ANALISIS CLUSTERING DATA LANSIA DI POSYANDU BALONG MENGGUNAKAN METODE K-MEANS UNTUK PENINGKATAN PELAYANAN KESEHATAN
Berkas Tugas Akhir
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Abstract
Posyandu for the elderly is a place of health services for elderly people. Posyandu for the elderly is held every 4 meetings in a rotating manner, such as in the villages of Balong, Sumber Agung, Sukomulyo, Sidorejo, Sidomulyo, Bangun Asri and Bangunsari, the 7 villages that have posyandu for the elderly. To group the patient data into groups based on age, weight, blood pressure, blood sugar and determine healthy and unhealthy cluster results in the elderly. Clustering testing of elderly data was carried out using a website application that had been tested using black box and white box, with good results. And the elderly data clustering process ran well without any errors on the website. Testing this system requires data from 530 elderly people from Balong village to determine cluster results for healthy and unhealthy elderly people. Through the K-means process, in determining clusters, data is needed in the form of: name, gender, age, blood pressure, body weight and blood sugar.
Informasi Item
| Item Type | Thesis (Skripsi (S1)) |
|---|---|
| Uncontrolled Keywords | Algorithm, K-means, Posyandu for the elderly in Balong village, Clustering Method, Iteration |
| Subjects | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions | Faculty of Engineering |
| Date Deposited | 05 Sep 2024 01:10 |
| Last Modified | 08 Jan 2025 06:40 |
| URI | https://eprints.umpo.ac.id/id/eprint/14934 |
