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Dika Imantika
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Penerapan Metode K-Means Clustering dan Analytical Hierarchy Process (AHP) untuk Pengelompokan Kinerja Guru dan Karyawan pada SMA Brawijaya Smart School Dika Imantika; Fitra Abdurrachman Bachtiar; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Brawijaya Smart School Senior High Malang every months did performance assessments for their teachers and employees. However, there still some problems such as printing and distributing questionnaires is inefficient, requiring costs and energy. As well as not using particular system or method in processing the results of the questionnaire into values and graphics for monthly reports and determine the best teacher or employee. K-Means clustering is used to divide teachers and employees into groups based on value result from questionnaire. Furthermore, the Analytical Hierarchy Process used to rank the teachers and employees by using priority choices from various alternatives. Results of analysis using Elbow, SSE, Connectivity, Dunn Index, and Silhouette width, the optimal number of clusters is 2 and 3. Then the teachers and employees rankings are generated on each cluster along with overall rankings and per criteria. The Spearman correlation test results in data 1 is 0.771 and data 2 is 0.888 where both show a strong correlation. Scatter plots both show positive correlation. The dashboard system is generated in the form of a graphics of the number of teachers and employees, clusters and members of each cluster, and list of teachers and employees with the Usability Testing calculation using the System Usability Testing (SUS) method showing a value of 72, 5 which is an acceptable categories.
Co-Authors Fitra Abdurrachman Bachtiar Retno Indah Rokhmawati