Penerapan Metode Certainty Factor Dalam Diagnosis Gangguan Depresi


  • Septian Rico Hernawan * Mail Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Hanung Adi Nugroho Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Indriana Hidayah Universitas Gadjah Mada, Yogyakarta, Indonesia
  • (*) Corresponding Author
Keywords: Expert System; Artificial Intelligence; Certainty Factor; Depression

Abstract

Globalization can cause several problems and pressures of mind for both individuals and groups. Various kinds of problems can certainly lead to psychological disorders, one of which is depression. Indonesia itself is one of the countries with a high number of people with depressive disorders. Depressive disorder itself can have many consequences ranging from lack of enthusiasm to even death. Facing these serious problems, the government should be able to address the mental disorder that is currently happening. However, the reality is still far from this. Inadequate infrastructure, equality problems for each region, and shortages of experts are the main problems at this time. The expert system is considered to be a solution in solving these problems. Web-based expert systems can replace the role of experts in the process of initial diagnosis of depressive disorders, patients can also access them easily. The calculation method implemented is the Certainty Factor method. This method is considered suitable in the diagnosis of depression. The implementation of the CF method in the diagnosis of depression can provide a confidence level of up to 94.9%. The expert system is expected to be able to eliminate human errors, speed up the diagnostic process, make it easier for health workers, and provide standards for related parties in handling mental disorders

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Article History
Submitted: 2021-02-04
Published: 2022-02-28
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