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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Buana Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Systems and Informatics Teknika MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Rusjayanthi, Ni Kadek Dwi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Evaluation and Improvement of User Interface Design in Mobile Delivery Services With User Centered Design Approach and Heuristic Evaluation (Case Study: Kirimaja Application) Ardhani, Ni Komang Sucitra; Wirdiani, Ni Kadek Ayu; Rusjayanthi, Ni Kadek Dwi
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 3 (2023): Vol. 11, No. 3, December 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i03.p07

Abstract

KirimAja is a mobile-based goods delivery service application that is useful for helping people to send goods easily. This application has several features for sending goods, such as the Sameday Service, Nextday Service, Regular Service, Check Rates, and Check Receipts features. Usability problems in the KirimAja application were found based on observations and responses found in the "Google Play Store" and "App Store", namely in an unattractive appearance and display of error messages that were not well understood, therefore a usability evaluation and improvement of the user interface design are needed help the user when using the application. Evaluation and improvement of the user interface design in the KirimAja application uses the User Centered Design approach and the Heuristic Evaluation method, while testing user satisfaction with the KirimAja application uses the System Usability Scale method. The design improvements made resulted in increased results, namely by using the Heuristic Evaluation method to get scores on the H5 Error Prevention and H9 Help Users Recognize, Diagnoze, and Recover from Errors aspects from 2 to 0, while using the System Usability Scale method experienced an increase in the grade scale from D to A.
Analisis Sentimen Masyarakat terhadap Tayangan Televisi Nasional menggunakan Metode Deep Learning Bouchra, Ferhati; Suarjaya, I Made Agus Dwi; Rusjayanthi, Ni Kadek Dwi
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia’s television industry faces fierce competition, particularly in chasing ratings and ad revenue. This has ultimately led to declining broadcast quality on some national TV stations. This research aims to understand perceptions towards content quality by focusing on public opinion through sentiment analysis of social media (Twitter) using Bi-LSTM and Word2Vec methods. The research involved data collection, preprocessing, vectorization, data splitting, model training and testing, evaluation to find the best model, sentiment data classification, and finally, sentiment data analysis. Using a dataset of 515,492 sentiment points, the model achieved an accuracy of 96.4%, precision of 72.1%, recall of 72.0%, and f1-score of 72.8%. Analysis of Twitter user sentiment leans towards neutral and positive perceptions. The results of the sentiment analysis of Twitter users tend to be neutral and positive. The results of the public satisfaction trend show a change in the pattern of public satisfaction with the quality of television station content.
The Analysis and Improvement of User Interface Design on Climate Information Service Mobile Application Using the Lean UX Method Fauzi, Muhammad; Wirdiani, Ni Kadek Ayu; Rusjayanthi, Ni Kadek Dwi
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.973

Abstract

Info BMKG is an iOS and Android app providing weather, temperature, air quality, and earthquake data across Indonesia. Issues related to the usability of the BMKG Info application were identified through observations and feedback found on the Google Play Store, which has a rating of 4.4. The responses identified included an unattractive appearance, limited features, increasing complexity, and a need for more innovation, necessitating usability evaluation and UI design improvements to enhance user experience. The analysis and redesign follow the Lean UX approach and Heuristic Evaluation method. Usability testing, specifically the Post-Study System Usability Questionnaire, is used to assess user satisfaction. The study finds that implementing Lean UX significantly improves the system's quality and user experience. UI design enhancements, based on usability testing, improve navigation, information clarity, and ease of use. Recommendations result in better outcomes, with Heuristic Evaluation yielding scores of H1 = 1 (System status visibility), H2 = 1 (Match between the system and the real world), H4 = 1 (Consistency and standards), H5 = 1 (Error prevention), H7 = 1 (Flexibility and efficiency of use), H8 = 1 (Aesthetic and minimalist design), and H9 = 1 (Help users recognize, diagnose, and recover from errors). The Post-Study System Usability Questionnaire method shows an improvement from high to a better category.
Analysis and design of UI and UX of the Taring application using goal-directed design and cognitive walkthrough methods Tiyasa, Abyudaya; Wirdiani, Ni Kadek Ayu; Rusjayanthi, Ni Kadek Dwi
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i3.142-156

Abstract

Taring is a web-based application used for online administrative services for both Indonesian citizens and foreign nationals in the field of population administration. It is published by the Denpasar Population and Civil Registration Office. The taring application was released on June 8, 2020, and includes features such as managing Family Cards, e-IDs, Change of Residence Letters, and Legalization. Analysis and evaluation of the Taring application are necessary to improve usability, quality of use, and the provided information. This is achieved through the utilization of the Goal-Directed Design method and the Cognitive Walkthrough method in its process. The employed analysis and design method is Goal-Directed Design, which focuses on designing and developing interactive systems to make them more useful, with a focus on the diverse goals of the users. The evaluation methods used are the Cognitive Walkthrough and the System Usability Scale questionnaire, which assess usability and the application's usage based on observations of the users. The results of the Cognitive Walkthrough testing revealed 20 issues related to user interface and user experience, while the research findings indicated an increase in effectiveness and efficiency. The research also demonstrated an improvement in usability using the System Usability Scale method, with the score rising from 50.8 (E) to 88.9 (A).
Designing a Prototype User Interface Website into Mobile Form using the Goal-Directed Design Method (Case Study: Population Administration Service Website) Wirayuda, I Made Bagus Surya; Sukarsa, I Made; Rusjayanthi, Ni Kadek Dwi; Wisswani, Ni Wayan
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p02

Abstract

The Population and Civil Registration Office in an Indonesian district has introduced a web-based service system that enables easy access for the public anytime and anywhere. This website offers services such as birth certificate issuance, electronic ID cards (e-KTP), and various other civil registration documents. Despite advancements in service delivery, challenges persist, particularly regarding inadequate interface design that often confuses users. Through heuristic evaluation, it was found that 12 aspects require improvement with average scores below 2.50. Therefore, a redesign is necessary to address user interface issues. The redesign employs the Goal-Directed Design (GDD) method to provide better recommendations for website development. Following these improvements and subsequent heuristic evaluations, there was a significant increase in average improvement scores, reaching 4.13.
Abstractive Text Summarization to Generate Indonesian News Highlight Using Transformers Model Putri, I Gusti Agung Intan Utami; Trisna, I Nyoman Prayana; Rusjayanthi, Ni Kadek Dwi
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1082

Abstract

The increasing volume of information has led to the phenomenon of information overload, a condition where individuals struggle to filter and comprehend information efficiently within a limited time. To address this issue, automatic text summarization serves as an essential approach. This research aims to assess effectiveness of two transformer-based models, IndoT5 and mBART, by comparing their ability to generate abstractive summaries (highlight) of Indonesian news articles. The abstractive approach allows models to generate new sentences with more natural language structures compared to extractive methods. Fine-tuning for both models was conducted using a dataset comprising 10,410 news articles from Tempo.co, each containing full news content and a corresponding highlight used as a reference. ROUGE and BERT-Score metrics were employed in the evaluation process to assess structural and semantic correspondence between the references and the generated summaries. Results show that IndoT5 outperformed in terms of ROUGE-1 (0.43087), ROUGE-2 (0.29143), ROUGE-L (0.39224), BERT-Score Recall (0.89130), and F1 (0.87708), indicating its capability to generate complete and relevant news highlight. Meanwhile, mBART achieved a higher BERT-Score Precision (0.86717) but tended to generate less informative outputs. The findings of this research are expected to aid in enhancing the coherence and efficiency of abstractive summarization systems.
Food Recipe Recommendation System with Content-Based Filtering and Collaborative Filtering Methods Widiantari, Ni Putu Triska; Suarjaya, I Made Agus Dwi; Rusjayanthi, Ni Kadek Dwi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 3 (2025): Article Research July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i3.14778

Abstract

Cooking your own food at home is a good step toward reducing fast food consumption. Fast food increases the risk of dangerous diseases. The diversity of recipe information available on the internet makes it difficult to choose recipes that match user preferences. Mobile technology can help with this by recommending recipes that better suit users' eating habits. This makes the transition to a healthier diet easier. Therefore, in this study, a recommendation system was developed that can recommend recipes based on the preferences of Android users. Two main recommendation methods are used in this study: content-based filtering and collaborative filtering. Using cosine similarity, a content-based recommendation system identifies the proximity between a recipe for food and its related context. The history of user comments on recipes serves as implicit feedback for the collaborative recommendation algorithm. This eliminates the need for explicit evaluations, such as ratings. This recommendation system generates recommendations in the form of the top ten food recipes with an evaluation matrix, referred to as NDCG@k and Hit-Ratio@k. The tests revealed that a content-based filtering technique may produce helpful recommendations, with the highest similarity score of 0.41 for the entry "chocolate cake that you can easily make at home." Meanwhile, in the collaborative filtering method using the Neural Collaborative Filtering (NCF) approach, the system shows consistent performance improvements, with the MAP@10 value increasing from 0.705 to 0.767 and the NDCG@10 from 0.78 to 0.83 after 10 training epochs. Keywords: Recommendation systems; content-based filtering; neural collaborative filtering; cosine similarity; implicit feedback
Usability Testing pada Simulator Media Pembelajaran Lalu Lintas Berbasis Android Saputra, I Made Ari; Bayupati, I Putu Agung; Rusjayanthi, Ni Kadek Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021824271

Abstract

Kurangnya kesadaran masyarakat terhadap aturan lalu lintas merupakan penyebab sering terjadinya kecelakaan di Indonesia. Masyarakat kesulitan untuk mempelajari aturan lalu lintas pada dunia nyata secara langsung karena resiko kecelakaan. Masyarakat Indonesia perlu mendapat edukasi lebih terhadap aturan lalu lintas yang ada.  Simulator lalu lintas merupakan media pembelajaran yang ditunjukan kepada masyarakat agar masyarakat dapat mempelajari aturan lalu lintas secara virtual. Simulator lalu lintas dapat digunakan oleh masyarakat untuk melakukan eksplorasi tentang fungsi rambu lalu lintas dan marka jalan yang ada pada dunia nyata tanpa adanya risiko. Simulator lalu lintas menggunakan metode usability testing untuk mengukur dampak penggunaan simulator lalu lintas terhadap pengetahuan user. Metodologi penelitian simulator lalu lintas menggunakan metode waterfall. Pengujian usability testing pada simulator lalu lintas menunjukan hasil yang baik. Simulator edukasi lalu lintas dapat meningkatkan pengetahuan user tentang rambu lalu lintas dan marka jalan. Simulator lalu lintas dapat memberikan gambaran tentang aturan lalu lintas kepada masyarakat yang akan mengikuti ujian SIM (Surat Ijin Mengemudi). AbstractThe lack of public awareness about traffic regulation is a cause of frequent traffic accidents in Indonesia. People find it difficult to learn traffic rules in the real world directly because of the risk of accidents. Indonesian people need to get more education about the existing traffic rules. The traffic simulator is a learning media that is shown to the public so that people can learn about traffic rules virtually. Furthermore, the traffic simulators can be used by the people to explore the functions of traffic signs and road markings in the real world without any risk. The traffic simulator uses the usability testing method to measure the impact of using the traffic simulator on user knowledge. The research method of traffic simulator is waterfall method. Usability testing on the traffic simulator shows good results. Traffic education simulators can increase user knowledge about traffic signs and road marking. Traffic simulators can provide an overview of traffic rules to people who will take the SIM (Driving License) exam.
Analisis Sentimen Masyarakat terhadap Tayangan Televisi Nasional menggunakan Metode Deep Learning Bouchra, Ferhati; Suarjaya, I Made Agus Dwi; Rusjayanthi, Ni Kadek Dwi
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia’s television industry faces fierce competition, particularly in chasing ratings and ad revenue. This has ultimately led to declining broadcast quality on some national TV stations. This research aims to understand perceptions towards content quality by focusing on public opinion through sentiment analysis of social media (Twitter) using Bi-LSTM and Word2Vec methods. The research involved data collection, preprocessing, vectorization, data splitting, model training and testing, evaluation to find the best model, sentiment data classification, and finally, sentiment data analysis. Using a dataset of 515,492 sentiment points, the model achieved an accuracy of 96.4%, precision of 72.1%, recall of 72.0%, and f1-score of 72.8%. Analysis of Twitter user sentiment leans towards neutral and positive perceptions. The results of the sentiment analysis of Twitter users tend to be neutral and positive. The results of the public satisfaction trend show a change in the pattern of public satisfaction with the quality of television station content.
Co-Authors Anak Agung Kompiang Oka Sudana Ardhani, Ni Komang Sucitra Ayu Wirdiani Bimantara, Ranggashakti Bouchra, Ferhati Dwi Suarjaya, I Made Agus Hardinata, I Gede Arya I Ketut Gede Darma Putra I Made Agus Dwi Suarjaya I Made Sukarsa I Nyoman Piarsa I Putu Agung Bayupati Jaye, M. Tirje Sukme lattifia, tita Maharani, Putu Ary Silvia Ni Wayan Wisswani Nugraha, Putu Tulus Prabhaswara, Ilham Yoga Pratama, I Putu Adi Merta Putra, Kadek Crisnanda Dika Putri, I Gusti Agung Intan Utami Putu Wira Buana Saputra, I Made Ari Suputra, Made Dwipa Hutamanu Syamsiar, Syamsiar Tiyasa, Abyudaya Trisna, I Nyoman Prayana Wardy, Dwiki Krisnanda Wiartha, I Gusti Made Diva Widia Widiantari, Ni Putu Triska Wiranatha, AA.Kt.Agung Cahyawan Wirayuda, I Made Bagus Surya