Image of SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE
Bookmark Share

Skripsi

SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE

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.

Availability
#
Central Library (Referens) T406002021
T40600
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T406002021
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya.,
Collation
xiv, 46 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.707
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Data Sistem Komputer
Specific Detail Info
-
Statement of Responsibility
Other version/related
TitleEditionLanguage
KLASIFIKASI KEKASARAN PERMUKAAN PROSES FACE MILLING CNC PADA BAJA S45C MENGGUNAKAN METODE DECISION TREE C5.0-id
PREDIKSI TINGKAT RISIKO KREDIT DENGAN RANDOM OVER-UNDER SAMPLING PADA METODE ENSEMBLE MENGGUNAKAN ALGORITMA DECISION TREE ID3, RANDOM FOREST DAN REGRESI LOGISTIK BINERid
PREDIKSI CURAH HUJAN WILAYAH KOTA PALEMBANG MELALUI PENERAPAN MACHINE LEARNING DENGAN METODA DECISION TREEid
PENERAPAN FUNGSI KEANGGOTAAN NON LINIER PADA METODE FUZZY DECISION TREE ITERATIVE DICHOTOMISER 3 (ID3) UNTUK KLASIFIKASI PENYAKIT JANTUNGid
TEKNIK OVERSAMPLING UNTUK MEMPREDIKSI STATUS PASIEN BEDAH TORAKS MENGGUNAKAN METODE DECISION TREE C4.5id
PENERAPAN FUNGSI KEANGGOTAAN NON LINIER PADA METODE FUZZY DECISION TREE ITERATIVE DICHOTOMISER 3 (ID3) UNTUK KLASIFIKASI PENYAKIT JANTUNGid
PREDIKSI CURAH HUJAN WILAYAH KOTA PALEMBANG MELALUI PENERAPAN MACHINE LEARNING DENGAN METODA DECISION TREEid
File Attachment
Comments
You must be logged in to post a comment