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All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak
Alya Fitria
UIN Maulana Malik Ibrahim Malang
Computer Science & IT

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Penerapan K-means Clustering untuk Pengukuran Kinerja Programmer di Software House Alya Fitria; Taufik Ardiansyah Putra; Syahiduz Zaman
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9701

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..
Co-Authors Syahiduz Zaman Taufik Ardiansyah Putra