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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 358 Documents
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Developing Industry-Relevant Soft Skills Through Peer-Engaged Project Approach (PePA): A Vocational Education Perspective Prasetya, Tri Adi; Munadi, Sudji; Sukardi, Thomas; Setiyawan , Andri
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7146

Abstract

The development of soft skills remains a critical challenge in vocational education, as the curriculum often prioritises technical competencies while neglecting systematic integration of interpersonal skills. This study aims to develop and evaluate the Peer-Engaged Project Application Model (PePA), a project-based learning framework designed to enhance communication, teamwork, and problem-solving through structured peer engagement. Employing a Research and Development (R&D) approach based on the ADDIE model, the research was conducted in the D4 Mechanical Engineering Program at Yogyakarta State University. The PePA model was tested on a group of 15 students in the Fabrication Construction Practices course. Data were collected through Likert-scale questionnaires, structured observations, and semi-structured interviews, and analysed using descriptive and inferential statistics, along with qualitative techniques. The implementation of PePA resulted in improved performance in soft skills, with average scores increasing from 3.03 to 3.65 (communication), 3.20 to 3.78 (teamwork), and 3.13 to 3.70 (problem-solving). The model was also rated as “very valid” by expert evaluators, with an average validation score ranging from 3.58 to 3.85. These findings suggest that PePA is a feasible and effective learning model for strengthening vocational students' soft skills in alignment with industry expectations. The model has potential applicability beyond engineering education and supports policy recommendations for integrating soft skills into vocational curricula.
Implementation of Software For Efficient Inventory Management at A National Peruvian University Velasquez-Jimenez, Linett; Marrujo-Ingunza, Claudia; Rubiños-Jimenez, Santiago; Grados-Gamarra, Juan; Grados-Espinoza, Junior
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7151

Abstract

This study presents the design and implementation of a multiplatform inventory management system developed for a public university in Peru, aiming to improve process efficiency and user satisfaction. Following an agile development methodology (SCRUM), the system was designed using modular architecture and responsive interfaces to ensure compatibility across devices and browsers. The usability evaluation was carried out using the CSUQ questionnaire, and the results were transformed to the SUS scale to assess the overall experience. A descriptive quantitative methodology was used, supported by surveys and technical compatibility testing. The findings reveal high user satisfaction, a SUS score of 93.75 ("Best imaginable"), and strong performance across all functionalities, particularly in navigation and inventory tracking. These results confirm the effectiveness of agile development in higher education contexts and highlight the importance of user-centered design in administrative systems.
Social Media Marketing and Business Performance: Analyzing The TOE Framework and Relational Capability Hafizni, Rihan; Lita, Ratni Prima; Yeni, Yulia Hendri; Syafrizal, Syafrizal
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7155

Abstract

The rapid growth of social media is presenting micro and small enterprises (MSEs) with new opportunities to expand the market reach, strengthen customer engagement, and enhance competitiveness. In Indonesia where MSEs dominate the business landscape, government initiatives strongly motivate digital adoption while the practical and strategic use of social media marketing (SMM) remains limited. Therefore, this study aimed to investigate the impact of SMM adoption on business performance by extending the Technology–Organization–Environment (TOE) framework with relational capability (RC) as a mediating construct. A quantitative design was adopted using Structural Equation Modeling (SEM) with Smart PLS 4 on survey data from 300 food-based MSEs in Central Java. The results confirmed that organizational and environmental factors significantly influenced behavioral intention and strongly predicted SMM usage. SMM was also found to have a positive impact on both RC and business performance, while RC served as a significant mediator between SMM and performance. This study contributed theoretically by integrating TOE and RC to explain digital adoption outcomes in resource-constrained contexts, and practically by outlining the need for digital upskilling and relationship-building strategies to maximize the performance benefits of SMM adoption.
Optimizing MSME Product Authenticity Verification Using Serverless Event-Driven Microservices on Hybrid Blockchain Architecture Zulkarnain, Adnan; Yusuf, Roby Firnando
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7167

Abstract

The rapid proliferation of counterfeit products poses critical risks to Micro, Small, and Medium Enterprises (MSMEs), eroding consumer trust and hindering market competitiveness. This study proposes a Serverless Event-Driven Microservices Hybrid Blockchain Architecture to enable real-time, cost-efficient MSME product authentication. The architecture integrates Solana blockchain, leveraging its high throughput and low transaction fees, with AWS Lambda–based serverless microservices and Redis in-memory caching to enhance scalability and responsiveness. The system was empirically evaluated across transaction loads ranging from 1,000 to 100,000, measuring throughput, latency, scalability, and cost efficiency. Experimental results demonstrate that the proposed framework achieved up to 970 transactions per second (TPS) with average latency between 12 and 32 ms, while reducing operational costs by approximately 80 % compared with traditional monolithic systems. Statistical validation confirmed the reliability of performance gains (p < 0.001), and regression analysis (R² = 0.97) indicated near-linear scalability under increasing workloads. These findings substantiate the architectural advantages of combining serverless elasticity, event-driven orchestration, and hybrid blockchain consensus, resulting in a self-scaling, fault-tolerant verification platform suitable for MSME environments. The framework establishes an empirically grounded pathway for practical blockchain adoption in resource-constrained ecosystems and provides a foundation for future extensions involving edge computing, predictive caching, and cross-chain interoperability.
Fine-Tuning Whisper Model for Mandar Speech Recognition: Approach and Performance Evaluation Jafar, Jafar; Tb, Mar Athul Wazithah; Aziz, Firman; Iriany, Rosary; Nasir, Norma
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7170

Abstract

This research focuses on the development of speech recognition technology for the Mandar language, a regional language in Indonesia with limited digital resources. The main challenge lies in the lack of local datasets and the minimal representation of the Mandar language in existing multilingual speech recognition models. This study aims to enhance the performance of Automatic Speech Recognition (ASR) systems by fine-tuning the Whisper model using a Mandar-specific dataset. The dataset consists of 1,000 audio recordings with various dialects and recording qualities, which underwent preprocessing steps such as segmentation, normalization, and data augmentation. Fine-tuning was conducted using supervised learning methods with hyperparameter optimization, resulting in a reduction of Word Error Rate (WER) from 73.7% in the pretrained model to 37.4% after fine-tuning, and an increase in accuracy from 26.3% to 62.6%. The optimized model was also compared with other ASR models, such as DeepSpeech and wav2vec 2.0, demonstrating superior performance in terms of accuracy and time efficiency. Further analysis revealed that recording quality and dialect variations significantly impacted model performance, with high-quality recordings and standard dialects yielding the best results. The model was implemented as a web application prototype, enabling efficient and near real-time transcription of Mandar speech. This research not only contributes to the development of ASR technology for low-resource languages but also opens new opportunities for preserving and utilizing the Mandar language through digital technology. For future improvements, larger datasets, more advanced augmentation techniques, and the exploration of additional language model integration are recommended.
Clustering Analysis of Patchouli Plantations for Sustainable Patchouli Oil Supply Chain Using K-Means Algorithm Maizi, Hazful; Sentia, Prima Denny; Ambartiasari, Geta; Erwan, Friesca
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7188

Abstract

Growing demand for patchouli oil has undoubtedly become an opportunity for the patchouli industry, particularly in Aceh, which supplies about 80% of Indonesia’s patchouli oil in the global supply chain system. However, the opportunity is often misguided by farmers and even the government, which implements various programs related to patchouli cultivation without identifying the potential land that is suitable to be used for it. The condition indicated that not every land is suitable for patchouli cultivation. Thus, it is necessary to cluster the distribution of existing patchouli plantations. The clustering aims to identify the existing patchouli plantations that have the potential for replication. This study uses the K-Means method that combines variables (the planting land, the harvesting land, and total production) to provide information on the plantation’s potential scale in each region. The clustering measurement pointed out that the plantation in South Aceh Regency has the most potential land for sustainable cultivation, followed by several other areas included in Cluster 2 and Cluster 3. The study’s result is essential in contributing significantly to optimizing patchouli cultivation management sustainability to fulfill Aceh Province’s role as the best quality patchouli oil supplier.
Modern Language Techniques from Emerging Trends, Evaluation, Obstacles, to Prospects: Review Hussain , Samira; Alshibani, Dina; Yousif, Noor
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7219

Abstract

Languages designed for a particular application domain are known as domain-specific languages (DSLs). When compared to general-purpose programming languages (GPPLs) in their field of usage, they provide significant improvements in expressiveness and usability. In order to handle the concurrent expansion of areas like cloud-native, distributed, and modular architectures, this discipline has been undergoing enormous evolution. Finding current trends, gaps, and new prospects in the field of DSLs is the aim of this review. We use a novel approach in this review by grouping the state-of-the-art studies into several groups. Furthermore, the three primary implementation issues of DSLs abstract syntax, concrete syntax, and semantics were highlighted. In particular, they are distinguished by the functions they prioritize (modeling, visualizing), the mapping outcomes (textual/graphical symbols), and their parsing and mapping approach (external/internal) between the abstract and concrete languages. Focus on the development lifecycle while keeping up with contemporary trends, obstacles, and the assessment metrics that are employed to evaluate the DSLs. We concluded by summarizing the research overview of DSLs after integrating it with the literature.
Optimization of Convolutional Neural Network for Classification of Hydroponic Vegetable Cultivation Using Machine Learning Lubis, Arif Ridho; Prayudani, Santi; Putra, Purwa Hasan; Lase, Yuyun Yusnida
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7231

Abstract

In an effort to apply applied product innovation and support the improvement of hydroponic vegetable cultivation, it is based on several things. Among them are changes in the texture of the year, stems and vegetable quality. At this time the problems faced by hydroponic vegetable pickers, especially banyumas village youth organizations who have UMKM hydroponic vegetable cultivation. This situation will have an impact on problems and losses that result in a lack of yield and quality of harvested vegetables if not resolved quickly. The results of this study resulted in optimal accuracy performance in the classification of hydroponic vegetables with CNN, this study also successfully classified normal vegetables with vegetables affected by disease. This research produces accuracy in the first test 73% and the second test 92%.
Impact of SWCC Measurement Methods on the Numerical Investigations of Unsaturated Soils Mihoubi, Abderrahim; Benmoussa, Samir; Houam, Abdelkader; Laouar, Mohamed Salah
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7287

Abstract

The soil-water characteristic curve SWCC, also known as the soil-water retention curve SWRC, describes the relationship between soil suction and water content in unsaturated soils. Many studies rely on specific laboratory testing methods without considering their impact on numerical simulations. This research investigates the effect of different SWCC measurement techniques on numerical modeling outcomes. Soil samples from the Tebessa region were tested using three methods: the filter paper method, the osmotic technique, and the axis translation technique. Numerical simulations were then conducted using FLAC software to analyze the influence of these methods on the hydromechanical properties of unsaturated soils and slope stability under two days of wetting conditions. The results indicate that the selected SWCC measurement method significantly affects the predicted vertical suction profile and influence the factor of safety (FOS) in slope stability analysis. This suggests that while accurate suction measurements are crucial for understanding soil behavior, their overall impact on slope stability predictions varies depending on the testing technique employed.
Investigating The Influence of Aquatic Algorithms on Underwater Wireless Routing Beyond Surface Constraints Aziz, Hamdi; Istikmal, Istikmal; Munadi, Rendy
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): 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.v7i1.7298

Abstract

Underwater Wireless Sensor Networks (UWSNs) play a vital role in ocean monitoring, seismic activity tracking, and environmental observation, yet their performance is hindered by high propagation delay, limited bandwidth, and dynamic topological variations. This study conducts a comprehensive comparative analysis of aquatic algorithm on three prominent UWSN routing protocols—Vector-Based Forwarding (VBF), Depth-Based Routing (DBR), and Flood Routing—to evaluate their Quality of Service (QoS) performance in terms of delay, throughput, and packet loss under varying conditions of node density (20–100 nodes), communication distance (50–200 m), and deployment depth (0–200 m). Simulation data were generated using the Aqua-Sim framework in NS-3, ensuring a controlled and reproducible evaluation environment. The results indicate that VBF consistently achieves the lowest delay (0.0676 s at 20 nodes; 0.0769 s at 100 nodes) and the highest throughput (1772.80 bps at a depth of 51–100 m), making it the most efficient protocol for real-time and latency-sensitive applications. However, VBF experiences moderate packet loss (up to 57.34% in dense networks) due to its constrained forwarding region. DBR exhibits higher delay (0.1420 s at 151–200 m) and the greatest packet loss (85% at a 50 m distance), reflecting the limitations of depth-only forwarding in dynamic environments. In contrast, Flood Routing achieves the lowest packet loss (10.24% at 50 m) but suffers from increased delay (0.1063 s at 200 m) and inefficiency due to redundant transmissions. Overall, this study provides a unified performance benchmark for UWSN routing protocols, highlighting the fundamental trade-offs between efficiency, reliability, and scalability. These insights offer practical guidance for protocol selection and serve as a foundation for future adaptive and AI-driven routing strategies in underwater sensor networks.

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