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Sistem Kendali Pengisian Jus Otomatis Menggunakan Sensor Infrared Dan Waterflow Berbasis PLC Siti Afiyah Qatrunnada; Yurni Oktarina; Tresna Dewi; Evelina Ginting; Pola Risma
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.26

Abstract

The need for automatic beverage vendors is quite high in public places and crowds, which will be more efficient and efficient than the beverage vendors who are human-friendly. This paper discusses the design of an automatic beverage vendor based on a programmable logic controller (PLC). The PLC used for this study is the production of Outseal, which has an Outseal Studio simulation program with a ladder diagram control. This automatic beverage vendor consists of input, process, and output. The primary input of this system is an infrared sensor, and a flow meter sensor to detect the cup's presence and how much juice poured to the cup. The DC motor and pump are the control output. A simulation program demonstrates the effectiveness of this automatic beverage supplier with the Outseal studio.
Implementasi Neural Network Untuk Kendali Gerak Mobile Robot Pembasmi Hama Dadi Setiadi; Pola Risma; Tresna Dewi; RD Kusumanto; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.36

Abstract

The agricultural sector is one of the most important economic sectors for Indonesia. However, agriculture itself is accompanied by a number of problems, one of which is pests that attack crops and cause crop failure. The use of robotics in agriculture can now overcome the limited capacity of farmers to monitor large land areas. Using an RC robot that can be controlled automatically via a cell phone monitor screen, human work is greatly facilitated. Artificial intelligence is implanted into a robot to improve the performance of an agricultural robot. This paper discusses designing a pest spraying robot with Neural Network applications for effective and efficient control inputs. The feasibility of the proposed method is proven by simulation conducted in Neuroph Studio and MobotSim. The simulation results show that neural network applications can effectively manage mobile robot movements with an error value of less than 0.1 to avoid the obstacles they encounter to reach the target.
Fuzzy Logic Controller sebagai Penentu Gerak Mobile Robot Pembasmi Hama Muhammad Ridho Kenawas; Pola Risma; Tresna Dewi; Selamet Muslimin; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.38

Abstract

A mobile robot is one of the solutions to overcome crop failure caused by chili pests. The mobile robot discussed in this paper is used to spray pesticide liquid into chili plant stems to prevent pests attack on the plants. This paper discusses the design of pesticide spraying robot motion with the application of Fuzzy Logic Controller. This robot employment is expected to reduce farmers' workload and to help to produce a good harvest. Robot motions are divided into two conditions, which can be controlled by remote control as a controller (manual) and by means of a sensor (automatic). Mobile robot movements have a significant impact on navigation and the design of the driving system. Robot speed is controller by adjusting Pulse Width Modulation of DC motors attached to the robots' wheel, which set to be 90 for slow and 220 for high speed. The Fuzzy Logic Controller in this mobile robot functions as an autonomous decision-making driver to detect obstacles in front of the mobile robot and the targeted stems.
Desain Fuzzy Logic Controller Untuk Pengendali Pergerakan Mobile Manipulator Putri Repina Kesuma; Tresna Dewi; RD Kusumanto; Pola Risma; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.43

Abstract

Technology is developing more and more to facilitate human life. Technology enables automation in all areas of life, and robots are among the most frequently used machines in automation. Robots can help with human work in all fields, including agriculture. A mobile robot manipulator is a combination of a robot arm and a mobile robot so that this type of robot can combine the capabilities of the two robots. This paper discusses the design of a robot manipulator to be used in agriculture to replace farmers in the harvesting of agricultural products, such as tomatoes. This paper presents a mechanical, electrical design and uses the Fuzzy Logic Controller as artificial intelligence. The feasibility of the proposed method is demonstrated by simulation in Mobotsim.
Pembangkit Energi Listrik Hybrid Mini Menggunakan Turbin Angin Sumbu Vertikal Savonius Sebagai Sumber Energi Alternatif Edo Triyandi; Pola Risma; RD Kusumanto; Tresna Dewi; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 2 No 2 (2021): Vol 2 No 02 (2021): December 2021
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v2i2.200

Abstract

Hybrid system is the concept of combining two or more different energy sources to meet the needs of the existing electrical load, so this is expected to overcome energy use if the supply of other electrical energy is problematic. One example is the merging of solar energy and wind energy. The advantages of this hybrid generator are that it is non-polluting, abundant, never runs out and can be used directly or indirectly and is energy for all time. In the wind energy generator section, the type of Savonius vertical axis wind turbine is used, where this turbine is very suitable for use in low-speed wind types such as the one in the city of Palembang using the MY-1016 generator with an output power of 350 Watt. The mini hybrid electric energy generation system uses a savonius vertical axis wind turbine as an alternative energy source consisting of several components, including: Savonius vertical axis wind turbine, MY-1016 Generator, Controller, Internet of Things (IOT), Anemometer sensor, INA219 current sensor, Energy storage system (battery, pump storage), and 1500-Watt Inverter.
Pembangkit Energi Listrik Hybrid Mini Menggunakan Tenaga Surya Sebagai Sumber Energi Alternatif Arbi Nugraha; Pola Risma; RD Kusumanto
Journal of Applied Smart Electrical Network and Systems Vol 2 No 2 (2021): Vol 2 No 02 (2021): December 2021
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v2i2.201

Abstract

Hybrid system is the concept of combining two or more different energy sources to meet the needs of existing electricity loads. The advantage of this solar energy is that it is non-polluting, inexhaustible and can be used directly or indirectly and is energy for all time. In this study, a tool designed for hybrid electric energy generation using solar energy and wind energy. The solar panel used is 50 Wp Polycrystalline type and The wind generator used is MY-1016 with an output power of 350 Watt. In this study, a system for monitoring the power generated electric energy generator using solar energy is needed which consists of components such as current sensors INA219, Arduino Mega 2560 and displayed in real time using the Internet of Things (IOT).
Desain Robot Pengintai Segala Medan dengan Kendali Wireless PS2 Mayastri Devana; Tresna Dewi; Nyayu Latifah Husni; Pola Risma; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 2 No 2 (2021): Vol 2 No 02 (2021): December 2021
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v2i2.210

Abstract

A mobile robots is one of the solution to overcome the deficiency of security surveillance camera systems that are static in nature, which are vulnerable to blind spots on the results of their observations. In this research, the surveillance robot is made to resemble the shape of a mars rover robot that is applied to be able to move more freely to stalk areas and be able to navigate on uneven surfaces. The movement of the surveillance robot wheel uses a wireless PS 2 remote control and is driven by a DC motor rotation as its main drive. The connection between the PS2 Remote Control and the surveillance robot is by using the Arduino Uno. In addition, this robot will be equipped with a camera that will send visual surveillance results from the robot to the smartphone.
Vision-Based Pipe Monitoring Robot for Crack Detection Using Canny Edge Detection Method as an Image Processing Technique Nur Mutiara Syahrian; Pola Risma; Tresna Dewi
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.
Navigating Arm Robot Motion with Vision via Image Processing Risma, Pola; Dewi, Tresna; Anggraini, Citra; Nawawi, Muhammad; Oktarina, Yurni
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 4 No. 1 (2024): IJRVOCAS - April
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v4i1.269

Abstract

The integration of vision-based technology in daily life has been perceived in recent years. The wide range of robot implementations, including agriculture, necessitates the installation of the eye to fully function and substitute the human eye. Camera and image processing work hand in hand in realizing the idea of automatic labor in daily life. This paper presents an arm robot navigated by image processing inputs from objects' coordinate positions. The robot is assigned to pick and place red tomatoes within different lighting and positions. The robot can sort the red tomatoes and ignore the green tomatoes. Inverse kinematics analysis is included to show the effectiveness of the proposed method. This robot is ideal for agricultural settings to sort the harvested fruit.
Revolutionizing IV Infusions: Empowering Care with the DripControl+ App for Real-Time Monitoring and Precision Management Markinashella, Deva; Risma, Pola; Husni, Nyayu Latifah
International Journal of Advanced Health Science and Technology Vol. 3 No. 4 (2023): August
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v3i4.280

Abstract

The demand for an effective and precise monitoring and control system for intravenous infusion therapy has increased due to concerns regarding medication errors and inefficiencies associated with current manual monitoring methods employed by nurses, particularly when caring for multiple patients across different rooms. This research aims to enhance intravenous infusion therapy by developing a real-time monitoring and control system. The system utilizes IoT technology and advanced sensors, including the load cell sensor for infusion volume detection, the FC-33 optocoupler sensor for precise infusion drop monitoring, and also a servo motor as an actuator to bend the infusion hose. Integrated with the NodeMCU ESP32 microcontroller, the system empowers healthcare professionals with the user-friendly DripControl+ app to remotely monitor and cont rol the infusion process. The results indicate a seamless collaboration among the system components. The FC-33 Optocoupler sensor exhibits an outstanding accuracy rate of 99.39%. The load cell sensor achieves an impressive 99.61% accuracy. The servo motor precisely follows predetermined positions. These outcomes effectively highlight the system's ability to accurately control the infusion drip rate with exceptional precision. The FC-33 optocoupler sensor and servo motor play crucial roles in achieving this accuracy. With an impressive average accuracy of 97.99%, the system has proven to be highly efficient. However, it should be noted that sudden changes in infusion speed could impact the accuracy of the readings. The future research could focus on refining the system's ability to respond to abrupt changes in infusion speed through advanced algorithms, such as machine learning.