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Journal : Green Intelligent Systems and Applications

Development of Hot Air Dryer Conveyor for Automotive Tampo Printing Parts Ali Rospawan; Joni Welman Simatupang; Irwan Purnama
Green Intelligent Systems and Applications Vol. 2 Iss. 1 (2022)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.233 KB) | DOI: 10.53623/gisa.v2i1.69

Abstract

This paper presents the development of a hot air dryer conveyor for the automotive industry in the tampo printing part process. The research started by designing and creating the actual device that is ready to use and be implemented in the industry. The method provides the detail of the drying chamber, hot air dryer, and its mathematical model. The chosen hot air dryer is Suiden SHD-9F II and is operated on the factory default setting of auto-tuning mode. The performance evaluation studies the indicator performance of hot air dryer for the chosen size of drying chamber, the robustness of the system against fluctuating environmental air change rate, the ducting capacity, and the damper opening value estimation performance. The result of this system is working well at specification requirement of air change rate from 15 to 21 at 80% of its maximum capacity for error compensation and its already being successfully implemented.
Real-Time Web-based Dashboard using Firebase for Automated Object Detection Applied on Conveyor Afira, Fadhillah; Simatupang, Joni Welman
Green Intelligent Systems and Applications Volume 3 - Issue 1 - 2023
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v3i1.251

Abstract

Conveyors are used by many factories in the industrial sector as tools to move some materials through various processes. Currently, it is necessary to have a device which is connected to a conveyor using a digital system. In this study, a conveyor is designed to use a webcam with a deep learning image classification system, Firebase real-time database, and a web-based dashboard. The webcam is used to capture and classify objects based on shape, color, and status, as well as counting objects that run on the conveyor. Firebase real-time database will receive and store data from the webcam system in real-time so that the data can be displayed on the dashboard. The dashboard used is a website-based design using two web development systems: front-end and back-end. Data displayed on the dashboard uses a real-time data table which is capable of displaying real-time data. Testing is conducted to analyze the performance of the full prototype. Testing methods used are One-by-one Object Test and Sequential Object Test, with total of 20 tests. One-by-one Object test is conducted five times, with a total of 168 data and a total time of 12 minutes and 15 seconds. Meanwhile, Sequential Object test is conducted 15 times, with a total of 546 data and a total time of 7 minutes and 19 seconds. Based on the observations of functional dashboard test, in fact all features and buttons on the dashboard are functioned well.
Internet of Things and Web-App-Based Data Accessibility and Management System for Chromameter Sensor Database Samsuri, Faisal; Simatupang, Joni Welman
Green Intelligent Systems and Applications Volume 4 - Issue 1 - 2024
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v4i1.342

Abstract

Information technology, an integral part of most industrial activities, is essential for supporting the rapid and substantial processes of the industrial sector. A key component of this technology is the Internet of Things (IoT), which is extensively integrated into these systems. At PT Sugity Creatives, an analysis revealed impractical methods in the production process, such as manual data recording and input, as well as the use of stickers on the rear side of product bumpers. These stickers can be detached from the main body (car) for verification purposes. To improve these processes, a data accessibility and management system were incorporated into a Raspberry Pi-based chromameter sensor prototype. This integrated system is designed to collect and store data in a database and uniquely identify data using QR Codes. The system takes an average of 7.97 seconds to store data and generate a QR Code per entry. This includes a module processing time of 7.25 seconds per data point and a rapid transmission rate of 0.72 seconds, covering data recording and QR Code transmission from the chromameter prototype, with data sizes ranging between 700 to 750 bytes.
Co-Authors Abdul Aziz Prihandoko Abdul Wahid Adam Mardamsyah Adamzah Suyuti Bakar Adistia, Nurul Amandha Aditya Rachmat Saputro Afira, Fadhillah Afristanto, Sasfitra Decky AGUS RIYANTO Aida Mahdalena Lubis Amar Ma’aruf Gusnadi Amiliansyah, Husna ANAM, FAJAR CHOIRUL Andri Setia Prabowo Angelina, Clara Lavita Antonius Suhartomo Asep Mamat Rahmat Solihat Aulia Rahman Azis Wibowo Aziz, Moch Baihaqi, Muhammad Yeza Bayu Prasetyo, Bayu Bintang Ramadhan Prasetya Bonifasius Raditya Cakranegara, Pandu Adi Carolus Kaswandi Clementine Mavridis David Tyler Dewandaru, Bambang Dodi Garinto Enndi Chiu Evi Rismauli Faisal Samsuri Faisal Syamsuri Fajar Choirul Anam Fajar Heru Santoso Fauzi Hadinegara Fernando Fernando Filson Maratur Sidjabat Galih Suryo Gumilang Halawa, Edmun Harki Apri Yanto Harun Maya Baheli Hendra Jaya Tarigan Hendrana Tjahjadi Ibadurahman Hanif Indra Sucipta Intan Agnita Rizki Irwan Purnama Irwan Purnama Joana Victorine Harryanto Johan Krisnanto Runtuk Juno Fariko Kaburuan, Emil Robert Kristi Mahardi Kristiantho Sulistiohadi Kuncoro Kuncoro Kuncoro, Kuncoro Ludfi Ahmad Prastyo Lydia Anggraini Marojahan Tampubolon Mau, Sealtial Melvin Harsono Michael Yosua Mochammad Aziz Muhammad Ekka Januar Akbar Muhammad Rayhan Syahida Ramadhan Munajat, Muhammad Ningrum Suryaningsih Nurul Amandha Adistia Pukhrambam, Puspa Devi Pukhrambam, Puspa Devi Purnama, Irwan Qurais Shihab, Rizky Aryan R. Hilary A Yoga R. Hilary Yoga Ardanta Rafael Ryan Putra Rafi Amartya Santosa Resmana Lim Ria Bramasto Ria Bramasto Ridha Muhlita Putra Rijal Hakiki Rizky Aditya Nurdiansyah Rizky Ariyan Qurais Shihab Rizky Aryan Qurais Shihab Roni Permana Saputra Rospawan, Ali RR. Ella Evrita Hestiandari Safitri, Cutifa Saifullana, Saifullana Samsuri, Faisal Sasfitra Decky Afristanto Setiyadi, Surawan Sielvya Rahma Maulida Simangunsong , Evanco Hollis Pardamean Siringoringo, Yosua Siti Hamidah Sri Anwar Ikhwanuddin Sucipta, Indra Suha Aritonang Theodora Valerie Tole Sutikno Vincent Vincent Vincent Vincent Vincent Vincent, Vincent Wibowo, Azis Wilbert Wijaya Yogi Saputra Yosua Marcellino Yosua Siringoringo Zahrotul Zanah Zano Junior