Jupiter
Vol 17 No 2 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)

Implementation of Machine Learning Based on the K-Nearest Neighbor (KNN) Algorithm in Elderly Activities in Nursing Homes

Nia, Nia Umilizah (Unknown)
Lemi, Lemi Iryani (Unknown)
Dwi, Dwi Fitri Brianna (Unknown)

Article Info

Publish Date
19 May 2025

Abstract

This study aims to implement the K-Nearest Neighbor (KNN) algorithm to classify elderly activities in nursing homes based on their daily activity data. The method assists administrators in better understanding the preferences and conditions of the elderly so that activities provided can be more targeted. The dataset includes various attributes such as age, gender, health condition, and types of activities attended. After preprocessing, the KNN algorithm is applied with different values of k to determine optimal performance. The evaluation results show that k=3 yields the highest accuracy of 92%. Therefore, the model can be used as a decision support system for planning elderly activities in nursing homes.

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Journal Info
Jupiter
Website

Abbrev

jupiter

Publisher

Politeknik Negeri Sriwijaya

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...