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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Azizah Nurul Asri
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Pengembangan Aplikasi Identifikasi Penyakit Tanaman Tembakau Menggunakan IBM Watson Visual Recognition Berbasis Android (Studi Kasus: Balai Penelitian Tanaman Pemanis dan Serat (BALITTAS)) Azizah Nurul Asri; Fajar Pradana; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tobacco plants in Indonesia are still a plantation commodity that is widely cultivated by the people of Indonesia. The obstacles are often found by farmers in the garden due to the increase of disruptive organisms such as viruses. In an effort to maintain the quality of tobacco products, farmers should know as quickly as possible the disease that is infecting crops so that it requires experts to identify the disease. While experts sometimes need time to review directly to the garden. Therefore, farmers and experts need applications that can help in the process of identification of tobacco diseases so as to provide treatment recommendations in order to shorten the time. The application was developed by implementing an Android-based prototyping development model, assisted by ibm Watson Visual Recognition services and implemented in Java language. After the prototype is finished, it is then evaluated using cognitive walkthrough and it is concluded that the functions in the prototype are in accordance with the needs. Then a second iteration is carried out to add consultation features, after which the finished application is tested first by using Whitebox and Blackbox tests that produce 100% valid built as needed. Then performed usability testing with System Usability Scale method to measure user comfort when using the application and obtained SUS score results that fall into acceptable category.
Co-Authors Agus Wahyu Widodo Fajar Pradana