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Journal of Applied Engineering and Technological Science (JAETS)
Published by Yayasan Pendidikan Riset dan Pengembangan Intelektual
ISSN : 27156087     EISSN : 27156079     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Journal of Applied Engineering and Technological Science (JAETS) is published by Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI), Pekanbaru, Indonesia. It is academic, online, open access, peer reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. Journal of Applied Engineering and Technological Science (JAETS) is published annually 2 times every June and Desember.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 410 Documents
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Why Digital Capabilities Alone Don’t Drive SME Performance: The Mediating Role of Process Innovation in Retail SMEs Nurul Binti Samsuden; Alhamzah F. Abbas; Nor Amira Syairah Zulkarnain; Wai Chuen Poon; Ummu Ajrah Abdul Rauf
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/6x82ry42

Abstract

This study explores the role of digital capabilities (DC) in enhancing the business performance (BP) of retail SMEs in Johor, Malaysia, with a particular focus on the mediating effect of process innovation (PI) and the moderating role of competition intensity (CI). Despite the rising relevance of digital transformation, retail SMEs in Johor, Malaysia, continue to face structural constraints, including limited technological readiness, skill shortages, and intensified competitive pressures. Using primary data from 371 retail SMEs, this study employs Partial Least Squares Structural Equation Modelling (PLS-SEM) to test a multidimensional model grounded in the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT). The findings reveal that while DC do not exert a direct influence on BP, they significantly enhance PI, which in turn fully mediates the impact on performance. CI does not significantly moderate the relationship between DC and business outcomes. These results suggest that the BP benefits of DC are only realised through innovation-enabling mechanisms rather than direct technological adoption. The study underscores the importance of investing in internal innovation processes and strategic integration to translate digital potential into sustained competitive advantage within the retail SME context.
Adoption of Berastagi Verse in Mobile Metaverse Learning: Extending TAM With Immersion and Cultural Value Rian Farta Wijaya; Randi Rian Putra
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.10584

Abstract

This study examines user acceptance of Berastagi Verse, a Roblox-based mobile metaverse learning platform that reconstructs tourism destinations in Berastagi, Indonesia, for cultural learning. The study extends the Technology Acceptance Model by adding immersive experience and cultural value as predictors of behavioral intention. A purposive sample of 180 respondents who used the platform on smartphones completed a questionnaire after interacting with the system. Data were analyzed using PLS-SEM. Perceived ease of use positively influenced perceived usefulness, and both constructs positively predicted behavioral intention. Immersive experience and cultural value also had significant direct effects on intention. The model explained 64.2% of the variance in behavioral intention, suggesting meaningful explanatory power for this context. The findings indicate that mobile metaverse learning is adopted not only for usability and usefulness, but also for the extent to which it feels immersive and culturally relevant. For educational designers, the results suggest that mobile learning platforms should combine intuitive interaction, clear pedagogical value, and culturally authentic content when seeking user adoption.
Current State of Innovation and Management Control, Ready Made Garments Industry Towards Circular Economy Mohammed Masum Billah; Mohd Helmi Ali; Syed Shah Alam; Mazzlida Mat Deli
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.10593

Abstract

This study investigates the impact of innovative strategies and management control systems (MCS) on the implementation of circular economy (CE) practices within Bangladesh’s ready-made garment (RMG) sector. Utilizing the Resource-Based View (RBV), Natural Resource-Based View (NRBV), and Stakeholder Resource-Based View (SRBV), the study constructs a comprehensive framework that differentiates between internal innovation capabilities and externally acquired knowledge. Data were gathered from 142 management-level professionals using a standardized questionnaire and analyzed using PLS-SEM. The results indicate that open innovation and management control systems significantly enhance CE adoption, but green product and process innovation have favorable yet statistically negligible correlations. Moreover, MCS does not substantially influence the link between innovation and CE. The results indicate that, in buyer-driven and compliance-intensive sectors, the adoption of a circular economy is predominantly influenced by institutional factors rather than by organizational capabilities. The research enhances theoretical understanding by illustrating the contextual constraints of NRBV in low-autonomy supply chain settings and emphasizing the preeminent influence of external collaboration and compliance-driven governance. The findings indicate that organizations ought to prioritize strategic relationships and organized control systems rather than solitary internal innovation efforts to expedite circular transformation.
Operational AI Opportunity Formation in Small Industry: A TOE-DOI Explanation Ikhwan Arief; Prima Fithri; Angelina Ajeng Masayu; A Aisyah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.10664

Abstract

Artificial intelligence (AI) is increasingly accessible to small firms, but prior studies mainly explain readiness, adoption, or downstream value rather than the stage at which AI first becomes visible as an operational opportunity. This study examines that upstream stage in small industrial firms by combining technology-organization-environment (TOE) antecedents with diffusion of innovation (DOI) outcomes. A purposive, census-oriented survey was conducted on the official West Sumatra small-industry frame. The final dataset contains 51 usable responses from 69 registered small industrial firms, equal to 73.91% official-frame coverage, and was analyzed with PLS-SEM in SmartPLS 4. A conservative rerun removed one weak infrastructure indicator while retaining the same inner model. The main supported path is human resources and digital literacy to observability (β = 0.609, p = 0.001, f² = 0.318), followed by governance, strategy, and budget support to observability (β = 0.447, p = 0.030, f² = 0.179). Observability reaches R² = 0.496, whereas infrastructure, data management, competitive pressure, and ecosystem support do not show comparable direct effects. The findings indicate that early AI opportunity becomes visible mainly through interpretive workforce capacity and bounded managerial support.
Early Detection of Foetal Pathological Conditions with Neural Network Method: Implementation of Backpropagation Neural Network and SMOTE on Cardiotocography Data Elin Haerani; Fadhilah Syafria; Novriyanto Novriyanto; Ismail Marzuki
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/3n6z5n26

Abstract

This research focuses on the development of an effective classification model for early detection of foetal pathological conditions using Cardiotocography (CTG) data by utilising the Backpropagation Neural Network (BPNN) method. The high maternal mortality rate (MMR) and infant mortality rate (IMR) in Indonesia, including Riau Province, emphasise the importance of accurate prenatal diagnosis. The main challenge of this research is to address the class imbalance issue in the CTG dataset, which is biased towards the Normal class (77.9%) compared to the Suspect (13.9%) and Pathological (8.2%) classes. This problem was addressed by applying the Synthetic Minority Oversampling Technique (SMOTE). The model's performance was evaluated using K-Fold Cross Validation (5-Fold and 10-Fold). The test results showed that the combination of BPNN and SMOTE significantly improved performance, achieving a highest average accuracy of 92.66% and a maximum accuracy of 94.84% in the 10-Fold Cross Validation scheme. The resulting model is stable, has a high generalisation capability, and has great potential to be integrated into an Artificial Intelligence (AI)-based Clinical Decision Support System (CDSS) to support evidence-based health policies in reducing Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR).
The Geographic Factors-Based Optimization of National Flight Hub Airport Locations for Enhances Aviation Safety Standard Dwi Lestary; Dhian Supardam; Ocky Soelistyo Pribadi; Direstu Amalia
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.6023

Abstract

Indonesia's strategic geographical location and conditions are a result of its archipelagic status. Indeed, this significantly impacts the livelihoods of Indonesians, particularly in the area of transportation. In order to facilitate the mobility of individuals between islands, the government constructed transportation infrastructure and facilities. This will serve as a reference for government regulations that aim to reduce inequality, specifically in the development and distribution of products and services outside Java, particularly in Papua. The primary objective of this research is to conduct a connectivity analysis as an initial step towards optimizing the transportation network and determining the level of connectivity between Indonesian provinces through air transportation. Next, the researchers will study the existing air transportation network's structure to understand its characteristics clearly. It will be helpful material for formulating optimization and network management scenarios. The structuring pattern in question is the application of the hub-and-spoke network concept. The hub-and-spoke network pattern focuses on optimization problems from the perspective of economies of scale. The researchers optimized the provincial capital airport's location to establish a hub airport and subsequently refined the analysis results to enhance the efficiency of the new flight service network. The above steps will compare air travel performance before and after the network arrangement scenario. Indicators for the network connectivity level will also be present, indicating that the final product optimization is now ready for verification. The target of this research is to produce a concept or optimize the location of airport hubs through a comprehensive study taking into account geographic factors and conducting an analysis of the location of National Aviation Hub airports, which is the novelty of this research.
A Non-Contact Height Measurement Method Using Mediapipe and Yolov8 in a Three-Dimension Space Phu Nguyen Trung; Dat Dong Quoc; Kien Nguyen Phan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.8798

Abstract

Accurate human height measurement is an essential clinical parameter for calculating body mass index and assessing patient health status. However, traditional contact-based or manual methods are impractical for patients with limited mobility or during emergency conditions. This study addresses this limitation by developing a non-contact 3D height estimation system using a smartphone-based vision approach. The system employs MediaPipe to extract skeletal landmarks and a regression model to predict human height from bone segment lengths and a reference object. Experimental evaluation on 166 subjects across multiple positions demonstrates a high accuracy with an average error rate of 1.54 ± 0.64%, outperforming most existing camera-based systems. The proposed method offers a practical, low-cost, and portable solution for medical height assessment, particularly beneficial in clinical and emergency settings. Potential limitations include dependence on camera angle and lighting conditions, which will be addressed in future work.
Development of Potato-Derived Carbon Nanofibers as Sustainable Moisture-Regulating Supporting Layers for Photovoltaic Modules Indri Dayana; Habib Satria; Nidya Chitraningrum; Mega Puspita Sari; Tino Hermanto; Yopan Rahmad Aldori; Dadan Ramdan; Syofyan Anwar Syahputra; Dina Maizana; Moranain Mungkin; Junaidi Junaidi; Ade Irma Sagala; Siti Utari Rahayu
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9175

Abstract

Moisture-induced degradation remains a critical reliability issue in photovoltaic (PV) modules, particularly in humid tropical climates. While biomass-derived carbon materials have been widely investigated for electrochemical applications, their use as functional supporting layers in PV modules remains limited. This study develops potato-derived carbon nanofibers through moderate-temperature carbonization (700 °C, N₂ atmosphere) followed by electrospinning. Structural and chemical properties were evaluated using XRD, FTIR, Raman spectroscopy, and BET surface area analysis. Morphology and fiber diameter distribution were examined via SEM. Electrical conductivity was measured using a four-point probe method. Water vapor permeability (WVP) and biodegradation behavior were assessed to evaluate durability and moisture regulation capability. The synthesized material exhibits predominantly amorphous turbostratic carbon with characteristic D and G Raman bands (ID/IG ≈ 0.92), specific surface area of 186 ± 12 m²/g, and electrical conductivity of 3.8 ± 0.4 S/m. Nanofiber diameters range from 72–108 nm (mean ± SD). Controlled WVP (3200–4100 mg/day/L) and moderate biodegradability (8–12% mass loss over 14 days) indicate balanced vapor diffusion and structural integrity. The results demonstrate the feasibility of potato-derived carbon nanofibers as sustainable moisture-regulating supporting layers in photovoltaic modules.
Regarding the Features of Water Flow Interaction with a Rotor Turbine Kazbek Orazbayev; Assel Yerkongyr; Rakhimash Abitayeva; Gulmira Sakhmetova; Balnur Shashubay
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9780

Abstract

The increasing demand for efficient energy production in Kazakhstan underscores the significance of optimising rotor turbines used in gravitational water vortex micro-hydroelectric power plants (MWV-MHPPs). This study addresses the challenges in rotor-flow interaction, focusing on improving turbine efficiency and mitigating performance errors. The research gap lies in the limited understanding of rotor dynamics in relation to varying water flow conditions, which directly impact turbine output. This study employs computational fluid dynamics (CFD) modelling and experimental testing to analyse the interaction between water flow and rotor turbines, focusing on key performance indicators such as torque, head loss, and flow characteristics under different operational conditions. The results indicate a 15% improvement in torque efficiency and a 10% reduction in head loss with optimised turbine blade design, compared to traditional configurations. The study also uncovers significant design flaws in existing MWV-MHPPs, contributing to energy inefficiencies in Kazakhstan’s renewable energy sector. This work proposes specific recommendations for turbine design, including enhanced blade geometry and flow regulation strategies, to mitigate these issues. The findings offer practical insights for the development of sustainable, off-grid energy solutions, contributing to the country’s energy security goals. By addressing the interaction between water flow and rotor turbines, this research advances the understanding of turbine optimisation for small-scale hydropower plants.
The Optimisation of Technological Parameters of Centrifugal Impact Crushers for Grain Grinding Natalya Kamysheva; Ayap Kurmanov; Vladimir Sapa; Serik Akhanov
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.10302

Abstract

This study aims to increase the energy efficiency and product uniformity of centrifugal impact crushers for feed grain processing through targeted optimisation of technological parameters. A direct-impact mechanism was implemented by profiling the stationary impact lining with an involute tooth geometry that ensures grain collisions at a 90° angle, minimising kinetic energy losses. Experimental tests were conducted on pea grain (moisture 11.6%) using a prototype crusher developed at Kostanay Regional University. Rotor speed was set at 2000 rpm, throughput maintained at 400 kg/h. The optimised crusher achieved a specific energy consumption of 2.89 kWh/t, which is 22% lower than a conventional impact crusher of similar capacity. The crushed product had an arithmetic mean particle size of 1.31 mm with 85% of particles within the 0.5-1.5 mm range, meeting zootechnical standards. Theoretically, this work refines comminution models by quantifying the effect of impact angle on breakage efficiency and provides a design criterion (involute profile with 47°-56° contact angles) for normal-impact crushers. Practically, the prototype offers a low-energy, high-uniformity solution suitable for feed mills and can be retrofitted into existing machines. The main contribution is the experimental validation that deliberate alignment of impact geometry reduces specific energy by over one-fifth without sacrificing throughput or quality, opening a new direction for energy-efficient grinder design.

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