SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE

INDRIANI, KUSUMA DWI and Malik, Reza Firsandaya (2021) SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE. Undergraduate thesis, Sriwijaya University.

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Abstract

This thesis is present determination system object position in the room with parameter Received Signal Strenght Indicator (RSSI). RSS collected fom access point of building D majoring in computer system, Sriwijaya Univesity by comparing training dataset and testing dataset. Decesion Tree is created using a reinforced DT algorithm based on the training data obtained. The experimental result show the percentage of testing accuracy by comparing training data and testing data is 73,84%. The system for determining the object position in the room using the Decision Tree algorithm has an overall level of accuracy that is not too good, but by using a decision tree algorithm, the computational cost can be reduced.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Estimasi posisi, RSSI, Decision Tree
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 10056 not found.
Date Deposited:	22 Jan 2021 04:47
Last Modified:	22 Jan 2021 04:47
URI:	http://repository.unsri.ac.id/id/eprint/40600

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