Nina Sevani
Universitas Kristen Krida Wacana – Jakarta Barat

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Journal : ComTech: Computer, Mathematics and Engineering Applications

Web-Based Expert System to Detect Stress on College Students Persulessy, Grensya Bella Vega; Pratama, Nova S; Setiawan, Novianti; Sevani, Nina
ComTech: Computer, Mathematics and Engineering Applications Vol 10, No 1 (2019): ComTech (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v10i1.4987

Abstract

This research aimed to make the application to detect stress for the college students. By early detecting stress on college students, it could help them to cope with their stress and avoid the negative impact of the stress. The Holmes-Rahe Readjustment Rating Scale was used to detect stress based on student’s life events. Each event had its score. There were 31 questions provided by the system. The final score would conclude the stress categories. Using the Forward Chaining Inference Engine, the system would collect the fact of the student’s life and give the result by accumulating scores on questions posed to the users from every question. The system also provided the reminder feature that led to continuous monitoring of stress condition in the students. About 65 correspondents who were selected using random sampling were asked to fill out questionnaires regarding this system after they tried the application. With the continuous monitoring, the researchers find that this system gives a result that all users have decreased their score of stress levels. Moreover, the correspondents rate that the design of the application is good enough, and the system is interesting and useful for helping students to provide a solution for stress.
USING CERTAINTY FACTOR METHOD TO HANDLE UNCERTAIN CONDITION IN HEPATITIS DIAGNOSIS Saputri, Aprilia Eka; Sevani, Nina; Saputra, Fajar; Sali, Richardo Kusuma
ComTech: Computer, Mathematics and Engineering Applications Vol 11, No 1 (2020): ComTech (Inpress)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v11i1.5903

Abstract

The research aimed to develop a web-based application using the certainty factor. The use of this certainty factor method allowed processing the data based on the degree of confidence from the experts and the users. The users inputted their symptoms each with the level of confidence. The inference engine drew some conclusions based on the matching process between the input and the rules in the knowledge-based. For every matching pair, the system will calculate the certainty factor. The knowledge-based was developed through discussion with three specialist physicians and literature in some previous studies. The evaluation of the system involved three specialists for validation testing and 51 respondents for BlackBox testing. The final result is displayed in the form of a percentage for each hepatitis type, explanation of first aid for hepatitis, and referral hospital for hepatitis patients. The result shows that the error rate in the diagnosis process is under 36%. Most of the respondents think that the quality of the system is good overall.