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This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) ELINVO (Electronics, Informatics, and Vocational Education) International Journal of Community Service Learning TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Indonesia Berdaya Insyst : Journal of Intelligent System and Computation Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Robotics, Automation, and Electronics Engineering
Aris Nasuha
Universitas Negeri Yogyakarta
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Journal of Robotics, Automation, and Electronics Engineering

 1 
Automatic Catfish Sorter and Counter Based on Weight Classification Alif Naufal Allaudin; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.64

Abstract

Catfish is one of the main raw materials in the fisheries sector which also supports the Indonesian economy. However, manual sorting of catfish makes the weight of catfish not uniform when marketed. Therefore, tools and machines are needed that automatically sort catfish in large quantities, making it more effective and easier for catfish breeders to use. In this study the process of making the system was realized in 3 stages, namely needs analysis, implementation, and testing of tools. The purpose of this system is to be able to classify the weight of catfish in the large category with fish weighing > 140 grams, medium with fish weighing 80-140 grams and small with fish weighing 20-80 grams. From the system test results, the average accuracy is 99.56. % and a precision of 98.75% for load cell sensor readings, while for E18 infrared sensor readings the results are always known, but data is not always sent and displayed on the LCD screen. Classification of fish categories carried out by the system has worked well, where the system is able to sort and count correctly 14 times out of 15 tests with an accuracy of 93%. The average computing time required for this tool is 3.67 seconds for 15 tests.
Smart Aquaculture in Internet of Things-based Catfish Farming Kurniawan Budi Kusnanto; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i1.65

Abstract

The primary objective of developing the project titled "Smart Aquaculture in Internet of Things-based Catfish Farming" is to create a specialized tool for catfish farming that facilitates automated monitoring and control of water quality, eliminating the need for manual intervention at the aquaculture pond. The collected data is made accessible through a web monitoring system. The tool aims to mitigate catfish mortality risks, enhance yield, and streamline the cultivation process. The development process of this tool encompasses several stages, which are as follows: (1) Requirements Analysis, involving the identification of necessary tools and materials for the project; (2) Implementation, encompassing the design and fabrication of the tool, outlining the circuit scheme, and detailing the step-by-step manufacturing process; (3) Testing, describing the procedures and results of evaluating the tool's performance. The monitoring system employs PH- 4502C sensors, DS18B20 temperature sensor, and HC-SR04 level sensor, all controlled by ESP32 DevKit. Comparative analysis against standard measuring instruments demonstrates an average error percentage of 1.64% for pH, 0.88% for temperature, and 0.70% for water level measurements. Additionally, the data transmission test reveals a delay of 19.16 seconds, while the actuator response test, based on sensor readings, successfully operates within the system's intended parameters.
Monitoring Smart Applications for Monitoring and Controlling of IoT-Based Strawberry Hydroponic Plants Willi Bianyosa Arif Wibiya; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i2.166

Abstract

Hydroponic farming has become an attractive option in strawberry cultivation as it provides better control over the growing environment of the plants. However, proper management and continuous monitoring are challenges often faced by farmers in hydroponic farming practices. Therefore, in this study, we designed an IoT-based application that aims to monitor and control strawberry hydroponic farming through smartphone devices. The method used in this research involves developing an application that connects with various sensors installed in the hydroponic farm environment. The data obtained from the sensors is transmitted in realtime through the IoT network. In addition to the monitoring function, the application is also equipped with a control system that can be customized according to the needs of farmers. The result of this research is an application that can work from a short distance (local) or a long distance (cloud). The application is equipped with a hazard alarm notification system. The feature allows farmers to take action to maintain the health and quality of strawberry plants. The use of this application is expected to help make it easier for farmers to monitor and control hydroponic farming to be more efficient and optimize crop yields.
Prototyping of an Automation System for Hydroponic Strawberry Nutrient Dosing Fiosa Putra; Aris Nasuha
Journal of Robotics, Automation, and Electronics Engineering Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v1i2.168

Abstract

Strawberries are a fruit that is a superior commodity in growing the economy in Indonesia. However, there was a decline in strawberry production from 2017 to 2021. This was due to constraints in the conventional cultivation process and environmental controls that were not yet optimal. This research focuses on designing an automated system for cultivating strawberries in containers using several sensors. The sensors used are the EC sensor to measure hydroponic nutrient levels, the pH sensor to measure water acidity, and the DHT22 sensor to measure temperature and humidity. Sensor data is sent to the server using IoT technology. Data is also visualized through an Android application that can be monitored from anywhere and at any time. The design of the automation system, named Amanda Mini, delivers the right amount of nutrients so that the health and nutrition of strawberry plants are sufficient. Water flow is carried out automatically using water supply pumps, sample pumps, stirrer pumps, and plant pumps. In this way, the Amanda Mini automation system facilitates hydroponic strawberry cultivation activities, which can increase strawberry production.
Prototype Design of Toxic Gas (CO) Monitoring Equipment in Motorcycle Workshop Al Hasan, Muhammad Hanif; Nasuha, Aris
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i2.611

Abstract

Workshop is one of the places that contributes a significant amount of carbon monoxide gas, originating from motor vehicle exhaust. A workshop is also a place at high risk of fire. Due to the lack of awareness among visi- tors and workshop workers about the dangers of carbon monoxide gas and the potential for fires in motorcycle workshops, a tool is needed to monitor carbon monoxide levels and detect fire in the workshop. The aim of this final project is to design and develop a device, software, and demonstrate the per- formance of a system for monitoring carbon monoxide levels and detecting fire in a motorcycle workshop. This research uses the Research and Develop- ment (R&D) method. The results of the monitoring system created showed good outcomes. The sensor used was able to read carbon monoxide levels with an error rate of 5.56%, while the Flame sensor was able to detect fire at a maximum distance of up to 70 cm. The monitoring system functioned well, with carbon monoxide levels visualized using ThingSpeak. The DC fan also worked effectively, when carbon monoxide levels in the room reached 25 ppm or higher, the DC fan would turn on and help with air circulation.
Co-Authors Ahmad Taufiq Musaddid Al Hasan, Muhammad Hanif Alam, Rahib Lentera Alif Naufal Allaudin Anggun Winursito Ardy Seto Priambodo Cipto Sabdo Prabowo Darmawan, Robby Dessy Irmawati Fatchul Arifin Fiosa Putra Gunawan, Teddy Surya Hendrawan Armanto Kurniawan Budi Kusnanto Lukman Zaman Mauridhi Hery Purnomo Moh Alif Hidayat Sofyan Muslikhin Oktaf Agni Dhewa Purno Tri Aji Septian Rahman Hakim Suprapto Suprapto Teddy Surya Gunawan Tri Arief Sardjono Willi Bianyosa Arif Wibiya Winursito, Anggun