relation: https://eprints.untirta.ac.id/52836/
title: OPTIMALISASI PROSES KADERISASI DI PERUSAHAAN XYZ   DENGAN MEMAHAMI PERSEBARAN DATA KARYAWAN   MENGGUNAKAN ALGORITMA FUZZY C-MEANS
creator: SEPTIANA, A'IDAH EKA
subject: QA76 Computer software
description: The cadre development process is a key aspect of human resource (HR) development in companies. This study aims to group employees based on specific characteristics by   implementing the Fuzzy C-Means (FCM) algorithm to support data-driven decision making in the cadre development process. FCM was chosen for its ability to handle data with similarities between clusters through membership degrees. The dataset used includes variables such as department, region, education, gender, recruitment channel, number of trainings, age, previous year rating, length of service, KPIs met more than 80, awards won, and average training score. The main approach in this study uses all features in the clustering analysis to ensure that the information obtained covers all information relevant to employees. As a comparison, an analysis using feature selection was also conducted, showing an improvement in cluster evaluation values, as indicated by an increase in the Silhouette Score from 0.7934 to 0.8634 and the Fuzzy Partition Coefficient (FPC) from 0.8918 to 0. 9347, as well as a decrease in the Xie-Beni Index (XBI) from 0.0222 to 0.0194. However, the use of feature selection reduces the breadth of information obtained from the clustering results due to the limited features used, so this should be considered when implementing it. Based on the final clustering results using all features, the optimal number of clusters was found to be 4, representing employee clusters with distinct characteristics. This can be used to develop appropriate, effective, and data-driven employee development strategies.
date: 2025-07-28
type: Thesis
type: NonPeerReviewed
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identifier: https://eprints.untirta.ac.id/52836/1/A%27idah%20Eka%20Septiana_3337210063_Fulltext.pdf
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identifier: https://eprints.untirta.ac.id/52836/2/A%27idah%20Eka%20Septiana_3337210063_01.pdf
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identifier: https://eprints.untirta.ac.id/52836/3/A%27idah%20Eka%20Septiana_3337210063_02.pdf
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identifier: https://eprints.untirta.ac.id/52836/4/A%27idah%20Eka%20Septiana_3337210063_03.pdf
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identifier: https://eprints.untirta.ac.id/52836/5/A%27idah%20Eka%20Septiana_3337210063_04.pdf
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identifier: https://eprints.untirta.ac.id/52836/6/A%27idah%20Eka%20Septiana_3337210063_05.pdf
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identifier: https://eprints.untirta.ac.id/52836/7/A%27idah%20Eka%20Septiana_3337210063_Ref.pdf
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identifier: https://eprints.untirta.ac.id/52836/8/A%27idah%20Eka%20Septiana_3337210063_Lamp.pdf
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identifier: https://eprints.untirta.ac.id/52836/9/A%27idah%20Eka%20Septiana_3337210063_CP.pdf
identifier:   SEPTIANA, A'IDAH EKA  (2025) OPTIMALISASI PROSES KADERISASI DI PERUSAHAAN XYZ DENGAN MEMAHAMI PERSEBARAN DATA KARYAWAN MENGGUNAKAN ALGORITMA FUZZY C-MEANS.  S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.