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Dr. Remon Lapisa
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MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering
Published by Indonesian Mechanical Electrical and Industrial Research Society
ISSN : 26557215     EISSN : 26852098     DOI : -
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of mechanical, electrical and industrial enineering and science. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the MOTIVECTION follows the open access policy that allows the published articles freely available online without any subscription. Scope : Engineering and Applied Sciences - Mechanical - Electrical - Automotive - Industrial - Mining - etc.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 8 Documents
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Search results for , issue "Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering" : 8 Documents clear
IoT-Based Monitoring System for Temperature and pH Control in Cocoa Fermentation Sabila, Liya Yusrina; Dwiyono, Linggar Rahmat; Hakim, Agus Rahman; Karuana, Abi Nazli; Hakika, Dhias Cahya
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.381

Abstract

Cocoa fermentation plays a crucial role in cocoa bean production, as it directly influences the taste, aroma, and texture of the final product. Temperature and pH significantly impact microbial activity during fermentation, making their control essential for achieving optimal and consistent results. A promising solution is the implementation of an IoT-based system for temperature regulation and pH monitoring, allowing for real-time data tracking throughout the fermentation process. This study developed a cocoa fermentation box integrated with an IoT system, utilizing a DHT22 temperature sensor and a 4502C pH sensor for precise monitoring. The system enables real-time data access and remote control, improving efficiency and quality while transforming conventional manual observation methods into a standardized, data-driven approach. IoT technology facilitates rapid condition adjustments and predictive analysis, minimizing human error and reducing the risk of fermentation inconsistencies. The experimental results demonstrated high sensor accuracy, with the IoT system successfully enhancing efficiency, control, and cocoa bean quality. In the 1 kg cocoa test, temperatures ranged from 28℃ to 35℃, with pH values between 4.0 and 5.3. In the 10 kg experiment, temperatures on the second day ranged from 28℃ to 33℃ with pH values between 4.3 and 5.9, while on the third day, temperatures ranged from 28℃ to 32℃, with pH values stabilizing between 4.0 and 5.3.
Thermal Cooling of Solar Panels: Effectiveness of Copper Pipes in Temperature Regulation Ramadhan, Hanif; Jamaaluddin, Jamaaluddin; Ahfas, Akhmad; Anshory, Izza
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.407

Abstract

This study evaluates the effectiveness of a thermal cooling system utilizing copper pipes in regulating solar panel temperature and enhancing energy efficiency. The system incorporates water-fed copper pipes with an automatic valve mechanism, which controls water flow based on real-time temperature measurements. Experiments were conducted at Universitas Muhammadiyah Sidoarjo using two 100 Wp solar panels, where key parameters such as voltage, current, power output, and surface temperature were monitored. The results demonstrate that the cooling system effectively lowers panel temperature, leading to significant improvements in voltage and power generation. The cooled solar panel achieved a maximum efficiency of 43.7%, compared to only 24.07% without cooling. Additionally, the cooling system stabilized maximum power voltage (VMP) and maximum power output (PMAX), preventing performance degradation due to excessive heat accumulation. These findings confirm that integrating a copper pipe thermal cooling system enhances solar panel efficiency, providing a viable solution for improving photovoltaic energy conversion and ensuring long-term operational stability.
Development of an IoT-Based Smart Home Prototype Using the Blynk Application Adi Pramana, I Gusti Bagus; Akbar, Lalu A. Syamsul Irfan; Ramadhani, Cipta
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.424

Abstract

The advancement of Internet of Things (IoT) technology has enabled the development of smart home automation systems that enhance comfort, security, and energy efficiency. This study aims to design, develop, and evaluate an IoT-based smart home prototype utilizing the Blynk App for remote monitoring and control. The system consists of various components, including an ESP32 microcontroller, relays, and an LDR sensor, which facilitate both automatic and manual light control. A prototype development approach was employed, encompassing system design, implementation, and testing. The experimental results demonstrate that the smart home prototype operates efficiently, with an average response time of 73.4 ms, indicating fast and reliable system performance. The integration of Blynk Cloud security protocols further ensures secure device communication and real-time monitoring. This research provides a functional smart home prototype that can serve as a foundation for future smart home innovations. Moreover, the system's ability to optimize energy usage and improve user convenience highlights its potential impact on sustainable living and smart home advancements.
Seismic Analysis of Minimum Separation Distance for Low-Rise Buildings in Padang City to Prevent Structural Collisions Pratama, Ardi; Masrilayanti, Masrilayanti; Kurniawan, Ruddy; Apdeni, Risma
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.427

Abstract

This study examines the minimum effective separation distance between buildings necessary to avert structural damage from building pounding in Padang City, an area particularly vulnerable to seismic events. The study examines 45 structures throughout five districts, classified into three categories according to their height-to-width (H/L) ratio: (0.5–1.0), (1.1–1.5), and (1.51–2.0). Three pairs of ground acceleration records—Imperial Valley-06, Tokachi-Oki Aftershock, and Tokachi-Oki Mainshock—were selected and calibrated to align with the target response spectrum of Padang City using linear time-history analysis. The research assesses structural displacement capacity and drift ratio to ascertain the necessary minimum separation distances. The findings reveal that the minimum separation distance for Category A (H/L: 0.5–1.0), Category B (H/L: 1.1–1.5), and Category C (H/L: 1.51–2.0) spans from 40 cm to 48.4 cm, with a suggested practical separation of 50 cm per building. A separation distance of 1 meter is recommended to reduce the risk of structural collisions during earthquakes. These findings serve as a technical reference for urban planners, engineers, and legislators, facilitating safer building designs, enhanced seismic resilience, and diminished structural damage in earthquake-prone regions.
Optimizing Child Part Inventory Management Using ABC Analysis and Safety Stock Calculation at PT ZYX Adien, Aisyah Nurfadillah; Nisah, Firda Ainun
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.429

Abstract

Efficient inventory management is essential for facilitating seamless manufacturing at PT ZYX, especially in managing child part stocks from several vendors. Suboptimal inventory management may result in stock deficits or surpluses, affecting production continuity and operational expenses. This study seeks to evaluate kid part inventory according to its strategic significance and establish safety stock levels for category A goods. The ABC classification approach was utilized to categorize inventory according to significance, and safety stock analysis was performed to determine ideal stock levels for essential items. The findings reveal that among 35 child components, 8 things are classified as category A, 4 items as category B, and 23 items as category C. The maximum safety stock value was identified in child component ID 70025 at 2,891 pieces, whilst the minimum was recorded for ID 70002 at 248 pieces. These findings offer a systematic inventory management strategy that enables the organization to enhance stock control, reduce expenses, and increase operational efficiency. The adoption of ABC categorization and safety stock analysis is anticipated to improve inventory management, facilitating a more efficient supply chain and superior resource allocation.
A Comparative Study of Human Reliability Assessment using Success Likelihood Index Method (SLIM) and Human Error Assessment & Reduction Technique (HEART): A case study from a Boeing 737 Max Accident Ramdhan, M Zaki; Rizq, Daffa Abyan; Senna, Ayrton; Ramadhani, Adhitya Ryan
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.431

Abstract

The accurate assessment of Human Error Probability (HEP) is crucial for aviation safety, especially in complex systems such as the Manoeuvring Characteristics Augmentation System (MCAS). This study compares two widely used human reliability analysis methods, HEART (Human Error Assessment and Reduction Technique) and SLIM (Success Likelihood Index Method), to evaluate their effectiveness in identifying and quantifying MCAS-related human errors. The results indicate that HEART is highly sensitive to human and organizational factors, as in Error Mode 5, where the calculated HEP is 0.164. In contrast, SLIM focuses more on system design and interaction reliability, yielding a significantly lower HEP of 0.0049. The comparative analysis highlights the strengths and limitations of each method, suggesting that a hybrid approach could improve the accuracy of human error assessments in aviation, leading to more effective risk mitigation strategies.
Workload Analysis Using the NASA-TLX Method on Mechanics at PT Statika Mitrasarana Padang City Joni, Rahmi Rahmahwati; Milana, Milana; Fernandez, Donny; Saputra, Hendra Dani
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.436

Abstract

Companies that own heavy equipment require regular maintenance. The amount of workload received by mechanic in the repair and maintenance section of heavy equipment units causes them to experience physical fatigue and frustration due to the workload and working hours being conducted outside of normal working hours. This study aims to determine the workload of mechanic at PT. Statika Mitrasarana. Data collection was carried out through direct observation of the mechanic, distribution of questionnaires, and interviews regarding the workload. The analysis of workload was conducted using the National Aeronautics and Space Administration Task Load Index (NASA TLX) method. From the results of the mechanic workload, an overall average of 83.6 was obtained. The highest workload has an average of 92.66 and the lowest 65.33. On the most dominant indicator of workload the physical demands have an average of 348. The measurement findings can help management consider additional steps, such as reducing and redistributing the mechanic workload.
Implementation of Inverter and Modbus RTU RS-485 Communication in Controlling Induction Motor Speed Mas’ud, Ibnu; Anshory, Izza; Jamaaluddin, Jamaaluddin; Wisaksono, Arief
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 1 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i1.451

Abstract

As industrial technology continues to advance, the demand for efficient and automated motor control systems is increasing. Three-phase induction motors are widely used due to their durability and efficiency. However, controlling their speed remains a challenge, especially in small-scale applications without expensive systems. Therefore, a precise, affordable, and easy-to-implement motor control solution is needed. This study discusses the implementation of a three-phase induction motor speed control system using the LS G100 inverter and LS XBM-DR16S PLC through the Modbus RTU RS-485 communication protocol. The system is designed without additional expansion boards to simplify the circuit and reduce costs. The methodology used is an engineering and experimental approach, focusing on the measurement of motor electrical parameters such as actual speed (RPM), frequency, voltage, and current. Test results show that the system is capable of precisely controlling motor speed, with an average RPM accuracy of 99.6%, voltage accuracy of 97.2%, and current accuracy of 91.1%. The system has proven to be reliable and efficient for small to medium-scale industrial automation applications and facilitates real-time troubleshooting and monitoring through integrated data communication.

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