SISTEM ESTIMASI POSISI DI DALAM GEDUNG BERTINGKAT MENGGUNAKAN METODE FINGERPRINT BERDASARKAN SUPPORT VECTOR MACHINE (SVM)

MARFIANSHAR, NANDA HASYIM and Malik, Reza Firsandaya and Firdaus, Firdaus (2019) SISTEM ESTIMASI POSISI DI DALAM GEDUNG BERTINGKAT MENGGUNAKAN METODE FINGERPRINT BERDASARKAN SUPPORT VECTOR MACHINE (SVM). Undergraduate thesis, Sriwijaya University.

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Abstract

The Position Estimation System in this study uses the location of a multi-story building, the D building of the Faculty of Computer Science, Indralaya University. This research continues from previous research which only uses 1 floor. This research was conducted 2 offline trials, the first experiment used 1 floor with 5 features and the second experiment used 3 floors with 10 features. The results of the first trial training data yielded a percentage of 89% and the second trial resulted in a percentage of 98%. The use of the Support Vector Machine (SVM) Kernel Gaussian Radial Base Function (RBF) algorithm for testing the ownership rating system reaches 86.87% for the rating labels in this study.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	sistem estimasi posisi, vitur, support fector mechine, gaussian radial basic function
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science. T Technology > T Technology (General) > T1-995 Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5.S72 Computer networks
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 4314 not found.
Date Deposited:	20 Jan 2020 07:41
Last Modified:	20 Jan 2020 07:41
URI:	http://repository.unsri.ac.id/id/eprint/24449

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