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Muhammad Luthfi Hamzah
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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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Performance of Corrosion Behavior of Commercial Magnesium Alloy Anode Electrode in Seawater-Powered Lamps Rezza Ruzuqi; Eko Tavip Maryanto; Muhamad Ali Ulat; Dwi Rosalina; Ar Hanung Triyono; Siswanto Siswanto
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.v6i1.5340

Abstract

The development of environmentally friendly alternative technologies, such as seawater batteries, is increasingly important in addressing energy needs. This study aims to analyze the corrosion behavior of a magnesium alloy anode electrode used in seawater batteries with varying salinity levels. Five commercial anode electrode samples were prepared, each immersed in a salt solution with different concentrations: 14g, 16g, 18g, 20g, and 22g in 380 ml of distilled water. Potentiodynamic testing was conducted to measure the corrosion potential (Ecorr), corrosion current (Icorr), and corrosion rate. The results showed that an increase in salt concentration significantly increased the corrosion rate. The sample with the highest salt concentration (22g) produced a corrosion potential of 1.5419 Volts, a corrosion current of 0.0010 Amps/cm², and a corrosion rate of 12.5850 mm/year. These findings indicate that the corrosion rate increases with higher salinity. The study concludes that there is a positive correlation between salinity and corrosion rate, with future research expected to focus on additional treatments to improve electrode performance.
Sara Detection on Social Media Using Deep Learning Algorithm Development M. Khairul Anam; Lucky Lhaura Van FC; Hamdani Hamdani; Rahmaddeni Rahmaddeni; Junadhi Junadhi; Muhammad Bambang Firdaus; Irwanda Syahputra; Yuda Irawan
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.v6i1.5390

Abstract

Social media has become a key platform for disseminating information and opinions, particularly in Indonesia, where SARA (Ethnicity, Religion, Race, and Intergroup) issues can fuel social tensions. To address this, developing an automated system to detect and classify harmful content is essential. This study develops a deep learning model using Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to detect SARA-related comments on Twitter. The method involves data collection through web scraping, followed by cleaning, manual labeling, and text preprocessing. To address data imbalance, SMOTE (Synthetic Minority Over-sampling Technique) is applied, while early stopping prevents overfitting. Model performance is evaluated using precision, recall, and F1-score. The results demonstrate that SMOTE significantly improves model performance, particularly in detecting minority-class SARA comments. CNN+SMOTE achieves a accuracy of 93%, and BiLSTM+SMOTE records a recall of 88%, effectively capturing patterns in SARA and non-SARA data. With SMOTE and early stopping, the model successfully manages class imbalance and reduces overfitting. This research supports efforts to curtail hate speech on social media, especially in the Indonesian context, where SARA-related issues often dominate public discourse.
On The Assembly Line Balancing Problem: A Simplified Perspective With The Precedence Matrix Magdy Helal; Kaushik Nag; Rifat Ozdemir
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.v6i1.5597

Abstract

The assembly line balancing problem (ALBP) has been an attractive research area for decades; however, the industrial application of the research findings remains limited. This can be attributed to the complexity of solution methods, restrictive assumptions, and the numerous variants of the problem in the real-world settings. This article describes using the precedence matrix as the basis for developing simplified, more practical analysis frameworks for the ALBP. We introduce algorithms to construct the precedence matrix from basic assembly problem data and implement it within a spreadsheet model, and to utilize this matrix in assigning the assembly tasks to workstations while ensuring assignment feasibility. The structure and potential uses of the precedence matrix-based framework are presented in detail. Furthermore, we compare selected line balancing priority rules using the proposed framework to demonstrate its effectiveness. The results suggest that the precedence matrix model is a straightforward, efficient tool for line balancing analysis, that can offer substantial support to both industry practitioners and academic researchers.
Development of A Low-Cost Analyzer for Misalignment Identification Based on Vibration and Current Analysis Dedi Suryadi; Acraz M Bahrum; Novalio Daratha; Radzi Ambar
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.v6i1.5610

Abstract

This paper proposes a low-cost analyzer based on vibration and motor current signature analysis (MCSA) using the Arduino microcontroller. Misalignment identification on induction motors with disc coupling is considered a case study. Several methods for misalignment identification have already been conducted in previous research. However, there are still issues with making the identification more reliable and well-known for further investigation. This paper describes the design and development of an analyzer for misalignment identification that is easy to use and fast utilizing a low-cost Arduino microcontroller. Furthermore, this experimental rig also consists of several additional components such as; an induction motor, shaft, and bearing dan disk coupling. In this paper, misalignment distance variables were set in 0 mm, 0.5 mm, 1 mm, and 1.5 mm, and the motor speed was varied from 500 rpm to 1500 rpm with an increment of 100 rpm.  The misalignment characteristic was experimentally achieved using an analyzer with two sensors: an accelerometer for vibration analysis and a current sensor for MCSA. As a result, a low-cost analyzer for misalignment has been successfully developed. The results show that misalignment was explicitly defined by dominant peak frequencies at 3X rpm for vibration analysis and side bands around the main frequency for MCSA. Moreover, side-band frequency increases by increasing the misalignment distance.
Fleet Control With IoT Using TLS Certificates And SIM7000G GPS Device René Cruz Guerrero; José Epifanio Rojas-Cortés; German Cuaya-Simbro; Isaías Simón-Marmolejo
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.v6i1.5642

Abstract

Companies that apply technology to monitor mobile units face several challenges such as obtaining the best precision in geolocation coordinates, having good communication quality and security in data transmission, detecting route deviations, avoiding delays in their journeys, among others. This article proposes a real-time transport fleet monitoring system that uses the Internet of Things (IoT) to contribute to some of these challenges and improve the overall user experience of the collected data. A model is presented that includes a proposal to reinforce security in data transit with MQTT using Transport Layer Security (TLS) and a study carried out with the purpose of detecting which GPS coordinate acquisition device is more precise. 368 tests were carried out in five different coordinates with SIM800, ESP32, SIM7000G considering altitude, latitude, longitude, speed, number of satellites and sending time. The device that provided the best results in coordinate accuracy was the SIM7000G, even meeting the requirements for battery life and storage capacity due to the demand required to execute TLS security certificates.
Interactive Geographic Visualization and Unsupervised Learning for Optimal Assignment of Preachers to Appropriate Congregations Rahmad Kurniawan; Ibnu Daqiqil ID; Abdul Somad Batubara; Fitra Lestari; Arisman Adnan; Fatayat Fatayat; Ilyas Husti
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.v6i1.5760

Abstract

Riau Province has a population of 6,642,874 and a diverse geography, which poses significant challenges in optimizing Islamic preaching activities. Traditional assignment methods often lead to inefficiencies due to misalignment between the preacher’s expertise and congregational needs, as well as logistical issues. This study integrates K-Means clustering and DBSCAN algorithms with interactive geographic visualization to optimize the assignment of preachers to mosques. We collected 435 data points, including 185 mosques and 250 preachers. K-Means was evaluated using the Elbow Method and Silhouette Score, identifying 10 clusters as optimal with a Silhouette Score of 0.435654. However, K-Means does not handle outliers effectively, as indicated by zero outliers in all configurations. DBSCAN was tested with various epsilon (eps) and minimum sample values. The optimal configuration with eps of 1.5 and 5 minimum samples resulted in 10 clusters with a Silhouette Score of 0.381108 and 60 outliers. DBSCAN effectively manages outliers and varying densities. Although K-Means is advantageous for its simplicity and higher Silhouette Scores, it is unable to handle outliers effectively. DBSCAN provides robust clustering for noisy data. Therefore, it can be concluded that hybridizing unsupervised learning algorithms with geographic visualization can potentially improve the effectiveness of preaching activities in Riau Province and enhance preacher assignment.
Design of Comprehensive Monitoring on Hybrid Photovoltaic and Thermoelectric Generator Using IoT Yuli Asmi Rahman; Andi Arham Adam; Samnur Samnur; Basri Basri; Khairil Anwar; Rustan Hatib; Mustofa Mustofa
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.v6i1.5764

Abstract

The study aims to design and develop a more efficient measurement monitoring system based on influential parameters for the performance of hybrid PV and TEG modules using IoT with the Thingspeak application. The parameters measured include the PV top and bottom surface temperatures and output current and voltage, the surface temperatures of the TEG's hot and cold sides, their respective current and voltage outputs, air humidity, and solar intensity. This IoT-based monitoring system experimental method utilizes two types of PV, polycrystalline and monocrystalline, each rated at 50 Wp, in a hybrid configuration with 5 TEG modules attached to the back of the solar panel. The monitoring design results indicate that sensor measurements were accurate and data readings were reliable. The temperature difference between the two sides of the TEG was measured up to 21.7°C, and the hybrid efficiency of the monocrystalline PV with TEG showed better results compared to the polycrystalline setup, achieving optimum efficiency above 6%, with the PV surface temperature maintained at an average of 50°C. Additionally, IoT monitoring revealed the effect of air humidity on TEG performance: lower air humidity resulted in a larger ?T, peaking at 21.7°C with humidity at 39.1%. Therefore, this study recommends using IoT technology for observational data collection on system performance, particularly for PV and TEG, with sensor component modifications tailored to the characteristics of the targeted sensor object.
Waste Analysis of the International Delivery Service Process Using Lean Six Sigma in Logistics Service Provider Companies Ega Rizkiyah; Hari Supriyanto; Kumara Pinasthika Dharaka; Lestary Grace; Ivana Rahmaningtyas
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.v6i1.5792

Abstract

International shipping poses challenges such as customs clearance delays, slow delivery speeds, and process bottlenecks, leading to time wasstage, increased costs, and potential profit losses. These issues impact specific processes and customer satisfaction. Lean Six Sigma offers a robust framework for identifying and eliminating waste in international shipping processes. Applying the lean service approach, we identified four key waste types in international shipping: delay, duplication, unnecessary movement, and error. However, a Pareto diagram highlighted delay and error as critical culprits, with sigma values of 1.85 for delay and 2.92, 3.46, 3.77 for the three error types, respectively. These low sigma values indicate significant room for improvement After conducting an impact analysis and failure mode analysis (FMEA), four improvement recommendations were proposed: the implementation of an online shipping form filling system, providing customs training to all counter employees, and creating SOPs for inspection processes at the warehouse. These recommendations form a roadmap for international shipping companies to embrace Lean Six Sigma, enhancing efficiency, reducing costs, and improving customer satisfaction.
Environmental Quality Impact Analysis of Settlements Bontang Kuala, East Kalimantan Province Andrew Stefano; Triyatni Martosenjoyo; Idawarni Asmal; Edward Syarif
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.v6i1.5804

Abstract

The present study seeks to elucidate the multifaceted impacts of resettlement programs on various dimensions of social and economic life within the community. The primary objectives of this investigation are threefold: 1) to assess the influence of resettlement programs on the intensity and quality of social relations; 2) to conduct a comprehensive analysis of the socioeconomic ramifications of resettlement programs; and 3) to evaluate the behavioral patterns associated with the utilization of bathing, washing, and defecation facilities. The research methodology employed in this study is based on secondary data sourced from “Bontang Dalam Angka 2023” and primary data collected through questionnaires administered to local fishermen. A random sampling technique was employed to select a sample of 50 families. The data collected, encompassing various research variables, were analyzed using descriptive analytical methods, t-tests, and Product Moment Correlation. The findings of the study indicate a significant positive impact of resettlement programs on social relations within the community. Families that promptly moved into their new residences reported enhanced levels of social interaction and engagement. Additionally, the resettlement programs demonstrated a positive influence on the socioeconomic conditions of the community, particularly in terms of the expansion of educational opportunities and infrastructural improvements. Notable improvements in learning outcomes and increased access to educational facilities emerged as key positive outcomes. Furthermore, the study reveals a marked improvement in social behaviors related to sanitation practices, particularly in the use of bathing, washing, and defecation facilities, among individuals participating in the resettlement programs. A heightened adherence to hygienic sanitation practices was observed, signifying the positive behavioral shifts prompted by the resettlement initiatives. In conclusion, the evidence suggests that resettlement programs exert a favorable influence on both the social and economic aspects of community life, while also fostering improved sanitation practices. This research contributes meaningfully to the broader understanding of the complex impacts of resettlement programs on individual and communal life.
Supply Chain Conceptual Model to Optimize a Local Food Agroindustry from the Coconut Milk Processing Meilizar Meilizar; Rika Ampuh Hadiguna; Santosa Santosa; Nofialdi Nofialdi
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.v6i1.5820

Abstract

This study uses a soft system methodology to examine the coconut milk supply chain, which supports the local food agro-industry, particularly for rendang products. It aims to develop a fundamental concept to optimize this supply chain. The proposed method is effective for addressing complex, multi-stakeholder problems. Using systems thinking, real-world system behaviour is converted into a conceptual model, facilitating decision-making through customer, actor, transformation, worldview, owner, and environment components. The findings include a conceptual model translated into a causal loop diagram, part of a dynamic systems approach, which shows the interconnections and feedbacks among variables in the supply chain, such as raw material supply, logistics costs, production volume, and distribution costs. This stage identifies stakeholders and systematically illustrates the relationships in managing the flow of goods. It provides a basis for designing a supply chain network aligned with local government policies for developing the coconut milk agro-industry. It aims to optimize the local food industry, particularly rendang, in West Sumatra province. After creating the conceptual model, gap analysis and validation were conducted, comparing the model with real-world insights from stakeholders, including coconut farmers, producers, rendang manufacturers, academic institutions, and local governments. Validation focused on efficiency, efficacy, and effectiveness. The results demonstrate the foundational idea for designing the coconut milk agro-industry supply chain network to support local food products, as depicted in the causal loop diagram.

Page 27 of 36 | Total Record : 358

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