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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.
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.
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.
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.
APLIKASI SENSOR NTC 47D-15 DAN SENSOR KELEMBABAN 808H5V5 PADA MESIN PENGERING DAUN SUNGKAI Pola Risma
Elektron : Jurnal Ilmiah Vol 5 No 1 (2013): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.693 KB) | DOI: 10.30630/eji.5.1.39

Abstract

Nowdays, the production of herbal medicines to industrial scale household progressively increased as the emergence of the phenomenon in the society for the re-use of natural medicines / herbal derived from plants as one solution to health. In order for the herbal medicines are not easily damaged and can be stored for a long time, the drying process is carried out at a temperature of 300C–90oC (Depkes RI, 1985). The herbal medicine used in this study is the Sungkai leaves which is dried using dryer that applies NTC temperature sensor 47D-15, 808H5V5 humidity sensors, and microcontroller ATMega 8535. NTC sensor 47D-15 serves to detect the temperature to be set at the desired range during the drying process occurs while the humidity sensor 808H5V5 detects moisture of Sungkai leaves after the drying process.
BLOB Analysis for Fruit Recognition and Detection Muhammad Dede Yusuf; RD Kusumanto; Yurni Oktarina; Tresna Dewi; Pola Risma
Computer Engineering and Applications Journal Vol 7 No 1 (2018)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.192 KB) | DOI: 10.18495/comengapp.v7i1.237

Abstract

Robot application in agriculture can ease the farming process, especially as the harvesting robot for seasonal fruit that is available in a short time. The addition of "eye" as the image sensor is an important feature for a harvesting robot. Thanks to the increment of technology, the camera is getting smaller with better performance, and lower prices. The cheap sensors and components make the creation of cheap and effective robot possible. Image processing is necessary for object detection, and open source software is available now for this purpose. This paper proposes BLOB analysis for object detection of 5 fruits with different shapes and colors. The simulation results show that the proposed method is effective for object detection regardless the shapes, colors, and noises.
The Application of Push Button Switch as Inverse Kinematics Input on Adaptive Walking Method for Hexapod Robot Pola Risma; Muhammad Bagaskara; Nyayu Husni Latifah; Masayu Anisah; Adella Rialita
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.481 KB) | DOI: 10.18495/comengapp.v9i1.313

Abstract

Any kinds of natural disaster are undesirable. Loss and damage are the most experienced as they come. Property and people have to be relieved, and it's not an easy matter. Among the deaths caused by buildings, some may still be alive and need helps as soon as possible, but this is too risky for the rescue team since the location is still in dangerous level. Therefore, we created the detector hexapod robot to replace the tasks of the rescue teams in searching for the victims of the disasters, so there are no more victims from the rescue team. The hexapod robot is a six-legged robot which shapes and runs like a spider. This research focuses on the analysis of the push button switch as a robotic foot control input. This is because walking technique is an effective major factor in navigation of robots. A good method is required to maintain the height of the robot's foot while it is walking. So to solve this, the push button switch application is used along with the inverse kinematics calculations on each routine program in adjusting the position of the end effector on the floor surface. In shifting, the navigation runs well without any failure if the position of the foot does not touch the floor. The test is done in 2 steps, comparing the inverse kinematics calculations with x and y inputs which are applied to the robot program code then comparing the travel time condition by using push button switch and without push button switch. The result of robot in this study can be re-developed in the future, using servos with greater torque and better control input than push button switch.
Finger Cue for Mobile Robot Motion Control Tresna Dewi; Amperawan Amperawan; Pola Risma; Yurni Oktarina; Dicky Astra Yudha
Computer Engineering and Applications Journal Vol 9 No 1 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.467 KB) | DOI: 10.18495/comengapp.v9i1.319

Abstract

The current technology enables automation using a robot to help or substitute humans in industry and domestic applications. This robot invasion to human life emerges a new requirement to set a method of communication between a human and a robot. One of the oldest languages is finger gesture, and this is easy to be applied method by implementing image detection that connected to the actuators of the robot to respond to human orders. This paper presents a method to navigate robots based on human fingers cue, including "Forward," "Backward," "Turn right," "Turn left," and "Stop" to generate the forward, backward, turn right, turn left, and stop motion. The finger detection is facilitated by a camera module (NFR2401L) with the image plane of 640 x 480 and 30 fps speed. The detection in coordinates x <43 and y <100, robot moves forward, in x <29 and y <100-coordinates , robot turns left, and in x <19 and y <100-coordinates , robot turns right. The experiment was conducted to show the effectiveness of the proposed method, and to some extent robot can follow human cues to navigate in its assigned location.
The Concept of Automatic Transport System Utilizing Weight Sensor Yurni Oktarina; Tresna Dewi; Pola Risma
Computer Engineering and Applications Journal Vol 9 No 2 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.424 KB) | DOI: 10.18495/comengapp.v9i2.339

Abstract

The current pandemic situation insists that people find a way to create a physical distance, limiting the number of people in a closed room. The human need for commuting has led to the idea of an automatic transport system that can transport people and goods without the assistance of a driver. This idea can lead to a new "normal" and reduced cost of manufacturing in the industry. The paper discussed the concept of an automatic transport system using a weight sensor. An automatic vehicle is designed to transport loads of different packages and be allocated automatically based on the weight of the package. The system is designed to be as simple as possible to increase the scope for implementation.