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The Expert System uses the Certainty Factor (CF) Method to Detect the Level of Postpartum Depression

by Muhammad Zulfadhilah, Novalia Widiya Ningrum
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 33
Year of Publication: 2024
Authors: Muhammad Zulfadhilah, Novalia Widiya Ningrum
10.5120/ijca2024923895

Muhammad Zulfadhilah, Novalia Widiya Ningrum . The Expert System uses the Certainty Factor (CF) Method to Detect the Level of Postpartum Depression. International Journal of Computer Applications. 186, 33 ( Aug 2024), 25-31. DOI=10.5120/ijca2024923895

@article{ 10.5120/ijca2024923895,
author = { Muhammad Zulfadhilah, Novalia Widiya Ningrum },
title = { The Expert System uses the Certainty Factor (CF) Method to Detect the Level of Postpartum Depression },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2024 },
volume = { 186 },
number = { 33 },
month = { Aug },
year = { 2024 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number33/the-expert-system-uses-the-certainty-factor-cf-method-to-detect-the-level-of-postpartum-depression/ },
doi = { 10.5120/ijca2024923895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-08-11T02:24:58.549770+05:30
%A Muhammad Zulfadhilah
%A Novalia Widiya Ningrum
%T The Expert System uses the Certainty Factor (CF) Method to Detect the Level of Postpartum Depression
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 33
%P 25-31
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Currently, there are technological advances that are able to detect various diseases and psychological disorders in humans early. One of the innovations in the health sector is the existence of an expert system that utilizes expert knowledge to assist in the early diagnosis of a disease or disorder, both physical and psychological. In the research carried out, data was collected through interviews, observations and studies of relevant literature related to postnatal psychological disorders. At this stage the researcher involved experts as experts, namely a midwife. Postpartum psychological disorders are categorized into three levels of disorders: Post Partum Blues, Post Partum Depression, and Post Partum Psychosis. Data on symptoms of this disorder was obtained through data collection activities, especially from the practice experience of midwives. The collected data will be processed to facilitate manual testing of the methods used. Application development follows the System Development Life Cycle (SDLC) model, specifically the waterfall method, which follows a systematic sequential approach to software development. The main stages in the waterfall method include requirements analysis, system design, system implementation, and system testing. Implementation of the expert system application will use the Certainty Factor (CF) method.

References
  1. M. Zulfadhilah, “Sistem Pakar Untuk Diagnosa Gangguan Psikologis Anak Dengan Algoritma Breadth First Search (BFS),” JITEKH, vol. 7, no. 1, pp. 15–22, 2019.
  2. I. Gede, P. Suta Wijaya, H. Mulyana, H. Kadriyan, D. Yudhanto, and R. Y. Fa’rifah, “The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices,” JOIV : Int. J. Inform. Visualization, vol. 7, no. 1, pp. 84–91, 2023, [Online]. Available: www.joiv.org/index.php/joiv
  3. A. Rahmadhani, F. Fauziah, and A. Aningsih, “Sistem Pakar Deteksi Dini Kesehatan Mental Menggunakan Metode Dempster-Shafer,” Sisfotenika, vol. 10, no. 1, p. 37, 2020, doi: 10.30700/jst.v10i1.747.
  4. R. A. Sari, “Literature Review: Depresi Postpartum,” Jurnal Kesehatan, vol. 11, no. 1, pp. 167–174, 2020, doi: 10.26630/jk.v11i1.1586.
  5. I. Y. Panessai, Arsitektur Sistem Pakar. Batam: PT. LAMINTANG, 2021.
  6. Y. Permana, I. G. P. S. Wijaya, and F. Bimantoro, “Sistem Pakar Diagnosa Penyakit Mata Menggunakan Metode Certainty Factor Berbasis Android,” Journal of Computer Science and Informatics Engineering (J-Cosine), vol. 1, no. 1, p. 1, 2018, doi: 10.29303/jcosine.v1i1.11.
  7. N. Othman, N. Arbaiy, and H. Mohd Rahman, “An Expert System for Pneumococcal Prognosis,” JOIV : Int. J. Inform. Visualization, vol. 3, no. 2, pp. 204–208, 2018.
  8. S. Febriani and H. Sulistiani, “ANALISIS DATA HASIL DIAGNOSA UNTUK KLASIFIKASI GANGGUAN KEPRIBADIAN MENGGUNAKAN ALGORITMA C4.5,” Jurnal Teknologi dan Sistem Informasi (JTSI), vol. 2, no. 4, pp. 89–95, 2021.
  9. A. Andriani, A. Meyliana, Sardiarinto, W. E. Susanto, and Supriyanta, “Certainty Factors in Expert System to Diagnose Disease of Chili Plants,” in 2018 6th International Conference on Cyber and IT Service Management, CITSM 2018, Institute of Electrical and Electronics Engineers Inc., Mar. 2019. doi: 10.1109/CITSM.2018.8674264.
  10. S. Chandra, Y. Yunus, and S. Sumijan, “Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan,” Jurnal Informasi dan Teknologi, vol. 2, no. 4, pp. 105–111, Dec. 2020, doi: 10.37034/jidt.v2i4.70.
  11. Z. Panjaitan and R. I. Ginting, “Perbandingan Metode Certainty Factor dan Theorema Bayes dalam Mendiagnosa Penyakit Kandidiasis pada Manusia Menggunakan Metode Perbandingan Eksponensial,” vol. 5, no. 3, pp. 1097–1106, 2021, doi: 10.30865/mib.v5i3.3078.
  12. I. Efendi, R. K. Niswatin, and I. N. Farida, “Penerapan Metode Certainty Factor Untuk Sistem Pakar Diagnosa Penyakit Burung Puyuh Berbasis Web,” in Seminar Nasional Inovasi Teknologi, Kediri: UN PGRI Kediri, Jul. 2020, pp. 1–10.
  13. A. K. Suhendar, “Sistem Pakar Diagnosa Kerusakan Mesin Robot Take Out Menggunakan Metode Forward Chaining Dan Penelusuran Depth First Search ( Studi Kasus : Pt. Dynaplast),” J Chem Inf Model, vol. 110, no. 9, pp. 1689–1699, 2020.
  14. Minarni and I. Warman, “Sistem Pakar Identifikasi Penyakit Tanaman Padi Menggunakan Case-Based Reasoning,” Seminar Nasional Aplikasi Teknologi Informasi (SNATi), pp. 28–32, 2017.
  15. T. Hidayat, H. N. Nasution, S. W. R. Nasution, and R. Fauzi, “SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT LUPUS DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR,” Jurnal Education and Development, vol. 7, no. 3, pp. 114–117, 2019, doi: 10.37081/ed.v7i3.1201.
  16. A. H. Aji, M. T. Furqon, and A. W. Widodo, “Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor ( CF ),” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 5, pp. 2127–2134, 2018, [Online]. Available: http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1556
  17. P. Sari Ramadhan and U. Fatimah Sitorus Pane, “Analisis Perbandingan Metode (Certainty Factor, Dempster Shafer dan Teorema Bayes ) untuk Mendiagnosa Penyakit Inflamasi Dermatitis Imun pada Anak,” Sains dan Komputer (SAINTIKOM), vol. 17, no. 2, pp. 151–157, Aug. 2018, doi: 10.53513/jis.v17i2.38.
  18. N. Ratama, “Analisa Dan Perbandingan Sistem Aplikasi Diagnosa Penyakit Asma Dengan Algoritma Certainty Factor Dan Algoritma Decision Tree Berbasis Android,” Jurnal Informatika: Jurnal Pengembangan IT, vol. 3, no. 2, pp. 177–183, 2018, doi: 10.30591/jpit.v3i2.848.
Index Terms

Computer Science
Information Sciences

Keywords

Certainty Factor Expert System Postpartum Psychological

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