Monitoring Fuel Oil Based Radio Frequency Identification (RFID) Client

Motorcycles are a means of transportation which plays an important role in people's lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driver’s identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.

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RADIO FREQUENCY IDENTIFICATION AND IMAGE-BASED FACIAL IDENTIFICATION AS AN EMPLOYEE ATTENDANCE SYSTEM

International Journal of Engineering Technology and Natural Sciences ◽

10.46923/ijets.v2i1.67 ◽

2020 ◽

Vol 2 (1) ◽

pp. 18-26

Author(s):

Raden Andy Kurniawan ◽

Umar Zaky

Keyword(s):

Radio Frequency ◽

Programming Languages ◽

Radio Frequency Identification ◽

Personal Data ◽

Data Retrieval ◽

Application Development ◽

Existing Problems ◽

Frequency Identification ◽

Employee Attendance ◽

Facial Identification

The current development of microcontroller technology can be used to build a presence system for employees. The employee attendance system uses radio frequency identification and facial identification which is designed and built to make it easier to do attendance data recording, so that the data obtained can be precise and accurate. Data collection techniques, namely by interview and observation. The application development process uses the PHP and Python programming languages with Visual Studio Code software applications, Arduino Uno, MySQL software as a database server, and XAMPP as a support. The input used in this system is the employee's personal data and the results of employee face data retrieval which are stored in the .jpg format. The faces taken were taken from 4 people where each face was taken 20 face samples. The results are in the form of web and applications that will provide solutions to existing problems. The conclusion of this application makes it easy to do the recording and attendance, and minimize the fraud committed by employees. Retrieval of face data was taken as much as 20 data with the highest level of accuracy was 87% when the presence test was carried out.

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Rule Based Reasoning Untuk Monitoring Distribusi Bahan Bakar Minyak Secara Online dan Realtime menggunakan Radio Frequency Identification

JURNAL SISTEM INFORMASI BISNIS ◽

10.21456/vol7iss1pp39-47 ◽

2017 ◽

Vol 7 (1) ◽

pp. 39

Author(s):

Mokhamad Iklil Mustofa

Keyword(s):

Radio Frequency ◽

Monitoring System ◽

Radio Frequency Identification ◽

Fuel Oil ◽

Computer Application ◽

Rule Base ◽

Rule Based ◽

Safety Stock ◽

Frequency Identification ◽

Radio Frequency Identification Technology

The scarcity of fuel oil in Indonesia often occurs due to delays in delivery caused by natural factors or transportation constraints. Theaim of this research is to develop systems of fuel distribution monitoring online and realtime using rule base reasoning method and radio frequency identification technology. The rule-based reasoning method is used as a rule-based reasoning model used for monitoring distribution and determine rule-based safety stock. The monitoring system program is run with a web-based computer application. Radio frequency identification technology is used by utilizing radio waves as an media identification. This technology is used as a system of tracking and gathering information from objects automatically. The research data uses data of delayed distribution of fuel from fuel terminal to consumer. The monitoring technique uses the time of departure, the estimated time to arrive, the route / route passed by a fuel tanker attached to the radio frequency Identification tag. This monitoring system is carried out by the radio frequency identification reader connected online at any gas station or specified position that has been designed with study case in Semarang. The results of the research covering the status of rule based reasoning that sends status, that is timely and appropriate paths, timely and truncated pathways, late and on track, late and cut off, and tank lost. The monitoring system is also used in determining the safety stock warehouse, with the safety stock value determined based on the condition of the stock warehouse rules.

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