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Vision-Based Pipe Monitoring Robot for Crack Detection Using Canny Edge Detection Method as an Image Processing Technique Syahrian, Nur Mutiara; Risma, Pola; Dewi, Tresna
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.521 KB) | DOI: 10.22219/kinetik.v2i4.243

Abstract

Piping setup is very important to ensure the safety and eligibility of the piping system before applied in industry. One of the techniques to facilitate perfect piping setup is by employing pipe monitoring robot. Pipe monitoring robot is designed in this research to monitor cracks or any other defects occur inside a pipe. This automatic monitoring is conducted by the application of image processing with canny edge detection. Canny edge detection method detects the edges or lines of any cracks inside the pipe and processes them to create differences in image, therefore only the cracks can be shown and finally, those cracks can be well analyzed. Canny edge detection has 5 processing techniques that are smoothing, finding gradients, non-maximum suppression, double thresholding, and edge tracking by hysteresis. In this research, the experiment was conducted by letting a robot monitoring new pipe and detecting cracks. Two cracks samples were taken and analyzed. The results show that the best value for smoothing is 10 and 5 for thresholding in getting not too blurred or to sharp result.
Fuzzy Logic Controller Design for Leader-Follower Robot Navigation Dewi, Tresna; Wijanarko, Yudi; Risma, Pola; Oktarina, Yurni
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1010.479 KB) | DOI: 10.11591/eecsi.v5.1610

Abstract

Mobile robots are applied everywhere in the human's life, starting from industries to domestics. This phenomenon makes it one of the most studied subjects in electronics engineering. Navigation is always an issue for this kind of robot, to ensure it can finish its task safely. Giving it a “brain” is one of the ways to create an autonomous navigating robot. The Fuzzy logic controller is a good choice for the “brain” since it does not need accurate mathematical modeling of the system. Only by utilizing the inputs from sensors are enough to design an effective controller. This paper presents an FLC design for leader-follower robot. This FLC design is the improvement of FLC application in a single two differential-driven mobile robot. The relation between leader and follower robot is modeled linearly as a spring-damper system. Simulation proves the feasibility of the proposed method in several environment setting, and this paper also shows that the method can be easily extended to one leader and more than one follower's formation. The research in this paper has introduced in the classroom as the teaching-learning media to improve students' involvement and interest in robotics and robotics related class. This paper is also part of our campaign and encouragement for teachers and students to use low-cost and open source software since not all the universities in developing country can afford the expensive high-end software.
Arm Robot Manipulator Design and Control for Trajectory Tracking; a Review Yudha, Hendra Marta; Dewi, Tresna; Risma, Pola; Oktarina, Yurni
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (295.988 KB) | DOI: 10.11591/eecsi.v5.1620

Abstract

Arm robot manipulator heavily applied in industries ranging from welding, pick-and-place, assembly, packaging, labeling, etc. Trajectory planning and tracking is the fundamental design of an arm robot manipulator. The trajectory is set and determined to satisfy a certain criterion effectively and optimally. Optimization of robot trajectory is necessary to ensure the good quality product and to save energy, and this optimization can be provided by the right modeling and design. This paper presents a review study of arm-robot manipulator design and control for trajectory tracking by investigating the modeling of an arm robot manipulator starting from kinematics, dynamics and the application of the more advanced methods. The idea of this paper comes from the popularity of inverse kinematics among students.
The Kinematics and Dynamics Motion Analysis of a Spherical Robot Dewi, Tresna; Risma, Pola; Oktarina, Yurni; Prasetyani, Lin; Mulya, Zarqa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1937

Abstract

Mobile robot application has reach more aspect of life in industry and domestic. One of the mobile robot types is a spherical robot whose components are shielded inside a rigid cell. The spherical robot is an interesting type of robot that combined the concept of a mobile robot and inverted pendulum for inner mechanism. This combination adds to more complex controllerdesignthantheothertypeofmobilerobots.Asidefrom these challenges, the application of a spherical robot is extensive, from being a simple toy, to become an industrial surveillance robot. This paper discusses the mathematical analysis of the kinematics and dynamics motion analysis of a spherical robot. The analysis combines mobile robot and pendulum modeling as the robot motion generated by a pendulum mechanism. This paper is expected to give a complete discussion of the kinematics and dynamics motion analysis of a spherical robot.
The impact of Nodes Distance on Wireless Energy Transfer System Risma, Pola; Dewi, Tresna; Oktarina, Yurni
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 2, May 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.412 KB) | DOI: 10.22219/kinetik.v5i2.1051

Abstract

Wireless energy transfer (WET) reemerges as the method for transmitting electric power without the necessity to deal with cable losses and an aesthetically pleasing environment. The problem with WET is how to maintain magnetic induction as the distance gets further. This paper investigates the impact of nodes distance on the WET system. The experimental results show that the most effective distance among transmitter, nodes, and receiver are 4 cm. The measurement is taken with and without load. The without load application give that for node 1; the results are 6 V, 110 mA, and 2.85 mT for voltage, current, and magnetic flux, respectively. At the application of 2 nodes, the voltage is 6.8 V, the current is 0.124 mA, and the magnetic flux is 3.83 mT, and at three nodes installation, it is 7 V, 134 mA, and 3.83 mT. During the application of 3-Watt and 5-Watt lamp, at 4 cm distance, the power received is 1.66 W and 3.66 W at 3-Watt and 5-Watt lamp for one node, 1.84 W, and 3.84 for two nodes, and 1.93 W and 3.93 for three nodes. The experimental results show that the transmitted signal can be prolonged by installing nodes. Even though this study shows that 4 cm is the most effective, it is possible to increase up to 20 cm to power a 3-Watt lamp and 5-Watt lamp.
Neural Network Controller Design for a Mobile Robot Navigation; a Case Study Dewi, Tresna; Risma, Pola; Oktarina, Yurni; Roseno, M. Taufik
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.323 KB) | DOI: 10.11591/eecsi.v4.1055

Abstract

Mobile robot are widely applied in various aspect of human  life. The main issue of this type of robot is how to navigate safely to reach the goal or finish the assigned task  when applied autonomously in dynamic and uncertain environment. The  ap- plication of artificial intelligence, namely neural   network,  can provide a ”brain” for the robot to navigate safely in completing the assigned task. By applying neural network, the complexity of mobile robot control can be  reduced by choosing the right model of the system, either   from mathematical modeling or directly taken from the input of sensory data  information. In this study, we compare the presented methods of previous  researches that applies neural network to mobile robot navigation. The comparison  is started  by considering  the right  mathematical model for the robot, getting the Jacobian  matrix  for online training, and giving the achieved input model to  the designed neural network layers in order to get the estimated position of the robot. From this literature study, it  is concluded that the consideration of both kinematics and dynamics modeling  of the robot will result in better performance since the exact parameters of the system are known.
Inverse kinematic analysis of 4 DOF pick and place arm robot manipulator using fuzzy logic controller Tresna Dewi; Siti Nurmaini; Pola Risma; Yurni Oktarina; Muhammad Roriz
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.067 KB) | DOI: 10.11591/ijece.v10i2.pp1376-1386

Abstract

The arm robot manipulator is suitable for substituting humans working in tomato plantation to ensure tomatoes are handled efficiently. The best design for this robot is four links with robust flexibility in x, y, and z-coordinates axis. Inverse kinematics and fuzzy logic controller (FLC) application are for precise and smooth motion. Inverse kinematics designs the most efficient position and motion of the arm robot by adjusting mechanical parameters. The FLC utilizes data input from the sensors to set the right position and motion of the end-effector. The predicted parameters are compared with experimental results to show the effectiveness of the proposed design and method. The position errors (in x, y, and z-axis) are 0.1%, 0.1%, and 0.04%. The rotation errors of each robot links (θ1, θ2, and θ3) are 0%, 0.7% and 0.3%. The FLC provides the suitable angle of the servo motor (θ4) responsible in gripper motion, and the experimental results correspond to FLC’s rules-based as the input to the gripper motion system. This setup is essential to avoid excessive force or miss-placed position that can damage tomatoes. The arm robot manipulator discussed in this study is a pick and place robot to move the harvested tomatoes to a packing system.
Fruit sorting robot based on color and size for an agricultural product packaging system Tresna Dewi; Pola Risma; Yurni Oktarina
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.328 KB) | DOI: 10.11591/eei.v9i4.2353

Abstract

Indonesia's location in the equator gives an ideal condition for agriculture. However, agriculture suffers the issue of old farming due to a lack of youth interest working in this sector. This problem can be overcome by applying digital farming methods, in which one of them is by employing robots. Robotics technology is suitable for handling the harvested product, such as a sorting robot. This paper presents the application of a 4DOF fruit sorting robot based on color and size in a packaging system. The sorting is made possible by image processing where color is recognized by HSV analysis, and the diameter is known in the grayscale image and setting the thresholding. The fruit to be sorted is red and green tomatoes and red and green grapes. The experiments were conducted to show the effectiveness of the proposed method. The time requires for the robot to accomplish the task is 11.91s for red tomatoes, 11.76s for green tomatoes, 12.56s for red grapes, and 12.92s for green grapes. The time difference is due to the position of the boxes for the sorted fruit. The experimental results show that the arm robot manipulator is applicable for a sorting robot using the proposed method.
Smart Switch to Videotron Bersis IoT (Internet of Things) Ammar Dion Ray; RD. Kusumanto; Pola Risma
TEKNIKA Vol. 16 No. 1 (2022): Teknika Januari - Juni 2022
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

Videotron adalah media yang dapat menampilkan video atau teks dengan menggunakan teknologi Light Emiting Diode (LED). Sistem videotron sendiri masih banyak dihidupkan dan dimatikan secara manual. Dimana videotron yang terdapat di Politeknik Negeri Sriwijaya juga masih dihidupkan dan dimatikan secara manual. Sistem Perancangan ini bertujuan untuk mengembangkan videotron yang ada di Politeknik Negeri Sriwijaya agar bisa dihidupkan dan dimatikan secara otomatis (R,S,T) berbasis Internet Of Things (IoT). Sistem smart switch ini menggunakan Nodemcu Esp8266 Sebagai Mikrokontroler, Kemudian Modul Relay sebagai output untuk ON maupun OFF pada sistem. dan Lcd berfungsi untuk menampilkan kondisi berhasil atau tidaknya. Hasil dari penelitian ini dapat menghidupkan / mematikan Sistem videotron dari jarak jauh, Pengguna tidak perlu lagi repot untuk menghidupkan dan mematikan Videotron secara Manual.
SENSOR PEMILIH WARNA Pola Risma
TELISKA Vol. 4 No. 3 (2012): Edisi 12: Volume 4, Nomor 3, September 2012
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.139 KB)

Abstract

Dalam bidang industri, proses produksi memiliki beberapa jenis parameter kualitas yang harus dipenuhi, diantaranya berupa ukuran, berat jenis, level ketinggian, level volume, jarak, warna,dll. Parameter tersebut dikerjakan oleh sensor yang berfungsi untuk mendeteksi besaran fisik yang berbeda-beda dari setiap barang produksi, sedangkan konstruksi mekanik yang banyak digunakan dalam dunia industri berupa, arm robot (lengan robot) yaitu manipulasi lengan manusia berupa robot yang berfungsi untuk menggantikan sentuhan fisik manusia terhadap barang produksi. Jurnal ini membahas Sensor TCS 3200 Sebagai Pemilih Barang Otomatis. Adapun perumusan masalah pada jurnal ini adalah mengenai fungsi sensor TCS 3200 sebagai sensor warna RGB sebagai pemilih warna barang otomatis. Untuk deteksi tanpa warna, frekuensi yang dibaca sensor TCS 3200 adalah 0 Khz. Pada warna hitam, frekuensi yang dibaca sensor TCS 3200 adalah sebesar 0,66 Khz, untuk warna ungu, frekuensi yang dibaca oleh sensor TCS 3200 adalah sebesar 1,53 Khz yang akan menghasilkan nilai input PWM untuk motor servo sebesar 1,8 ms sehingga motor servo akan bergerak kearah 135°, sedangkan warna hijau memiliki nilai frekuensi 1,81 Khz. Pada pembacaan warna orange, frekuensi yang didapat adalah 4,76 Khz, pada frekuensi ini PWM yang diberikan adalah sebesar 2,25 ms yang akan menggerakkan motor servo kearah 45°. Untuk obyek warna kuning, frekuensi yang dibaca adalah sebesar 5,55 Khz, dengan pengaturan PWM pada frekeunsi tersebut sebesar 1,15 ms yang akan menggerakkan motor servo ke sudut 0°.Kata Kunci : Sensor TCS RGB 3200, PWM, arm robot.