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All Journal Jurnal Komputer, Informasi dan Teknologi Jurnal Komputer Indonesia
Prahasti , Prahasti
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Computer Science & IT Electrical & Electronics Engineering

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An Expert System For Diagnosing Tonsylliti Disease Using Web-Based Forward Chaining Method Ramadiansyah, Feri; Sari , Herlina Latipa; Prahasti , Prahasti
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.787

Abstract

Tonsillitis is inflammation of the palatine tonsils, which are part of the Waldeyer ring. Spread of infection through air borne droplets, hands and kissing. 4,5 Tonsillitis is more common in children aged 5-15 years with a prevalence of bacterial tonsillitis 15-30% in children with throat disorders and 5-15% in adults with throat disorders. The author received data that in the past year there were 63 patients suffering from tonsillitis, both acute and chronic. It can be concluded that every month there are 5-6 people from various regions in Bengkulu Province who suffer from tonsillitis and receive treatment at the Rafflesia Hospital. But the problem in the medical world is an imbalance between patients and doctors. In addition, most people are not medically trained, therefore the author intends to design an "expert system for diagnosing Tonsillitis using a web-based forward chaining method" which can be accessed through http://www.sistempakarfc1.my.id/. This application is expected to be used for the community in early diagnosis as prevention of more severe disease. This system is designed using the PHP programming language and MySQL database, the resulting expert system is able to help patients diagnose Tonsillitis and provide solutions to the disease. From the test results, the results obtained 100% functionality runs according to system requirements. In the system accuracy test carried out at Rafflesia Hospital, a very good accuracy value was obtained, which was 90% of the 10 sample data available.
The Implementation Of The Simple Multi Attribute Rating Technique (SMART) Method In Determining The Candidates Of Social Assistance Recipients In Bajak 1 Village Based On Decision Support System Dari, Erika Dwi Ulan; Yulianti , Liza; Prahasti , Prahasti
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.28

Abstract

Bajak 1 Village is a village located in Taba Penanjung Sub-District of Central Bengkulu and has a large population. In making decisions about social assistance recipients in Bajak 1 village, currently still using the manual method by collecting data from existing residents. problems in decision making and the possibility of people's data being mixed up therefore they are wrong in making decisions. The method that can be used in making decisions for prospective recipients of Social Assistance (Bansos) is the SMART (Simple Multi Attribute Rating Technique) method. The SMART method is a multi-attribute and flexible decision-making technique that can assist the village in making decisions quickly and accurately. To determine prospective recipients of social assistance based on 3 criteria, namely: occupation, income, and number of dependents. Based on these 3 criteria, a Decision Support System was developed using the SMART method. Decision Support System is a computer system that processes data into information and decisions. With the design of a Decision Support System to determine prospective recipients of social assistance using the SMART method, Bajak 1 Village can be assisted in making decisions for prospective recipients of social assistance. .
Co-Authors Dari, Erika Dwi Ulan Herlina Latipa Sari Liza Yulianti Ramadiansyah, Feri