Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Basic and Applied Science Journal Basic Science and Technology
Sandi Manalu
STMIK Pelita Nusantara
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Expert System for Identification of Diseases of Toddlers using Bayes' Theorem Method Sandi Manalu
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.9

Abstract

The disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about toddlers' illnesses as well as the symptoms experienced frighten parents. Information needs that are very fast from an expert to deal with problems or diseases of children under five expected by parents or the community. So that is what drives the development of a software application, namely the expert system for identification of children under five. An expert system for identification of toddlers is made as a tool to diagnose diseases experienced by children under five by using the symptoms experienced by children under five as a tool to detect diseases experienced by children under five. The system can identify 5 types of diseases with 23 symptoms of the disease. This expert system uses methods for developing problem identification, system design, implementation, and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft access as the database. The results of the consultation with this system indicate that the system is able to determine the disease and treatment solutions and the initial treatment that must be done, based on the symptoms previously chosen by the user.
Expert System for Identification of Diseases of Toddlers using Bayes' Theorem Method Sandi Manalu
Journal Basic Science and Technology Vol 10 No 1 (2021): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.938 KB)

Abstract

The disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about toddlers' illnesses as well as the symptoms experienced frighten parents. Information needs that are very fast from an expert to deal with problems or diseases of children under five expected by parents or the community. So that is what drives the development of a software application, namely the expert system for identification of children under five. An expert system for identification of toddlers is made as a tool to diagnose diseases experienced by children under five by using the symptoms experienced by children under five as a tool to detect diseases experienced by children under five. The system can identify 5 types of diseases with 23 symptoms of the disease. This expert system uses methods for developing problem identification, system design, implementation, and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft access as the database. The results of the consultation with this system indicate that the system is able to determine the disease and treatment solutions and the initial treatment that must be done, based on the symptoms previously chosen by the user.
Co-Authors