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Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Published by CV. SHOFANAH MEDIA BERKAH
ISSN : -     EISSN : 29883814     DOI : -
Core Subject : Humanities, Science, Engineering,
Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation
1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan Algoritma Terdistribusi Pemrosesan Informasi Manusia, 9. Komputasi Berkinerja Tinggi, 10. Penyimpanan informasi, 11. Keamanan, integritas, privasi, dan kepercayaan, 12. Pemrosesan Sinyal Gambar dan Ucapan, 13. Sistem Berbasis Pengetahuan, 14. Jaringan Pengetahuan, 15. Multimedia dan Aplikasi, 16. Sistem Kontrol Jaringan, 17. Klasifikasi Pola Pemrosesan Bahasa Alami, 18. Pengenalan dan sintesis ucapan, 19. Kecerdasan Robot, 20. Analisis Kekokohan, 21. Kecerdasan Sosial, 22. Statistic 23. Komputasi grid dan kinerja tinggi, 24. Realitas Virtual dalam Aplikasi Rekayasa, 25. Intelijen Web dan Seluler, 26. Data Besar, 27. Manajemen Informatika, 28. Sistem Informasi, 29. Desain Permainan, 30. Sistem Multimedia, 31. Pemrosesan Gambar, 32. IOT 33. Pemrograman Seluler, 34. Desain Basis Data, 35. Pemrograman Jaringan, 36. Sistem Terdistribusi, 37. Sistem Pendukung Keputusan, 38. Sistem Pakar, 39. Kriptografi, 40. Model dan Simulasi, 41. Jaringan 42. Teknik Sipil 43. Teknik Kimia 44. Teknik Terapan yang relevan 45. Multimedia
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 371 Documents
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Perancangan dan Implementasi Sistem Web Untuk Analisis Pemilihan Ketua Karang Taruna Menggunakan K-Means Clustering Muhammad Akmal Daffa; Akrom
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 4 No. 3 (2026): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The selection process of the Head of Karang Taruna in Kwitang Village is currently conducted manually without utilizing a data-driven system, resulting in decisions that tend to be subjective and insufficiently supported by objective analysis. To address this issue, this study designs and implements a web-based application to analyze and recommend prospective Heads of Karang Taruna using the K-Means Clustering algorithm. The algorithm is employed to group candidates based on several criteria, including participation, leadership, experience, discipline, communication skills, educational level, and age.The Agile methodology is applied throughout the system development process to enable iterative development and accommodate user requirements through continuous evaluation and feedback in each development cycle. The results indicate that the developed system is capable of generating clusters that represent the suitability level of each candidate for the leadership position. The implementation of the K-Means algorithm provides a more objective analysis compared to the conventional manual selection process.Furthermore, the web-based application effectively presents analytical results, accelerates decision-making, and improves accuracy and transparency in the selection process. Therefore, the proposed system is expected to support the development of more qualified leadership within youth organizations.

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