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Journal : Jurnal Riset Informatika

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 ., Rusliyawati Ahmad Mukhlis, Ahmad Ahmad Munawir Ajeng Eka Nurkholifah Alexander, Allan D Alfry Aristo Jansen Sinlae Ali Rohman Alita, Debby Anita Nurjanah Anita Wulandari Anton Nasrullah, Anton Asnawi Asnawi Ayang Fristia Maulana Badaruddin, Muliati Badruzzaman, Ahmad Jibril Basrowi Basrowi Beni Junedi Desma Yuliadi Saputra Destriana, Rachmat Eka Fitriani Ema Utami Emha Taufiq Luthfi Endang Purwaningsih Endang Purwaningsih Eva Muti’ah Faiz Muqorrir Kaaffah Fajar Budi Hartono Febsi, Yania Fernando, Yusra Fitrianti, Rizqi Fryda Fatmayati Gusri Adithama Hadi Kurniawanto Handayani, Nurdiana Handika, H Harriansyah, Harriansyah Harsono, Pram Hendro Joko Prasetyo Heriyani, Nofitri Ibnu Sina Imam Ahmad Ismail, Rima Ruktiari Isnaini Jaka Wijaya Kusuma Jamaludin . Joniwarta Junedi, Beni Juwita Juwita Lestari, Ova Mahuda, Isnaini Marnini Maulana, Yozi Heru Meilisa, Ranny Mochamad Novel Munawawaroh, Munawawaroh Munawir, Ahmad Mutiani, Arya Rahma Nanda, Indra Nedi Kurnaedi Novita Sari Nunik Yudaningsih Nurdiana Handayani Nurhalizah, Siti nurnaningsih, Desi Pratama, Gelard Untirtha Pratama, Gerald Untirtha Putro, Yogi Purnomo Raden Akhmad Atqoo Ramadhan, Idrus Ratnasari, Silvia Riduwan Napianto Rina Andriani Rini Nuraini Riyadi, Muhamad Adytya Wiguna Rohmat Indra Borman Rudi Setiawan Sinaga, Agus Pitauli Siregar, Juarni Suflani Suhandi Suhandi, Suhandi Sulastri, Winda Sumyati, Mirna Tanniewa, Adam M Tia Ernawati Tonggiroh, Mursalim Udin Suadma Ujang Hibar Ulfi Jefri Umalihayati Umalihayati Wahyu Ariya Saputra Wahyudin Wahyudin Widia Arfianto Wijaya, Hamid Yuri Rahmanto