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Alfian Ma'arif
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Jl. Empu Sedah No. 12, Pringwulung, Condongcatur, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281, Indonesia
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INDONESIA
Indonesian Journal of Applied Science and Engineering
Published by Peneliti Teknologi Teknik Indonesia
ISSN : 30309174     EISSN : 30309174     DOI : 10.59247/ijase
Core Subject :
The Indonesian Journal of Applied Science and Engineering is a peer-reviewed, open-access academic journal. The journal is dedicated to advancing knowledge and disseminating high-quality research at the intersection of applied science, engineering, education, and social science, with a strong emphasis on the development and application of knowledge for the benefit of society. The journal serves as a multidisciplinary scholarly platform for academics, researchers, educators, and practitioners to share original work that bridges theoretical foundations with practical applications across diverse fields. The journal recognizes that solving complex real-world problems increasingly requires collaboration across disciplines — from engineering systems and applied technologies to educational innovation and social transformation. Contributions that demonstrate interdisciplinary thinking, innovation, and societal impact are especially encouraged. The journal publishes original research articles, technical reports, systematic literature reviews, expert opinions, and critical responses covering Engineering and Technology, Education and Learning Sciences, and Social Science and Humanities.
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Articles 5 Documents
 1 
Search results for , issue "vol. 3 no. 2 (2025)" : 5 Documents clear
World Models Grounded by IoT Sensor Streams: A Survey of Architectures, Infrastructure, and Integration Pathways Sigit Dani Perkasa
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.160

Abstract

Physical AI and embodied AI systems operating in real-world environments require continuous sensor grounding from deployed infrastructure, yet the predictive world-model architectures that power these systems were developed under laboratory assumptions of clean, synchronous sensor data that rarely hold in practice. The world-model literature and the IoT sensor infrastructure literature have evolved in largely separate research communities with minimal cross-citation, leaving a critical gap in understanding how latent-dynamics models can be robustly grounded by noisy, asynchronous, and resource-constrained real-world sensor streams. This paper presents a systematic survey of 34 peer-reviewed publications organized into three streams—world-model architectures (n = 12), IoT sensor infrastructure (n = 11), and bridge literature at their intersection (n = 6), with five cross-listed papers—following PRISMA 2020 guidelines for systematic reviews. The survey identifies three novelty claim spaces where current world-model architectures remain structurally unprepared for real-world sensor deployment: robustness to missing, noisy, and irregular sensor data; clock-synchronization-aware temporal alignment between asynchronous sensor streams and world-model inference; and architectural compression strategies enabling world-model deployment on resource-constrained edge devices. This is the first systematic survey to establish a Stream A × Stream B taxonomy that maps the integration pathways between world-model architectures and IoT sensor infrastructure, providing a structured research agenda for physically grounded predictive AI.
Yield, Weight Loss, and Frying Time of Jackfruit and Papaya Chips Produced by Vacuum Frying Hanifah Dwi Zaharani; Safinta Nurindra Rahmadhia; Ali Jebreen; Swapnil Prashant Gautam
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.162

Abstract

Jackfruit and papaya are highly perishable fruits that require appropriate processing to extend shelf life and increase their economic value. Vacuum frying is commonly used to produce fruit chips with reduced moisture content while preserving product quality. This study contributes to evaluated the yield, weight loss, and frying time of jackfruit and papaya chips produced under commercial vacuum-frying conditions. Data were collected through direct observation and production records from 11 processing batches (n = 11). The process was conducted at a frying temperature of 85°C and a vacuum pressure of −65 cmHg. No process parameters were intentionally varied; therefore, the study represents the performance of a single operating condition. The average yield of jackfruit and papaya chips was 23.3% and 11.6% respectively while the respective weight losses were 76.7% and 88.4%. The average frying times were 119 min for jackfruit chips and 129 min for papaya chips. The lower yield, higher weight loss and longer frying time observed in papaya chips indicates a higher moisture removal requirement than jackfruit chips. These findings provide baseline performance data for vacuum-fried fruit chip production and suggest that differences in raw material characteristics, particularly moisture content, strongly influence processing efficiency and product recovery.
Questioning “Boy Math” and “Girl Math”: A Measurement-Based Test of Gendered Financial Behaviour Profiles Among Indonesian Students Asma Khoirunnisa; Heri Retnawati; Risky Setiawan; Samsul Hadi; Hanifah Mar'atush Shalihah; Zhansaya K. Markhmadova; Alaa Abdelkader; Aisha Juma Mussa
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.168

Abstract

The popular phrases “Boy Math” and “Girl Math” have transformed humorous spending explanations into a wider discussion about gender and money. This study uses the discourse as a cultural entry point rather than as a construct directly measured by PISA 2018, which predates the trend and does not assess meme-specific post-hoc spending rationalisations. Using complete-case data from 5,833 Indonesian students, the study examined financial autonomy, careful price behaviour, bank confidence, digital confidence, financial behaviour, and financial attitude through ordinal confirmatory factor analysis, gender measurement invariance, latent factor scores, k-means clustering, and a secondary Random Forest diagnostic. The measurement model showed acceptable fit (CFI = 0.992, TLI = 0.991, RMSEA = 0.063, SRMR = 0.059), and invariance was supported up to the strict level. The two-cluster solution separated students consistently across all six dimensions, indicating higher and lower financial engagement levels rather than qualitatively distinct reasoning styles. The unadjusted association between gender and cluster membership was not significant, χ²(1) = 2.135, p = 0.144, Cramer’s V = 0.019. In adjusted logistic regression using conventional standard errors, male students had slightly lower odds of belonging to the higher-engagement group after grade was controlled (OR = 0.864, p = 0.006). School-clustered standard errors were not reported in the supplied output, so the adjusted inferential result remains provisional. Given the gender-balanced profiles, negligible unadjusted effect size, and odds ratio close to one, the relationship is substantively small. Random Forest reconstructed the internally generated cluster labels with 97.27% out-of-bag accuracy; this represents classification fidelity rather than external predictive validity. The findings do not support treating “Boy Math” and “Girl Math” as clear empirical gender categories.
Mapping Research Trends of Technology Enhanced Project-Based Learning for Sustainable Chemistry Education Hajidah Salsabila Allissa Fitri; Alfian Ma’arif; Jaslin Ikhsan; Zafrullah Zafrullah; Shazia Aslam; Casphama Jovansyah Chaidir; Elysa Putri Agustin; Rasamimanana Joronavalona
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.173

Abstract

The integration of project-based learning, sustainability education, and educational technology has gained increasing attention in chemistry education as educators seek innovative approaches to address global sustainability challenges and develop students’ twenty first century competencies. However, the development of research in this area has not been systematically mapped within the Scopus indexed literature. Therefore, this study aimed to analyze publication trends, leading contributors, thematic development, and research gaps in technology enhanced project-based learning for sustainable chemistry education. A bibliometric approach was employed using English language literature retrieved from the Scopus database on May 11, 2026. The search process identified 485 English language publications, including articles, conference papers, and review papers published between 2010 and 2026. Bibliometric analyses were conducted using Biblioshiny in RStudio and VOSviewer to examine publication trends, collaboration networks, keyword co-occurrence patterns, and thematic development. The results indicate a substantial increase in research output, particularly after 2020, with 162 publications recorded in 2025, representing the highest annual output in the dataset. Indonesia emerged as the most productive contributor, accounting for 29.07% of the total publications, while Finland, the United States, and China demonstrated greater citation influence. Keyword analysis identified project-based learning, students, sustainability, engineering education, and green chemistry as dominant research themes. Thematic evolution revealed a shift from technology adoption and instructional innovation toward sustainability oriented learning and competency development. Emerging topics such as critical thinking, design thinking, and twenty first century skills have gained increasing attention in recent years. The findings suggest that although the Scopus indexed literature has experienced rapid growth, the integration of artificial intelligence, learning analytics, and adaptive educational technologies remains limited. This study provides a systematic mapping of the Scopus indexed, English language literature and offers directions for future research on technology enhanced sustainable chemistry education.
Digital Administrative Service Quality and Student Satisfaction in Higher Education: A Bibliometric Analysis Resky Nuralisa Gunawan; Dwi Mahardiyati; Lamanisa Rasid Saputra; Indah Sari Hamid
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.176

Abstract

The rapid digitalization of higher education has transformed administrative service delivery and increased the importance of digital service quality in shaping student experiences and satisfaction. However, research on digital administrative service quality remains dispersed across higher education, service management, educational technology, and information systems, making it difficult to identify its development and thematic structure. This study aims to examine the development, characteristics, and thematic evolution of research on digital administrative service quality and student satisfaction in higher education. Bibliometric and science-mapping analyses were conducted using 36 Scopus-indexed documents published between 2015 and 2025, identified through a structured search conducted on June 27, 2025. Bibliographic data were analysed using descriptive bibliometric techniques and VOS viewer to examine publication trends, document types, subject areas, author and country contributions, keyword co-occurrence, and temporal patterns. The results show that journal articles represented the largest proportion of publications (63.9%), followed by conference papers (19.4%) and book chapters (11.1%). Social Sciences constituted the largest subject area (28.8%), followed by Computer Science (21.2%) and Engineering (10.6%). Keyword co-occurrence analysis identified higher education, students, satisfaction, service quality, and e-learning as prominent themes, while artificial intelligence and chatbot-related terms appeared as more recent themes in the dataset. The temporal pattern therefore suggests emerging attention toward AI-enabled and increasingly interactive digital services, although this pattern should be interpreted cautiously given the limited number of documents analysed. The study provides a preliminary bibliometric overview of the research intersection between digital administrative service quality and student satisfaction and identifies potential directions for future empirical research on usability, accessibility, responsiveness, trust, artificial intelligence, and student experience in higher education.

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