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    http://repository.unmul.ac.id/handle/123456789/56606| Title: | Expert System for Screening of Borderline Personality Disorder | 
| Authors: | Ramadiani, Ramadiani Evica Awanda Hendoq, Evica Awanda Jundillah, Muhammad Labib Tamrin, Tamrin Azainil, Azainil Widarti, Budi Nining | 
| Keywords: | Borderline Personality Disorder Certainty Factor Forward Chaining | 
| Issue Date: | 31-Oct-2023 | 
| Publisher: | IEEE - 2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) | 
| Citation: | R. Ramadiani, E. A. Hendoq, M. L. Jundillah, T. Rahman, A. Azainil and B. N. Widarti, "Expert System for Screening of Borderline Personality Disorder," 2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Palembang, Indonesia, 2023, pp. 509-514, doi: 10.1109/EECSI59885.2023.10295673. keywords: {Electrical engineering;Computer science;Pain;Anxiety disorders;Mental health;Depression;Expert systems;Borderline Personality Disorder;Certainty Factor;Forward Chaining}, | 
| Abstract: | Individuals who have symptoms of borderline personality disorder (BPD) usually experience intense feelings of hatred, anger, depression, or anxiety. These feelings are often frightening, overwhelming and difficult to control. In the midst of intense emotions, individuals with BPD may act impulsively to reduce emotional pain, calm themselves, or communicate emotional distress. This results in 10% of people with BPD dying by suicide. The system is made to anticipate and minimize these problems. The expert system built in this study can measure a person's level of borderline personality disorder, so that it can increase knowledge in the general public to help someone who is detected as having mental health problems or BPD. The certainty factor method is used to assume the degree of confidence in the value used, and Forward chaining as forward tracking which starts from gathering facts and events that support the assumption/hypothesis, until a conclusion is obtained. Based on tests using 50 test data using accuracy testing, it shows that the CF method has a presentation of 100% accuracy in the test results that have been carried out in this study. | 
| URI: | http://repository.unmul.ac.id/handle/123456789/56606 | 
| ISSN: | 979-8-3503-0687-3 | 
| Appears in Collections: | P - Computer Sciences and Information Technology | 
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| blueprint a86-ramadiani final EECSI 2023.pdf | 487.5 kB | Adobe PDF | View/Open | 
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