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Yurni Oktarina
Politeknik Negeri Sriwijaya
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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.
Simulation Design of Artificial Intelligence Controlled Goods Transport Robot Yurni Oktarina; Destri Zumar Sastiani; Tresna Dewi
Computer Engineering and Applications Journal Vol 11 No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.753 KB) | DOI: 10.18495/comengapp.v11i2.411

Abstract

Technological advances enable scientists and researchers to develop more automated systems for life's convenience. Transportation is among those conveniences needed in daily activities, including warehouses. The easy-to-build and straightforward transport robot are desired to ease human workers' working conditions. The application of artificial intelligence (AI), Fuzzy Logic Controller, and Neural Network ensures the robot is able to finish assigned tasks better and faster. This paper shows the concept design of an AI-controlled good transport robot applied in the warehouse. The design is made as fast and straightforward forward possible, and the feasibility of the proposed method is proven by simulation in Scilab FLT and Neuroph.
PENGENALAN SISTEM AGRIVOLTAIC SEBAGAI TEKNOLOGI PERTANIAN MODERN PADA PETANI SAYURAN DI GANDUS Yurni Oktarina; Tresna Dewi; Sri Rezki Artini; Siproni Umar
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 5 No 4 (2022): APTEKMAS Volume 5 Nomor 4 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v5i4.6144

Abstract

The goal of the 2022 Leading Applied Community Service (PKM) program in the Gandus-Palembang sub-district is to help farmers (partners) by providing and applying appropriate technology, specifically solar cell technology as renewable energy, so that farmers (partners) can recognize and use solar energy as an alternative energy in agriculture (agrivoltaic). In this activity, an automatic plant watering system based on solar energy was developed and distributed directly to farmers through socialization in the form of lectures and demonstrations or the practice of making and maintaining solar cell modules. Farmers greatly appreciate this activity and hope that it will be repeated in the future.
Aplikasi Sensor Ultrasonik Dalam Pembacaan Level Air Pada Sistem Pertanian Aquaponic Muhammad Nouval Daniesar; Tresna Dewi; Yurni Oktarina
TELISKA Vol 16 No I (2023): TELISKA Maret 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8031245

Abstract

Neural Network-Based Image Processing for Tomato Harvesting Robot Yurni Oktarina; Ronald Sukwadi; Marsellinus Bachtiar Wahju
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1723

Abstract

Agriculture is one of the areas that can benefit from robotics technology, as it faces issues such as a shortage of human labor and access to less arid terrain. Harvesting is an important step in agriculture since workers are required to work around the clock. The red ripe tomatoes should go to the nearest market, while the greenest should go to the farthest market. Harvesting robots can benefit from Neural Network-based image processing to ensure robust detection. The vision system should assist the mobility system in moving precisely and at the appropriate speed. The design and implementation of a harvesting robot are described in this study. The efficiency of the proposed strategy is tested by picking red-ripened tomatoes while leaving the yellowish ones out of the experimental test bed. The experiment results demonstrate that the effectiveness of the proposed method in harvesting the right tomatoes is 80%.
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