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Yurni Oktarina
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Journal : Journal of Applied Smart Electrical Network and System (JASENS)

 1 
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.
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.
Implementasi Neural Network dalam Mengendalikan Input dan Output pada Penyiraman dan Pemupukan Tanaman Otomatis Berbasis IoT Aulia Ratna Juwita; Tresna Dewi; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 3 No 02 (2022): Vol 3 No 02 (2022): Vol 3 No 2 : December 2022
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v3i02.519

Abstract

Agriculture is an important sector in human life. However, in practice, agriculture still faces many challenges such as difficulties in optimally controlling watering and fertilizing crops. To overcome this problem, an automatic plant watering and fertilizing system was developed as an alternative solution. This system can help farmers control watering and fertilizing plants automatically and optimally based on soil and plant conditions measured by sensors. In practice, automation systems for watering and fertilizing plants usually still use simple rules based on the experience or theory of farmers. Therefore, the implementation of a neural network in an automated system of watering and fertilizing plants can help predict irrigation needs for plants accurately and control watering and fertilizing automatically. To prove the effectiveness of the proposed method, testing was carried out using the Neuroph Studio application. From the test results, the total error results for the tool in controlling the output are less than 0.01 of the desired output value. These results are good and indicate that the neural network is an effective method of choice as a learning parameter. In addition, by using IoT technology, the automation system can be connected to the internet, so that it can be accessed remotely and monitored in real-time. This makes it easier for users to control the automation system and monitor the state of the plants.
Implementasi Fuzzy Logic dalam Mengendalikan Input dan Output pada Penyiraman dan Pemupukan Tanaman Otomatis Berbasis IoT Rinaldi Rinaldi; Tresna Dewi; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 3 No 02 (2022): Vol 3 No 02 (2022): Vol 3 No 2 : December 2022
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v3i02.520

Abstract

Salah satu tantangan dalam pertanian adalah masalah penyiraman dan pemupukan tanaman. Sebagian besar proses penyiraman dan pemupukan tanaman dilakukan secara konvensional. Penelitian ini menyajikan model sistem penyiraman dan pemupukan tanaman otomatis berbasis Internet of Things (IoT) menggunakan metode fuzzy mamdani untuk mempermudah melakukan penyiraman dan pemupukan tanaman. Paper ini membahas desain alat penyiraman dan pemupukan tanaman yang akan diaplikasikan pada bidang pertanian untuk menggantikan petani dalam menyiram dan memupuk tanaman, contohnya buah cabai. Paper ini menyajikan desain mekanis, elektris, dan mengaplikasikan Fuzzy Logic Controller sebagai kecerdasan buatan berbasis IoT.
Co-Authors Amperawan Amperawan Anggraini, Citra Aulia Ratna Juwita Citra Anggraini Dadi Setiadi Destri Zumar Sastiani Dewi, Tresna Dicky Astra Yudha Edo Triyandi Evelina Ginting Fradina Septiarini Husni, Nyayu Latifah Lin Prasetyani M. Nawawi Mayastri Devana Muhammad Dede Yusuf Muhammad Nawawi Muhammad Nouval Daniesar Muhammad Ridho Kenawas Muhammad Taufik Roseno Mulya, Zarqa Muslikhin Muslikhin Muslikhin Muslikhin Nawawi, M. Neta Larasati Pola Risma Prasetyani, Lin Pratama, Yudha Wira Putri Repina Kesuma RD Kusumanto Rinaldi Rinaldi Ronald Sukwadi SELAMET MUSLIMIN Siproni Umar Siti Afiyah Qatrunnada Sri Rezki Artini Tresna Dewi Tresna Dewi Tresna Dewi Tulak, Windy Gafrila Wahju, Marsellinus Bachtiar Windy Gafrila Tulak Yudha Wira Pratama Yudi Wijanarko Zarqa Mulya