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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Syntax Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JURTEKSI Jurnal Manajemen Informatika Journal of Information Systems and Informatics Jurnal Digit : Digital of Information Technology International Journal of Trends in Accounting Research Journal of Community Empowerment and Innovation Jurnal Indonesia Sosial Teknologi Jurnal Manajemen Sistem Informasi Kohesi: Jurnal Sains dan Teknologi KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Chairun Nas
Universitas Catur Insan Cendekia
Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Implementation of the Smart Indonesia Card Scholarship (KIP) Acceptance Using the K-NN Method (Case Study: Politeknik Siber Cerdika Internasional) Abi Surya Wijaya; Lena Magdalena; Chairun Nas
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1382

Abstract

This study discusses the implementation of the K-Nearest Neighbor (K-NN) method in the process of receiving the Smart Indonesia Card (KIP) scholarship at the Cerdika International Cyber Polytechnic. The main purpose of this study is to improve accuracy and efficiency in the selection of KIP scholarship recipients. The K-NN method was chosen because of its ability to classify data based on the proximity of features between samples. This research involves analyzing data on prospective scholarship recipients which includes variables such as academic achievement, economic conditions, and extracurricular activities. The results of the implementation of the K-NN method show that this method can be used as an effective tool in the selection process of KIP scholarship recipients, with a fairly high level of accuracy compared to traditional methods. This finding is expected to help the Polytechnic in increasing transparency and fairness in providing scholarships.
Co-Authors Abi Surya Wijaya Agus Sevtiana Amroni Amroni Ayu Indriani Diki Andriyan Harta Kusuma Farhan Dito Bil Azhar Harahap, Eka Purnama Ilwan Syafrinal Imelda Angelica Jamaludin Aries Kiki Noviyanti Komarudin Komarudin Kusnadi Kusnadi Kusuma, Ricky Perdana Lena Magdalena Lena Magdalena Lena Magdalena Linda Norhan Marsani Asfi Muhammad Abdurrahman Muhammad Hatta Muhammad Hatta Nursaka Putra Petrus Sokibi Sukanto Pranata, Sudadi Ridho Taufiq Subagio Ridho Taufiq Subagio Sanatin Sanatin Suwandi Suwandi Syauqi Afrizal Pratama Turini Turini Untung Rahardja Wahyudi Fajar Ramadhan Wanda Ilham Wiwiek Nurkomala Dewi Wiwiek Nurkomala Dewi