Aiti: Jurnal Teknologi Informasi
Vol 23 No 1 (2026)

Sistem pakar deteksi dini kesehatan mental mahasiswa dengan metode Forward Chaining: Sistem pakar deteksi dini kesehatan mental mahasiswa dengan metode Forward Chaining

Izdiana, Alvi Zumaela (Unknown)
Tikaridha Hardiani (Unknown)



Article Info

Publish Date
12 Feb 2026

Abstract

Mental health is a crucial aspect that has a significant impact on the daily lives of individuals. Data from the 2023 mental health screening conducted by the Psychology Service Bureau (BLP) of Universitas 'Aisyiyah Yogyakarta revealed that 16.8 percent of students experienced mental health disorders out of a total of 857 participants. Screening activities that have been carried out through Google Forms have limitations, because screening cannot directly determine the condition of mental health due to the lack of feedback after the test. This study aims to develop a web-based expert system that utilizes the Forward Chaining method to determine a person's mental condition. The system was tested directly by expert and compared the results with manual diagnoses Based on the test, the expert stated that the feature requirements of the system for mental health screening tests have been fulfilled.

Copyrights © 2026






Journal Info

Abbrev

aiti

Publisher

Subject

Computer Science & IT

Description

AITI: Jurnal Teknologi Informasi is a peer-review journal focusing on information system and technology issues. AITI invites academics and researchers who do original research in information system and technology, including but not limited to: Cryptography Networking Internet of Things Big Data Data ...