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All Journal Jurnal Teknik Informatika (JUTIF) IJIGAEd: Indonesian Journal of Islamic Golden Age Education
Imamah Imamah
Universitas Trunojoyo Madura
Computer Science & IT Education

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Development of the Potty Fun Kid’s Digital Media Application to Improve Toilet Training Independence in Children with Autism Spectrum Disorder Priyanti, Nita; Imamah, Imamah; Hoiriyah, Hoiriyah
IJIGAEd: Indonesian Journal of Islamic Golden Age Education Vol. 6 No. 2 (2025): IJIGAEd: Indonesian Journal of Islamic Golden Age Education
Publisher : Universitas Islam Negeri Jurai Siwo Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/xqmd7q31

Abstract

This study aims to develop and evaluate the effectiveness of the digital application “Potty Fun Kid’s” in enhancing toilet training independence among children with autism spectrum disorder (ASD). A pre-test–post-test design was employed involving 26 children with ASD enrolled in an inclusive school. The application was validated by media experts and subject matter experts prior to its six-week implementation as an intervention. Data were collected through observations of toilet training independence, questionnaires completed by teachers and parents, and semi-structured interviews. The findings revealed a significant increase in toilet training independence scores, from a pre-test mean of 152.88 (categorized as “moderately independent”) to a post-test mean of 231.35 (categorized as “independent”). Potty Fun Kid’s was rated as highly feasible by both media and subject matter experts, achieving a feasibility score of 90%. The majority of teachers and parents (92.9%) reported improvements in children’s toilet training independence, particularly in recognizing signs, following sequences, and communicating toileting needs. The visual schedule and reward system features were identified as the most effective components of the application. Observational data indicated an increase in successful toilet use rates from 40% to 100% and a reduction in dependence on assistance. In conclusion, Potty Fun Kid’s is effective in promoting toilet training independence among children with ASD by ensuring a consistent approach between school and home environments.
Improving RoBERTa Performance through Hyperparameter Optimization for Sentiment Analysis of Indonesian Tourism Reviews Imamah, Imamah; Thida, Myo; Rachman, Fika Hastarita; Satoto, Budi Dwi; Herawati, Sri; Kustiyahningsih, Yeni; Rochman, Eka Mala Sari; Zakiyah, Meita Lailatuz
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5672

Abstract

The performance of transformer models such as RoBERTa in sentiment classification is influenced by hyperparameter settings, especially the epoch and batch sizes. However, no previous study has examined the impact of changes in the number of epochs and batch sizes on the performance of each class in classification tasks, especially in Indonesian-language sentiment analysis of tourism reviews. Therefore, this study aims to fill this gap by analyzing the performance of RoBERTa and the impact of various hyperparameter settings on sentiment for each class. The dataset consists of 3,875 reviews from visitors to Lake Sarangan on Google Maps. The batch sizes used in this study are 8 and 16, and the epoch range is 2 to 4. There are three classes of sentiment: negative, neutral, and positive. The results demonstrate that increasing the batch size from 8 to 16 does not linearly improve model performance. The optimal combination of epoch=4 and batch size=8 achieved 91% accuracy, with significant improvements in recall and F1-score across all classes, especially in positive sentiment classification. This research offers valuable insights into fine-tuning RoBERTa for sentiment analysis in Indonesian contexts, providing recommendations for future sentiment analysis tasks in natural language processing.
Co-Authors Akhmad Siddiqi Budi Dwi Satoto Fika Hastarita Rachman, Fika Hastarita Hoiriyah, Hoiriyah Nita Priyanti Rochman, Eka Mala Sari Sri Herawati Thida, Myo Yeni Kustiyahningsih Zakiyah, Meita Lailatuz