Analisis Perbandingan Metode Teorema Bayes dan Certainty Factor Pada Diagnosis Gangguan Kecemasan

Authors

  • Citra Yustitya Gobel Universitas Ichsan Gorontalo, Gorontalo
  • Marlin Lasena Universitas Ichsan Gorontalo Utara, Gorontalo
  • Misrawati Aprilyana Puspa Universitas Ichsan Gorontalo, Gorontalo
  • Siti Andini Utiarahman Universitas Ichsan Gorontalo, Gorontalo

DOI:

https://doi.org/10.30865/mib.v8i3.7683

Keywords:

Expert system, Bayes Theorem, Certainty Factor, Anxiety Disorders

Abstract

Anxiety disorders are a mental health problem that is increasing in prevalence, but the lack of public knowledge about anxiety disorders means that many people are not aware of anxiety disorders, so information technology is needed to understand symptoms and diagnosis using more relevant methods in intelligent systems. Intelligent systems are able to help in analyzing various symptoms and identifying initial diagnosis results with wider accessibility, but the problem of this research is focused on selecting the most effective method for intelligent systems as a basis for clinical data analysis, so in this research we will compare the level of accuracy of applying the method, namely Bayes' theorem and Certanty factor for the diagnosis of anxiety disorders. Bayes' Theorem is a classic statistical approach, offering a structured and measurable framework for calculating the probability of disease based on clinical evidence, while the Certainty Factor is a method for proving the certainty value of a fact in the form of a metric in an intelligent system. The aim of this research is to analyze the performance of the Bayes Theorem method and certainty factor by examining the percentage results obtained by applying the two methods. that the percentage result of the Bayes Theorem calculation method is higher, namely 84%, compared to the percentage result of the certainty factor, namely 70%, so it can be concluded that the application of Bayes' theorem is better than the certainty factor, especially in the diagnosis of people with anxiety disorders.

References

D. J. P. Kesehatan, “Kemenkes Beberkan Masalah Permasalahan Kesehatan Jiwa di Indonesia. Sehat Negeriku.,†2021.

N. E. Saragih and R. Adawiyah, “Penerapan Metode Dempster Shafer Untuk Sistem Deteksi Gangguan Kecemasan Obsessive Compulsive Disorder Berbasis Web,†J. Media Inform. Budidarma, vol. 5, no. 1, p. 48, 2021.

A. S. Hendi Suhendi, “Sistem Pakar Diagnosa Gangguan Kecemasan Menggunakan Metode Certainty Factorberbasiswebsite,†NARATIF(Jurnal Ilm. Nas. Ris. Apl. dan Tek. Inform., vol. Vol. 02 No, no. P-ISSN: 2656-7377, 2020.

C. Indra Angkat, I. M. Sianturi, S. Hartono Sinambela, M. Iqbal, and R. Farta Wijaya, “Sistem Pakar Diagnosa Rheumatoid Arthritis dengan Menerapkan Algoritma Teorema Bayes,†J. Ilmu Komput. dan Sist. Inf., vol. 7, no. 1, pp. 08–15, 2024.

J. Veri, N. Pratama, and Z. Rosha, “Model Implementasi Sistem Informasi Penilaian Kinerja (EKinerja),†J. Ekobistek, vol. 11, no. 3, pp. 7–12, 2022.

T. Theodoridis and J. Kraemer, Aarsitektur Sistem Pakar. 2021.

M. Mustaqim, G. Rakasiwi, and ..., “Perbandingan Metode Dempster Shafer Dan Teorema Bayes Untuk Mendeteksi Penyakit Ensefalitis,†J. Media …, vol. 8, pp. 546–554, 2024.

D. A. Sari and S. Ramadani, “Expert System of Diseases of the Female Childbearing Period Using Bayes ’ Theorem,†vol. 2, no. November, pp. 157–172, 2023.

A. Wenda, S. Saludin, S. N. Alam, and ..., “Penerapan Algoritma Certainty Factor pada Sistem Pakar Diagnosis Penyakit Creutzfeldt-Jakob Disease,†J. Media …, vol. 7, no. April, pp. 626–631, 2023.

P. J. Oktaviani and A. Meizar, “Jurnal InSeDS ( Information System and Data Science ) Penerapan Metode Teorema Bayes dan Certainty Factor Untuk Menentukan Penyakit Mers , Sars dan Covid 19,†vol. 2, no. 1, 2023.

A. Al Ghifari, A. Saputra, A. N. Qalbani, and G. N. Dwiansyah, “Sistem Pakar Dalam Menganalisis Gangguan Kejiwaan Menggunakan Metode Certainty Factor,†vol. 01, no. 01, pp. 1–5, 2023.

Y. Reswan and Rulisman, “Analisis Perbandingan Algoritma Certainty Factor Dan Algoritma Naive Bayes Dalam Mendiagnosa Penyakit Katarak,†J. Innov. Informatics(Jii), vol. 1, no. 3, pp. 170–175, 2022.

A. S. Ashidiqi, I. Widaningrum, and J. Karaman, “Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood,†INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 7, no. 1, pp. 18–32, 2023.

I. F. Ashari and V. Adhelia, “Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor,†MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 21, no. 2, pp. 451–462, 2022.

R. Ridlo, A. Hakim, A. Pangestu, and A. Jaenul, “Penerapan Metode Certainty Factor dengan Tingkat Kepercayaan pada Sistem,†vol. 2, no. July, pp. 29–37, 2021.

I. P. F, S. Emalia, and A. Iskandar, “Analisa Perbandingan Metode Teorema Bayes dan Case Based Reasoning dalam Mendeteksi Penyakit Polymyalgia Rheumatica,†vol. 4, no. 4, pp. 2244–2252, 2024.

B. Triaji, I. Rusydi, I. Mariami, and A. H. Nasyuha, “Analisis Perbandingan Teorema Bayes dan Case Based Reasoning Dalam Diagnosis Penyakit Myasthenia Gravis,†vol. 7, pp. 1342–1351, 2023.

A. Pujianto, R. Wardhana, A. Sidauruk, and R. Andriani, “Expert System for Pineapple Fruit Diseases Using Bayes ’ Theorem,†vol. 7, pp. 1531–1540, 2023.

M. Hutasuhut, T. Tugiono, and A. H. Nasyuha, “Analisis Aritmia (Gangguan Irama Jantung) Menerapkan Metode Certainty Factor,†J. Media Inform. Budidarma, vol. 5, no. 4, p. 1386, 2021.

S. Sitio, F. A. Sianturi, and A. S. Sitio, “Implementasi Metode Certainty Factor dalam Mengetahui Kerusakan Sepeda Motor Type Injeksi( Arjon Implementasi Metode Certainty Factor dalam Mengetahui Kerusakan Sepeda Motor Type Injeksi,†J. Sains dan Teknol., vol. 3, no. 1, pp. 1–7, 2021.

Ulfi Putra Sany, “‘Gangguan Kecemasan dan Depresi Menurut Perspektif Al Qur’an.’ Syntax Literate; Jurnal Ilmiah Indonesia 7.1,†J. Ilm. Indones., no. February, pp. 1262–1278, 2022.

D. Eridani, M. Rifki, and R. Isnanto, “Edu komputika journal sistem pakar pendiagnosis gangguan kecemasan menggunakan metode forward chaining berbasis android,†Edu Komputika, vol. 5, no. 1, p. 2, 2018.

K. S. Muhammad, A. S. Fitrani, and H. Setiawan, “Sistem pakar diagnosa gangguan kecemasan (anxiety disorder) menggunakan metode forward chaining 1.,†vol. 9, no. 1, pp. 194–207, 2024.

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Published

2024-07-26

Issue

Vol. 8 No. 3 (2024): Juli 2024

Section

Articles

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