Application Of The Fuzzy C-Means Method In Elderly Health Analysis At The Blitar Regency Elderly Home

Muhammad 'Izza Al-manfaluti; Sri Lestanti; Sabitul Kirom

doi:10.55227/ijhet.v5i3.1194

Authors

Muhammad 'Izza Al-manfaluti Balitar Islamic University
Sri Lestanti Balitar Islamic University
Sabitul Kirom Balitar Islamic University

DOI:

https://doi.org/10.55227/ijhet.v5i3.1194

Keywords:

Fuzzy C-Means, Health, Clustering, Elderly, Nursing Home

Abstract

The increasing number of elderly population requires a structured health assessment to support the determination of appropriate interventions in elderly care facilities. This study aims to identify the health patterns of elderly in elderly care facilities in Blitar Regency using Fuzzy C-Means (FCM) and evaluate the validity of clusters using Partition Coefficient (PC). This is an applied research with a sample of 90 elderly from three elderly care facilities. Data were collected through interviews, observations, and measurements of weight, height, blood pressure, blood sugar, BMI, MAP, and PP. The analysis was performed using Min-Max Normalization, FCM, and PC validation. The results showed three clusters, namely healthy (40%), alert (11.11%), and high risk (48.89%), with a PC value of 0.7535 indicating good cluster quality. The findings indicate that FCM is able to identify variations in elderly health conditions. In conclusion, FCM and PC validation can support monitoring and determining the priority of elderly health interventions.

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