Fadlil, Abdul and Riadi, Imam and Mulyana, Yana Similarity-AF-Classification of Organizational Data Using the K-Means Algorithm.
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Abstract
The University of Muhammadiyah Tasikmalaya (UMTAS) is a private university under the Muhammadiyah association located in Tasikmalaya City, West Java Province. As a form
of developing student soft skills, UMTAS carries out many activities, one of which is through student organizations consisting of internal and external organizations. This research was conducted to find out which student organizations are categorized as excellent, good, and not
good. The assessment attributes for grouping student organization data are the number of active members, activities in one year, organizational discipline, and achievements. Clustering uses the K-Means algorithm. The results obtained from calculations carried out manually and
using the rapidminer application obtained the same results, namely clusters with the "excel�lent" category totaling 8 data (26.6%), clusters with the "good" category totaling 17 data
(56.6%), and clusters with the "not good" category totaling 5 data (16.6%). The results of this study can be used by the head of the bureau of academic administration of student affairs and alumni in providing rewards in the form of priorities in organizational funding, awarding charters and punishments in the form of coaching and revoking student organization decrees.
| Item Type: | Artikel Umum |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisi / Prodi: | Master (Magister) > Master of Technology Informatica (Magister Teknologi Informatika) |
| Depositing User: | Drs. Abdul Fadlil, M.T., Ph.D. |
| Date Deposited: | 22 Aug 2022 01:37 |
| Last Modified: | 22 Aug 2022 01:49 |
| URI: | http://eprints.uad.ac.id/id/eprint/36389 |
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