JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 4 (2022): December

Application of Data Mining Classification C4.5 Patient Satisfaction with Tuan Rondahaim Simalungun Hospital Service

Nadrah Fauziah (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Muhammad Ridwan Lubis (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Bahrudi Efendi Damanik (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
30 Dec 2022

Abstract

The purpose of this study was to produce a measuring instrument for patient satisfaction with hospital services. In order to further improve patient care. The method used in this study is the C4.5 Algorithm, where the data source used is a questionnaire/questionnaire technique which is given a questionnaire to the general public who visit the hospital. The results of this study are expected to provide input to the Tuan Rondahaim Hospital in Simalungun by using the C4.5 Algorithm. This can be done by using a decision tree model or decision tree in the C4.5 algorithm. In this study, the researchers used data from the patients of RSUD Tuan Rondahaim, totaling 105 patients through a questionnaire that the researchers distributed. The variables are Hospital Place (C1), Empathy (C2) and Responsiveness (C3). The testing process of this study uses Rapid Miner software to generate rules and a decision tree model or decision tree that will be used in determining the patient satisfaction factor for Tuan Rondahaim Hospital. The results of this study obtained 14 rules with an accuracy rate of 93.55%.

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...