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Alfian Ma'arif
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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.
Arjuna Subject : -
Articles 26 Documents
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PLTS for Indonesia’s Clean Energy Transition: A Narrative Review of Environmental Benefits and Implementation Readiness Etika Nur'Aini; Putri Nurul Jayanti
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i1.158

Abstract

Indonesia faces two main challenges: increasing energy demand and the increasingly visible impacts of environmental change related to greenhouse gas emissions, land-use pressure, and climate risk. Previous PLTS studies in Indonesia mainly discuss technical feasibility, rooftop adoption, economics, policy, or grid issues separately. Fewer reviews explain why PLTS should be prioritized as a climate-mitigation option and why it is especially suitable for Indonesia. This paper addresses that gap through a document-based narrative review of climate reports, emission statistics, PLTS studies, policy literature, adoption studies, and environmental-impact evidence. The novelty is a climate-centered PLTS suitability argument for Indonesia. By synthesizing 43 references across five analytical dimensions, this review identifies five reasons why PLTS deserves priority: high solar-resource potential, modular deployment on roofs and reservoirs, compatibility with daytime public-building and cooling loads, scalability from household to utility-scale systems, and measurable avoided emissions when solar generation replaces fossil-based electricity. The review finds that PLTS can support climate-change mitigation, but its benefits depend on realistic site assessment, grid compatibility, storage evaluation, monitoring, public acceptance, maintenance readiness, and lifecycle management. This article contributes practical guide for the energy transition to cleaner energy and is suitable for Indonesia as an archipelagic country located in the equatorial region.
Educational Games and Game-Based Learning in Indonesian Education: Trends, Themes, and Emerging Topics Zafrullah Zafrullah; Naufal Permana; Hasan Syukur; Rahayu Nurfadilla; Dwinta Cahyani
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i1.159

Abstract

Educational games and game-based learning have gained increasing attention in educational research because of their potential to enhance student engagement, motivation, and learning outcomes. This study aims to map the development of educational games and game-based learning research in Indonesian education and provide an overview of its intellectual structure. A bibliometric approach was employed using data retrieved from the Scopus database, with article selection conducted systematically through the PRISMA framework, resulting in 197 articles published between 2011 and 2026. Publications indexed in 2026 were included up to the data retrieval date and may therefore represent a partial indexing year. Data were analyzed using R Program and VOSviewer through publication trend analysis, word cloud visualization, keyword clustering, and keyword novelty analysis. The findings show a substantial increase in research output, reaching its highest level in 2025. Four major thematic clusters were identified: Digital Learning Ecosystems, Educational Technology Integration, Immersive Game Development, and Instructional Design Frameworks. The research landscape is strongly associated with gamification, learning systems, and game-based learning, while “Augmented Reality,” “Project-Based Learning,” and “Educational Technology” emerged as growing research topics. This study contributes by revealing the thematic evolution, intellectual structure, and emerging directions of the field, providing insights for researchers, educators, curriculum developers, and policymakers to support evidence-based implementation of game-based learning in Indonesian education.
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.
Blockchain-Based Prediction Markets: A Survey of Architectures and Economic Mechanisms Sigit Dani Perkasa; Fachrizal Fikri
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i1.161

Abstract

Prediction markets harness dispersed knowledge to forecast uncertain events. Blockchain technology has enabled a new generation of permissionless, oracle-dependent prediction platforms with diverse architectural and economic designs. To survey the engineering architectures, market microstructure, oracle designs, and economic mechanisms of operational blockchain-based prediction market platforms, using a structured comparative case-study approach. A documented platform-selection protocol (informed by Chong et al. [2019] and Treiblmaier [2019] for blockchain case-study research) was applied across DeFi literature, industry documentation, and technical whitepapers. Six blockchain-native platforms and one centralized regulated benchmark were selected based on market relevance, architectural diversity, and documentation availability. The six blockchain-native platforms—Polymarket, Augur, Gnosis Conditional Tokens/Omen, Azuro, SX Bet, and Overtime Markets—span three dominant architectural paradigms: the centralized limit order book with decentralized settlement, the fully on-chain automated market maker, and the modular conditional token infrastructure. Oracle design emerges as the critical security bottleneck across all platforms, with each adopting distinct trust assumptions and economic security models. Liquidity models range from hierarchical pooled AMMs to competitive order books to parimutuel systems, with no single architecture dominant across applications. Conclusions: The contrast between blockchain-native platforms and the CFTC-regulated Kalshi illustrates the fundamental trade-off between cryptographic trust minimization and regulatory compliance. These findings provide a structured framework for understanding the design space of blockchain-based prediction markets and identify open challenges including oracle security, cross-chain liquidity aggregation, and the integration of prediction market signals with autonomous decision-making systems.
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.
Product Defect Analysis in Almond Cookies using Statistical Quality Control Destia Nur Romadhoni; Safinta Nurindra Rahmadhia; Ainul Mardhiah; Afolabi-Owolabi Oluwafunke Toyin
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i1.164

Abstract

Quality control is an essential aspect of food production because product defects can reduce consumer acceptance, production efficiency, and economic value. Small-scale food industries often face challenges in maintaining product consistency due to limited quality control systems and resources. Therefore, this study aimed to characterize product defects and provide an initial evaluation of production-process variability in almond cookies produced by a small-scale food industry in Yogyakarta using a Statistical Quality Control (SQC) approach. A descriptive observational study was conducted on four production batches comprising 2,125 almond cookies. Data collected included production volume, number of defective products, and defect types identified through visual inspection using a check sheet. The data were analyzed using defect-rate calculations, Pareto analysis, and Statistical Process Control (SPC) using a p-chart. A total of 99 defective products were identified, corresponding to an overall defect rate of 4.66%, while the first-pass conformity rate was 95.34%. Pareto analysis identified shape nonconformity as the dominant defect, accounting for 45.45% of total defects, followed by topping damage (17.18%), color non-uniformity (14.14%), poor dough cohesion (13.13%), and structural breakage (10.10%). The three most frequent defect types accounted for 76.77% of all defects. The p-chart showed that the four observed batch proportions were within the calculated control limits (UCL = 7.40%; LCL = 1.92%). However, because only four production batches were observed, these control-chart results should be interpreted as an initial indication of process variability rather than definitive evidence of long-term statistical control. The findings indicate that shape nonconformity is the primary quality-improvement priority, while further monitoring using a larger number of production batches is required to establish reliable process-control limits and investigate the underlying causes of defects.
Packaging Quality Control in a Small-Scale Tempeh Industry Using Pareto Analysis and Control Charts Ardhiansyah Pradana; Safinta Nurindra Rahmadhia; Ainul Mardhiah; Ali Jebreen
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i2.165

Abstract

Tempeh is a traditional Indonesian fermented food with high economic value and is widely consumed by the public. In the tempeh industry, packaging quality is a crucial factor as it protects the product during fermentation, storage, and distribution. Packaging defects such as torn packaging or loose seals can reduce product quality and increase the risk of contamination. This study aims to analyze the level of packaging defects and evaluate the stability of the tempeh packaging process using a Statistical Quality Control (SQC) approach. The study was conducted at a tempeh industry in Yogyakarta using observation data for seven days of production. The analysis was conducted using check sheets, Pareto diagrams, and c-charts. The results showed that during the observation period, 179 packaging defects were found out of a total production of 3,670 kg. The 700 g packaging size had the highest number of defects at 71 defects (39.7%), followed by the 425 g packaging with 64 defects (35.8%), while the 150 g and 270 g packaging each contributed 14.5% and 10.0% of the total defects, respectively. Pareto analysis showed that 700g and 425g packaging contributed 75.5% to the total defects, making them a top priority in the quality improvement program. The c-chart analysis showed a CL value of 25.57, a UCL of 40.74, and a LCL of 10.40. All observation points were within the control limits, indicating that the packaging process was in statistically controlled conditions. However, the relatively high number of defects indicated the need for continuous improvement efforts, especially in large-sized packaging. This study demonstrated that the application of the SQC method can be used effectively to identify quality improvement priorities and evaluate the stability of the packaging process in small and medium-scale tempeh industries.
Chemical and Microbiological Quality Evaluation of Powdered Etawa Goat Milk Product Ade Krismaningrum; Safinta Nurindra Rahmadhia; Rabia Mehboob; Hamed Kioumarsi
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i1.166

Abstract

Powdered Etawa goat milk products are increasingly developed as shelf-stable dairy products; however, their quality should be evaluated according to the characteristics of the product and the applicable quality requirements. This study aimed to evaluate the chemical and microbiological characteristics of a powdered Etawa goat milk product produced by a powdered Etawa goat milk processing plant in Yogyakarta and assess its conformity with SNI 2970:2015. The study used a descriptive observational design and a single product sample obtained from one production batch. The product was produced using an open-pan crystallization process involving the addition of refined sugar and seed powder. Proximate characteristics, heavy metals, prohibited chemicals, other chemical contaminants, and microbiological parameters were evaluated using laboratory analyses and compared descriptively with SNI 2970:2015. Moisture (1.54%) and fat (29.12%) complied with the specified requirements, whereas protein content (16.87%) was substantially lower than the 32% minimum specified for milk powder. Pb, Cd, Sn, Hg, As, melamine, alcohol, caffeine, formaldehyde, borax, methanyl yellow, and rhodamine B were not detected or were negative, while quinine was reported as <6 mg/kg. Salmonella spp. and Staphylococcus aureus were not detected. The results indicate satisfactory chemical and microbiological safety for the analyzed batch; however, the low protein content should be interpreted in relation to the product formulation and the applicability of the milk-powder standard to this sugar-crystallized product. Because only one batch was evaluated without analytical replication, the findings should not be generalized to all production batches or commercial products.
Mapping Inclusive Education Research in Indonesia: A Bibliometric Analysis of Publication Trends, Research Themes, and Future Directions Rahayu Nurfadilla; Zafrullah Zafrullah; Fauzia Harun; Qorri Azizah; Sharafina Mardhotillah Parciagla; Dina Auliatil Wahyuni
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i2.167

Abstract

Inclusive education plays a crucial role in ensuring equitable access to learning opportunities for all students regardless of their backgrounds and abilities. Although research on inclusive education has grown substantially, a comprehensive understanding of its development, thematic structure, and emerging trends in Indonesia remains limited. Therefore, this study aims to map the landscape of inclusive education research in Indonesia using a bibliometric approach. This study contributes to the literature by providing insights into publication trends, institutional contributions, dominant research themes, and future research directions within the Indonesian context. A total of 123 Scopus-indexed articles affiliated with Indonesian researchers were analyzed using Bibliometrix/Biblioshiny in R Program and VOSviewer to examine publication characteristics, collaboration patterns, thematic structures, and keyword evolution, providing insights into the Scopus-visible landscape of inclusive education research in Indonesia. The results indicate a significant growth in publication output and reveal that Universitas Pendidikan Indonesia, Universitas Negeri Yogyakarta, Universitas Djuanda, Universitas Negeri Jakarta, and Universitas Negeri Malang are the most productive institutions in this field. The thematic analysis identified three dominant research themes, namely Pedagogical Capacity Development, Learner Participation Dynamics, and Equity Governance Frameworks. Furthermore, overlay visualization revealed “Disability Policy” and “Madrasah” as emerging topics with strong novelty potential, indicating a shift toward policy-related and institutional perspectives in inclusive education research. In conclusion, inclusive education research in Indonesia has experienced substantial development and thematic diversification, with future studies encouraged to further explore disability-related policies and inclusive practices in madrasah settings.
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.

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