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All Journal G-Tech : Jurnal Teknologi Terapan
Ratna Juita
Universitas Papua, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Design and Evaluation of UI/UX Using the Heuristic Evaluation Method: The Case of Universitas Papua Website Natasya Yusinta Subay; Dedi I. Inan; Ratna Juita; Marlinda Sanglise; Devid Riswandy Podajow
G-Tech: Jurnal Teknologi Terapan Vol 8 No 2 (2024): G-Tech, Vol. 8 No. 2 April 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i2.4140

Abstract

This research focuses on designing and evaluating user interface/user experience (UI/UX) of the Informatics Engineering website profile of Papua University using the Heuristic Evaluation method. One crucial aspect of website design is the UI design, which serves as the interaction tool between the user and the website itself, thus determining the user experience. The research method includes problem identification, literature review, UI design, questionnaire testing, evaluation, and result analysis. The questionnaire as a tool for the evaluation obtained data from 21 respondents, including 4 lecturers of Informatics Engineering experiencing in this field. The analysis concludes that there is an average severity level of 2, indicating minor issues in the website UI design. Aspects requiring further improvement include Error Prevention System, Recovery and System, and Help and Documentation. However, these aspects can still be improved to enhance the quality of website design. Suggestions for further development include adding error message notification features, feedback features, and design documentation to enhance user experience when using the website.
Application of Simple Additive Weighting (SAW) Method in Decision Support System for Selecting Study Programs At The University Of Papua Fransiskus Jekson Rua; Dedi Iskandar Inan; Marlinda Sanglise; Ratna Juita; Lorna Yertas Baisa
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5103

Abstract

To help prospective students choose a study program that suits their abilities and interests, it is necessary to design a decision support system. This system aims to facilitate the selection process of study programs for prospective students. This research aims to develop a decision support system that can help prospective students in choosing a study program at the Faculty of Engineering, University of Papua in an objective and structured manner. This study applies the Simple Additive Weighting method to facilitate the decision-making process by considering a number of relevant criteria. The evaluation is based on the following criteria: tuition fees, accreditation status, number of teaching staff and staff, and job prospects. The findings of the study revealed that the Informatics Engineering and Civil Engineering Study Programs, both at the S1 level, obtained the highest identical preference value, namely 1, outperforming other study programs. However, the best alternative is the S1 Informatics Engineering Study Program.
Sentimen Analisis & Topik Modeling menggunakan Latent Semantik Indexing (Studi Kasus: Aplikasi Detikcom) Glenzkovic Samuel Moniharapon; Dedi Iskandar Inan; Ratna Juita; Victor Arie Lambadya Sirait
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5434

Abstract

The proliferation of digital news platforms has transformed information consumption, making user experience (UX) a key success factor for Detik.com, a leading news application in Indonesia. This research aims to explore the relationship between UX and news through sentiment analysis and topic modelling. The methods include web scraping for data collection, descriptive analysis for sentiment, and Latent Semantic Indexing (LSI) for topic modelling. Out of 14,320 reviews analyzed, 45.6% were positive, focusing on the speed of updates and news quality. Conversely, 41.18% of reviews were negative, highlighting disruptive ads and login issues, while 13.76% were neutral. LSI identified eight main topics, including user experience and ad complaints. Visualizations through heatmaps, distance maps, and word clouds emphasized terms like "news" and "ads." This research recommends that Detik.com developers reduce ad disruptions, fix technical problems, and understand frequently discussed topics to enhance user satisfaction.
Co-Authors Dedi I. Inan Dedi Iskandar Inan Devid Riswandy Podajow Fransiskus Jekson Rua Glenzkovic Samuel Moniharapon Lorna Yertas Baisa Marlinda Sanglise Natasya Yusinta Subay Victor Arie Lambadya Sirait