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All Journal Proceeding SENDI_U Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Jurnal Informatika Universitas Pamulang Jurnal Telematika Jurnal Riset Informatika Building of Informatics, Technology and Science Jurnal Dinamika UMT JURNAL TEKNIK JIKA (Jurnal Informatika) Jurnal Inovasi Informatika Journal Social Science And Technology For Community Service Insearch: Information System Research Journal Jurnal Keuangan dan Akuntansi Terapan (KUAT)
Destriana, Rachmat
Universitas Muhammadiyah Tangerang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Riset Informatika

 1 
IMPLEMENTATION OF CERTAINTY FACTOR IN AN EXPERT SYSTEM FOR DIAGNOSING ORAL CANCER Nurhasan Nugroho; Nurdiana Handayani; Rachmat Destriana; Tia Ernawati
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (813.994 KB) | DOI: 10.34288/jri.v4i1.294

Abstract

Oral cancer or oral cavity cancer is cancer that attacks the epithelial tissue of the oral mucosa. Cancer is a disease with a high mortality rate. Therefore, it is very important to be able to provide knowledge assistance to people who are still quite low in knowledge about cancer, especially oral cancer. One way to help diagnose disease is to use an expert system. In this study, an expert system application was developed to diagnose oral cancer based on symptoms and produce a diagnosis and treatment solution. The expert system developed using the certainty factor algorithm (CF). Where is able to overcome uncertainty by providing a value level of trust from experts and users. From the results of the accuracy test, it shows a value of 87%, so the system can function properly.
IMPLEMENTATION OF CERTAINTY FACTOR IN AN EXPERT SYSTEM FOR DIAGNOSING ORAL CANCER Nurhasan Nugroho; Nurdiana Handayani; Rachmat Destriana; Tia Ernawati
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i1.141

Abstract

Oral cancer or oral cavity cancer is cancer that attacks the epithelial tissue of the oral mucosa. Cancer is a disease with a high mortality rate. So, it is very important to be able to provide information to the public about oral cancer. One way to help diagnose disease is to use an expert system. In this study, an expert system application was developed to diagnose oral cancer based on symptoms and produce a diagnosis and treatment solution. The expert system developed using the certainty factor algorithm (CF). Where is able to overcome uncertainty by providing a value level of trust from experts and users. From the results of the accuracy test, it shows a value of 87%, so the system can function properly.
Co-Authors Aditya Prayoga Suyitno Aditya Tegar Siswanto Alexander, Allan D Alfry Aristo Jansen Sinlae Algadri, Wulandari Angga Aditya Permana Asep Suhendar Atmojo, Wahyu Tisno Bintang Eka Suryana Dedy Alamsyah Denis Chandra Prabowo DESI NURNANINGSIH Desi nurnaningsih Desi Nurnaningsih Desy Nurnaningsih Dirgahayu Erri Djamaludin Syahlan Mubaroq3 Dyas Yudi Priyanggodo Figo Rachel Hengki Rusdianto Herdiansah, Arief Hidayatullah, M. Fajri Indra Nanda Jordy Lasmana Putra Jully Triansyah Liesnaningsih Liesnaningsih Liesnaningsih Liesnaningsih Mayatopani, Hendra Nora Fitriawati Nurdiana Handayani Nurhasan Nugroho Paweloi, Fatahillah Prastyawan, Bayu Enggar Reynaldy, Deva Alfian RIFQI RIADHI Rina Pratiwi Pudja I. A Rini Nuraini Rochmat Taufiq Rohmat Taufiq Rusdianto, Hengki Sofian Sidiq Syepry Maulana Husain Tamam, Gusti Syihabuddin Taufiq, Rochmat Tia Ernawati Umar Darmawan Yani Sugiyani Yanuardi Yanuardi Yeni Daniarti