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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Computer Science and Informatics Engineering
Muhammad Sowban Adilla
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : journal of computer science and informatics engineering

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Patient Visit Prediction Using the C5.0 Algorithm at Regina Maris Hospital Muhammad Sowban Adilla; Rakhmat Kurniawan R; Raissa Amanda Putri
Journal of Computer Science and Informatics Engineering Vol 5 No 2 (2026): April
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i2.1670

Abstract

The increasing number of patient visits demands hospital readiness in providing facilities and supporting infrastructure for healthcare services, especially in planning drug needs and medical services. Inappropriate planning can lead to a mismatch between the number of patients and the availability of resources. Therefore, a patient visit prediction system is needed that can assist hospitals in decision-making. This study aims to predict patient visits at Regina Maris Hospital Medan to support service planning and improve patient satisfaction. The method used is data mining by applying the C5.0 algorithm as a classification method. Patient visit data is processed to produce a prediction model in the form of a decision tree and rules. The results show that the C5.0 algorithm is able to produce an accuracy rate of 71% in predicting patient visits. Thus, the system developed can be used as a recommendation tool for hospitals in preparing service needs, especially related to drug management and other supporting facilities.
Co-Authors Raissa Amanda Putri Rakhmat Kurniawan R Samsul Bahri Siagian