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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Language and Health
Dananjaya, Md. Wira Putra
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Computer Science & IT Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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Penerapan Algoritma Naïve Bayes untuk Prediksi Penyakit Depresi pada Mahasiswa gama, Adie Wahyudi Oktavia; Grren, Agustini Degni Melsy; Paramartha, I Gusti Ngurah Darma; Prathama, Gede Humaswara; Widnyani, Ni Made; Dananjaya, Md. Wira Putra
Journal of Language and Health Vol 6 No 2 (2025): Journal of Language and Health
Publisher : CV. Global Health Science Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/jlh.v6i2.6926

Abstract

Depression is one of the most serious mental health problems among college students, but it often goes unnoticed due to social stigma and limited access to psychological services. This study aims to apply the Naïve Bayes algorithm to predict depression in college students based on various factors, such as academic pressure, sleep duration, eating habits, financial stress, and family history of mental disorders. The model was built using 502 data obtained from the Kaggle platform, through the stages of data preprocessing, transformation, classification using Gaussian Naïve Bayes, and evaluation using a confusion matrix. The implementation process was carried out in Google Colab using the scikit-learn library. The evaluation results showed very good model performance with an accuracy of 97%, precision of 96%, recall of 98%, and F1-score of 97%. These findings indicate that the Naïve Bayes algorithm can be used effectively as an anonymous and efficient early screening tool for depression and has the potential to support increased awareness and mental health interventions in the college student environment.
User-Centered Design Approach in Developing User Interface and User Experience of Sculptify Mobile Application Dananjaya, Md. Wira Putra; Prathama, Gede Humaswara; Darmaastawan, Kadek
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4206

Abstract

In the increasingly digital era, user interface (UI) and user experience (UX) design have become crucial factors in application development. The success of an application is not only determined by its functionality, but also by how well users can interact with the application. User Centered Design (UCD) is an approach that places users as the main focus in every stage of design, from initial research to final evaluation, to ensure that the resulting product truly meets user needs and expectations. This study applies the UCD approach to the UI and UX design of the Sculptify application, which is designed to facilitate the buying and selling of sculptures and other three-dimensional works of art. Given the complexity and uniqueness of art product transactions, effective UI and UX design is very important. This study involves the active participation of potential users through methods such as interviews, surveys, and usability testing to create an intuitive interface and provide a satisfying experience for users. The research stage begins with research to understand user needs and preferences, followed by initial design and a series of tests and iterations based on user feedback. The final evaluation is carried out to measure the extent to which the final design meets user needs and expectations. The results of the UCD implementation are expected to provide valuable insights into the importance of placing users at the center of the design process and how this can improve the quality of interactions and overall user satisfaction.
Co-Authors Adie Wahyudi Oktavia Gama Darmaastawan, Kadek Gede Humaswara Prathama Grren, Agustini Degni Melsy I Gusti Ngurah Darma Paramartha Widnyani, Ni Made