathize, define, ideate, prototype, dan testing. Data riset diperoleh dari kegiatan observasi dan wawancara terhadap calon pengguna sistem agar menghasilkan solusi yang lebih relevan dengan kebutuhan user. Prototype yang dihasilkan dari riset ini telah diuji menggunakan System Usability Scale (SUS) dan mendapatkan nilai akhir sebesar 80,7 dengan Grade A-. Hasil pengujian usability menunjukkan bahwa sistem informasi atlet memiliki tingkat kegunaan yang memuaskan, baik dari segi fungsionalitas maupun kemudahan penggunaannya
Penerapan Social Network Analysis dengan Network X untuk Melihat Derajat Sentralitas pada Dataset Jaringan Sosial Widianto Tri Handoko; Sariyun Naja Anwar; Edy Supriyanto; Endang Lestariningsih
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8768

Abstract

Social Network Analysis (SNA) is a crucial quantitative methodology for mapping relationships and identifying connectivity structures within a group. This research specifically explores the use of the NetworkX library in Python as an effective tool for analyzing social networks. The primary objective of this study is to apply the Degree Centrality method to measure the level of connectivity and identify the most popular actors in a social network. The methodology employed is the quantitative analysis of an undirected graph modeled from the us_edgelist.csv dataset, which contains a list of relationships among political figures in an edge list format. Data processing utilized pandas, and the graph object was constructed using NetworkX. Degree Centrality was calculated for each node, with the results being normalized to provide a relative value. This normalization allows for a direct comparison of how active each actor is within the network. The centrality results were then visualized, with node sizes adjusted based on their Degree Centrality score. The results of the analysis indicate that figures like Bush and Obama possess the highest Degree Centrality score, 0.25, suggesting they have the greatest number of direct connections in this network. This high value confirms their role as the most active or central actors in the exchange and interaction within the political network studied. This finding validates the effectiveness of Degree Centrality as an indicator of high involvement. The study concludes that the implementation of Social Network Analysis using NetworkX provides a robust framework for understanding political relationship structures. Therefore, Degree Centrality is a reliable metric for quantifying actor activity and accurately identifying individuals who form the center of connections within the network.
Co-Authors Aldri Frinaldi Anam, Farid Asroful Angga perdana Budi Hartono Budi Santoso, Dwi Damara, Muhammad Danu Dian Kristiawan Nugroho Dwi Agus Diartono Ebimbi, Selgi Agilsa Edy Supriyanto Edy Supriyanto Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Eri Zuliarso Ferdian, Aldi Dwi Handayani Untari Ningsih, Dewi Hari Murti Hersatoto Listiyono Indra Pangestu, Bayu Marga Irfiana, Safira Isworo Nugroho Iwan Budianto Jefri Alfa Razak Kelvin Benyamin Sitompul Pangestu, Bayu Marga Indra Pangestu, Bayu Marga Indra Prameswari, Rr Binar Novicha Prameswari, Rr Binar Novicha Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas R. Soelistijadi R. Soelistijadi R. Soelistijadi Radyanto, Mohammad Riza Rara Sri Artati Redjeki Retnowati Retnowati Retnowati Retnowati Retnowati Retnowati Saefurrohman Sigit Purnomo Sri Eniyati Sri Mulyani Sri Mulyani Sulastri Sulastri Sulthansyah Malik Fajar Talitha Azaria Sani Taufiq Dwi Cahyono Teguh Khristianto Veronica Lusiana Wibowo, Bachtiar Tri Wibowo, Bachtiar Tri Widianto Tri Handoko Wismarini, Th Dwiati Yohanes Suhari