TSABITA, HALIMAH KHOIRUNISA (2019) SISTEM PAKAR DIAGNOSIS GANGGUAN MOOD DEPRESI PADA REMAJA DENGAN METODE DEMPSTER SHAFER. Undergraduate Thesis thesis, Institut Telkom Purwokerto.
Text
COVER.pdf - Accepted Version Download (921kB) |
||
|
Text
Abstract.pdf - Accepted Version Download (180kB) | Preview |
|
|
Text
Abstrak.pdf - Accepted Version Download (181kB) | Preview |
|
|
Text
BAB I.pdf - Accepted Version Download (406kB) | Preview |
|
|
Text
BAB II.pdf - Accepted Version Download (846kB) | Preview |
|
|
Text
BAB III.pdf - Accepted Version Download (1MB) | Preview |
|
|
Text
BAB IV.pdf - Accepted Version Download (1MB) | Preview |
|
|
Text
BAB V.pdf - Accepted Version Download (183kB) | Preview |
|
|
Text
DAFTAR PUSTAKA.pdf - Accepted Version Download (407kB) | Preview |
Abstract
ABSTRACT Depression is a mental illness that can affect yourself. Riskesdas data shows the prevalence of mental emotional disorders as indicated by symptoms of depression and anxiety for the age of 15 years and over reached around 14 million people or 6% of the total population of Indonesia and only noted by 8% who get the right treatment. Comparison of psychologists/psychiatrists with sufferers, shame and fear, till the lack of consultation location resulted in many people affected by depression did not get the right treatment. Even if it is not treated properly it can caused to death. So from this problem, an axpert system of depression diagnose was created that might reduce the inhibiting factors in overcoming depression. The method used is the Dempster Shafer method by using a combination of symptoms (slices). By implementing this method get an accuracy rate of 92.7% with 55 teenage research objects. For this method, the accuracy that approaches 1 or 100% can be said to be more valid. Keywords: Dempster Shafer, Expert System, Depression
Item Type: | Thesis (Undergraduate Thesis) |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Industrial Engineering and Informatics > Informatics Engineering |
Depositing User: | Users 218 not found. |
Date Deposited: | 05 Jun 2020 19:15 |
Last Modified: | 26 Apr 2021 03:22 |
URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/5682 |
Actions (login required)
View Item |