Garuda - Garba Rujukan Digital

PEMANFAATAN TEKNOLOGI ANDROID SEBAGAI MEDIA ALAT PENDETEKSI KEBAKARAN BERBASIS ARDUINO SELFINA PARE; TATIK M. TALLULEMBANG; JAROT BUDIASTO
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 1 (2022): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i1.27688

Salah satu inovasi yang menerapkan IoT adalah smarthome atau rumah pintar. Contoh penerapan IoT dalam bidang keamanan modern adalah alat pendeteksi pada kebakaran dari jarak jauh memanfaatkan smartphone android sebagai media informasi dan rangkaian Arduino UNO sebagai alat identifikasinya. Perancangan sistem yang digunakan dalam penelitian ini adalah Pemodelan Use Case Diagram with UML dan menggunakan software Android Studio, Arduino IDE, dan Firebase Realtime Database. Pengujian terhadap fungsionalitas alat dan sistem menggunakan metode Black-box dan pengujian prototype. Penelitian ini menghasilkan perangkat dan sistem yang mampu mendeteksi terjadinya kebakaran pada bangunan kosong atau sedang tidak berpenghuni berdasarkan identifikasi tanda-tanda kebakaran dari sensor thermal, sensor asap, dan sensor suhu, Kemudian mengirimkan informasi tersebut sebagai notifikasi peringatan pada smartphone android dan didapatkan jarak optimal sensor bekerja Kata kuci : Internet of Things (IoT), Aplikasi Pendeteksi Kebakaran, Android

Storybook validation: Essential practices for student's financial literacy Irianto, Okto; Susanto, Susanto; Asmaningrum, Henie Poerwandar; Rachman, Adi Maulana; Budiasto, Jarot; Sokheh, Habib
Journal of Multidisciplinary Academic Business Studies Vol. 1 No. 2 (2024): February
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomabs.v1i2.3398

Purpose: To develop and validate a financial literacy storybook for Junior High School students using the 4D (Define, Design, Develop, Disseminate) method. Research Methodology: This study employs a development research approach, specifically utilizing the 4D (Define, Design, Develop, Disseminate) method to create and validate a financial literacy storybook for Junior High School students. Results: High feasibility scores from both material (72 points) and media (77 points) experts validated the storybook's content accuracy, relevance, and overall design quality. These results suggest that the approach of using digital storytelling, specifically through Storyjumper, can effectively bridge the gap between abstract financial concepts and relatable age-appropriate narratives for adolescents. Conclusions: The validated storybook enhances students’ financial literacy by combining pedagogical accuracy with engaging design, and digital storytelling innovatively boosts understanding and interest in financial education. Limitations: First, the validation process relied primarily on expert opinions, which, although valuable, may not fully capture the perspectives of the target audience, Junior High School students. The study did not include a pilot test with actual students, which could provide insights into the storybook's real-world effectiveness and engagement levels. Additionally, the research is limited to a specific geographical and cultural context, potentially affecting the generalizability of the findings to other regions or educational systems. Contribution: This research contributes a validated financial literacy storybook for Junior High School students, advancing educational tools in this crucial field and demonstrating the 4D method's effectiveness in educational material development.

AI-Driven Mental Health Assessment: Evaluating the Efficacy of Machine Learning in Detecting Depression and Anxiety from Digital Behavioral Data Budiasto, Jarot
Riwayat: Educational Journal of History and Humanities Vol 8, No 2 (2025): April, Culture and Identity
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v8i2.45375

The integration of artificial intelligence (AI) in mental health assessments has emerged as a promising approach to improve early detection and intervention against psychological disorders. This study evaluates the effectiveness of machine learning (ML) models in detecting depression and anxiety through digital behavioral data, such as social media activity, speech patterns, and biometric signals. Using both supervised and unsupervised learning techniques, we analyzed large-scale datasets to identify behavioral markers associated with mental health conditions. The findings show that ML-based models achieve high levels of accuracy in predicting depression and anxiety, surpassing traditional self-report methods in terms of sensitivity and specificity. Additionally, the study highlights ethical considerations in the application of AI in the field of mental health, including privacy issues, algorithmic bias, and clinical validation. The study contributes to the increasing scientific evidence regarding AI-based mental health assessments and confirms the importance of responsible implementation in clinical settings and digital health. Future research needs to focus on improving model interpretability, improving generalizations in diverse populations, as well as integrating AI-based assessments into real-world mental health care systems.

Enhancing augmented reality experiences through advanced computer vision techniques Chairuddin, Chairuddin; Nampira, Ardi Azhar; Budiasto, Jarot
Jurnal Konseling dan Pendidikan Vol. 13 No. 3 (2025): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1171200

This study investigates the integration of advanced computer vision techniques, specifically semantic segmentation, depth estimation, and object detection, into augmented reality (AR) systems to enhance user immersion, contextual interaction, and real-world adaptability. The research aims to address the limitations of existing AR systems, which often struggle with real-time performance and context-aware interaction in dynamic environments. Using a design-based research (DBR) approach, the study involved testing the proposed AR system on mobile devices under controlled and real-world conditions. Performance was assessed using specific metrics: frame rate (FPS), inference latency, semantic accuracy, and user experience. The sample included 20 participants, recruited through convenience sampling, with inclusion criteria focused on individuals familiar with mobile AR applications. Ethical approval was obtained for the study, and informed consent was provided by all participants. The testing involved both simulation trials and real-world prototyping in varied environmental conditions, such as indoor and outdoor settings with different lighting and motion dynamics. Results indicate that the integrated of the vision stack significantly enhanced scene understanding and enabling stable, context-aware digital overlays, with the system maintaining a real-time frame rate of >27 FPS. User feedback, measured through a 5-point Likert scale survey, confirmed improved immersion, visual coherence, and satisfaction compared to baseline AR systems, with an average increase of 35% in perceived realism. The analysis also revealed that the system's performance remained consistent across varying environmental conditions, with minimal latency (less than 300ms) in dynamic re-anchoring of AR elements. Statistical tests (paired t-tests) confirmed the significance of these improvements, with p-values < 0.05 for all key metrics. This research contributes a scalable framework that bridges artificial intelligence, user experience design, and mobile AR deployment. It provides empirical evidence supporting the integration of computer vision techniques into AR systems, with practical implications for applications in education, healthcare, and industry. Future work will focus on expanding the user base, exploring hardware compatibility, and investigating multimodal AR interactions.

Storybook validation: Essential practices for student's financial literacy Irianto, Okto; Susanto, Susanto; Asmaningrum, Henie Poerwandar; Rachman, Adi Maulana; Budiasto, Jarot; Sokheh, Habib
Journal of Multidisciplinary Academic Business Studies Vol. 1 No. 2 (2024): February
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomabs.v1i2.3398

Purpose: To develop and validate a financial literacy storybook for Junior High School students using the 4D (Define, Design, Develop, Disseminate) method. Research Methodology: This study employs a development research approach, specifically utilizing the 4D (Define, Design, Develop, Disseminate) method to create and validate a financial literacy storybook for Junior High School students. Results: High feasibility scores from both material (72 points) and media (77 points) experts validated the storybook's content accuracy, relevance, and overall design quality. These results suggest that the approach of using digital storytelling, specifically through Storyjumper, can effectively bridge the gap between abstract financial concepts and relatable age-appropriate narratives for adolescents. Conclusions: The validated storybook enhances students’ financial literacy by combining pedagogical accuracy with engaging design, and digital storytelling innovatively boosts understanding and interest in financial education. Limitations: First, the validation process relied primarily on expert opinions, which, although valuable, may not fully capture the perspectives of the target audience, Junior High School students. The study did not include a pilot test with actual students, which could provide insights into the storybook's real-world effectiveness and engagement levels. Additionally, the research is limited to a specific geographical and cultural context, potentially affecting the generalizability of the findings to other regions or educational systems. Contribution: This research contributes a validated financial literacy storybook for Junior High School students, advancing educational tools in this crucial field and demonstrating the 4D method's effectiveness in educational material development.

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