PENGEMBANGAN SISTEM INFORMASI ABSENSI MAHASISWA BERBASIS RFID DAN WEB DENGAN MENGGUNAKAN TEKNIK MULTILATERATION

RABBANI, MUHAMMAD FURQON and Oklilas, Ahmad Fali and Exaudi, Kemahyanto (2022) PENGEMBANGAN SISTEM INFORMASI ABSENSI MAHASISWA BERBASIS RFID DAN WEB DENGAN MENGGUNAKAN TEKNIK MULTILATERATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_56201_09011281823054.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (20MB) | Request a copy
	Text RAMA_56201_09011281823054_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8MB) | Request a copy
Preview	Text RAMA_56201_09011281823054_0015107201_0025058403_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (9MB) | Preview
	Text RAMA_56201_09011281823054_0015107201_0025058403_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (444kB) | Request a copy
	Text RAMA_56201_09011281823054_0015107201_0025058403_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_56201_09011281823054_0015107201_0025058403_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_56201_09011281823054_0015107201_0025058403_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7kB) | Request a copy
	Text RAMA_56201_09011281823054_0015107201_0025058403_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (131kB) | Request a copy
	Text RAMA_56201_09011281823054_0015107201_0025058403_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy

Abstract

In general, the attendance system at the institution is currently still using the manual method using the attendance list in checking student attendance. This creates an opening for fraud. In this study, an indoor mapping system was created using RFID media. Where each student position represented by the RFID tag was tracked further and mapped its whereabouts. So that in the end the attendance status of each student is updated automatically. The concept of this attendance system has been proposed before. unfortunately, the accuracy of the system in making predictions is still not accurate. In this study, the location of the RFID tag was measured using four RFID antennas by applying the Multilateration technique. Multilateration itself is a location predicting technique based on the distance of the object to the reference point. In the application of Multilateration distance is needed. To convert the RSSI which is obtained from the RFID device into the distance, machine learning algorithms are used. Machine Learning which is compared in this research is Linear Regression and Support Vector Regression. This mapping system is eventually loaded into a web form that can be accessed by learning devices so that they can be used. Based on the results of this study, it was found that an indoor mapping system could be built using the Multilateration technique. Where this technique can map the presence of RFID tags with an average error of 39.4401 cm. In converting distance, it is known that SVR is better with an average error of 19.594227 cm while Linear Regression has an error of 35.255 cm. In this study, the mapping system was also successfully loaded into the attendance information system in a web form using the help of Flask as a framework and Jinja as a web template engine for the Python programming language.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	RFID, Indoor Positioning System, Multilateration, Algoritma Nelder-Mead, Web, Sistem Informasi Absensi
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.B45 Big data. Machine learning. Quantitative research. Metaheuristics. Q Science > QC Physics > QC676-678.6 Radio waves (Theory) T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Furqon Rabbani
Date Deposited:	22 Jul 2022 08:23
Last Modified:	22 Jul 2022 08:23
URI:	http://repository.unsri.ac.id/id/eprint/74451

Actions (login required)

View Item