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All Journal Jurnal Real Riset
Azhar Azhar
Jurusan Teknologi Informasi Dan Komputer Politeknik Negeri Lhokseumawe
Agriculture, Biological Sciences & Forestry Computer Science & IT Education Environmental Science Social Sciences

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SISTEM DIAGNOSA PENYAKIT CORONA DENGAN METODE CASE-BASED REASONING DAN CERTAINTY FACTOR Hendrawaty Hendrawaty; Alfiya Zahara; Azhar Azhar
Jurnal Real Riset Vol 4, No 2 (2022): Juni 2022
Publisher : Jurnal Real Riset

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Abstract

Expert systems are part of a general category of computers known as intelligence.Created an expert system to work on a particular domain. In artificialintelligence, an expertsystem is a computersystemthat imitates the decision-making abilities of humans who are experts in theirfields. The main thrust of artificial intelligence is in developing, solving problems,to build a knowledge-based system in the specific medical field in the domain toaim at diagnosing Covid-19 through the application of an expert system in theform of symptom input. This has prompted the creation of an expert system for diagnosing Covid 19 using the Case Base Reasoning and Certainty Factormethods based on the Responsive Web. The Certanty Factor method is used tofind the certainty value of the disease by calculating the probability value of thedisease symptoms and Case Based Reasoning to find the similarity value of thedisease with the previous case. Based on the calculation results, the expert systemcan be used for early diagnosis of the disease. The result of this study is that thesystem can assist experts in diagnosing Covid-19 disease based on the results ofsystem testing through surveys by conducting interviews with Covid-19 experts.This study also tested the software using the Black Box method.Keywords : casebased reasoning, certainty factor, covid-19,expert system
RANCANG BANGUN APLIKASI DATA BUKU DAN TOKO BUKU DENGAN METODE LOCATION-BASED SERVICE BERBASIS ANDROID Azhar Azhar
Jurnal Real Riset Vol 4, No 2 (2022): Juni 2022
Publisher : Jurnal Real Riset

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Abstract

This system is one of the online bookstore system that sells various categories of books, whose products are sourced from several suppliers. Bookstores located in Lhokseumawe have difficulty in disseminating product information. This research focus to Designing Data Book Apps And Bookstores Based on Location Based Service Methods and Android has a problem formula for how to design and build book-logging apps and bookstores. The purpose of this research is to make the app as a product promotion medium for booksellers and to provide nearby bookstore information for people from out of town by using. This research uses location based service methods. The data sources used are primary and secondary data from Google Maps. Based on the testing conducted, it is obtained the conclusion that users of this system do not have to have a physical store to sell books, and for bookstore seekers must enable GPS to locate the starting point to the nearest bookstore location point.Keywords : Bookstores, Location Based Service
Co-Authors Alfiya Zahara Hendrawaty