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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Tedc The Indonesian Journal of Computer Science
Wahyu Adhie Candra
Politeknik Manufaktur Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary

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Computer Vision Implementation in Scratch Inspection and Color Detection on The Car Roof Surface Wahyu Adhie Candra; Adhitya Sumardi Sunarya; Wening Sukma Saraswati
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 2 (2023): 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 | Full PDF (703.097 KB) | DOI: 10.46574/motivection.v5i2.230

Abstract

The automotive industry in Indonesia is one of the important pillars in the manufacturing sector. High speed productivity and high-level quality of their products are required for increasing the company value. The car roof inspection is still in low speed and inadequate quality control method for most of the car company’s manufacturing production line. This inspection process is highly dependent to human expertise and skill of the assembly operators. This study purposes to increase the productivity in the inspection line by eliminate human error using computer vision. This research aims to find an automatic and accurate method for visual inspection of the color quality and scratch defect on car roof surfaces, using the data generated from the standardized database QR Code. The proposed solution uses MobileNet-SSD method of computer vision in recognizing scratch defects, while color detection of the roof is attained through hue saturation method. The study employs data capture from a camera and compares the amount of object inspected in real time. The scratch inspection with 70 image samples and 4000 training steps results in a 3.33% error with color detection and inspection success rate of 80%.
Design of Remote Monitoring Application on Non-Rechargeable Battery Redundant System Wahyudi Purnomo; Wahyu Adhie Candra; Gabriel Muhammad Manuel
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 5 No 3 (2023): 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.v5i3.247

Abstract

In this era of continuously evolving technology, remote monitoring has emerged as an innovative and effective solution for monitoring and managing remote areas. Design of Remote Monitoring on Non-Rechargeable Battery Redundant System proposes an improved system for multi-point to point remote monitoring, battery redundant, and communication. The study investigated the accuracy of INA219 sensor readings on the battery, the Quality of Service (QoS) of the Message Queuing Telemetry Transport (MQTT) communication protocol from multiple devices based on the TIPHON standard, and the utilization of a High-Side Bootstrap circuit for the battery redundant system. The results indicate that the INA219 sensor shows an average error of 0.64% - 1.04% for voltage and 1.17% - 2.45% for current. Quality of Service testing revealed an average delay of 40.9 - 119.7 ms with 0% packet loss, thus meeting the excellent standard. Bootstrap High-Side circuit efficiency average from all devices are 99.35% for input and 95.9% for output. Lastly, the redundant system by utilizing Bootstrap High-Side circuit achieved a 100% success rate for all devices, confirming the successful design implementation.
Rancang Bangun Prototipe Automated Guided Vehicle Berbasis Mikrokontroler Sandy Bhawana Mulia; Wahyu Adhie Candra; Mohammad Faisal
Jurnal TEDC Vol 17 No 1 (2023): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

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Abstract

Autonomatic guided vehicle (AGV) merupakan salah satu jenis robot pengangkut barang yang memiliki roda dan dapat berpindah tempat dengan panduan sensor (Abdurrahman et al., 2020). Beragam bentuk lintasan yang akan dilalui oleh robot akan mempengaruhi kecepatannya. Dalam penelitian ini menggunakan mikrokontroler robotdyn dan mengunakan sistem kendali PID untuk mengatur kecepatan dua buah motor dc yang berdampak pada posisi robot agar selalu mengikuti jalur dimana umpan balik yang digunakan yaitu sensor IR 5 channel sebagai pembaca jalur. Digunakan juga RFID untuk mengidentifikasi sektor a dan sektor b. Dari hasil pengujian AGV ini dapat mengikuti jalur yang telah ditentukan, dapat berhenti di tiap stasiun untuk proses pemindahan material dan juga dapat memenuhi faktor keamanan seperti berhenti ketika terdapat halangan di depannya.
Fish Feeding and Solar Panel Technology Implementation for the Jatiluhur Reservoir Community of Floating Net Cages Farmers Wahyu Adhie Candra; Nuryanti; Sarosa Castrena Abadi; Muhammad Nursyam Rizal
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2024): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v7i1.4169

Abstract

The Implementation of Fish Feed Technology and Solar Panels is geared towards enhancing fish farming productivity in the Jatiluhur Dam community, village of Kertamanah, Purwakarta, where substantial potential awaits but technological support is lacking. Fish farmers grapple with formidable challenges in the feeding process, including uncontrollable, uneven, and immeasurable feed distribution, resulting in a high mortality rate among the fish. To address these challenges, Community Service (PKM) activities were undertaken, involving the design of an innovative fish feed dispenser with a capacity of 20-30 kg using automatic fish feeder technology. Local partners also underwent intensive training on tool usage, maintenance, and repair. The outcomes reveal that partners can autonomously control feed dispensing through timers on control panels, utilizing remote controls, and determining feeding durations. A significant emphasis of this research lies in the incorporation of solar panels, strategically implemented to power the automatic fish feeder system. This addition enables flexible settings for feeding duration and frequency, facilitated by the integration of a timer and a remote controller for distance control. This solar panel implementation is particularly crucial due to the constraints posed by the Floating Net Cage positioned in the center of the dam. Anticipated benefits encompass heightened efficiency in fish feeding management, a reduction in fish mortality rates, and the fortification of sustainable fish farming productivity. Additionally, the integration of solar panels addresses the energy needs of the system, offering an environmentally friendly alternative in the face of restrictions posed by the cage's location. This research significantly contributes to advancing sustainable fisheries business models, effectively harnessing modern technology within the fisheries sector, and laying the groundwork for innovative policies and practices in the future.
Optimizing Book Stocktaking Process: Integration of Mobile Robot QRCode Commands with SLiMS Mohammad Harry Khomas Saputra; Pipit Anggraeni; Wahyu Adhie Candra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 5 (2024): October 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i5.5638

Abstract

This study presents a novel approach to enhance efficiency and precision in library management through the utilization of QR code technology. Integration of a mobile robot equipped with a QR code reader into the stocktake process, interfaced with the SliMS framework via an accessible API, lays the groundwork for an automated book inventory management system. This groundbreaking system enables the generation of dynamic QR code commands, facilitating seamless adjustments to bookshelf layouts. The autonomous and accurate movement of the mobile robot significantly reduces the time required for recording, allowing library staff to allocate more time to value-added tasks. The implementation of this method entailed configuring the mobile robot to navigate library aisles, scan QR codes on book spines, and transmit inventory data to the SliMS system in real time. Research findings indicate a notable decrease in inventory processing time, accompanied by an improvement in accuracy resulting from the eradication of manual data entry errors. Specifically, the calculated efficiency gain of approximately 66.81% highlights the substantial benefits of integrating the mobile robot scan QR code process compared to manual methods. In conclusion, the deployment of this automated book inventory management system, driven by QR code technology, marks a positive shift in library management practices, enhancing the efficiency of the book inventory process and overall operational effectiveness.
Simulasi Monitoring Automatic Dosing Sistem pada Mesin Vending Kopi Tubruk pada Kopi Wonosobo Purnomo, Wahyudi; Adhie Candra, Wahyu; Alfaizi, Muhammad Firdaus
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4133

Abstract

This study proposes an IoT-based system to automate and monitor the Wonosobo coffee-making process. The traditional method, involving manual mixing of coffee and sugar, often yields inconsistent results. The new system, accessible via a smartphone app, aims to improve consistency and quality by replacing human intervention with an automatic filling system. It provides real-time updates and alerts users to dosage discrepancies. The end product is a coffee vending machine with a built-in monitoring system, enhancing efficiency and allowing users to oversee the process remotely. This innovation contributes significantly to the automation technology in the coffee industry.
Co-Authors Adhitya Sumardi Sunarya Alfaizi, Muhammad Firdaus Gabriel Muhammad Manuel Mohammad Faisal Mohammad Harry Khomas Saputra Muhammad Nursyam Rizal Nuryanti Pipit Novita Anggraeni Purnomo, Wahyudi Sandy Bhawana Mulia Sarosa Castrena Abadi Wahyudi Purnomo Wening Sukma Saraswati