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All Journal CogITo Smart Journal Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TEPIAN Servitium Smart Journal
Maringka, Raissa
Universitas Klabat
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Sentiment Analysis and Topic Detection on Post-Pandemic Healthcare Challenges: A Comparative Study of Twitter Data in the US and Indonesia Tangka, George Morris William; Chrisanti, Ibrena Reghuella; Waworundeng, Jacquline; Maringka, Raissa Camilla; Sandag, Green Arther
CogITo Smart Journal Vol. 10 No. 2 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i2.819.561-579

Abstract

This study examines public sentiment and key topics in Twitter discussions regarding the COVID-19 vaccine and the Omicron variant in the US and Indonesia. The importance of this research lies in understanding people's changing views on vaccination, especially in light of new virus variants. Using sentiment analysis with VADER and topic modeling with Latent Dirichlet Allocation (LDA), this research analyzes 637,367 tweets from the US and 91,679 tweets from Indonesia collected over two months from January 21 to February 21, 2022. The results reveal that US discussions on vaccines are predominantly positive, while those on Omicron are mostly negative. In contrast, discussions in Indonesia are largely neutral, followed by positive sentiment. Additionally, five main topics were identified for each country, with the US showing a broader range of vaccine-related discussions. These findings suggest that while the vaccine is seen as a source of hope in both countries, factors such as literacy, socioeconomic status, and education contribute to negative sentiment and vaccine resistance.
Perancangan Desain UI/UX Aplikasi Mobile Defisit Kalori Menggunakan Metode Design Thinking Wuisang, Metty; Mambu, Joe Yuan; Maringka, Raissa
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5511

Abstract

The increasing prevalence of lifestyle-related health issues highlights the necessity for innovative solutions to promote healthier habits. This study aims to design a better and more suitable user interface (UI) for the user experience (UX) of a mobile calorie deficit application using the Design Thinking method. The primary objective is to create a user-centric UI design that enhances user engagement and supports weight management goals. Through a comprehensive Design Thinking process, which includes empathizing with users, defining problems, ideating solutions, prototyping, and testing, we developed a UI design tailored to the needs of individuals seeking to manage their calorie intake effectively. The testing phase involved two scenarios. The first scenario achieved a miss click rate of 0-9% and a usability score ranging from 91 to 100. User feedback was continuously integrated to refine the design, ensuring usability and functionality. The results demonstrate that the well-structured UI design effectively improves user satisfaction and interaction. This research underscores the value of Design Thinking in developing user-centered interfaces for health management applications.
Emotion Mining User Review of the BRImo Mobile Banking Application Using the Decision Tree Algorithm Sondakh, Debby Erce; Maringka, Raissa C; Ayorbaba, Ferlien P; Mangi, Joanne S. C. B. T.; Pungus, Stenly Richard
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1721

Abstract

As consumer transaction preferences shifted from analog to digital, banks were compelled to develop digital transactions in the form of mobile banking. Users of mobile banking provide feedback regarding the application's usability. The opinions of users can be emotive. Emotions influence what a person emits or applies. Emotions are the behavioral response of a person when he is happy or unhappy. Thus, the manifestation of a person's emotions, whether in the form of facial expressions, verbal communication, written text, or judgment, can be used as a source of information to aid in decision making. The objective of this study is to apply emotion mining to the analysis of user evaluations of the BRImo application, one of the three most popular platforms in Indonesia as of August 2022, with a total of 800,000 reviews on the Play Store. Emotion Mining can be used to analyze the four categories of emotions expressed by users in the comments section: happy, angry, sad, and afraid. According to BRImo user evaluations, the decision tree algorithm is used to categorize happy, sad, afraid, and angry feelings. Using a decision tree to manage large data category sets is effective. The obtained dataset included 2959 happy classes, 2196 sad classes, 387 angry classes, and 81 scared classes. According to the findings of the analysis, a significant number of users of the BRImo application express positive sentiments in their evaluations, which are indicative of happy emotions. The Decision Tree algorithm yields results with a performance specification of 84.5%, sensitivity of 85.5%, and precision of 84.4%.
Co-Authors Ayorbaba, Ferlien P Cherry Lumingkewas Chrisanti, Ibrena Reghuella Ema Utami Erna Utami George Morris William Tangka Green Arther Sandag Jacquline Waworundeng Joe Yuan Mambu Khoirunnita, Aulia Kusnawi Kusnawi Makarawung, Reynard Justino Nehemia Mangi, Joanne S. C. B. T. Maringka, Rodney Giovanni Metty Wuisang Rodney Maringka Sondakh, Debby Erce Stenly Richard Pungus