Garage Control and Monitoring System using Fuzzy Logic Method Based on User Distance and Speed

The increase in private vehicles number will also increase the number of crimes such as vehicle theft. So the owner must have a garage to increase security. However, generally security systems still use standard security. So, a system was developed to improve security and make it easier to be more effective using the ESP32 microcontroller to process the user's distance and speed values ??to control the rolling door using fuzzy logic, monitor whether or not vehicles are in the garage through a smartphone application, manage the queuing system on the smartphone application and find out the quality of the network used. Data retrieval is done by testing the hardware performance, namely the MG996R Servo Motor, ultrasonic sensor HC-SR04, Magnetic Switch MC-38, Infrared Sensor, Buzzer Module, and 1W HPL LED and the performance of smartphone application software made using Android Studio. From the test results, the speed of the servo motor with forward rotation is obtained from fuzzy logic processing to get the maximum and minimum values. A monitoring system to determine the presence or absence of a car in the garage by utilizing the color change of the view on the smartphone application. In automatic mode the smartphone application uses a queue system, where only one user can use the application, so other users cannot access the smartphone application and receive notifications. Based on the ITU-T standard, network quality testing (QOS) using wireshark software with parameters delay, packet loss and throughput gets a very good category value.

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ROBOT LINE FOLLOWER PENGANTAR SURAT MENGGUNAKAN METODE FUZZY LOGIC STUDI KASUS FAKULTAS TEKNIK UNIVERSITAS PANCASILA

Jurnal Teknologi Terpadu ◽

10.54914/jtt.v3i1.76 ◽

2017 ◽

Vol 3 (1) ◽

Author(s):

Andini Putri ◽

Febri Maspiyanti

Keyword(s):

Fuzzy Logic ◽

Obstacle Detection ◽

Administrative Staff ◽

Servo Motor ◽

Motor Speed ◽

Delivery Delay ◽

Straight Line ◽

Fuzzy Logic Method ◽

Logic Method

Mail delivery at the Faculty of Engineering Pancasila University (FTUP) has many complaints regarding the delay of mail delivery from the administrative officer to the recipient of the mail. Lack of administrative staff responsible for the delay of mail acceptance can certainly cause great disadventages to the recipient; hence this can be a big factor inhibiting the dissemination of information. As technology develops, many research on robot able to accommodate human’s work. One type of robot that has been developed is the Robot Line Follower. In order to reduce the mail delivery delay, in this research we built a Line Follower Robot using Fuzzy Logic method. Fuzzy logic applied to this robot as a determinant of Servo motor speed and distance determinant of mail delivery area. This research yields 100% accuracy for straight line, 79% accuracy for U-line, 53% accuracy for 90o turn, 94,75% accuracy for obstacle detection, 87,75% accuracy for alarm, and 92,75% accuracy for RFID card detection, and 82% accuracy for RFID Card with option menu. Keywords: Accuracy, Fuzzy logic, Line Follower, RFID, Robot

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Induction Motor Monitoring System Base on Fuzzy Logic Controller

Journal of Electrical Electronics and Informatics ◽

10.24843/jeei.2020.v04.i01.p03 ◽

2020 ◽

Vol 4 (1) ◽

pp. 15

Author(s):

Prof. Rukmi Sari Hartati ◽

Ida Bagus Gede Manuaba ◽

I Made Mataram

Keyword(s):

Fuzzy Logic ◽

Induction Motor ◽

Monitoring System ◽

Fuzzy Logic Controller ◽

Supply Voltage ◽

Squirrel Cage ◽

Fuzzy Logic Method ◽

Motor Condition ◽

Condition Monitoring System ◽

Cage Induction Motor

Squirrel cage induction motor is an AC electric motor that is most widely used in industry. This type of motor is chosen because it does not have a commutation brush, and its construction is strong, so it can withstand large, easy flow surges for repair and maintenance. The problem that often occurs is the imbalance of supply voltage which causes motor efficiency to decrease. An imbalance of voltage will result in a current not equal. As a result of phase currents that are much larger than other phases result in an increase in temperature and speed on the motor. This research was conducted to monitor the induction motor so that it can determine the condition of the motor when receiving a voltage imbalance. The method used in the induction motor condition monitoring system is the fuzzy logic method. Parameters that can be monitored are categorized into three conditions: normal (good) motor condition, damage (serious) and serious damage.

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Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

Jurnal ULTIMA Computing ◽

10.31937/sk.v7i1.448 ◽

2016 ◽

Vol 7 (1) ◽

pp. 12-18

Author(s):

Joko Haryanto ◽

Seng Hansun

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

System Application ◽

Prospective Students ◽

Fuzzy Logic Method ◽

Index Terms ◽

Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

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