Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method

(1) * Basiroh Basiroh Mail (Teknik Informatika, Universitas Nahdlatul Ulama Al Ghazali, Indonesia)
(2) Priyatno Priyatno Mail (Teknik Informatika, Universitas Nahdlatul Ulama Al Ghazali, Indonesia)
(3) Shahab Wahhab Kareem Mail (Information System Engineering, Erbil Polytechnic University, Iraq)
(4) Heri Nurdiyanto Mail (Teknik Informatika, STMIK Dharma Wacana, Indonesia)
*corresponding author


Nowadays technological developments are increasingly having a positive influence on the development of human life, including in the health sector. One of them is an expert system that can transfer an expert's knowledge into a computer application to simplify and speed up the diagnosis of a disorder or disease in humans. The purpose of this final project is to design an application to diagnose diseases that occur during pregnancy which is caused by the existence of these pregnancies to simplify and speed up the diagnosis of diseases experienced by pregnant women. This study uses the forward chaining method. By involving experts in this expert system analysis according to current needs. Users are given easy access to information on several types of pregnancy disorders and their symptoms, as well as consultation through several questions that the user must answer to find out the results of the diagnosis. While experts are facilitated in system management, both the process of adding, updating and, deleting data.



Article metrics

10.29099/ijair.v5i1.203 Abstract views : 1222 | PDF views : 319




Full Text



I. Astuti, H. Sutarno, and Rasim, “The expert system of children’s digestive tract diseases diagnostic using combination of forward chaining and certainty factor methods,†Proceeding - 2017 3rd Int. Conf. Sci. Inf. Technol. Theory Appl. IT Educ. Ind. Soc. Big Data Era, ICSITech 2017, vol. 2018-Janua, pp. 608–612, 2017.

D. A. Kurniawan, S. W. Sihwi, and Gunarhadi, “An expert system for diagnosing dysgraphia,†Proc. - 2017 2nd Int. Conf. Inf. Technol. Inf. Syst. Electr. Eng. ICITISEE 2017, vol. 2018-Janua, pp. 468–472, 2018.

A. Shrestha, A. Anderson, and D. W. Moore, “Using Point-Of-View Video Modeling and Forward Chaining to Teach a Functional Self-Help Skill to a Child with Autism,†J. Behav. Educ., vol. 22, no. 2, pp. 157–167, 2013.

K. Rukun, B. H. Hayadi, I. Mouludi, A. Lubis, Safril, and Jufri, “Diagnosis of toddler digestion disorder using forward chaining method,†2017 5th Int. Conf. Cyber IT Serv. Manag. CITSM 2017, 2017.

D. A. Prambudi, C. E. Widodo, and A. P. Widodo, “Expert System Application of Forward Chaining and Certainty Factors Method for the Decision of Contraception Tools,†E3S Web Conf., vol. 31, pp. 1–7, 2018.

D. Novaliendry, C. H. Yang, and A. Y. Denno Guara Labukti, “The expert system application for diagnosing human vitamin deficiency through forward chaining method,†Int. Conf. ICT Converg. 2015 Innov. Towar. IoT, 5G, Smart Media Era, ICTC 2015, pp. 53–58, 2015.

B. Basiroh and W. Lestari, “Analysis of Plant Fragaria Xananassa Disease Diagnoses Using Production Rules Base on Expert System,†J. Pilar Nusa Mandiri, vol. 16, no. 1, pp. 25–32, 2020.

W. Uriawan, A. R. Atmadja, M. Irfan, I. Taufik, and N. J. Luhung, “Comparison of Certainty Factor and Forward Chaining for Early Diagnosis of Cats Skin Diseases,†2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. Citsm, pp. 1–7, 2019.

S. R. Erlina Agustina, Istas Pratomo, Adhi Dharma Wibawa, “2017 International Seminar on Intelligent Technology and Its Application (ISITIA) : proceeding : Surabaya, Indonesia, August, 28-29, 2017.,†vol. 2015, pp. 266–270, 2017.

A. S. Pundir and B. Raman, “Dual Deep Learning Model for Image Based Smoke Detection,†Fire Technol., 2019.

m nur hilal Basiroh, “Fakultas Teknik – Universitas Muria Kudus 153,†Pros. SNATIF ke-4 Tahun 2017, no. 2015, pp. 153–160, 2017.

M. A. Korany, H. Mahgoub, O. T. Fahmy, and H. M. Maher, “Application of artificial neural networks for response surface modelling in HPLC method development,†J. Adv. Res., vol. 3, no. 1, pp. 53–63, 2012.

M. Zolnoori, M. H. F. Zarandi, and M. Moin, “Application of intelligent systems in asthma disease: Designing a fuzzy rule-based system for evaluating level of asthma exacerbation,†J. Med. Syst., vol. 36, no. 4, pp. 2071–2083, 2012.

A. Jalalian, S. Mashohor, R. Mahmud, B. Karasfi, M. Iqbal Saripan, and A. R. Ramli, “Computer-Assisted Diagnosis System for Breast Cancer in Computed Tomography Laser Mammography (CTLM),†J. Digit. Imaging, vol. 30, no. 6, pp. 796–811, 2017.

R. Manzke et al., “Automatic segmentation of rotational X-ray images for anatomic intra-procedural surface generation in atrial fibrillation ablation procedures,†IEEE Trans. Med. Imaging, vol. 29, no. 2, pp. 260–272, 2010.

H. Skutkova, M. Vitek, M. Bezdicek, E. Brhelova, and M. Lengerova, “Advanced DNA fingerprint genotyping based on a model developed from real chip electrophoresis data,†J. Adv. Res., vol. 18, pp. 9–18, 2019.

C. J. Huang, M. C. Liu, S. S. Chu, and C. L. Cheng, “Application of machine learning techniques to Web-based intelligent learning diagnosis system,†Proc. - HIS’04 4th Int. Conf. Hybrid Intell. Syst., pp. 242–247, 2005.

A. Badnjevic, L. Gurbeta, and E. Custovic, “An Expert Diagnostic System to Automatically Identify Asthma and Chronic Obstructive Pulmonary Disease in Clinical Settings,†Sci. Rep., vol. 8, no. 1, pp. 1–9, 2018.

E. Eguia, V. Vivirito, A. N. Cobb, H. Janjua, M. Cheung, and P. C. Kuo, “Predictors of Death in Necrotizing Skin and Soft Tissue Infection,†World J. Surg., 2019.

P. Yuanita, H. Zulnaidi, and E. Zakaria, “The effectiveness of Realistic Mathematics Education approach: The role of mathematical representation as mediator between mathematical belief and problem solving,†PLoS One, vol. 13, no. 9, pp. 1–21, 2018.

W. Siler and J. J. Buckley, “Fuzzy Expert Systems and Fuzzy Reasoning,†Fuzzy Expert Syst. Fuzzy Reason., vol. 29, no. Jun, pp. 1–2, 2004.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


The International Journal of Artificial Intelligence Research

Organized by: Departemen Teknik Informatika
Published by: STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung
phone. +62725-7850671
Fax. +62725-7850671


View IJAIR Statcounter

Creative Commons License
This work is licensed under  Creative Commons Attribution-ShareAlike 4.0 International License.