Penerapan K-means Clustering untuk Pengukuran Kinerja Programmer di Software House

Alya Fitria, Taufik Ardiansyah Putra, Syahiduz Zaman

Abstract


Performance evaluation of programmers plays a crucial role in maintaining efficiency within a software development company. This study proposes the implementation of K-means clustering as a method to measure and categorize programmer performance based on several criteria. The proposed approach involves assessing code quality, productivity, technical skills, team collaboration, and problem-solving abilities. By applying the K-means clustering method, programmers can be grouped into different performance clusters, allowing for the identification of high, moderate, and developmental performers. The K-means clustering method divides data into clusters related by calculating the distance between data points and cluster centers, and iterates until stable clusters are formed..


Keywords


Clustering, K-Means, Kinerja, Programmer, SDM

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References


Amirulloh, I. (2019) ‘Pemetaan Kelompok Kerja Siswa dengan Metode Clustering K-Means dan Algoritma Greedy’, Jurnal Informatika dan Rekayasa Perangkat Lunak, 1(2), pp. 94–98. doi:10.36499/jinrpl.v1i2.2953.

Mauludin, M.S. and Suali (2019) ‘Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode TOPSIS di PT Karya Mitra Nugraha’, Informatika dan RPL, 1(2), pp. 88–93.

Nurahman and Dwi Aulia, D. (2023) ‘Klasterisasi Pendidikan Masyarakat untuk mengetahui Daerah dengan Pendidikan Terendah menggunakan Algoritma K-Means’, Jurnal Informatika dan Rekayasa Perangkat Lunak, 5(1), pp. 38–44.

Saputra, M.A.W. et al. (2021) ‘Survei Teknik-Teknik Pengukuran Kualitas Perangkat Lunak’, ILKOMNIKA: Journal of Computer Science and Applied Informatics, 3(1), pp. 11–29. doi:10.28926/ilkomnika.v3i1.38.

Sutisna, G. (2019) ‘Analisis Teamwork Karyawan di PT Nusantara Cemerlang’, Prosiding FRIMA (Festival Riset Ilmiah Manajemen dan Akuntansi), (2), pp. 975–979. doi:10.55916/frima.v0i2.131.

Syahputra, M.A.D. (2021) ‘Pentingnya Pendekatan Interpersonal Skills untuk Mengembangkan Hard Skill & Soft Skill pada Mahasiswa’, JEJAK : Jurnal Pendidikan Sejarah & Sejarah, 1(2), pp. 82–90. doi:10.22437/jejak.v1i2.16320.

Thaher, I.A., Septiarini, A. and Puspitasari, N. (2022) ‘Pengelompokan Kualitas Kinerja Pegawai Menggunakan Metode K-Means Clustering’, Komputika : Jurnal Sistem Komputer, 11(2), pp. 131–141. doi:10.34010/komputika.v11i2.5518.

Toharudin, U. and Setia Kurniawan, I. (2017) ‘Studi Kasus Pada Psikologi Pendidikan: Bagaimana Mahasiswa Memiliki Kemampuan Problem Solving’, Jurnal Pendidikan Biologi Indonesia, 3(1), pp. 36–44. Available at: http://ejournal.umm.ac.id/index.php/jpbi.

Wahyuningsih, S. (2019) ‘Pengaruh Pelatihan dalam Meningkatkan Produktivitas Kerja Karyawan’, Jurnal Warta Edisi: 60, (April), pp. 91–96.




DOI: http://dx.doi.org/10.36499/jinrpl.v6i1.9701

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