Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Rofy Firmansyah Rachmandany
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengembangan Aplikasi Autoplay dengan Konsep Context-Aware menggunakan Spotify API berbasis Android Rofy Firmansyah Rachmandany; Agi Putra Kharisma; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.857 KB)

Abstract

Smartphone are the one of device that well-needed by people. Smartphone can be used for many things and have supporting sensors. It makes smartphone become highly potential device. That potential is utilized by an application called Spotify. Spotify is an aplication for streaming music, podcasts, and videos. To maximize the use of Spotify, an autoplay application developed in this study. This application has a context-aware concept that uses activity recognition to trigger Spotify. This design of this application uses the Object-Oriented (OO) method. This application is implemented by Java programming language and created by Android Studio IDE. This application testing uses Validation, Compatibility, and Usability method. In Validation Testing, all functions on this application can run normally. In Compatibility Testing performed on five devices with different Android version, all functions on this application can run normally. In Usability Testing, this application uses questionnaire with SUS (System Usability Scale) method. Based on the results from conducted research, the results of Usability Testing involved 10 (ten) respondents were 74.5%. Under the SUS method, the value is included as “Good” category and can be accepted by the users.
Co-Authors Agi Putra Kharisma Issa Arwani