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All Journal JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Jelita, Rika
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Computer Science & IT Decision Sciences, Operations Research & Management

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Perancangan UI/UX Website Penjualan Toko Makmur Lestari Menggunakan Metode User Centered Design Jelita, Rika; Widiantoro, Suryo
Journal of Digital Ecosystem for Natural Sustainability Vol 5 No 1 (2025): Juli 2025
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v5i1.298

Abstract

In the digital age, online presence is inevitable. Accessibility and practicality have become lifestyle choices for modern society, which seeks ease in its activities. Therefore, businesses should be discerning in this opportunity by increasing their online visibility to meet user needs. A business website showcasing the products and services offered will be very helpful in providing convenience for users who don't want to spend time traveling to meet their needs. However, a user interface/user experience (UI/UX) that meets certain criteria is necessary to attract users to the business website. The UCD (user-centered design) method provides a series of steps that must be implemented to design a UI/UX that meets user needs in finding the information they desire. This research will discuss how this method was applied to developing the UI/UX for Toko Makmur Lestari, a building materials business. With the help of Figma design software, this research successfully produced an initial design that has been piloted with the business owner. The black box test of 12 website design functionalities has been in accordance with the initial requirements, while the SES (system usability scale) test also obtained a final score of 77, which means that the design has entered the good category in terms of effectiveness, efficiency and user satisfaction.
Penerapan Metode Radial Basis Function (RBF) dalam Mengklasifikasikan Penyakit Demam Berdarah Steffany; Purnajaya , Akhmad Rezki; Jelita, Rika; Tesvara, Eva; Nestelrody, Milson; Irwansyah , Joni
Journal of Digital Ecosystem for Natural Sustainability Vol 3 No 1 (2023): Juli 2023
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v3i1.133

Abstract

Dengue fever is an arbovirus disease caused by dengue virus infection through the bite of the Aedes mosquito, Aedes aegypti. Signs or symptoms of dengue usually resemble ordinary viral infections, but can become more severe and cause other symptoms that can paralyze the activities of the patient who suffers from it. The initial symptoms of someone who is infected with the dengue virus will experience a fever within 4–6 days after being infected. Therefore, early diagnosis is needed whether a person is infected or not with dengue fever. Because if someone is late getting treatment by medical personnel, then this can lead to death. Prevention can be done by making the right predictions. Dengue fever disease prediction research is needed to assist medical personnel in making a diagnosis. To get a good level of accuracy, research collected data and used the Radial Basis Function (RBF) approach method. The results of the RBF prediction evaluation obtained are that the RBF model gets 100% accuracy, 100% sensitivity, 100% specificity, and 100% AUC value.
Co-Authors Irwansyah , Joni Nestelrody, Milson Purnajaya , Akhmad Rezki Steffany Tesvara, Eva Widiantoro, Suryo