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Journal : International Journal of Engineering, Science and Information Technology

Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method Syahrizal Dwi Putra; M Bahrul Ulum; Diah Aryani
International Journal of Engineering, Science and Information Technology Vol 1, No 4 (2021)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.887 KB) | DOI: 10.52088/ijesty.v1i4.177

Abstract

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.
Co-Authors Adaafi'ah, Yasinta Addaafi’ah, Yasinta Ade Setiadi Adnandi, M Arba Adrian Adrian Ahmad Fathurrozi Aji Setiawan Akbar, Habibullah Andreansyah, Tedy Ari Asmawati Ari Pambudi Arnas, Dio Hartawan Ary Budi Warsito, Ary Budi Asianto, Andriyanti Bashir, Pandu Bayu Sulistiyanto Ipung Sutejo Budi Tjahjono Damayanti, Prisila Delio, Ferdinand Defin Endi Rekarti, Endi Fannya, Puteri Fatonah, Nenden Siti Fifit Alfiah Fredy Susanto Gaol, Lasando Lumban H. Haris H. Haris Hani Dewi Ariessanti Harahap, Eka Purnama Haris Haris ., Haris Harlinda Syofyan Hendrian Hendrian Hendrian, Hendrian Herwanto, Agus Ichwani, Arief Ichyan Holilan Ilamsyah Ilamsyah Indri Handayani, Indri Ira Tyas Ningrum Izza Ilma Insyifani Jefry Sunupurwa Asri Kurnia, Rafi Zhafar Kusmawan, Dicky Luri Sesy Apriyani Malabay ., Malabay Malabay Malabay Manurung, Jhordy Noverdian Mariyana Widiastuti Martino Wibowo Martono, Aris Mohamad Yusuf Mohammed Al-shammari, Marwan Kadhim Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhamad Yusup Noviandi Noviandi Noviandi Noviandi, Noviandi Po Abas Sunarya Purnomo, Yunianto Putra, Syahrizal Dwi Putri, Dian Mustika Qurotul Aini Ramadhan, Kresna Ratna Dewi Ratnawati Susanto RR. Ella Evrita Hestiandari Ruli Supriati, Ruli Sabar Sukarno Sakina Nusarifa Tantri Saputra, Mochamad Adi Setiadi, Ade Shine Pintor Siolemba Patiro Sigit Santoso Siti Maesaroh STMIK, Author Super Sudaryono Sudaryono Sugeng Santoso Suhandi Junaedi Suharti, Dwi Sloria Sunarto, Ronald Nur Supriyono, Ignatius Agus Suryana, Endang Sutanto, Imam Syafnidawati, Syafnidawati Syahrizal Dwi Putra Syahrizal Dwi Putra Syahrizal Dwi Putra Syahrizal Dwi Putra Tiara Fanny Eldiana Ulum, M. Bahrul Untung Rahardja Verdi Yasin Wahyu, Sawali Widiarso, Rafif Tri Willi Kornellius Yaya Sudarya Triana Yose Amelia, Sabrina Yulhendri Yulhendri