Viryal Zahra Nada, . (2023) SISTEM PAKAR UNTUK DIAGNOSIS AWAL GANGGUAN SUASANA HATI DENGAN MENGGUNAKAN METODE DEMPSTER SHAFER. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Technological advances that are growing rapidly make it easier for someone to share many things through social media, and vice versa, one can see many things that are shared by others, including the achievements or successes obtained. As humans, it is natural to have a lack of self-confidence, often someone feels less confident when they see the achievements of others. It's normal and natural to feel down on a disappointing event. However, it will have a bad impact on one's mental health if it is too long to dissolve in adversity. Psychiatric disorders that can be caused are mood disorders or mood disorders. A person who has a mood disorder should go to a psychiatrist for a consultation, but there are still many people who object to the price of a consultation that must be paid. To overcome these problems, the authors propose the creation of an expert system for early diagnosis of mood disorders using the Dempster Shafer method. The result of this research is the availability of an expert system for conducting initial diagnosis of mood disorders using the Dempster-Shafer method. Based on the testing conducted using the black box method, an accuracy of 100% was obtained, and based on the testing conducted with experts, an accuracy of 100% was achieved
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511109] [Pembimbing: Ria Astriratma] [Penguji 1: Yuni Widiastiwi] [Penguji 2: Anita Muliawati] |
| Uncontrolled Keywords: | Expert System, Dempster Shafer, Mood Disorder |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Viryal Zahra Nada |
| Date Deposited: | 25 Jul 2023 06:55 |
| Last Modified: | 25 Jul 2023 06:55 |
| URI: | http://repository.upnvj.ac.id/id/eprint/25218 |
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