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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal Teliska Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Applied Smart Electrical Network and System (JASENS) International Journal of Research in Vocational Studies (IJRVOCAS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat

Tresna Dewi

Politeknik Negeri Sriwijaya

Author-ID : 252957

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Published : 38 Documents Claim Missing Document

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Articles

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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

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.

Analysis and Design of Obstacle Avoidance on Robot Detection of Pipe Cracked Yudha Wira Pratama; Tresna Dewi; Yurni Oktarina
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Pipe robot is a robot capable of moving inside the pipe. The function of the pipe robot is to monitor pipe defects. The pipe robot is designed to move steadily in the center position inside the pipe. HCSR-04 distance sensor required input to give distance value to the microcontroller so that robot keep running stable and balance, for movement of the robot using DC motor. This robot is made with the aim to move autonomously following the pipeline in detecting pipe cracks. Programming on this robot using Artificial Neural Network algorithm with the Backpropogation method of network structure, consist of 3 input layer, 3 output layer, and 20 hidden layers. Conducted experiments on inputs, hidden layers, and outputs with varying amounts to obtain robust network structure of efficient and precise movement of robots in detecting pipe cracks. The result of movement of the robot in the application of Artificial Neural Network algorithm with Backpropagation method is able to move well and more stable. In this case, it uses 2 ultrasonic sensors and 2 motor outputs. The average robot speed movement is 10 cm/sec.

Object Following Design for a Mobile Robot using Neural Network Neta Larasati; Tresna Dewi; Yurni Oktarina
Computer Engineering and Applications Journal Vol 6 No 1 (2017)
Publisher : Universitas Sriwijaya

Deciding the best method for robot navigation is the most important tasks in mobile robot design, defined as the robot's ability to reach the target or/and move around its environment safely using the installed sensors and/or predefined map. To achieve this objective, wall or object detection can be considered. It is common to derive kinematics and dynamics to design the controls system of the robot, however by giving intelligence system to the robot, the control system will provide better performance for robot navigation. One of the most applied artificial intelligence is neural networks, a good approach for sensors of mobile robot system that is difficult to be modeled with an accurate mathematical equations. Mostly discussed basic navigation of a mobile robot is wall following. Wall following robot has been used for many application not only in industrial as a transport robot but also in domestic or hospital. Two behaviors are designed in this paper, wall following and object following. Object following behavior is developed from wall following by utilizing data from 4 installed distance sensors. The leader robot as the target for the follower robot, therefore the follower robot will keep on trying reaching for the leader in a safe distance. The novelty of this research is in the sense of the simplicity of proposed method. The feasibility of our proposed design is proven by simulation where all the results shows the effectiveness of the proposed method.

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

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.

Neural Network Controller Application on a Visual based Object Tracking and Following Robot Pola Risma; Tresna Dewi; Yurni Oktarina; Yudi Wijanarko
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Navigation is the main issue for autonomous mobile robot due to its mobility in an unstructured environment. The autonomous object tracking and following robot has been applied in many places such as transport robot in industry and hospital, and as an entertainment robot. This kind of image processing based navigation requires more resources for computational time, however microcontroller currently applied to a robot has limited memory. Therefore, effective image processing from a vision sensor and obstacle avoidances from distance sensors need to be processed efficiently. The application of neural network can be an alternative to get a faster trajectory generation. This paper proposes a simple image processing and combines image processing result with distance information to the obstacles from distance sensors. The combination is conducted by the neural network to get the effective control input for robot motion in navigating through its assigned environment. The robot is deployed in three different environmental setting to show the effectiveness of the proposed method. The experimental results show that the robot can navigate itself effectively within reasonable time periods.

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

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

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.

Fuzzy Logic Controller Application for Automatic Charging System Design of a Solar Powered Mobile Manipulator Fradina Septiarini; Tresna Dewi; Rusdianasari Rusdianasari
Computer Engineering and Applications Journal Vol 10 No 3 (2021)
Publisher : Universitas Sriwijaya

Agriculture is a vital industry that affects the livelihoods of many people. Given the reduction in agricultural employees and the increasing strain on farmers, this sector requires convenience, which the automation system may provide. One of the automations is mobile manipulator implementation to substitute farmers. This study investigates the automatic battery charging system supported by the Fuzzy Logic Controller (FLC) to power a mobile manipulator. The application of solar charging is an ideal power source for the robot applied in the open field with high irradiance all year long. This charging system is equipped with IoT monitoring online to monitor the available power produced by solar panel and the battery capacity condition. The effectiveness of the proposed method is proven by experiments conducted for ten times charging in ten days, where the highest power produced by the panel is 1.080 W with 0.563 W charged to the battery. The highest irradiance comes with the highest surface panel temperature of 58.9OC at the irradiance rate of 1021 W/m2. The experimental results show the possibility of the solar-powered robot, which is ideal for agriculture implementation.

Kendali Pergerakan Robot Ball Follower dengan Metode Pengolahan Citra Sederhana Pola Risma; Tresna Dewi; Yurni Oktarina; Muhammad Nawawi
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

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Robotika merupakan alat elektromekanik yang telah merambah di semua aspek kehidupan manusia, dari industri hingga sarana hiburan dalam kehidupan sehari-hari. Penggunaan sensor citra semakin memungkinkan aplikasi robotika yang lebih luas lagi, contohnya sebagai alat hiburan atau game. Pengolahan citra membutuhkan sumber daya komputasi yang cukup besar, sehingga penyederhanaan proses pengolahan citra akan mempercepat proses pengolahan citra tersebut. Paper ini membahas pengolahan citra sederhana untuk mendeteksi dan mengikuti bola berwarna merah. Tiga jenis ekperimen dilakukan untuk menguji efektivitas metode yang diajukan pada paper ini, dan hasil ekperimen menunjukkan bahwa robot dapat mendeteksi dan mengikuti bola merah di semua jenis trek ekperimen.

Perbandingan Desain dan Pemodelan Tangan Robot Lima Jari sebagai Sistem Underactuated Tresna Dewi; Pola Risma; Yurni Oktarina; Muhammad Taufik Roseno
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

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Arm robot manipulator adalah jenis robot yang paling banyak digunakan, dan bagian terpenting dari arm robot manipulator ini adalah end-effector. Walaupun pada banyak aplikasi di industri, end-effector dibuat sesederhana mungkin, pada beberapa aplikasi seperti prosthetic arm diperlukan end-effector yang menyerupai tangan manusia. Paper ini membahas perbandingan desain dan pemodelan tangan robot 5 jari, mulai dari penurunan model kinematis sampai pemilihan sistem kendali yang paling tepat untuk mengatasi batasan underactuated system. Dari studi literatur ini, dapat dilihat model kinematis sangat penting untuk mendapatkan persamaan yang paling mendekati sistem mekanis yang ada dan untuk kemudian akan mendapatkan desain sistem kendali yang paling tepat. Untuk mengatasi batasan underactuated system, maka digunakan penggerak pasif seperti spring, oleh karena itu pengaplikasian Impedance Control adalah paling tepat dengan menggunakan tambahan spring damper virtual.

Co-Authors A Rahman Amperawan Amperawan Angga Prasetia Anggraini, Citra Arissetyadhi, Iwan Aulia Ratna Juwita Bambang Tutuko Dadi Setiadi Dicky Astra Yudha Edo Triyandi Evelina Ginting Fradina Septiarini Hendra Marta Yudha Husni, Nyayu Latifah Junaedi, Ketut Kemala Dewi Lin Prasetyani M. Muhajir Mayastri Devana Muhammad Dede Yusuf Muhammad Nawawi Muhammad Nouval Daniesar Muhammad Ridho Kenawas Muhammad Roriz Muhammad Taufik Roseno Mulya, Zarqa Muslikhin Muslikhin Neta Larasati Nur Mutiara Syahrian Oktarina, Yurni Oktarina, Yurni Pola Risma Prasetyani, Lin Putri Repina Kesuma RD Kusumanto RD Kusumanto Rinaldi Rinaldi Ronald Sukwadi Roseno, M. Taufik Rusdianasari Rusdianasari Rusdianasari SELAMET MUSLIMIN Siproni Siproni Siproni Umar Siti Afiyah Qatrunnada Siti Nurmaini Sri Rezki Artini Syahrian, Nur Mutiara Velia Yuliza Wahju, Marsellinus Bachtiar Wijanarko, Yudi Yudha Wira Pratama Yudi Wijanarko Yurika Islamiati Yurni Oktarina Yurni Oktarina Yurni Oktarina Yusi, Muhammad Syahirman Zarqa Mulya

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