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All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Info Sains : Informatika dan Sains
I Putu Dwi Guna Ambara Putra
Institut Bisnis dan Teknologi Indonesia (INSTIKI)
Computer Science & IT Education

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Decision Support System for Sentiment Analysis of Youtube Comments on Government Policies I Putu Agus Eka Darma Udayana; I Gusti Agung Indrawan; I Putu Dwi Guna Ambara Putra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1999

Abstract

Sentiment analysis is the process of classifying a text dataset as positive, negative or neutral. Youtube is one of the popular media used to provide responses to a problem. In the Jokowi era, infrastructure development was carried out massively and evenly, one of which was in Bali Province, namely the construction of the Mengwi-Gilimanuk Toll Road. The construction of the Mengwi-Gilimanuk Toll Road consumed a lot of people's agricultural land, which resulted in various pro and con responses from the community. From these problems, sentiment analysis is carried out to get community reviews related to the object being analyzed by utilizing algorithms to be able to classify opinions, in the construction of this system the naïve bayes algorithm is used with testing methods namely accuracy, precision, and recall. From the sentiment analysis conducted by utilizing 18 video links on YouTube with 701 comments, it produces positive sentiment as much as 50.64%, negative sentiment as much as 7.70% and neutral sentiment as much as 39.23%.
Smart Mobile Application for Detecting Balinese Masks to Introduce Balinese Culture to World Tourism Putu Gede Surya Cipta Nugraha; Putu Satria Udyana Putra; I Putu Agus Eka Darma Udayana; I Putu Dwi Guna Ambara Putra
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023
Publisher : SEAN Institute

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

Abstract

Indonesia, known for its remarkable cultural diversity, encompasses many ethnic groups, each preserving its distinct cultural heritage. Among Indonesia's cultural treasures is the ancient art of traditional mask-making, referred to as "topeng." Bali, in particular, stands out as a hub for topeng artistry, with roots tracing back to prehistoric eras, serving as a profound representation of Bali's rich cultural values. Bali showcases a broad spectrum of traditional dances incorporating masks as props. The use of shows in these performances often piques the curiosity of residents and tourists, prompting questions about the symbolism and cultural context surrounding their use. People recognize the physical appearance of masks but need to gain knowledge of their names and deeper cultural meanings. The inherent similarities among mask forms further confound both locals and foreign visitors in distinguishing between various types of Balinese masks. This research endeavors to tackle this issue by developing an Artificial Intelligence (AI) system that is integrated into a mobile application using the CNN (VGG-16) method. The primary objective is to introduce and promote the captivating Balinese mask culture and artistry, bolstering cultural tourism through cutting-edge mobile technology. The anticipated outcomes include a nationally accredited journal publication, a user-friendly mobile application, and the acquisition of intellectual property rights. This research constitutes a transition from Technology Readiness Level (TRL) 2 to TRL 3, wherein the AI framework will be rigorously validated, incorporating accuracy, precision, recall, and F1-score assessments, all seamlessly integrated within the mobile system.
Co-Authors I Gusti Agung Indrawan I Putu Agus Eka Darma Udayana, I Putu Agus Eka Putu Gede Surya Cipta Nugraha Putu Satria Udyana Putra