Article Per Year (5 Year)
p-Index From 2021 - 2026
2.495
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Techno.Com: Jurnal Teknologi Informasi Jurnal Pseudocode Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science WIDYA LAKSANA INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Andalasian International Journal of Applied Science, Engineering, and Technology
Putu Yudia Pratiwi
Sistem Informasi, Universitas Pendidikan Ganesha
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
UI/UX Design for Mobile-based Sports Instructor Search Application “Befind” using Design Thinking Cahyadi, Kadek Wawan; Indradewi, I Gusti Ayu Agung Diatri; Pratiwi, Putu Yudia
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2986

Abstract

BeFind is a website-based application that facilitates the public and sports instructors to be able to interact and transact with each other. However, the website has deficiencies such as incomplete features and inflexible use, so it is necessary to design a mobile-based application to optimize the features. The purpose of this research is to produce UI and UX model designs that apply the Design Thinking method and to find out the results of usability testing. Design Thinking is a product design process resulting from problem-solving efforts that arise from potential product users. Empathy stage, conduct interviews to get problems. The define stage is carried out by creating a user persona from the results of the interview. The ideate stage is carried out by brainstorming to compile user flow. The prototype stage is made in the form of a mockup design and a prototype design is prepared. The test phase was carried out to test the design with task scenarios on 4 usability aspects and 1 aspect using the System Usability Scale (SUS) questionnaire. In the final test for service seekers and service providers respondents obtained 97% and 96% learnability results, efficiency 0.033689182 goals/sec and 0.033689182 goals/sec, 96% and 95% memoryability, 0.0306 and 0.0800 errors, and satisfaction with SUS obtained 94 results with the best imaginable predicate. In efficiency there is a decrease in yield caused by a bad signal factor. The resulting UI and UX can become the foundation for development of the "BeFind" mobile application based on the prototype design that has been designed in this study.
Front End Design Of Design Asset Sales Information System With Human Centered Design (HCD) Approach Pratiwi, Putu Yudia; Kertiyasa, Made Medhi Premana; Indradewi, I Gusti Ayu Agung Diatri
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 3 (2025): November 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i3.195

Abstract

As digital technology advances, online competition intensifies, yet many SMEs lack reliable, user-friendly systems. SME development often skews toward back-end optimization, while user-centered front ends remain underexplored. This study addresses that gap by designing and evaluating the front end of CV Bello Design’s digital design-asset sales platform and distilling UI/UX decisions transferable to similar SMEs. Using a Human-Centered Design (HCD), we mapped problems with the owner, staff, and past buyers, translated insights into personas and user flows, and iterated prototypes for customer and admin roles. Usability was assessed through user testing measuring effectiveness and satisfaction. In addition, a Heuristic Evaluation was conducted by experts to identify usability issues and opportunities for improvement. Test results show customer effectiveness of 93.75% and admin effectiveness of 95%. Relative efficiency reached 0,02948 goals/second for customers and 0,00939 goals/second for admins. Overall, users reported positive satisfaction. Heuristic findings highlighted needs for a login form, clearer transaction details and history, consistent currency symbols, richer product detail views, clear required-field cues, and an FAQ. Implemented fixes clarified transaction pages, standardized currency symbols, added required-field indicators, and provided an FAQ. Overall, the HCD-based interface measurably improves task completion and offers reusable design patterns for SME, web-based asset-sales platforms.
PERANCANGAN PROTOTIPE APLIKASI GABUS (GANESHA BUS) GUNA MENDUKUNG MOBILITAS PENUMPANG BUS DI UNIVERSITAS PENDIDIKAN GANESHA Putra, Gusti Putu Yastika; Pratiwi, Putu Yudia
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 1 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/9rx1t277

Abstract

Perkembangan teknologi informasi mendorong penerapan sistem digital dalam mendukung layanan transportasi, termasuk transportasi internal perguruan tinggi. Universitas Pendidikan Ganesha memiliki layanan bus kampus untuk menunjang mobilitas mahasiswa antar lokasi kampus, namun masih menghadapi permasalahan keterbatasan informasi terkait jadwal dan posisi bus. Penelitian ini bertujuan untuk merancang prototipe aplikasi GABUS (Ganesha Bus) sebagai sistem informasi transportasi kampus yang informatif dan mudah diakses. Metode yang digunakan adalah metode prototyping, yang memungkinkan keterlibatan pengguna secara langsung dalam proses perancangan sistem. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi literatur. Hasil penelitian berupa prototipe aplikasi GABUS yang dirancang menggunakan Figma dan dilengkapi fitur utama seperti informasi jadwal bus, pelacakan lokasi bus secara real-time, notifikasi, serta verifikasi penumpang melalui pemindaian QR Code. Prototipe ini diharapkan dapat menjadi solusi awal dalam meningkatkan efisiensi, kenyamanan, dan kualitas layanan transportasi kampus di Universitas Pendidikan Ganesha.
Klasifikasi Severity Level Diabetic Macular Edema Berbasis ResNet-50 Maysanjaya, I Made Dendi; Pratiwi, Putu Yudia; Indradewi, I Gusti Ayu Agung Diatri
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.9-13

Abstract

Diabetes is one of the most common diseases people suffer from today, and it can lead to complications such as blindness, heart disease, and kidney failure. The condition of blindness caused by this disease is known as diabetic retinopathy (DR). An ophthalmologist will use a fundus camera to examine the retina, looking for several clinical features, such as microaneurysms (MA), hemorrhages (HM), cotton-wool spots (CWS), and exudates. Based on these clinical symptoms, clinicians then determined the patient's level of diabetic macular edema (DME) severity. Although several studies have applied CNN-based architectures for diabetic retinopathy detection, limited attention has been given to the impact of dataset imbalance handling on DME severity classification, particularly using ResNet-50. This study highlights the significant impact of extensive data augmentation on classification performance in imbalanced DME datasets. Evaluate performance using the accuracy, precision, and recall metrics. We used the IDRiD dataset, which consists of 516 images split into a training set of 413 and a test set of 103. IDRiD divides the dataset into three classes, namely normal, moderate DME, and severe DME. In the preprocessing stage, we enhanced contrast using CLAHE and resized the images to 224x224 pixels. To address the imbalance, we applied 11 data augmentation methods. We experimented by comparing the performance of two models: one with and one without dataset augmentation. Based on the test results, the best performance was obtained with the model that included dataset augmentation, achieving an accuracy of 0.5961, a precision of 0.63, and a recall of 0.61, while the baseline model (without dataset augmentation) gained 0.4553, 0.36, and 0.34 for the accuracy, precision, and recall, respectively.
Co-Authors Bawatanaya, Anak Agung Gede Wisnu Cahyadi, Kadek Wawan Dewi, Ni Putu Bimantari I Gede Mahendra Darmawiguna I Gede Sudirtha I Gusti Ayu Agung Diatri Indradewi I Ketut Resika Arthana I Made Ardwi Pradnyana I Made Edy Listartha I Made Gede Sunarya I Md. Dendi Maysanjaya Kertiyasa, Made Medhi Premana Kusuma Kusumadewi, Ni Made Ayu Mita Mahendra, Komang Muhammad Ridwan Putra, Dewa Made Julijati Putra, Gusti Putu Yastika Rudiartha, I Gede Wahyu Suchahyani, Ni Putu Ely Supriatmaja, Gede Agus Utama, Kadek Dwi Dwi Wahyuni, Ni Komang Arista Tri Walhidayah, Irfan Widi Atmaja, I Gede Bagastia Widyasari, Ni Putu Anisa Marta Yasa, I Gede Agus Sukariana