STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Vol 2, No 3 (2018)

Implementasi Data Mining Menggunakan Model SVM untuk Prediksi Kepuasan Pengunjung Taman Tabebuya

Agus Darmawan (Informatika, Universitas Indraprasta PGRI)
Nunu Kustian (Informatika, Universitas Indraprasta PGRI)
Wanti Rahayu (Informatika, Universitas Indraprasta PGRI)



Article Info

Publish Date
05 Apr 2018

Abstract

Park is an area built in hard and soft materials supporting each other and deliberately designed and created by people as an outdoor or indoor refreshment place. The Tabebuya Park in Jagakarsa, South Jakarta is a tourist attraction flocked by visitors on regular days and holidays. The place is very beautiful and can give a sensation different to the one in our daily activities. One of the ways to improve visitor’s satisfaction during their visit is by improving the park’s service quality. This research aims to predict the satisfaction of Tabebuya Park visitors by applying SVM (Support Vector Machine) algorithm method in which the experiments in the model are evaluated and validated using the Confusion Matrix and AUC (Area Under the Curve) with ROC (Receiver Operating Characteristic). From the results of the evaluation and validation, it can be concluded the average accuracy and performance of algorithm SVM is 86.00% with AUC value of 0.947.

Copyrights © 2018






Journal Info

Abbrev

STRING

Publisher

Subject

Computer Science & IT Mathematics

Description

STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering ...