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Journal : Frontier Energy System and Power Engineering

Home Energy Security Prototype using Microcontroller Based on Fingerprint Sensor Nusantar, Alrizal Akbar Nusantar Akbar; Zaeni, Ilham Ari Elbaith; Lestari, Dyah
Frontier Energy System and Power Engineering Vol 1, No 2 (2019): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (259.022 KB) | DOI: 10.17977/um049v1i2p19-29

Abstract

The globalization era brings rapid development in technology.The human need for speed and easiness pushed them toinnovate, such as in the security field. Initially, the securitysystem was conducted manually and impractical compared tonowadays system. A security technology that is developed wasbiometric application, particularly fingerprint. Fingerprintbasedsecurity became a reliable enough system because of itsaccuracy level, safe, secure, and comfortable to be used ashousing security system identification. This research aimed todevelop a security system based on fingerprint biometric takenfrom previous researches by optimizing and upgrading theprevious weaknesses. This security system could be a solutionto a robbery that used Arduino UNO Atmega328P CH340 R3Board Micro USB port. The inputs were fingerprint sensor, 4x5keypad, and magnetic sensor, whereas the outputs were 12 Vsolenoid, 16x2 LCD, GSM SIM800L module, LED, andbuzzer. The advantage of this security system was its ability togive a danger sign in the form of noise when the systemdetected the wrong fingerprint or when it detects a forcedopening. The system would call the homeowner then. Otherthan that, this system notified the homeowner of all of theactivities through SMS so that it can be used as a long-distanceobservation. This system was completed with a push button toopen the door from the inside. The maximum fingerprints thatcould be stored were four users and one admin. The admin’sjob was to add/delete fingerprints, replace the home owner’sphone number, and change the system’s PIN. The resultsshowed that the fingerprint sensor read the prints in a relativelyfast time of 1.136 seconds. The average duration that wasneeded to send an SMS was 69 seconds while through call was3.2 seconds.
Monitoring and Controlling The Hybrid System Using The Internet Of Things For Energy Transaction Wibowo, Sulton Ari; Lestari, Dyah
Frontier Energy System and Power Engineering Vol 1, No 1 (2019): JANUARY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.043 KB) | DOI: 10.17977/um049v1i1p1-9

Abstract

The electrical energy is an energy that is needed by the people. Theelectrical energy, to date, came from several power plants, such aselectric steam power plants and diesel power plants. The communitymust pay the service provider, such as the State ElectricityCompany (PLN) with a rising cost, to obtain electrical energy.However, there were other alternative energies, for example, solarpower plants and windmill power plants. The hybrid system is acombination of two or more different energy sources to meet thedemand. The hybrid system was also expected to solve the problemthat might arise in utilizing other energies, the site condition, andthe unpredicted situation on the power plant. The solution to theseproblems was a hybrid using a monitoring device with ACS 712sensor current parameter, ZMPT101B voltage sensor, LDR solarsensor, hybrid electrical energy power, controller for four electricalsource inputs and three electrical sources for the output load. Thedevice used Arduino Mega 2560 for data processing, ESP 8266 asthe module to connect the device to the internet network and relayas the control actuator. Monitoring and controlling the device usedthe internet network and the implementation of the Internet ofThings (IoT) on the hybrid system plants (PLN, generator, solarpower plant, windmill power plant) that was integrated into thewebsite. The overall test resulted in the comparison average errorvalue between the device and the measuring instrument of thecurrent, voltage, and power. The test also resulted in the averageerror value of the response time for the four input contacts and threeoutput contacts. The average error value of the current was 2.13%,the average error value of the voltage was 0.7%, and the averageerror value from the power parameter was 0%. Meanwhile, theaverage error value of response time was 0.23 seconds. Based onthe above results, it can be concluded that the monitoring andcontrolling system from the website with the implementation of theIoT in the hybrid power system was worked following the design.