Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal ELP (Journal of English Language Pedagogy) JAIA - Journal of Artificial Intelligence and Applications
Liya Astarilla Dede Warman
Unknown Affiliation
Computer Science & IT Education Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Expert System to Detect the Level of Parental Stress in Online Learning by Using Forward Chaining Method M. Kom, Susi Erlinda; Rika Desmalita; Liya Astarilla Dede Warman
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 2 (2022): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v2i2.879

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.
INTEGRATING LOCAL WISDOM OF RIAU MALAY CULTURE IN ENGLISH LEARNING IN 4.0 ERA Liya Astarilla Dede Warman; Hadriana; Elmustian Rahman
ELP (Journal of English Language Pedagogy) Vol. 10 No. 2 (2025): ELP (Journal of English Language Pedagogy)
Publisher : Universitas Mahaputra Muhammad Yamin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36665/elp.v10i2.1048

Abstract

         Providing English materials based on local wisdom of Riau Malay is appropriate to improve the students’ English skill and also their cultural values and norms. Integrating moral values or local wisdom into English teaching and learning process can protect future generations from the deterioration of their national identity. The objectives of this research were to analyse the integration of local wisdom of Riau Malay Culture in English learning and the effects of the integration of local wisdom on students’ English skills. Systematic literature review was employed in the study by implementing PRISMA. This study utilized article databases and search engines namely Scopus, Semantic Scholar and Google Scholar to obtain the data. There were 11 articles as the data source which analyzed by employing narrative synthesis. The results of this study found that local wisdom of Riau Malay can be integrated into English learning namely reading, writing and speaking skills. Integrating Riau Malay Cultural values in English learning can enhance the students’ English ability and their cultural awareness in preserving local culture and national identity. Nevertheless, the studies related to the integration of local wisdom of Riau Malay Culture into English learning is very limited, this research is necessary to fill that gap.  It is also suggested for the next researchers to conduct further investigations related to this topic.
Co-Authors Elmustian Rahman Hadriana M. Kom, Susi Erlinda Rika Desmalita