Article Per Year (5 Year)
p-Index From 2020 - 2025
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This Author published in this journals
All Journal Applied Technology and Computing Science Journal Journal of Education Technology and Information System
Ardhini Warih Utami
Jurusan Teknik, Mesin Fakultas Teknik, Universitas Negeri Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Measurement of User Satisfaction for SIBISA Application at TK ABA 1 Buduran Sidoarjo with The EUCS method Suyatno, Dwi Fatrianto; Ardhini Warih Utami; Rahadian Bisma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 6 No 2 (2023): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v6i2.5120

Abstract

The SIBISA (Sistem Informasi Billing Siswa) application is utilized by parents at ABA1 Kindergarten in Buduran. Developed in 2022 by lecturers from the Informatics Engineering department, this application is designed to help schools manage financial records, particularly those related to tuition fees and other incidental expenses. The End User Computing Satisfaction (EUCS) method is one approach used to evaluate user satisfaction with information systems, including the SIBISA application. This method assesses various factors that influence user satisfaction, such as application performance, ease of use, and reliability. Notably, the SIBISA application is integrated with WhatsApp, facilitating easier communication between parents and the school. After nearly a year of use, our group conducted a user satisfaction survey using the EUCS method to gauge the application's effectiveness. The results indicate that overall user satisfaction with the SIBISA application is at the "Quite Satisfied" level, meaning users generally find the application satisfactory. The analysis confirms that all five hypotheses—accuracy, content, ease of use, format, and timeliness—positively influence user satisfaction with the SIBISA application.
Design of an Android Application for Leaf Disease Detection in Plants Muhammad Nizam Setiawan; Ardhini Warih Utami
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

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Abstract

Agriculture plays a strategic role in Indonesia's economy, with approximately 29,342,202 individual agricultural enterprises recorded in 2023, according to Statistics Indonesia (BPS). Golokan Village, located in Sidayu District, Gresik Regency, is one of the agrarian areas where 23.22% of the population works as farmers, and it has a total agricultural land area of 385 hectares. However, between 2019 and 2023, there was a significant decline in the production of three main commodities: corn decreased from 302.5tons to 275.6tons, tomatoes from 810tons to 585 tons, and cassava from 1,000tons to 832tons. One of the contributing factors is the difficulty in early detection of plant diseases. To address this challenge, this study designed and developed an Android application called AgroAI utilizing deep learning technology, specifically a Convolutional Neural Network (CNN) model based on the MobileNet architecture optimized with TensorFlow Lite for mobile devices. The development was carried out using the Scrum methodology in two sprints. The first sprint included needs analysis, dataset collection, interface design, and model training. The second sprint implemented the core features such as leaf disease detection via camera or gallery, classification results with recommended solutions, analysis history management, educational articles, and user authentication via Firebase. Black box testing confirmed that all features functioned as intended, while model validation achieved an accuracy of 94.74%. This application is expected to enhance farmers' efficiency in crop management and support the sustainability of both local and national agricultural sectors.
Co-Authors Muhammad Nizam Setiawan Rahadian Bisma Suyatno, Dwi Fatrianto