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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
I Gede Putu Wirama Wedashwara W
Universitas Mataram
Computer Science & IT

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Implementasi IoT Cerdas Berbasis Inference Fuzzy Tsukamoto pada Pemantauan Kadar pH dan Ketinggian Air dalam Akuaponik Adlan Jiwa Kuswinta; I Gede Putu Wirama Wedashwara W; I Wayan Agus Arimbawa
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1504.276 KB) | DOI: 10.29303/jcosine.v3i1.245

Abstract

The population of Mataram City amounted to 362,243 people in December 2008. The increase in population and rapid development caused a reduction in sources of clean water, especially in urban areas. In fish and plant cultivation it requires good water quality so that fish and plants are not exposed to parasites and diseases that cause fish and plants to die. Akuaponik uses water continuously from the maintenance of fish which is then distributed to plants, and then returned to the fish pond. This aquaponics system will be implemented with IoT using microcontrollers, ultrasonic sensors and pH sensors that will provide information through the website. The information will be given in the form of stability in the pH level of the water and the water level in the fish pond. Checking the stability of the pH level of the water and the height of the water is intended to maintain the plant so that it can absorb nutrients optimally from the water. One method that can be used to control pH levels based on water height by adding or reducing water is to create a system that can inform good results using fuzzy logic methods. The implementation of this system will be focused on plants using 2 different types of plants and evaluation carried out is only pattern recognition rather than optimization. To recognize patterns of change and adjust the height and pH of water in aquaponics to remain stable is to implement the concept of IoT and Inference Fuzzy Tsukamoto. The aquaponics system that is made can run well and shows information based on the results of fuzzy calculations.
Sistem Monitoring Kondisi Kesehatan Sebelum dan Sesudah Olahraga Menggunakan Pulse Sensor dan Sensor DS18B20 dengan Metode Naive Bayes: Health Condition Monitoring System Before and After Sports Using Pulse Sensor and DS18B20 Sensor with Naive Bayes Method Islam Hidayah; I Gede Putu Wirama Wedashwara W; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 1 (2022): June 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i1.353

Abstract

Heart rate and body temperature are essential factors that must be considered before exercise is essential to optimize exercise and know the body's condition. The trainer conducts a health check, and management evaluates the exercise results conducted on the athlete. The Internet of Things is the solution provided to facilitate the monitoring of health conditions and measure exercise intensity. Before and after exercise, the health condition monitoring system is designed to determine the user's health condition by measuring heart rate and body temperature as parameters for decision-making by applying the Naïve Bayes method. The Naive Bayes method is rule-based with the python sci-kit-learn programming language and data communication with MQTT. From the study results, the Sports Health condition monitoring system has succeeded in providing monitoring results, condition prediction decisions, and the accuracy of the Naïve Bayes method by 75%.
Co-Authors Adlan Jiwa Kuswinta Ariyan Zubaidi I Wayan Agus Arimbawa Islam Hidayah