Skripsi

SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002394	T40600	T406002021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T406002021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021

Collation

xiv, 46 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Komputer
Data Sistem Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

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