Maknun, Nur Evina (2024) PENDEKATAN METODE DOUBLE DIAMOND UNTUK MENINGKATKAN PENGALAMAN PENGGUNA PADA ANTARMUKA APLIKASI PENYAKIT TANAMAN SAYURAN. Undergraduate thesis, Universitas Muhammadiyah Malang.
PENDAHULUAN.pdf
Download (1MB) | Preview
BAB I.pdf
Restricted to Registered users only
Download (400kB) | Request a copy
BAB II.pdf
Restricted to Registered users only
Download (533kB) | Request a copy
BAB III.pdf
Restricted to Registered users only
Download (788kB) | Request a copy
BAB IV.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
BAB V.pdf
Restricted to Registered users only
Download (455kB) | Request a copy
Abstract
In the context of global population growth, meeting food needs is increasingly important. However, the presence of plant diseases causes a decrease in crop yields, economic losses, and even a food crisis. Previous research succeeded in creating technology in the form of a plant disease detection application, but did not utilize methods that were oriented towards User Experience (UX). There is research that has shown success in designing the rice disease detection application interface using the Design Sprint method, but the results obtained have not been optimal. In this research, we will focus on improving user experience using the Double Diamond method which is able to explore problems broadly (divergent), followed by taking focused action (convergent). In order to demonstrate success, testing was carried out on the application prototype using the System Usability Scale (SUS) method to test usability and the User Experience Questionnaire (UEQ) to test user experience. The average SUS test result is 90.75, which is Grade A and is rated "Excellent". Meanwhile, the average UEQ test results are in the "Excellent" category on the Attractiveness, Stimulation, Dependability, Efficiency and Novelty scale, and the "Good" category on the Perspicuity scale. Thus, the application prototype succeeded in meeting user needs and providing a satisfactory user experience.
Item Type: | Thesis (Undergraduate) |
---|---|
Student ID: | 202010370311224 |
Keywords: | Plant Disease Detection, Double Diamond, SUS, UEQ |
Subjects: | S Agriculture > S Agriculture (General) S Agriculture > SB Plant culture T Technology > T Technology (General) |
Divisions: | Faculty of Engineering > Department of Informatics (55201) |
Depositing User: | 202010370311224 nurevina12 |
Date Deposited: | 23 Apr 2024 01:24 |
Last Modified: | 23 Apr 2024 01:24 |
URI: | https://eprints.umm.ac.id/id/eprint/5234 |