Article Per Year (5 Year)
p-Index From 2020 - 2025
2.392
P-Index
This Author published in this journals
All Journal Jurnal Pekommas Jurnas Nasional Teknologi dan Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Information Technology and Its Utilization Widya Teknik
Wikarsa, Liza
Universitas Katolik De La Salle Manado
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Information Technology and Its Utilization

 1 
Implementation of K-means Clustering Algorithm to Analyze the Familial Sentiments Towards COVID-19 Vaccination For Elementary School Students in Kalawat District Kairupan, Indah; Wikarsa, Liza; Kembuan, Audreyvia
Journal of Information Technology and Its Utilization Vol 6 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.2.5280

Abstract

Due to the Ministry of Health's policy, the Indonesian government mandates the public to receive the COVID-19 vaccination as a form of immunity against the coronavirus. This vaccination is not only for adults but also for children of a certain age. Regarding the provision of vaccination for elementary school students aged between 6 to 11 years, the families' responses to this predicament can cause significant barriers to those students being fully vaccinated. Thus, this research developed a web-based application that incorporated the K-means clustering method to group the sentiments of the families into three clusters, namely positive, neutral, and negative. The results showed that the application can identify and cluster the different familial responses from 279 respondents in Kalawat District toward the administration of COVID-19 vaccination to their underage children. The most dominant familial sentiment is positive followed by neutral and negative sentiments with the number of respondents as many as 120 respondents (43%), 113 respondents (41%), and 46 respondents (16%) respectively. This research can help the Health Office in North Minahasa Regency to evaluate public sentiments about vaccination for elementary school students as well as look for better ways to encourage vaccine trust and confidence in this district.
Application of Importance Performance Analysis Method for Service Identification in the Learning Process Sumampouw, Michael George; Wikarsa, Liza; Rumondor, Axl Marselino
Journal of Information Technology and Its Utilization Vol 7 No 1 (2024): June 2024
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.1.5577

Abstract

The learning process is a series of activities and interactions that occur as individuals acquire new knowledge, skills, attitudes or understanding through various means. Responses and feedback in the context of the classroom, practical experience or other learning resources are integral to this process. The Importance Performance Analysis (IPA) method is used to identify, measure, and evaluate the importance and performance of components in a system or organization. This study proposes a web-based application, namely Application of Importance Performance Analysis Method, to digitize the process of identifying service attributes in learning at the Faculty of Engineering, De La Salle Catholic University Manado. Using the IPA method, this application assists decision makers in formulating effective strategies and policies to improve the quality of education. The method used to develop this application is the Rapid Application Development method. This solution overcomes complicated data processing problems and provides convenience in compiling reports on the learning process every semester.
Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method Wikarsa, Liza; Sumampouw, Michael George; Tore, Christofel Mario
Journal of Information Technology and Its Utilization Vol 7 No 2 (2024): December 2024
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.2.5859

Abstract

Over the years, mountain climbing has become more popular among ordinary people, with interest suddenly spiking during this recent time. A well-prepared and route-knowledgeable climber is most likely to win half the battle. The task of selecting a mountain for first-time climbers can be a daunting one. The Simple Additive Weighting (SAW) method can help beginner climbers determine which mountain is best for them. This method enables users to assign weights to each criterion and alternative based on their preferences, facilitating direct comparisons between options, and calculating all possible combinations, making the process faster and more accurate. According to this study, a campsite, mountain height, natural resources, mountain beauty, and terrain difficulty are major factors to consider when choosing a mountain. The alternatives consist of six mountains in North Sulawesi—Mount Klabat, Lokon, Soputan, Mahawu, Empung, and Tampusu—assessed according to the established criteria. In conclusion, the Decision Support System using the SAW method was successfully developed to help beginner climbers choose mountains based on their preferences. This system includes features such as mountain search, SAW calculations, and top recommendations. Future updates could consist of more detailed mountain specifications and a broader selection of mountains.
Co-Authors Debby Paseru Junaidy Budi Sanger Kairupan, Indah Kalempouw , Miracle Kembuan, Audreyvia Kurnia, Henrico Lengkey, Chrisdityra Loha, Christ Henry Michael George Sumampouw Ngenget, Algy Oley , Edgard Rumondor, Axl Marselino Sombouwadil , Ticoalu Steven Pandelaki Sumajouw, Karen Taulu, Angelica Thomas Ch. Suwanto Tore, Christofel Mario Tumewu , Andrew Vianry Teguh Pangemanan