Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Educia Journal
Fitriani, Vita
Unknown Affiliation
Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Exploring the Strategies and Environmental Factors that Foster Curiosity in Early Childhood Education Syarif, Siti Hardiyanti; Nisaa, Imamun; Fitriani, Vita
Educia Journal Vol. 2 No. 1 (2024): Educia Journal
Publisher : Educia Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71435/610400

Abstract

The research investigates the practices which nurture curiosity at early childhood educational levels while analysing actions and physical setups between educators and students in early childhood education spaces. The phenomenological qualitative research design used interviews and document review and observational methods to study 15 educators and 5 administrators and 10 parents. Research findings determined teacher facilitation as the essential component because educators drive curiosity development through their use of questions together with materials and activities and by giving students independence. The discovery revealed that learning zones consisting of physical spaces along with items inside classrooms help students explore and interact with each other. Children from lower SES backgrounds experience difficulties obtaining outside resources for curiosity development since socio-economic influences shape their socio-cultural factors. Inside classroom instruction that uses culture-based materials and teaching methods created favourable conditions which led students to become more interested and focused. This study offers important contributions to existing knowledge through its specific examples of early childhood learning environments which promote curiosity and resolve gaps found in literatures about concrete methodologies and general environmental qualities for early childhood education contexts. Extensive curiosity development needs to consider teachers' practices as well as classroom design and the social influence inside educational settings to be effective.
The Influence of Digital Tools on Student Engagement and Academic Outcomes Across Educational Levels Hardiyanti, Eka; Fitriani, Vita; Ashari, Wahyu
Educia Journal Vol. 1 No. 2 (2023): Educia Journal
Publisher : Educia Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71435/610408

Abstract

The present research investigates the effectiveness of technology utilization within the context of educational quality enhancement for students, with respect to students’ motivation, achievement, and perceived educational outcomes. This developed a quantitative research design with respect to 500 students and 50 teachers from the primary, secondary, and tertiary institutions. Information was obtained using technology use questionnaires, students’ performance reports, and teachers’ feedback forms. The study showed that the more technology intensive a class or lesson is there is a high likelihood of having students’ participation and high academic achievement. Students who interactively used technologies today including learning management systems, interactive whiteboards, etc. found out they had better academic performance and motivation. Controlling for teacher efficacy and methods in the use of technology was also found greatly to affect students’ achievement. The quantitative data were analysed using descriptive and inferential measures such as the Pearson correlation and regression test to show how technology can enhance learning environment. These findings, therefore, join the emerging literature on technological integration and found positive impacts on various levels of education. This research underlines the importance of further professionalism as to teachers, and the use of proper technological means for improving the quality of education.
Transformer-Based Deep Learning Model for Coffee Bean Classification Ekowicaksono, Imam; Wisesa, I Wayan Wiprayoga; Fitriani, Vita
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10301

Abstract

Coffee is one of the most popular beverage commodities consumed worldwide. The process of selecting high-quality coffee beans plays a vital role in ensuring that the resulting coffee has superior taste and aroma. Over the years, various deep learning models based on Convolutional Neural Networks (CNN) have been developed and utilized to classify coffee bean images with impressive accuracy and performance. However, recent advancements in deep learning have introduced novel transformer-based architectures that show great promise for image classification tasks. By incorporating a self-attention module, transformer models excel at generating global context features within images. This ability demonstrate improved and more consistent performance compared to CNN-based models. This study focuses on training and evaluating transformer-based deep learning models specifically for the classification of coffee bean images. Experimental results demonstrate that transformer models, such as the Vision Transformer (ViT) and Swin Transformer, outperform traditional CNN-based models. Swin Transformer model achieves excellent on the coffee bean image classification task, with 95.13% Accuracy and 90.21% F1-Score, while ViT achieves 94.47% Accuracy and 88.93% F1-Score. It indicates their strong capability in accurately identifying and classifying different types of coffee beans. This suggests that transformer-based approaches could be a better alternative for coffee bean image classification tasks in the future.
Co-Authors Ashari, Wahyu Ekowicaksono, Imam Hardiyanti, Eka I Wayan Wiprayoga Wisesa Nisaa, Imamun Syarif, Siti Hardiyanti