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Journal : Journal of Computer Science and Informatics Engineering (J-Cosine)

Rancang Bangun Digital Home Assistant Dengan Perintah Suara Menggunakan Raspberry Pi Dan Smart Phone Isni Fachri Rizal; I Wayan Agus Arimbawa; Royana Afwani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 2 No 2 (2018): Desember 2018
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1696.149 KB) | DOI: 10.29303/jcosine.v2i2.84

Abstract

Digital home assistant is one part of smart home technology. The smart home is one of technology research that focuses on home automation, so the interaction between human and home becomes easier and more practical. One of the interactions that can be done is using voice commands. Currently, digital home assistant technology can be implemented with a variety of concepts and various tools. One of the tools that can be used is the smartphone. A smartphone is a communication tool that has a variety of tools to meet the needs of users, one of which is a tool offered by the Android operating system that is Google speech API. With google speech API we can build applications that can understand human speech. In order for home electronics devices to communicate with smartphones, use a microcontroller that is attached to the home electronics. Some microcontrollers that can be used are Raspberry Pi and Arduino. In this study, built a digital home assistant with voice commands using Raspberry Pi and smartphone. The built-in digital home assistant is used for lamp, TV and AC control. The Google speech API is used on smartphones for the process of translation of voice commands provided by users of the system. The results obtained for the control of lights, TV and air conditioning with voice commands using smartphones and Raspberry Pi is a system can run with 90% success and the average time of command execution reaches is 5.32 seconds.
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.