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Syafruddin Syarif
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Aerospace Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Engineering Health Professions Immunology & microbiology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health

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Analysis of Determining Outpatient Service Time Based on Urgency in a Hospital Using The K-Means Clustering Method Johari; Syafruddin Syarif; Respaty Namruddin
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2025): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

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Abstract

This study aims to optimize outpatient service time at Maryam Citra Medika Hospital, which has been facing long waiting times due to linear queues without considering the patient's urgency level. This results in patients with urgent conditions having to wait with patients with lower needs, resulting in ineffective service time and increasing health risks. The K-Means Clustering method was applied to group patients based on urgency level and determine efficient service time allocation. The data used were 8,308 outpatient visit records from January to December 2024, covering clinic service times, vital signs, chief complaints, and the patient's general condition. Data was processed using attribute selection and Min-Max Scaling normalization. Determining the optimal number of clusters (k) using the Elbow method identified k=3 as the best value. The implementation of K-Means Clustering with k=3 resulted in three patient clusters with unique clinical characteristics. Model performance evaluation using the Davies-Bouldin Index yielded a value of 0.164, which is excellent and close to ideal, indicating that the clusters formed are internally cohesive and externally well separated. Based on the characteristics of each cluster, recommendations for patient service time allocation are based on clinical condition priority. Cluster 0 (elderly patients with severe hypertension) is recommended to receive the shortest wait time (<30 minutes) and the longest consultation time (15 minutes), while Cluster 2 (healthy young adults) is allocated the maximum wait time (55 minutes) and the minimum consultation time (5 minutes). This implementation is expected to optimize patient flow, improve service safety and quality, and serve as a basis for operational decision-making for hospital management.
Co-Authors Al Kautsar Andani Achmad Andani Achmad Andani Achmad Andini D. Achmad Andini Dani Achmad Ansar Suyuti Ardiaty Arief Arif Hidayat Azran Budi Arief Dewiani Dewiani Dewi Djamaluddin Dewiani Dewiani Ejah Umraeni Ejah Umraeni Salam Elyas Palantei Faizal A. Samman Fighi S. Permadi Gassing Gassing Hasniaty Hasniaty Hikmawati . Ida Rachmaniar Ida Rachmaniar S Idris Palantei Ikhlas Kitta Indrabayu Indrabayu Ingrid Nurtanio Ino Sulistiani, Ino Intan Sari Areni Irwan Setiawan Johari Merna Baharuddin Milleneo . Mohamad Ilyas Abas Muh Anshar Muh Anshar Muhammad Hanan Nappu, Muhammad Bachtiar Respaty Namruddin Rhiza S. Sadjad Rhiza S. Sadjad Rhiza S. Sadjat Salama Manjang Samuel Panggalo Tajuddin Waris Wahyudi Hasbi Wardi - Wardi . Wardi Wardi Werna Nontji Yusran Yusran Yusran Zaenab . Zaenab Muslimin Zaenab Muslimin Zulfajri Basri Hasanuddin Zulkifli Tahir