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All Journal ComEngApp : Computer Engineering and Applications Journal Annual Research Seminar CCIT (Creative Communication and Innovative Technology) Journal Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Sriwijaya Journal of Informatics and Applications Jurnal Generic Jurnal Abdimas Maduma
Rizki Kurniati
Universitas Sriwijaya
Humanities Computer Science & IT Education Engineering Environmental Science Social Sciences Other

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Journal : Sriwijaya Journal of Informatics and Applications

 1 
Comparison of Certainty Factor (CF) and Case Based Reasoning (CBR) to Diagnose Infertility in Women Risky Tama Putri; Yunita Yunita; Osvari Arsalan; Rizki Kurniati
Sriwijaya Journal of Informatics and Applications Vol 3, No 1 (2022)
Publisher : Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/sjia.v3i1.28

Abstract

Infertility has now become a terrible and serious problem for women. Limited information about infertility suffered by women makes it difficult for them to predict the disease they are suffering from. Therefore we need an expert system that can predict infertility in women. The methods used in this research are Certainty Factor (CF) and Case Based Reasoning (CBR) methods. Certainty Factor (CF) is one of the techniques used to overcome uncertainty in decision making. Case Based Reasoning (CBR) is a problem solving method by remembering similar events that happened in the past and then using that knowledge or information to solve new problems. Based on the test results using 25 test data, the accuracy of the expert system for diagnosing infertility in women using the Certainty Factor (CF) method is 92%, while the curation of the expert system for diagnosing infertility in women using the Case Based Reasoning (CBR) method is 76%. 
Diagnosing Disease Of Betta Fish Using Fuzzy Logic Sugeno And Forward Chaining Method Pratama, M Wahyu; Utami, Alvi Syahrini; Kurniati, Rizki
Sriwijaya Journal of Informatics and Applications Vol 5, No 2 (2024)
Publisher : Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/sjia.v5i2.87

Abstract

Betta fish are very popular with people of all ages who make betta fish as small and medium businesses who consider betta fish as a business, but betta fish maintenance is quite the opposite. The ease of breeding betta fish and ignorance in caring for good fish can cause death in betta fish caused by various diseases. Therefore, an expert system for diagnosing disease in betta fish was created. In this study the Forward Chaining method was used to diagnose fish disease, while the Fuzzy Sugeno method determined the severity of the disease. The accuracy generated by the system based on tests carried out using 100 data was 93%.
Co-Authors Aditya Aditya Afriansyah, Indra Gifari Ahmad Heryanto Ahmad Zarkasi Akhmad Syahbudi Allsela Meiriza, Allsela Alvi Syahrini Utami Azizatul Istaurina Bhakti Yudho Suprapto Deris Stiawan Desty Rodiah Elin Darnela Ermatita - Fathan, Muhammad Rifqi Fathunnajih Hadipurnawan Satria Huda Ubaya Khairul Rofiah Luh Sri Mulia Eni Muh Fatkhan Muhammad Fachrurrozi Muhammad Qurhanul Rizqie Nasiruddin Novi Yusliani NUR HAMIDAH Osvari Arsalan Passarela, Rossi Pratama, M Wahyu Primanita, Anggina Rahmat Fadli Isnanto Risky Tama Putri Rizki Ramadandi Ruminda Hutagalung Sibawaihi Sibawaihi Siska Qurrota A'yun Siti Nurmaini Sumiarti Tomi Tulus Musthofa Vindriani, Marsella Wahyu Restiafandi Yousnaidi, Rani Silvani Yulinda Ramadhana Yunita Yunita