ANALISIS PENGARUH POSISI ANTENA PADA SISTEM KEHADIRAN MAHASISWA (SIKEMAH) BERBASIS RFID MENGGUNAKAN ALGORITMA K NEAREST NEIGHBOR (KNN)

KURNIAWAN, MUHAMAD ARIEF and Oklilas, Ahmad Fali (2019) ANALISIS PENGARUH POSISI ANTENA PADA SISTEM KEHADIRAN MAHASISWA (SIKEMAH) BERBASIS RFID MENGGUNAKAN ALGORITMA K NEAREST NEIGHBOR (KNN). Undergraduate thesis, Sriwijaya University.

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Abstract

Attendance system are a system who informing of people attendance status wether employees or bachelor/student at institute or /company member. This research with title “Analysis Influent Antenna Position On Student Attendance System Using K Nearest Neighbor (Knn) Algorithm Based On RFID System”, with formulation of the problem how to implementing KNN algorithm of RSSI value obtained from RFID Reader System looking for an object position in the field. The purpose of this research is determining an object estimation position target tag with implementing KNN algorithm and determining average of smallest error from different antenna positions. Analysis program system using phyton program and it framed to obtained information of estimation position from the subject automatically with KNN based on RFID system. On the program will mentioning saved data file RSSI, after taking RSSI data and then the program will processing this RSSI value into estimation position from every reference tag and error generated. Smallest average error of 62,000 in centi meters with average error present of 22,222% and deviation standart of 53,817 in centi meters, so x average ± range between 115,820 in centi meters for maxymun error and 8,183 in centi meters for minimum error.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Absensi system, K-Nearest Neighbor, RSSI, RFID
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Administrator Library
Date Deposited: 01 Aug 2019 04:50
Last Modified: 15 Aug 2019 07:53
URI: http://repository.unsri.ac.id/id/eprint/1441

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