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

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Bengkel Sat-Set: Solusi Digital untuk Membantu Dalam Melakukan Reservasi Perbaikan Kendaraan via Aplikasi Android Herman; Fariwati; Triyanti, Vivie; Lia Febrianti, Eka
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.v5i1.279

Abstract

This research presents a design of software requirements specifications for Bengkel Sat-Set, an Android-based mobile application designed to simplify the digital ordering and management of vehicle service. This application is designed as a solution to various problems often encountered in conventional repair shop systems, such as long queues, lack of transparency regarding repair status, and limited access to vehicle service history. With this application, users are expected to be able to order services online, monitor vehicle repair status in real-time, and view service history without having to visit the repair shop in person. This system design uses a software engineering approach, with technical specifications using the Kotlin programming language for developing the Android interface and Firebase as the backend service. Firebase was chosen for its ability to provide efficient and secure data storage, user authentication, and real-time data communication. This research focuses on the early stages of development, namely designing the system's functional and non-functional requirements, including user flows and initial architecture. The primary objective of this paper is to provide a conceptual and technical foundation as part of the digital transformation process in the automotive service sector. It is hoped that through the design of this Sat-Set Workshop application, workshop service providers can improve operational efficiency, expand service access, and increase customer satisfaction through the use of adaptive and user-friendly digital technology.
Implementasi Regresi Linear Berganda dalam Prediksi Waktu Tiba Bus Transjakarta Menuju Destinasi Akhir Duandi; Triyanti, Vivie; Tang, Steven
Journal of Digital Ecosystem for Natural Sustainability Vol 4 No 2 (2024): Desember 2024
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v4i2.258

Abstract

Transjakarta, the primary public transportation system in Jakarta, plays a strategic role in meeting the growing mobility needs of urban residents. This study aims to implement multiple linear regression to predict bus arrival times at final destinations using simulated transaction data that includes tap-in and tap-out information, bus routes, travel times, as well as additional variables such as traffic conditions, route distances, and operational hours. The analysis results indicate that the predictive model developed has high accuracy, with traffic conditions and route distances identified as significant factors. The implementation of this model has the potential to assist Transjakarta operators in improving route management efficiency, reducing passenger wait times, and providing more accurate arrival time estimates through supporting applications. This research also lays the foundation for developing data-driven prediction systems for public transportation management.
Co-Authors Duandi Fariwati Febrianti, Eka Lia Herman Tang, Steven