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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.
PROTOTYPE KNOWLEDGE MANAGEMENT SYSTEM UNTUK MENINGKATKAN PENYULUHAN KELUARGA BERENCANA BERBASIS ANDROID:STUDI KASUS BADAN PEMBERDAYAAN PEREMPUAN PERLINDUNGAN ANAK DAN KELUARGA BERENCANA KOTA BEKASI Nurdiana Handayani
Jurnal Informatika Vol 1 No 2 (2017): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v1i2.525

Abstract

The management of knowledge (knowledge management) is very important in an institution or organization to acquire and share knowledge (knowledge sharing) in order to develop the human resource potential and manage the company's assets or intellectual institutions, thus becoming close attention of Badan Pemberdayaan Perempuan, Perlindungan Anak dan Keluarga Berencana (BP3AKB) Bekasi. The purpose of this study was to determine the extent of the influence of the knowledge management system of knowledge in the KB extension outreach activities, and building a knowledge management system application that can assist employees in planning extension activities online that can be accessed by android smartphone, which is expected to increase the productivity of employees . The method of this research is descriptive quantitative method which is supported by The Most Admired Knowledge Enterprise (MAKE), and a model of knowledge management system knowledge management system architecture using Amrit Tiwana. The results of this study based on questionnaires to the application of the android-based knowledge management system for employees that are on the 3:40 to 4:19 interval, the average value of the entire statement at 4:00 is well received. Keywords: Knowledge Management, Activity Counseling KB, MAKE, Architecture Knowledge Managemet System Amrit Tiwana, Android application.