Expert System to Detect the Level of Parental Stress in OnlineLearning by Using Forward Chaining Method

Abstract

This research was aimed to make an expert system
application to detect and identify the parental stress level in
online learning by using the Forward Chaining method. The
system was designed and implemented based on Desktop by
using basic programming language. The data were collected
through questionnaire consisted of 30 questions. The final
score would determine the stress level of the respondents.
The respondents were chosen by using random sampling
technique. XAMPP data with the results obtained from 150
respondents who have educational backgrounds; elementary
school (4 respondents), junior high school (6 respondents),
high school (120 respondents), associate degree (11
respondents), bachelor degree (9 respondents).There were
123 respondents do not work, and 27 respondents were
working parents. The findings showed that from 150
respondents there were 22% or 33 respondents were at
normal level, 6% or 9 respondents were at mild level of
stress, 8% or 12 respondents were at moderate level of stress,
and 64% or 96 respondents were at severe level of stress. It
was concluded that this application can be used to detect the
parental stress level in online learning. It was also expected
through the use of this application can help parents to detect
their stress level earlier and find solution of it in order to
avoid the negative impact of their problems.