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Journal : Telecommunications, Computers, and Electricals Engineering Journal

MONITORING SYSTEM DESIGN OF TRACKING SYSTEM ON SOLAR PANEL FOLLOWING THE SUN ROTATION BASED ON INTERNET OF THINGS Wardhana, Irdza; Priyatman, Hendro; Judiarto, Hilda
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 1: June 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i1.69944

Abstract

In the field of energy, the sun is a large amount of energy and is still little utilized. Solar panels are a tool for utilizing solar energy into electrical energy. The average installation of solar panels is still static/fixed. Static solar panels cause the reception of sunlight energy to be less than optimal. To maximize the energy of sunlight, this solar panel is made dynamic or moved following the direction of sunlight. The monitoring process will be carried out based on the Internet of Things where the parameters to be measured are the value of voltage,current,power,solar panel temperature,and solar irradiation which will appear on the Blynk application via smartphone. Tests were conducted to determine the characteristics of the parameters measured between static solar panels and dynamic solar panels for 7 days. The maximum power value obtained by dynamic solar panels is better than the maximum power obtained by static solar panels, the largest average test value for 7 days from solar panels obtained a power value of 8.54 Watts and on static solar panels obtained a power value of 7.03 Watts. The position of the solar panel towards the sun, environmental conditions,weather conditions affect the value of the measured parameters.
DESIGN A MONITORING AND AUTOMATION SYSTEM FOR DRINKING WATER FILLING WITH VOICE COMMANDS USING GOOGLE ASSISTANT Manalu, Madoni Eprahim; Saleh, Muhammad; Priyatman, Hendro
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73628

Abstract

Drinking water filling stations currently still use faucets or buttons to stiffen drinking water filling, where the user is sometimes negligent which results in water overflow during the drinking water filling process and the availability of gallons of water at drinking water filling stations also often runs out. The purpose of this study is to monitor the availability of gallons of water at drinking water filling stations and fill drinking water with voice commands according to the desired water volume using Google Assistant. The command code given is "Turn on the Water Pump", "Turn Off the Water Pump", "Turn on 240 Milliliters", "Turn on 600 Milliliters" and "Turn on 1000 Milliliters" to Google Assistant. The result obtained from this study is the percentage of success of the command code which is 100%. Google Assistant is not able to detect voice commands with environmental conditions of noise interference above 88 dB. The average response speed the tool works at when given a command is 2253 milliseconds. The average error percentage of the HC-SR04 ultrasonic sensor with a manual gauge to determine availability in gallons is 1.8%. The success percentage of the E18-D80NK infrared sensor is 100%. The average error percentage   of the Water Flow Sensor Yf-S201 with a measuring teapot when filling 240 milliliters of drinking water is 8.51%, 600 milliliters is 4.05% and 1000 milliliters is 2.35%.