Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Mestaka: Jurnal Pengabdian Kepada Masyarakat Applied Information Technology and Computer Science (AICOMS) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Fellycia Caroline
Universitas Multi Data Palembang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Sentimen Pengguna X dan YouTube Terhadap Carmen Hearts2Hearts Menggunakan Metode IndoBERT Fellycia Caroline; Syalsabilla Valentisyesa; Muhammad Rizky Pribadi
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p23

Abstract

The rapid growth of social media has increased the amount of public opinion expressed online, particularly on platforms such as X and YouTube, where users actively share their views regarding public figures and entertainment topics. This study aims to analyze public sentiment toward Carmen, a member of the K-pop group Hearts2Hearts, using the IndoBERT model for sentiment classification. Data were collected from X and YouTube comments through web scraping techniques and combined into a single dataset to obtain more diverse opinions. The research process involved several stages, including text preprocessing, manual sentiment labeling, dataset splitting, model training, and evaluation. The preprocessing stage consisted of duplicate data removal, case folding, noise removal, tokenization, stopword removal, and stemming to improve data quality before classification. The dataset was categorized into three sentiment classes: positive, neutral, and negative, then divided into training and testing data using an 80:20 ratio. The IndoBERT model was trained using transformer-based deep learning to understand the context of Indonesian-language text more effectively. Evaluation results showed that the model achieved an accuracy of 72.41%, precision of 75.82%, recall of 72.41%, and F1-score of 71.15%, indicating that IndoBERT performs effectively in classifying sentiment on Indonesian social media data despite challenges such as informal language and ambiguous expressions.
Perancangan UI/UX Pada Aplikasi Elaruna Dengan Metode Design Thinking Fellycia Caroline; Steffanie Angelica; Muhammad Fajar Ariansyah; Serenity Devina Suryanto; Muhammad Rizky Pribadi
Applied Information Technology and Computer Science (AICOMS) Vol 4 No 2 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v4i2.1825

Abstract

Indonesia has great potential in the tourism sector due to its rich culture and natural beauty, but it still faces challenges in the form of limited access to integrated and reliable information for tourists. This study aims to design a mobile-based tourism information application user interface (UI/UX) that provides quick, accurate, and user-friendly access to information. The method used is Design Thinking, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. The design process was carried out using a user-centered approach to ensure the design meets the needs and preferences of tourists. Test results show that most users find the application interface easy to use, visually appealing, and clearly navigable, with 91.3% of respondents stating that the navigation is easy and 73.9% feeling that the application runs smoothly. This demonstrates that the Design Thinking approach is effective in producing design solutions that are responsive to user needs. This study is expected to contribute to the development of digital tourism applications in Indonesia and serve as a foundation for further research in the development of features and broader integration of information technology.
Pelatihan Pembuatan Website HTML Menggunakan VS Code Di SMP Xaverius Maria Palembang Fellycia Caroline; Serenity Devina Suryanto; Raphael Lee; Jonathan Jason Constantine; Daniel Udjulawa; Muhammad Rizky Pribadi
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2026): JUNI 2026
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v5i3.1001

Abstract

The development of digital technology requires students to possess basic skills in utilizing technology creatively and productively, including creating simple websites. However, most students still do not understand the basic process of website development. This community service activity aimed to provide training on creating profile websites using HTML with the assistance of Visual Studio Code for class 9 students at SMP Xaverius Maria Palembang. The methods used in this activity were community education and hands-on training through material presentation, demonstrations, independent practice, discussions, and evaluations. The results showed that participants were able to understand the basic structure of HTML and follow the process of creating simple websites properly. In addition, participants showed high enthusiasm during the activity and began to understand the fundamentals of simple website development. This activity provided new experiences for participants and helped improve students’ knowledge and interest in the field of information technology.
Co-Authors Daniel Udjulawa Jonathan Jason Constantine Muhammad Fajar Ariansyah Muhammad Rizky Pribadi Raphael Lee Serenity Devina Suryanto Steffanie Angelica Syalsabilla Valentisyesa