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All Journal Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Penelitian Sains Teknologi
Dody Hartanto
Faculty of Teacher Training and Education, Universitas Ahmad Dahlan
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Virtual Art Therapy for Adolescence Mental Health Education: Systematic Literature Review and Future Perspectives Dody Hartanto; Mufied Fauziah; Remedios C. Moog; Yenni Rizal; Diki Herdiansyah; Nuri Cholidah Hanum
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 7, No. 2, May 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v7i2.8200

Abstract

This study aims to conduct a systemic literature review on the application of virtual art therapy as an effort to maintain adolescent mental health and examine the use of mental health services in the future by utilizing technology. The research was conducted using a systematic literature review on scientific articles. Seven key studies were selected as the primary sources to describe the application of virtual art therapy as an effort to maintain adolescent mental health. Selected articles were analyzed by data extraction. The findings indicate the application of virtual art therapy for adolescents in maintaining mental health as a complex process by utilizing the deepest human feelings that is hard to be expressed by words. Virtual art therapy was done by mediating what the client expresses through art created in the virtual world. The aesthetics art made was not the main focus of the therapeutic process, but the way the art can be realized as an expression of feelings. In future research, there needs to be an effort to develop and test the success of virtual art therapy models in creating mental health and conduct empirical surveys to assess the suitability of virtual art therapy models among adolescents.
Mental Health Challenges in Children: A Cross-Sectional Study Using the Strengths and Difficulties Questionnaire Ipah Saripah; Lucky Angkawidjaja Roring; Rifqy Muhammad Hamzah; Tb. Moh. Irma Ari Irawan; Dody Hartanto; Nadia Aulia Nadhirah; Diana Lea Baranovich; Hoeur Sethul
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 7, No. 1, January 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v7i1.24139

Abstract

Mental health of elementary school students is an important issue that needs attention in efforts to improve individual well-being and development. This study aims to identify the mental health profile of elementary school students in West Java through the use of the Strengths and Difficulties Questionnaire (SDQ). The study employs a cross-sectional design involving 889 elementary school students as research subjects. Data were collected through the distribution of the SDQ questionnaire both online and offline. Data analysis was conducted using descriptive statistics to describe the distribution of scores on each SDQ subscale. The analysis results of the instrument reveal the prevalence of emotional symptoms, conduct problems, hyperactivity, peer relationship problems, and prosocial behavior in elementary school students. The findings of this study are expected to serve as a foundation for policymakers, educators, and parents in designing more effective programs to improve students' mental health and prevent the emergence of more serious psychological issues.
IndoBERT-Based Sentiment Analysis of Electric Motorcycle Policy in Indonesia Using Instagram Data Muhammad Syahriandi Adhantoro; Faris Athoil Haq; Dody Hartanto; Aninditawidagda Pandam Sudaryanto
Jurnal Penelitian Sains Teknologi Vol. 2, No. 2, September 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v2i2.17021

Abstract

This study aims to analyze public sentiment toward the procurement of electric motorcycles within the Nutritional Service Fulfillment Unit/ Satuan Pelayanan Pemenuhan Gizi (SPPG) program in Indonesia by utilizing data from Instagram. The approach employed is a deep learning-based sentiment analysis using the IndoBERT model, which has been fine-tuned to classify data into positive, negative, and neutral categories. The research stages include data collection, preprocessing, labeling, model development, and model evaluation using accuracy, precision, recall, and F1-score metrics. The results indicate that public sentiment is predominantly negative at 80%, followed by positive sentiment at 15% and neutral sentiment at 5%. Further analysis reveals that negative sentiment is primarily driven by issues related to budget prioritization, infrastructure readiness, and policy effectiveness, while positive sentiment is associated with environmental benefits and improved service distribution efficiency. The model evaluation demonstrates that IndoBERT achieves high performance, with an accuracy of 0.89, precision of 0.88, recall of 0.90, and F1-score of 0.89. These findings indicate that IndoBERT is effective in capturing the contextual nuances of the Indonesian language in unstructured social media data. This study contributes to the advancement of transformer-based sentiment analysis methods and provides data-driven insights to support more responsive and evidence-based policymaking.
Co-Authors Aninditawidagda Pandam Sudaryanto Diana Lea Baranovich Diki Herdiansyah Faris Athoil Haq Hoeur Sethul Ipah Saripah Lucky Angkawidjaja Roring Mufied Fauziah Muhammad Syahriandi Adhantoro Nadia Aulia Nadhirah Nuri Cholidah Hanum Remedios C. Moog Rifqy Muhammad Hamzah Tb. Moh. Irma Ari Irawan Yenni Rizal