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Pengiriman Data Realtime PLC ke ERP Odoo dengan Dilengkapi Analisa OEE Fiqrotin Nur Asita; Muhammad Khoirul Hasin; Zindhu Maulana Ahmad Putra; Ryan Yudha Adhitya; Imam Sutrisno
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

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

Abstract

With the integration of IT (Information Technology) and OT (Operational Technology), the data generated by the OT system can be easily processed and analyzed using the IT system, thereby synergistically increasing the efficiency and productivity of the company. In addition, to maximize machine performance, the Overall Equipment Effectiveness (OEE) method can be applied to monitor production results. Therefore, the authors designed an integration system based on a software connector to connect the Programmable Logic Controller (PLC) with Enterprise Resources Planning (ERP) Odoo. This system facilitates three communication protocols, namely Modbus TCP/IP, Ethernet/IP, and Profinet. As proof of the success of the connector software, a bottle-sorting plant controlled by PLC was made. The data from the plant is acquired by the connector software and sent in real-time to ERP Odoo. In ERP Odoo, an analysis is carried out through manufacturing modules that are custom-made by applying the OEE method as a step in monitoring the production process. Through research conducted, this integration system has been successfully designed and implemented in a bottle-sorting plant. The results of a comparison between manual OEE calculations and OEE calculations in ERP Odoo found an error of 0.161%. Thus, the IT and OT integration system created has been successful and has made the production process more efficient and has provided significant benefits to the company
Pengiriman Data Realtime PLC ke ERP Odoo dengan Dilengkapi Analisa OEE Fiqrotin Nur Asita; Muhammad Khoirul Hasin; Zindhu Maulana Ahmad Putra; Ryan Yudha Adhitya; Imam Sutrisno
CSRID (Computer Science Research and Its Development Journal) Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.15.3.2023.213-225

Abstract

With the integration of IT (Information Technology) and OT (Operational Technology), the data generated by the OT system can be easily processed and analyzed using the IT system, thereby synergistically increasing the efficiency and productivity of the company. In addition, to maximize machine performance, the Overall Equipment Effectiveness (OEE) method can be applied to monitor production results. Therefore, the authors designed an integration system based on a software connector to connect the Programmable Logic Controller (PLC) with Enterprise Resources Planning (ERP) Odoo. This system facilitates three communication protocols, namely Modbus TCP/IP, Ethernet/IP, and Profinet. As proof of the success of the connector software, a bottle-sorting plant controlled by PLC was made. The data from the plant is acquired by the connector software and sent in real-time to ERP Odoo. In ERP Odoo, an analysis is carried out through manufacturing modules that are custom-made by applying the OEE method as a step in monitoring the production process. Through research conducted, this integration system has been successfully designed and implemented in a bottle-sorting plant. The results of a comparison between manual OEE calculations and OEE calculations in ERP Odoo found an error of 0.161%. Thus, the IT and OT integration system created has been successful and has made the production process more efficient and has provided significant benefits to the company
Orientation Holding Control for Autonomous Surface Vehicles using Adaptive Neuro-Fuzzy Inference System Method Dimas Prostovani Riananda; Nurahmad Hadi Cahyadi; Zindhu Maulana Ahmad Putra; Joko Endrasmono; Ryan Yudha Adhitya; Agus Khumaidi
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.2

Abstract

The completion of autonomous surface vehicle water missions is required to have adaptive capabilities in maintaining the position, attitude or tilt, and stability of the ship against the influence of external disturbances that can interfere with the ASV's navigation system. Therefore, this research focuses on the orientation holding control system against external disturbances. To determine the value of the angular shift or tilt of the ship's facing direction using the CMPS14 sensor. The control method used to determine the ship's propulsion response in determining the speed based on the heading error value and the amount of rotation speed through the bow thruster in maintaining the ship's heading using the ANFIS (Adaptive Neuro-Fuzzy Inference System) Method. The ANFIS model that has been made for predicting the value has an RMSE value of 1.6169% which is then implemented on a microcontroller with conversion and has an accuracy value of 99,6%. In testing the performance of the ship orientation control system by giving 10 variations of disturbance shows an average response time of 5.08 seconds. So that the application of the ANFIS method in this control system has good performance and can be used as a reference for further research.
Localization Tracking for Autonomous Surface Vehicles Using You Only Look Once version 5 in ROS Gazebo Simulator Zindhu Maulana Ahmad Putra; Anugerah Ekha Gusti Audryadmaja; Joko Endrasmono
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.5

Abstract

Autonomous Surface Vehicles (ASVs) have emerged as a significant research focus due to their extensive applications. A major challenge in ASV development is the rapid and accurate detection and identification of objects on the water's surface, such as buoys. This study investigates the use of YOLOv5 for buoy detection on ASVs, focusing on path localization within the Robot Operating System (ROS) framework. Path localization is employed to determine the vessel's route and its movement through the test path based on buoy detection. The results indicate that YOLOv5 achieved a 100% accuracy rate in detecting boundary buoys within the Gazebo simulator, a component of the ROS ecosystem. Furthermore, the ASV was able to navigate precisely along the center of the test path without colliding with the boundary buoys. This study is expected to make a significant contribution to the advancement of ASV technology.
Analisis Nilai Kekerasan, Nilai Ketangguhan dan Struktur Mikro pada Multiple Repair dan Post Weld Heat Treatment (PWHT) Pengelasan HARDOX 500 Andiana, Rocky; Mukhlis; Wiratama, Daffa Ramadhan Arya; Zindhu Maulana Ahmad Putra
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/xzgr4c53

Abstract

Perbaikan berulang (multiple repair) pada baja HARDOX 500 menggunakan las berisiko menurunkan sifat mekanisnya. Penelitian menganalisis dampak dari jumlah repair dan durasi Post-Weld Heat Treatment (PWHT) terhadap sifat mekanis dan mikrostruktur. Metode penelitian adalah eksperimental dengan pengelasan Shielded Metal Arc Welding (SMAW) pada baja HARDOX 500. Variabel meliputi jumlah repair (tanpa repair, 1x, dan 2x) serta durasi holding time PWHT (30 dan 60 menit). Analisis dilakukan melalui uji kekerasan Vickers, uji impak Charpy, dan pengamatan struktur mikro. Hasil penelitian menunjukkan penambahan jumlah repair dapat meningkatkan nilai kekerasan namun menurunkan nilai ketangguhan material. Fenomena ini diatribusikan pada peningkatan masukan panas kumulatif dan formasi fasa bainit. Sebaliknya, proses PWHT dengan durasi holding time yang lebih lama (60 menit) terbukti efektif menurunkan nilai kekerasan, yang konsisten dengan terjadinya pertumbuhan butir dan pembentukan fasa ferit asikular yang lebih lunak. PWHT disimpulkan dapat memulihkan sebagian ketangguhan yang hilang akibat proses repair.
Identifikasi Warna Bola dan SILO Menggunakan Metode You Only Look Once Pada Robot Pengambil Bola Akmal, Revanza Akmal Pradipta; Ryan Yudha Adhitya; Zindhu Maulana Ahmad Putra; Ii'Munadhif; Mohammad Abu Jami’in; Muhammad Khoirul Hasin
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 1 (2024): Jurnal Elkolind Vol. 11 No.1 (Mei 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i1.5151

Abstract

Robots are a modern technology that is experiencing very rapid growth. Robots also have several types, one type of robot is Robot Vision. Robot Vision uses image processing and computer vision in carrying out its tasks, including recognizing objects and controlling robot movements. Taking the concept from the ABU (Asia Pacific Broadcasting Union) robot contest in 2024 where the robot is required to be able to pick up balls with red and blue colors which are then inserted into a place called SILO. The detection method used in this study uses the YOLO (You Only Look Once) method with the YOLOv5 version. The reason for choosing the YOLOv5 version is because of its ability to be more accurate than previous versions and lighter to run than newer versions. From the results of this study, it was found that the confidence value for each object was quite high, which was 0.90. In addition, the precision value against recall for all classes gets a value of 0.991 or 99.1%. For the ball and SILO classes, the precision to recall value is 0.993 or 99.3%. So it can be concluded that this method has good value in terms of detection and accuracy
Pengendalian Kecepatan Tendangan Robot Sepak Bola Beroda Menggunakan Metode Decision Tree As'ari, Nur Hasyim As'ari; Agus Khumaidi; Rini Indarti; Afif Zuhri Arfianto; Ryan Yudha Adhitya; Hendro Agus Widodo; Zindhu Maulana Ahmad Putra; Dimas Pristovani Riananda
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5192

Abstract

Dalam kontes robot sepak bola beroda, kedua tim saling berhadapan untuk mencetak gol sebanyak mungkin ke gawang lawan dalam waktu yang telah ditetapkan. Upaya pengendalian bola menjadi fokus utama, di mana robot berusaha mengejar dan menghadang lawan untuk menguasai bola. Robot berusaha menendang bola ke gawang lawan, namun keberhasilan tendangan dipengaruhi oleh faktor seperti kecepatan tendangan, sudut tendangan, dan upaya penghadangan oleh robot lawan. Penelitian akan membandingkan kecepatan antara mekanisme sistem penendang menggunakan motor PG45 dan mekanisme menggunakan solenoid. Motor PG45 menghasilkan tendangan melalui gerakan putar, sedangkan solenoid menggunakan gaya elektromagnetik untuk melepaskan tendangan. Penelitian ini bertujuan untuk memahami efisiensi dan keunggulan masing-masing mekanisme dalam konteks kecepatan tendangan. Dari Penelitian ini kecepatan tendangan menggunakan motor PG-45 memiliki kecepatan maksimal 3,21 m/s sedangkan selenoid bisa menghasilkan kecepatan hingga 11,69 m/s. Kata kunci: Kecepatan, Motor PG-45, Selenoid
Rekonstruksi 3D Berbasis LiDAR TF Mini Plus Zindhu Maulana Ahmad Putra; DANIA KIKI SANDIYA; Ryan Yudha Adhitya; Mat Syai’in; Rachmad Tri Soelistijono; Boedi Herijono; Ii Munadhif; Samudra Rozzak Arrachman; Achmad Nawawi
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5208

Abstract

Rekonstruksi 3D adalah teknik membentuk objek tiga dimensi dari bentuk aslinya di dunia nyata untuk divisualisasikan di komputer. Awalnya, proses ini dilakukan secara manual dengan pengukuran langsung, namun rentan terhadap kesalahan karena ketidakakuratan pengukuran. Dalam penelitian ini, sistem rekonstruksi 3D menggunakan teknologi digital dengan sensor LiDAR TF-Mini Plus. Sensor LiDAR menggunakan pulsa laser untuk mengukur jarak ke objek dan menghasilkan data point-clouds yang merepresentasikan permukaan objek. Sensor ini digerakkan oleh dua motor, yaitu motor servo untuk rotasi pitch dan motor stepper untuk rotasi yaw, memungkinkan cakupan penuh objek dan rekonstruksi yang lebih rinci. Pengujian menunjukkan bahwa sistem ini mampu menghasilkan rekonstruksi 3D yang sangat akurat dengan detail tinggi. Data point-clouds yang dikumpulkan oleh sensor LiDAR merepresentasikan bentuk asli tangki dengan presisi, termasuk lekukan dan kontur secara jelas. Hal ini membuktikan efektivitas sistem dalam menciptakan model 3D yang berguna untuk berbagai analisis dan visualisasi.
Pemodelan kinematika four wheel swerve drive menggunakan pendekatan geometri dan trigonometri Rohmansyah, Ade Fitra; Noorman Rinanto; Ryan Yudha Adhitya; Ii Munadhif; Isa Rachman; Muhammad Khoirul Hasin; Agus Khumaidi; Zindhu Maulana Ahmad Putra
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5293

Abstract

Robotics has undergone a significant transformation and has become one of the most amazing fields of technology in the 21st century, such as wheeled robots. One mechanism that can make wheeled robots move quickly is a swerve drive. Swerve drive is an omnidirectional drivetrain in which all wheels are steered and driven independently. In order to get maximum results when using the swerve drive mechanism, kinematic modeling is needed so that all wheels can be integrated and create fast robot movements that can maneuver well. Kinematic modeling on robots functions to simplify the input given to the robot and maximize the output from each motor. The method that can be used to obtain kinematic modeling of the four-wheel swerve drive mechanism is by taking a geometric and trigonometric approach. The geometric and trigonometric approaches are very suitable to be applied to modeling the kinematics of robots, which have basic spatial and triangular relationships based on the description of vectors between their forces. The results of the tests that have been carried out show that kinematics can make the robot move effectively by simplifying the input given, but still with maximum output. The kinematics for the four-wheel swerve drive have a good system response with a geometric and trigonometric approach.
Implementasi ROS dan Optimasi Identifikasi Warna Buoy Dengan YOLOv5 Pada Miniatur Autonomous Surface Vehicle Gusti Audryadmaja, Anugerah Ekha; Joko Endrasmono; Zindhu Maulana Ahmad Putra; Lilik Subiyanto; Muhammad Khoirul Hasin; Mohammad Basuki Rahmad; Isa Rachman; Agus Khumaidi; Yuning Widiarti; Ryan Yudha Adhitya; Dimas Pristovani Riananda
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 1 (2024): Jurnal Elkolind Vol. 11 No.1 (Mei 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i1.5343

Abstract

Autonomous Surface Vehicles (ASV) telah menjadi fokus penelitian yang populer karena aplikasinya yang luas. Tantangan utama dalam pengembangan ASV adalah mendeteksi dan mengidentifikasi objek di permukaan udara, seperti pelampung , dengan cepat dan akurat. Penelitian ini mengintegrasikan Robot Operating System (ROS ) dengan algoritma YOLOv5 untuk mendeteksi pelampung berwarna, dengan tujuan mengidentifikasi varian YOLOv5 yang menawarkan kinerja komputasi ringan dan akurasi yang tinggi untuk aplikasi real-time pada ASV. Berbagai varian YOLOv5 (YOLOv5s, YOLOv5m, dan YOLOv5L) dievaluasi berdasarkan kinerja deteksi dan penggunaan sumber daya komputasi. Hasil menunjukkan semua model YOLOv5 berfungsi dengan baik dalam ekosistem ROS. YOLOv5m memiliki performa deteksi terbaik dengan akurasi 90%, diikuti oleh YOLOv5s (89,8%) dan YOLOv5L (88,9%). Dalam pengujian real-time , YOLOv5L memiliki akurasi terbaik sebesar 87,78%, diikuti oleh YOLOv5m (85%) dan YOLOv5s (80%). Dari segi respon, YOLOv5s menjadi yang tercepat dengan waktu respon 36,4ms, diikuti oleh YOLOv5m (77ms) dan YOLOv5L (139ms). Berdasarkan hasil tersebut, YOLOv5m dianggap paling ideal untuk digunakan pada miniatur ASV karena memiliki akurasi yang baik (85%) dan waktu respon yang cepat (77ms), berkontribusi pada pengembangan teknologi ASV yang lebih efisien dan andal.