Sistem Pengambilan Keputusan untuk Efisiensi Penggunaan Ruangan Rumah Sakit menggunakan Algoritma K-Means
DOI:
https://doi.org/10.24252/shift.v6i1.206Keywords:
Decision Support System;, Hospital Management;, K-Means Clustering;, Room EfficiencyAbstract
Efficient room utilization is a crucial aspect in supporting the quality of healthcare services. Muhammadiyah Lamongan Hospital has faced issues such as schedule overlaps and uneven room usage. This study aims to evaluate room utilization efficiency by applying the K-Means Clustering algorithm. A total of 180 booking records from six non-clinical rooms over one month were analyzed using three parameters: frequency, total duration, and average duration of use. The data were cleaned, normalized using the min-max method, and clustering into three intensity categories: high, medium, and low. The results showed that the Main Meeting Room belonged to the high-intensity category, the Kordik Meeting Room was categorized as low, and the remaining four rooms fell into the medium category. Overall, the rooms were grouped into one high intensity, four medium, and one low. These results provide an evaluative basis for management to develop more efficient room allocation strategies. In addition, the clustering process was implemented into an application-based system that presents the results automatically and visually. The system is designed to be user-friendly for non-technical users and supports strategic, data-driven decision-making. This approach also holds potential for adaptation in other public service institutions with similar needs.
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