Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Smart Techno (Smart Technology, Informatic and Technopreneurship)
I Wayan Budi Suryawan
STMIK Primakara
Computer Science & IT Control & Systems Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS SENTIMEN REVIEW WISATAWAN PADA OBJEK WISATA UBUD MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE I Wayan Budi Suryawan; Nengah Widya Utami; Ketut Queena Fredlina
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i1.2242

Abstract

Since the world was hit by the Covid-19 pandemic, it had an impact on activities in Ubud. According to the Central Bureau of Statistics from Bali, the number of foreign tourists visiting from January to October 2021 has decreased by 99.996 percent. On October 14 2021 tourist attractions in Ubud began to reopen. Based on these problems, this research will carry out sentiment analysis from reviews on the TripAdvisor site on tourist attractions in Ubud using the Support Vector Machine algorithm with the Knowledge Discovery in Database method. The results obtained in this study resulted in 551 positive sentiment and 118 negative sentiment based on 669 data test, these results resulted in a positive value for tourist attractions in Ubud. Testing will be carried out on the Support Vector Machine algorithm using the Confusion Matrix which gets good results in conducting sentiment analysis with an accuracy of 84.01%, a recall of 89.83%, a precision of 90.40% and an F1-Score of 90. 11%.
Implementasi Data Mining Untuk Mengklasifikasikan Produk Pada Sebuah Supermarket Mengunakan Algoritma ID3 Pada Orange Nengah Widya Utami; I Wayan Budi Suryawan
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 3 No. 1 (2021)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.293 KB) | DOI: 10.59356/smart-techno.v3i1.33

Abstract

Technological developments are increasingly increasing or developing very rapidly. The development of technology has also affected the increasing needs of the community, so supermarkets and retailers are competing to provide various types of products or daily needs. However, in every collection or supermarket, it is necessary to know what types of products are needed by customers who will later become targets. To help shops and supermarkets, the authors will conduct an analysis to find out the types of products that customers like by implementing data mining in supermarket classification using the ID3 algorithm
Co-Authors Ketut Queena Fredlina Nengah Widya Utami