Implementation of the C4.5 Algorithm in Predicting the Number of Outpatient Visits Using JKN-KIS at Noongan Hospital

Authors

  • Liza Wikarsa Universitas Katolik De La Salle Manado http://orcid.org/0000-0002-7842-161X
  • Vivie Deyby Kumenap Universitas Katolik De La Salle Manado
  • Kevin Kristi Toar Universitas Katolik De La Salle Manado

DOI:

https://doi.org/10.31154/cogito.v8i1.351.13-24

Abstract

 Since 2013, the government has issued the National Health Insurance (JKN) program through the Social Security and Health Administration (BPJS Kesehatan) to provide social and health insurance services. JKN participants will get a Healthy Indonesia Card (KIS) to ease the burden of medical expenses at the hospital. During the pandemic of Covid-19, Noongan Hospital was included as one of the referral hospitals for COVID-19 patients for nearby hospitals and health centers with a coverage of the Southeast Minahasa district, North Sulawesi. Noticeably, 70% of its patients use the JKN-KIS card to get health treatments and more than half the number of patients are outpatients. To anticipate the number of outpatients visits using JKN-KIS, a web-based application was built to generate a predictive model using the C4.5 algorithm. The performance of this predictive model has a classification accuracy of 91,7% and both precision and recall of 95%. The number of outpatient visits using JKN-NIS has increased by 83,33% since the pandemic of Covid-19. Examination flow, medical check-up, queue length, doctor’s expertise, and health treatment objectives are the most influencing factors for outpatient visits. This predictive model provides future insights for the hospital management to rationally allocate healthcare resources and improve the efficiency of outpatient services. Keywords—3 Health Treatments, C4.5 Algorithm, Prediction, Covid-19

Author Biographies

Liza Wikarsa, Universitas Katolik De La Salle Manado

Informatics Engineering Study ProgramFaculty of Engineering

Vivie Deyby Kumenap, Universitas Katolik De La Salle Manado

Informatics Engineering Study ProgramFaculty of Engineering

Kevin Kristi Toar, Universitas Katolik De La Salle Manado

Informatics Engineering Study ProgramFaculty of Engineering

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Published

2022-06-19