đ
23 May 2024
DOI: 10.36499/jinrpl.v6i1.9701
Penerapan K-means Clustering untuk Pengukuran Kinerja Programmer di Software House
Jurnal Informatika dan Rekayasa Perangkat Lunak
Universitas Wahid Hasyim
đ 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..
đ Keywords
#Clustering; K-Means; Kinerja; Programmer; SDM
âšī¸ Informasi Publikasi
Tanggal Publikasi
23 May 2024
Volume / Nomor / Tahun
Volume 6, Nomor 1, Tahun 2024
đ HOW TO CITE
Fitria, Alya; Putra, Taufik Ardiansyah; Zaman, Syahiduz, "Penerapan K-means Clustering untuk Pengukuran Kinerja Programmer di Software House," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 6, no. 1, May. 2024.
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