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Pengendalian Robot Humanoid Menggunakan Metode Speech Recognation Berbasis Android Hendy Rudiansyah; Gun Gun Maulana; Atep Puja T H
Jurnal Teknologi dan Rekayasa Manufaktur Vol 2 No 1 (2020): Vol 2 No 1 (2020): Volume: 2 | Nomor: 1 | April 2020
Publisher : Pusat Pengembangan, Penelitian dan Pengabdian kepada Masyarat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v2i1.14

Pengendalian Robot saat ini memerlukan sistem kontrol yang dapat memudahkan interaksi antara manusia dan robot sehingga dalam hal ini dibutuhkan sebuah sistem pengendalian dengan perangkat yang banyak digunakan dalam kehidupan sehari-hari yaitu Smartphone dengan Sistem Operasi Android. Penelitian ini bertujuan untuk merancang dan membuat sistem pengendalian robot humanoid dengan memanfaatkan smartphone android sebagai media komunikasi dan intruksi dengan menggunakan perintah suara. pada Android serta sebagai data perintah pergerakan robot humanoid yang ditransmisikan secara online melalui Firebase yang berarti Aplikasi Smartphone dan Robot harus terkoneksi internet. Perangkat pengolah data yang digunakan pada robot adalah Raspberry Pi 3 Model B dengan protokol komunikasi serial dalam mengirim data pergerakan ke motor servo. Hasil penelitian menunjukan bahwa robot dapat dikendalikan dengan perintah suara secara jarak jauh pada Smartphone, serta mudah dioperasikan tanpa membutuhkan perangkat khusus, dari hasil uji kecepatan pengiriman data yaitu rata-rata 5,58 detik dengan kecepatan internet sebesar 7,79Mbps, kemudian penangkapan suara rata-rata error sebesar 1,86%.

Activation Control System in Motorized Vehicles Using the Global Positioning System (GPS) Aris Budiyarto; Abdur Rohman Harits Martawireja; Mohammad Harry Khomas Saputra; Gun Gun Maulana
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.39663

In Indonesia, the theft rate is still quite high. According to Bappeda data, cases of theft still tend to be high. In 2019, there were 362,000 cases of theft. CCTV use is still ineffective because at the time of the theft of goods, we only know the goods taken and the perpetrators. In order to catch the perpetrators and return the goods, it is necessary to process them first and find the location of the perpetrators themselves. Therefore, we propose an idea entitled "Activation Control System in Motorized Vehicles Using GPS". Where this tool will detect the position of a vehicle so that this vehicle remains in a restricted area. When this vehicle leaves the restricted area, the GPS system will send a signal explaining that the vehicle is leaving the area. So, if there is a theft, when the vehicle has moved away from about 50 meters from the area that has been locked, a notification will appear which will be displayed on the web application. The research stages that we will work on are first identifying the equipment and systems that will be used and conducting a study of the technology literature that will be developed, then identifying the theoretical and empirical system design and knowing the basic elements. Then master and understand the characterization of components and analyze the main functions so that they can work properly. Then do modelling and simulation and ensure that the components to be developed can work properly. And the final stage is to ensure that the system equipment is valid and reliable. Based on the results of the study, it shows that the system is active when the actual position away from the locked position/area as far as 100 meters has successfully functioned. Where the information changes to "Out of reach" from the previous "Within Reach" and there are notifications in the form of sound and vibration to increase security from theft.

Automation Storage System Based On SCADA Using PLC CP1H and CP1L Gun Gun Maulana; Ridwan Mada; Regim Ramaya Purba
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

The warehousing system is a means of supporting production activities and industrial operations that function to store goods to be distributed, which are still using a manual system and must adapt to technological developments. The problem that often arises in the warehousing system that is still done manually is that the flow of goods into the warehouse is not well organized, and this makes it difficult when the goods are about to be removed, so it requires a longer search time. Previous research has shown actual data on storage racks that use Arduino Mega as a controller and VB as an interface, but there is no actual data on the state of the lifter or the selection of lifter movement speed modes to facilitate operators in monitoring and operating goods storage. Control systems with industry standards greatly affect the effectiveness and optimization of the production process. Based on these problems, this research aims to simplify the managerial and monitoring process in the warehouse with a prototype of automatic multilevel storage using PLC CP1H and CP1L as system control and Wonderware Intouch as an interface with the SCADA system. The prototype has 12 cells, and each cell can accommodate 2 boxes; each cell is distinguished by the height and color of the box. In testing this research, the SCADA system can work optimally. The interface is capable of displaying the actual data of the rack with a success rate of 100%, the hardware error rate is less than 1%, and the interface can display the actual data on the state of the lifter.

Defect Detection System on Stamping Machine Using the Image Processing Method Nur Wisma Nugraha; Suharayadi Pancono; Gun Gun Maulana
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

Quality products are very influential in creating profits for the company and are also closely related to the level of customer satisfaction. The higher the quality of the products produced by a company, the higher the satisfaction felt by consumers. The biggest challenge in the production process is achieving good quality with a product defect rate close to zero defect. Defects in the product are usually small. This is of course very difficult for workers to inspect each product for a long time. Thus, manual inspection is certainly ineffective and inefficient because humans have a saturation point and get tired if they work for a long time. Previous research on detecting defective objects using image processing has been carried out but has not been able to detect up to the shape and size, while in this study it can detect up to the shape and size. Therefore, to implement an automatic product defect detection system we will use image processing and RFID technology. Image processing is processing on the image using a computer so that the image quality becomes better and produces value information for each color. Image processing techniques consist of image conversion from RGB to grayscale, thresholding (binarization), and morphological operations (segmentation). While RFID is an identification method by using a means called an RFID label or transponder to store and retrieve data remotely This study aims to implement a control system on HMI and also a detection system on defect products using a visual inspection system with the aim of getting the machine effectiveness value. One method to get this value is the Overall Equipment Effectiveness (OEE) method. It is proven by implementing a visual inspection system that gets an accuracy rate of 95.97% to detect rejected products and optimize the OEE presentation value obtained. In this study, the implementation of the production monitoring system was successfully implemented with an average OEE value of 52.49%.

Automation Storage System Based On SCADA Using PLC CP1H and CP1L Gun Gun Maulana; Ridwan Mada; Regim Ramaya Purba
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i3.26363

The warehousing system is a means of supporting production activities and industrial operations that function to store goods to be distributed, which are still using a manual system and must adapt to technological developments. The problem that often arises in the warehousing system that is still done manually is that the flow of goods into the warehouse is not well organized, and this makes it difficult when the goods are about to be removed, so it requires a longer search time. Previous research has shown actual data on storage racks that use Arduino Mega as a controller and VB as an interface, but there is no actual data on the state of the lifter or the selection of lifter movement speed modes to facilitate operators in monitoring and operating goods storage. Control systems with industry standards greatly affect the effectiveness and optimization of the production process. Based on these problems, this research aims to simplify the managerial and monitoring process in the warehouse with a prototype of automatic multilevel storage using PLC CP1H and CP1L as system control and Wonderware Intouch as an interface with the SCADA system. The prototype has 12 cells, and each cell can accommodate 2 boxes; each cell is distinguished by the height and color of the box. In testing this research, the SCADA system can work optimally. The interface is capable of displaying the actual data of the rack with a success rate of 100%, the hardware error rate is less than 1%, and the interface can display the actual data on the state of the lifter.

Defect Detection System on Stamping Machine Using the Image Processing Method Nur Wisma Nugraha; Suharayadi Pancono; Gun Gun Maulana
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v19i1.29111

Quality products are very influential in creating profits for the company and are also closely related to the level of customer satisfaction. The higher the quality of the products produced by a company, the higher the satisfaction felt by consumers. The biggest challenge in the production process is achieving good quality with a product defect rate close to zero defect. Defects in the product are usually small. This is of course very difficult for workers to inspect each product for a long time. Thus, manual inspection is certainly ineffective and inefficient because humans have a saturation point and get tired if they work for a long time. Previous research on detecting defective objects using image processing has been carried out but has not been able to detect up to the shape and size, while in this study it can detect up to the shape and size. Therefore, to implement an automatic product defect detection system we will use image processing and RFID technology. Image processing is processing on the image using a computer so that the image quality becomes better and produces value information for each color. Image processing techniques consist of image conversion from RGB to grayscale, thresholding (binarization), and morphological operations (segmentation). While RFID is an identification method by using a means called an RFID label or transponder to store and retrieve data remotely This study aims to implement a control system on HMI and also a detection system on defect products using a visual inspection system with the aim of getting the machine effectiveness value. One method to get this value is the Overall Equipment Effectiveness (OEE) method. It is proven by implementing a visual inspection system that gets an accuracy rate of 95.97% to detect rejected products and optimize the OEE presentation value obtained. In this study, the implementation of the production monitoring system was successfully implemented with an average OEE value of 52.49%.

Production Monitoring System Using Overall Equipment Effectiveness (OEE) Method to Improve Stamping Machine Performance Gun Gun Maulana
Jurnal POLIMESIN Vol 20, No 2 (2022): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v20i2.2560

One of the factors that support success in the manufacturing industry is the smoothness of the production process. There are six factors that affect engine performance, known as the Six Big Loss. Six significant losses are the cause of production equipment not operating normally, namely: start-up loss, set up or adjustment loss, cycle time losses, speed loss, breakdown loss and defect loss. Downtime that often occurs results in decreased productivity, and production results do not reach the target. Production machine downtime is often not known by some parties, especially superiors positions such as managers, section heads and maintenance division. The goal to be achieved in this research is to design and realize a performance monitoring system for a stamping machine based on the internet of things (IOT) to increase the effectiveness of the machine with the optimal amount of production. The method used to determine machine performance is Overall Equipment Effectiveness (OEE). OEE is one of the methods available in TPM or Total Productive Maintenance. The study results show that machine downtime notifications are informed quickly using an alarm system.

Smart manufacturing system based on industrial internet of things Nur Wisma Nugraha; Gun Gun Maulana; Suharyadi Pancono
Jurnal Polimesin Vol 21, No 6 (2023): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i6.3957

The primary challenge in the manufacturing industry today is the subpar productivity and efficiency in production processes. This predicament can be attributed to the widespread utilization of suboptimal production systems and the underutilization of advanced technology in manufacturing. Furthermore, the lack of accurate production data, limited employee involvement in production processes, and the high costs associated with production and machine maintenance have emerged as significant concerns in the contemporary manufacturing landscape. In response to these challenges, the adoption of Smart Manufacturing Systems (SMS) based on the Industrial Internet of Things (IIoT) has become crucial to address these issues andenhance overall production quality and efficiency. The SMS IIoT system empowers companies to gather real-time data from various industrial devices and machines. This data is subsequently analyzed to optimize production processes, resulting in increased efficiency and productivity. With this system in place, companies can closely monitor production processes in real-time and promptly detect and address defective or non-compliant products at the onset of production. The research results show an availability value of 88%, indicating that the machine operates 88% of the scheduled time. A Performance value of 100% indicates that the engine is operating at the desired maximum speed. OEE is calculated as the product of Availability, Performance, and Quality of Rate. With a value of 88%, OEE reflects the overall level of effectiveness of the machine in the production process. This paper highlights the significance of IIoT-based Smart Manufacturing Systems in addressing the prevailing challenges encountered by the manufacturing industry.

Desain dan Implementasi Sistem Pengendalian Otomatis untuk Mengatur Debit Air Pada Prototipe Bendung sebagai Pencegahan Banjir Gun Gun Maulana; Suharyadi Pancono; Anastasia Mia
Jurnal Teknik Informatika dan Sistem Informasi Vol 4 No 3 (2018): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Weir is a construction which is used to withstand the rate of water, and ensure water is distributed evenly. In Indonesia there are many weirs are controlled manually. It is less effective because of many human errors, for example in Garut (21/09/2016) and Bekasi (11/20/2014, 04/21/2016). In this study, the automatic weir control system was designed using VDI 2206 design method. Data of water level and flow sensor were processed by a fuzzy logic method to determine the opening of sluice and condition of the weir (safe/danger). Data is displayed on interface based on Microsoft Visual Studio. The test results on the prototype (32x20x18cm) indicate system can work automatically with 99.7% accuracy. The error is affected by ultrasonic sensor error: 5,61% and water flow sensor: 4,83%. Interface show sensor data from microcontroller can be displayed in real time. Benefits of this system are it is easy to control and monitor the weir, water flow is distributed evenly, and provides early warning information to anticipate flooding.

Automation Forklift System untuk Penyimpanan Produk pada Gudang Berbasis Labview Gun Gun Maulana; Hendy Rudiansyah; Salwa Nahlya Tazkia
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 1 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i1.2334

One of the functions of the warehouse is to store finished products. Stored products will be grouped based on the same type of material or goods, with boxes that have been marked in color or other codes in accordance with the specified classification. In the warehousing system, vertical storage helps in maximizing the use of warehouse areas. Storage of goods that are still manual with the aid of a forklift also has a high risk of damage due to work equipment accidents. The application of automation technology to the warehousing system is needed because it allows the storage and retrieval of products to run more easily and regularly than done manually. This study aims to create an automatic multilevel storage system as a solution to improve work safety and facilitate workers in storing finished products. This system is made in the form of an elevator with a rack containing 12 cells. The elevator is driven by a stepper motor to move in the direction of the X, Y, and Z axis and is controlled through an Arduino Mega 2560 microcontroller. Object identification is carried out by the TCS 3200 color sensor and the infrared obstacle sensor to read the height of the object. In this study, prototype storage and lifter systems have been achieved as movers for storing boxes on shelves. The results showed success in shipping boxes according to the intended address, but there were still average error values on the x-axis motion of 0.125%, and on the z-axis of 0.11%. Keywords— Arduino Mega 2560; Forklift; Labview; Sensor TCS 3200; Warehouse

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