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All Journal Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal E-Komtek Indonesian Journal of Engineering Research Technologic Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali)
Mada Jimmy Fonda Arifianto
Politeknik Astra
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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RANCANG BANGUN ROBOT LOGISTIK UNTUK PENGIRIMAN MINUMAN Mada Jimmy Fonda Arifianto
Technologic Vol 6, No 2 (2015): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v6i2.173

Abstract

Penelitian ini mencakup perancangan dan pembuatan robot yang secara khusus digunakan untuk mengirim gelas berisi minuman dan harus mampu melewati tangga tanpa menumpahkan minuman. Robot juga tidak boleh rentan terhadap kondisi lingkungan di ruang publik seperti kebisingan suara dan fluktuasi cahaya. Setelah melewati tahap perancangan, pembuatan dan ujicoba, hasil rancang bangun robot logistik ini terdiri dari tiga kerangka yaitu depan, tengah dan belakang. Kerangka depan dan belakang dapat bergerak translasi naik dan turun relatif terhadap kerangka tengah untuk mengatur sokongan robot saat naik dan turun tangga. Sambungan antar kerangka ini menggunakan rak dan pinion. Bagian rancangan elektronika robot terdiri dari mikrokontroler Arduino sebagai pengendali utama robot. Komponen lain adalah penggerak motor DC, motor DC dengan transmisi roda gigi planet untuk roda, motor DC dengan transmisi roda cacing untuk sambungan kerangka. Sensor-sensor diterapkan untuk mendeteksi dinding, lantai dan posisi kerangka pada saat di tengah, atas atau bawah. Sedangkan pemrograman robot menggunakan permodelan „mesin keadaan-hingga“ (finite-state machine). Model ini biasa diterapkan pada sistem yang berjalan secara terus menerus untuk menjamin perangkat tetap berjalan secara otomatis. Kata Kunci: rancang bangun robot, mesin keadaan (state machine), pemrograman mikrokontroler
PEMBUATAN PENGENDALI MANUAL NIRKABEL UNTUK AUTOMATED GUIDED VEHICLE (AGV) MENGGUNAKAN MODUL RADIO ZIG-BEE DI PT. ASTRA OTOPARTS DIVISI WINTEQ Mada Jimmy; Yulius Yudha Christianto
Technologic Vol 2, No 1 (2011): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v2i1.78

Abstract

AGV (Automated Guided Vehicle) digunakan untuk distribusi material atau suku cadang pada proses manufaktur. Pada prinsipnya AGV bekerja secara otomatis yang berjalan mengikuti jalur berupa garis berwarna kontras terhadap lantai. Namun demikian kendali manual masih diperlukan untuk pengaturan awal atau jika pengoperasian AGV diluar jalur. . Panel kendali yang dihubungkan dengan AGV yang masih mengunakan kabel ini mengakibatkan operator kesulitan dalam mengambil kendali manual dari AGV karena terhalang kereta yang ditarik oleh AGV. Karena itu maka dibuatlah kendali manual nirkabel ini supaya dapat mempermudah operator dalam mengendalikan AGV. Kendali manual ini menggunakan mikrokontroller ATMEL AT89S51 sebagai masukan untuk PLC dalam mengendalikan AGV dan modul ZigBee sebagai modul komunikasi nirkabelnya. Pada kendali manual ini juga terdapat indikator yang akan menunjukan keterangan bahwa baterai yang terdapat pada AGV sudah hampir habis sehingga operator tidak terlambat dalam mengisi ulang baterai AGV, idikator ini berupa tampilan pada LCD.
PERANCANGAN DAN PEMBUATAN PROTOTIP SCARA (SELECTIVE COMPLIANCE ASSEMBLY ROBOT ARM) MENGGUNAKAN KARTU PENGENDALI GERAKAN ADLINK PCI-8164 Mada Jimmy Fonda Arifianto; Agung Kaswadi; Heru Suprapto; Ali Fahmi; Sri Devi; Rizky Irawan
Technologic Vol 2, No 2 (2011): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v2i2.97

Abstract

Modul pembelajaran lengan robot diperlukan untuk membantu mempelajari bagaimana bekerjanya sebuah robot industri dan bagaimana membuat perancangan sistemnya untuk mendukung gerakan yang diinginkan. Ada banyak perangkat kendali robot yang ada di pasaran, salah satunya adalah kartu kendali gerakan dengan antarmuka (interface) PCI dengan sebuah komputer. Tulisan ini membahas penelitian tentang perancangan dan pembuatan lengan robot berjenis SCARA (Selective Compliance Assembly Robot Arm) yang dikendalikan oleh sebuah komputer dengan bantuan kartu kendali gerakan (motion control card) Adlink PCI-8164. Pemilihan piranti keras ini dilandasi oleh penelitian sebelumnya yang menggunakan kartu yang sama namun untuk perangkat mekanik yang berbeda. Setelah selesai perancangan dan pembuatan, selanjutnya sistem ini diharapkan dapat menjadi alat bantu proses belajar di bidang robot baik bidang mekanik, elektronik maupun pemrograman robot.
Sistem Pemantauan dan Kontrol Energi Listrik Menggunakan Platform Node-RED, Influxdb dan Grafana melalui Jaringan WiFi dan Lora Mada Jimmy Fonda Arifianto; Lin Prasetyani
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol 7, No 1 (2022): Jurnal Elektroda Vol 7 No 1
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jfe.v7i1.23440

Abstract

Electrical energy monitoring for home and industrial equipment plays important role to prepare the concept of green energy in the future. Usually, only one or a few energy meters are provided in each building for monitoring the energy use of the entire installation. Usually, only one or a few energy meters are provided in each building for monitoring the energy use of the entire installation. Topic of this research is developing an energy measuring instrument that is applied to every electrical equipment. Knowing the information of energy usage of each equipment in real-time is the first step in saving electricity.  This help for decisions making in term of efficient utilization, for example managing the schedule of production system and preventive maintenance. The energy monitoring and controlling system proposed in this paper includes hardware development using microcontroller ESP32, LoRa module and energy sensor PZEM-004T.  In addition, software development to support the system includes Node-RED as dashboard and back-end development, InfluxDB as database management and Grafana as data visualization. The prototype has been successfully made and has features according to the research objective, which is to display the electrical quantity of each tool individually and monitor it for a certain period.
Perancangan Pengendali Gerakan Stepper Motor menggunakan Mikrokontroler STM32 dengan Tampilan Grafis TouchGFX Mada Jimmy Arifianto; Heru Suprapto
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 1 (2023): Jurnal Fokus Elektroda Vol 8 No 1 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1337.703 KB) | DOI: 10.33772/jfe.v8i1.14

Abstract

Stepper Motor is an actuator, which is often used in electromechanical systems of automation equipment or machines that require precision movement. Physical quantities in motion control are position, velocity and acceleration. To facilitate the control and monitoring of these quantities, a graphical display interface with a touch screen is proposed. In this paper, a motion controller design that integrates the STM32H743 microcontroller, TMC5160 and a 7 inch LCD touch screen will be presented. The supporting software for this system is TouchGFX as a Graphical User Interface on a touch screen. In addition, FreeRTOS is used as a microcontroller operating system to support the concept of multi-tasking in motion control applications. Hopefully, this controller design can be run without the need additional controller devices or computers. The experiment results show that the motor can be driven simultaneously on a task, while the microcontroller can perform display control with 30fps, touch screen and data communication which are handled by the scheduler in real time. The application requires 16.26% RAM and 24.14% flash of total capacity.
Control System for Swerve Drive Wheeled Automated Guided Vehicle with Ultra-Wide Band Local Positioning System Arifianto, Mada Jimmy Fonda; Afianto; Suhendra
Indonesian Journal of Engineering Research Vol 4 No 1 (2023): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v4i1.45

Abstract

Control system for Automates Guided Vehicle (AGV) is used to control the motor movement so that the AGV can go to a position in certain speed and orientation. Discussion in this paper is about how to control 4-wheel swerve drive-based AGV. Mechanical structure of each wheel is built in such a way that the wheel can move forward / backward and the orientation can be adjusted while moving. Each wheel requires two BLDC motors to drive and to steer the AGV. In this project, the power each motor is 200W which is drove and controlled by Syntron LS20530G motor driver that connected to a computer via CAN-bus. An Ultra-Wide Band (UWB)-based Local Positioning System (LPS) is used to monitor the position of the AGV as well as a guide for non-physical paths so that AGV moves according to a given path virtually. The experimental results show that AGV can move in a straight line with a speed of 50m/min. Wheels can also be steered according to a certain angle so that the AGV can move towards the destination point. The steering angle of each wheel is between -135 degrees to 135 degrees.
Application of Deep Learning YOLO in IoT System for Personal Protective Equipment Detection Nugroho, Waluyo; Rifdah Zahabiyah; Afianto; Mada Jimmy Fonda Arifianto
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2187

Abstract

The use of Personal Protective Equipment (PPE) is a critical step in ensuring worker safety in various sectors, including industry, construction, and health. However, violations in using PPE often occur, which can increase the risk of work accidents. This study aims to develop a deep learning-based PPE detection system using the YOLOv8 algorithm. This method was chosen because of its superior ability to detect objects in real time with high accuracy. The training data consists of various images of workers in different work environments, label to recognize types of PPE such as helmets, masks, and safety vests. The developed system was tested on a test dataset to evaluate model performance based on metrics such as confusion matrix, inference speed, and detection error rate. The experimental results show that the YOLOv8 model can detect PPE with an accuracy level of up to 95%. The implementation of this system is expected to be an effective solution in increasing compliance with the use of PPE and preventing work accidents.
Co-Authors Afianto Agung Kaswadi Ali Fahmi Heru Suprapto Nugroho, Waluyo Rifdah Zahabiyah Rizky Irawan Sri Devi Suhendra Yulius Yudha Christianto