Article Per Year (5 Year)
p-Index From 2020 - 2025
2.908
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electronics and Instrumentation Systems Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JMM (Jurnal Masyarakat Mandiri) J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Engineering and Scientific Research (JESR) Journal of Computer Networks, Architecture and High Performance Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Bangkit Indonesia TECHNOVATE Galaksi KOMET
Wiguna, I Komang Arya Ganda
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Galaksi

 1 
Innovative UI/UX Analysis of Cooperative Apps through Design Thinking Fanani, Rizki Dwi; Wiguna, I Komang Arya Ganda; Iskandar, Adi Panca Saputra; Parwita, Wayan Gede Suka
Jurnal Galaksi Vol. 1 No. 1 (2024): Galaksi - May 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i1.4

Abstract

Radha Krisna Savings and Loan Cooperative operates as an entity affiliated with Krisna Holding Company, more commonly referred to as Krisna Oleh-oleh. Although Radha Krisna Savings and Loan Cooperative has been in operation since 2010, it did not begin utilising a desktop application as its information system until 2014. This application has since been employed to facilitate a variety of transaction processes. The issue at the Radha Krisna Savings and Loan Cooperative is that the utilised application has begun to fail to support user requirements for transactions, as certain menus, features, user interface, and user experience continue to fall short of user expectations. In light of this issue, it is imperative to conduct an analysis of the collaborative application and construct a prototype that satisfies the diverse requirements of users, serving as a benchmark for the improvement of forthcoming applications. Utilising the Design Thinking method, prototype development consists of the following phases: Emphasise, Define, Ideate, Prototype, and Test. Figma is the instrument utilised for prototyping. A User Experience Questionnaire (UEQ) is administered to a sample of eight managers from the Radha Krisna Savings and Loan Cooperative as part of the testing phase. Based on the Benchmark Data, the average value for the attractiveness scale is 2.01 (Excellent), the average value for clarity is 2.31 (Excellent), the average value for efficiency is 1.91 (Excellent), the average value for accuracy is 1.81 (Excellent), the average value for stimulation is 2.06 (Excellent), and the average value for novelty is 1.94 (Excellent).
Sentiment Analysis of YouTube Comments on the Closure of TikTok Shop Using Naïve Bayes and Decision Tree Method Comparison Armaeni, Putu Pebri; Wiguna, I Komang Arya Ganda; Parwita, Wayan Gede Suka
Jurnal Galaksi Vol. 1 No. 2 (2024): Galaksi - August 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i2.15

Abstract

As technology advances, YouTube has become a social media platform that allows users to watch, broadcast, and share videos. One of the videos that has garnered a lot of comments from the public is about the closure of TikTok Shop. This research uses two methods: Decision Tree and Naïve Bayes. The aim of this study is to compare the Naïve Bayes and Decision Tree methods in analyzing public sentiment regarding the closure of TikTok Shop. The test results for both methods are not significantly different. Each method is divided into three research scenarios. In Scenario 1, with an 80:20 data split, the Decision Tree method achieved an accuracy of 74.71%, a precision of 57%, a recall of 57%, and an F1-score of 57%, while Naïve Bayes had an accuracy of 73.96%, a precision of 58%, a recall of 34%, and an F1-score of 29%. In Scenario 2, with a 70:30 data split, the Decision Tree method achieved an accuracy of 73.27%, while Naïve Bayes achieved an accuracy of 73.99%. In Scenario 3, with a 60:40 data split, the Decision Tree method achieved an accuracy of 71.78%, while Naïve Bayes achieved an accuracy of 74.02%. The evaluation results indicate that the Decision Tree method using an 80:20 data split has superior accuracy compared to the Naïve Bayes method.
Co-Authors Aripurnama, I Kadek Ade Aristana, Made Dona Wahyu Armaeni, Putu Pebri Artha, I Putu Mahesa Kama Asana, I Made Dwi Putra Darmika, Kadek Jaya Erlina Putri, Ni Putu Mita Fanani, Rizki Dwi Gde Brahupadhya Subiksa Hardiatama, Kadek I Gede Iwan Sudipa I Gusti Made Ngurah Desnanjaya I Made Aditya Nugraha I MADE DEDY SETIAWAN . I Nyoman Tri Anindia Putra I Wayan Agus Surya Darma Ida Bagus Adisimakrisna Peling Ida Bagus Gede Sarasvananda Iskandar, Adi Panca Saputra Made Pasek Agus Ariawan Mahardika , Dewa Gede Candra Meinarni, Ni Putu Suci Meri Aryati, Ni Wayan Muni, Gede Dharma Sahasra Ni Luh Wiwik Sri Rahayu Ginantra Ni Putu Eka Kherismawati Ni Wayan Suardiati Putri Noris, I Kadek Pranata, I Made Dicky Putra, Putu Satria Udyana Putu Wirayudi Aditama Radhitya, Made Leo Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sanusi, Rikcy Semadi, Ketut Ngurah Septiawan, I Kadek Jerry Sunarya, I Wayan Ulandari, I Gusti Agung Ayu Manik Waas, Devi Valentino Wayan Gede Suka Parwita Widiartha, I Komang Kurniawan Wiguna, I Wayan Darma Wiyata Putra, I Dewa Putu Gede