Analisis Penyakit Gigi Molar dengan Menggunakan Metode Forward Chaining

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Khairul Fajri Ilahi


Molar teeth or what are often referred to as molars are the teeth that are most often used in the process of digesting food before it enters the stomach. This also makes molar teeth one of the most common diseases suffered by the community. This is also accompanied by low public knowledge about molar teeth. The number of people who suffer from molar tooth disease is not proportional to the availability of dental experts, causing all patients who want to diagnose their disease to be unserved. The method used in this research is the Forward Chaining method. The purpose of this study was to test the Forward Chaining method in analyzing molar disease and provide an initial diagnosis of molar disease so that the diagnosis generated by the system can be used as a reference for consultation with a dentist. The data used in this study were data on symptoms and diseases of molar teeth taken from the Munggu Dental Care dental clinic, the data obtained in the form of 29 symptom data and 7 data on molar tooth disease. The data obtained is then processed using the Forward Chaining inference method or search from the front. Then the patient will be asked to choose the symptoms they feel and the system will diagnose the patient's disease based on the symptoms entered by the patient. The data that enters the system will then be matched with the existing rules in the database so that an initial diagnosis will be generated. The result of this research is the Forward Chaining method designed with the PHP programming language using the Codeigniter framework is able to analyze diseases of the molar teeth very accurately. Therefore, this research can be used as a reference for further research and the resulting expert system can be used by users who want to diagnose molar tooth disease before going to the dentist

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How to Cite
Ilahi, K. F. (2023). Analisis Penyakit Gigi Molar dengan Menggunakan Metode Forward Chaining. Jurnal Informasi Dan Teknologi, 5(1), 25-31.


Ishaq, A., Nugraheni, H., Al Kaafi, A., Rahmawati, E., Iriadi, N., & Sumbaryadi, A. (2020). Perancangan Sistem Pakar Penyakit Gigi Menggunakan Metode Forward Chaining Pada Klinik Pratama Condet. Paradigma - Jurnal Komputer Dan Informatika, 22(1), 25–32.
Bruce, D., Dudding, T., Gormley, M., Richmond, R. C., & Haworth, S. (2022). An observational analysis of risk factors associated with symptomatic third molar teeth. Wellcome Open Research, 7, 71.
Kaye, E., Heaton, B., Aljoghaiman, E. A., Singhal, A., Sohn, W., & Garcia, R. I. (2021). Third-Molar Status and Risk of Loss of Adjacent Second Molars. Journal of Dental Research, 100(7), 700–705.
Kristiani, L. N., Nugroho, E. W., & Widiantoro, A. D. (2022). Comparison of Forward Chaining and Hill Climbing Methods in Blood Disease Diagnosis Expert Systems. Journal of Business and Technology, 1(3), 82–89.
Syawitri, A., Defit, S., & Nurcahyo, G. W. (2018). Diagnosis Penyakit Gigi dan Mulut Dengan Metode Forward Chaining. Jurnal Sains, Teknologi Dan Industri, 16(1), 24.
Battineni, G., & Amenta, F. (2020). Designing of an Expert system for the management of Seafarer’s health. Digital Health, 6, 205520762097624.
Cahyaningsih, S., Triayudi, A., & Sholihati, I. D. (2021). Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android. Jurnal Media Informatika Budidarma, 5(1), 74.
Sivaram, M., Bazeer Ahamed, B., Yuvaraj, D., Manikandan, V., Karlus, N. G., Sitanggang, A. S., Latif, A. A., & Maseleno, A. (2019). Expert System in Determining the Quality of Superior Gourami Seed Using Forward Chaining-Based Websites. In Communications in Computer and Information Science (Vol. 985, pp. 310–321). Springer Singapore.
Yansyah, I. R., & Sumijan, S. (2021). Sistem Pakar Metode Forward Chaining untuk Mengukur Keparahan Penyakit Gigi dan Mulut. Jurnal Sistim Informasi Dan Teknologi, 3, 41–47.
Basiroh, B., & Kareem, S. W. (2021). Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method. International Journal of Artificial Intelligence Research, 5(1), 44–52.
Paryati, & Krit, S. (2022). Expert System for Early Detection and Diagnosis of Central Nervous Diseases in Humans with Forward Chaining and Backward Chaining Methods Using Interactive Multimedia. ITM Web of Conferences, 43(The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE’2022)), 01016.
Filetus, A., Raymond, R., Octavia, P. F., & Agung, H. (2021). Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm. CCIT Journal, 14(1), 92–99.
Ramadhan, R. N., & Suprianto. (2022). Expert System to Diagnose Soil and Plant Types According to The Web-Based Forward Chaining Method. Procedia of Engineering and Life Science, 2(1), 2–8.
Pamungkas, B. A., Voutama, A., Sari, B. N., & Susilawati, S. (2021). Sistem Pakar Deteksi Dini HIV/AIDS Dengan Metode Forward Chaining Dan Certainty Factor. INTECOMS: Journal of Information Technology and Computer Science, 4(1), 120–130.
Hastuti, Maria, E., & Franz, A. (2022). Expert System for Identifying Weeds on Oil Palm Plantations Using a Web Based Forward Chaining and Dempster Shafer Method. Tepian, 3(1), 41–48.
Tanazri, P. D. Kusuma and C. Setianingsih. (2021). "Detection of Pterygium Disease Using Hough Transform and Forward Chaining," 2021 1st International Conference On Cyber Management And Engineering (CyMaEn), 2021, pp. 1-6, doi: