Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 INOVTEK Polbeng - Seri Informatika
I Dewa Made Krishna Muku
Institut Bisnis dan Teknologi Indonesia
Computer Science & IT Education

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

Found 2 Documents
Search

 1 
SISTEM INFORMASI PENJUALAN KERAJINAN BAMBU PADA UD. TAMAN LESTARI BERBASIS WEBSITE I Kadek Putra Agung Darmawan; Ni Wayan Sumartini Saraswati; I Dewa Made Krishna Muku
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 11 No. 2 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UD. Taman Lestari is a business engaged in the sale of various kinds of bamboo and various types of handicrafts from bamboo such as processed Balinese handicrafts (klakat, sanggah solar, kulkul and others) and bamboo decoration crafts (bamboo wall lamps, water showers, tables). , and bamboo chairs). Based on the results of observations, the business process of selling bamboo at UD. Taman Lestari happened that in one day there were 5-15 customers who made purchases of bamboo and bamboo crafts which in one day customers could purchase 20 types of goods and the owner recorded purchases of goods made by customers who still used notebooks. Based on the problems above, the authors found an idea to design and build a website-based sales system, so that customers can see products that are sold online and admins can manage data and reports easily. The research method in designing this system uses the waterfall method. The final result of this research is the construction of a website as an intermediary medium for owners and customers and this research produces 2 reports, namely, transaction reports and inventory reports. The system development has passed blackbox testing.
Sentiment Analysis of Tourists’ Perceptions of Ubud as a World Gastronomy Destination Using the Lexicon-SVM Method Ni Wayan Sumartini Saraswati; I Wayan Dharma Suryawan; I Kadek Agus Bisena; I Dewa Made Krishna Muku; Dewa Ayu Kadek Pramita
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/zxfzmr57

Abstract

The development of Ubud as a sustainable gastronomic tourism destination requires understanding tourist perceptions expressed on digital platforms. This study analyzes tourist sentiment toward Ubud’s gastronomy using English-language reviews from TripAdvisor and X (formerly Twitter) through a hybrid Lexicon–Support Vector Machine (SVM) approach. A total of 28,550 pieces of textual data were analyzed, consisting of 23,647 TripAdvisor reviews and 4,903 X posts. The methodology includes data collection, text preprocessing, sentiment labeling using the VADER lexicon, TF-IDF feature extraction, and SVM classification. Model performance was evaluated using accuracy, precision, recall, and F1-score. The results show that positive sentiment dominates on both platforms, with accuracies of 89.7% for X and 92.31% for TripAdvisor. Word cloud analysis further indicates that tourist perceptions are influenced by food quality, service, atmosphere, and pricing. These findings demonstrate the potential of the hybrid Lexicon–SVM approach for supporting sustainable gastronomic tourism development in Ubud. The study also contributes comparative insights into sentiment characteristics between structured reviews and real-time social media platforms.
Co-Authors I Kadek Agus Bisena I Kadek Putra Agung Darmawan I Wayan Dharma Suryawan Pramita, Dewa Ayu Kadek Saraswati, Ni Wayan Sumartini