IMPLEMENTASI K-MEANS CLUSTERING UNTUK ANALISIS PENILAIAN PEMBELAJARAN PADA MATA KULIAH BERDASARKAN EDOM DI FAKULTAS ILMU KOMPUTER UPNVJ

Muhammad Fadhlan Wijaya, . (2025) IMPLEMENTASI K-MEANS CLUSTERING UNTUK ANALISIS PENILAIAN PEMBELAJARAN PADA MATA KULIAH BERDASARKAN EDOM DI FAKULTAS ILMU KOMPUTER UPNVJ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

In this research, learning assessment grouping was carried out based on courses using EDOM (Lecturer Evaluation by Students) data as the main data source. The aim of clustering learning assessments is to find out the optimal clusters and what clusters are formed from the final results of the grouping and to know the distribution of data from each cluster. The EDOM data used in this research is a collection of EDOM data from the Faculty of Computer Science, Informatics Study Program from 2013 to 2024 with a total of 4535 rows of data and 18 columns of data. The clustering technique used in this research utilizes the K-Means clustering algorithm by comparing the cluster values obtained from the Elbow method with the cluster values obtained based on the assessment scale in EDOM data. The model evaluation carried out for this clustering used the Silhouette Score technique, which produced the highest average score of 0.55 using the Elbow method. Visualization of grouping results is also carried out by displaying the results in website form so that the results are easier to understand.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2010511123] [Pembimbing 1: Neny Rosmawarni] [Pembimbing 2: Ati Zaidiah] [Penguji 1: Musthofa Galih Pradana] [Penguji 2: Muhammad Adrezo]
Uncontrolled Keywords: Lecturer Evaluation by Students (EDOM), Clustering, Cluster, Faculty of Computer Science, Informatics Study Program, K-Means clustering.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: MUHAMMAD FADHLAN WIJAYA
Date Deposited: 04 Feb 2025 06:21
Last Modified: 04 Feb 2025 06:21
URI: http://repository.upnvj.ac.id/id/eprint/35495

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