APLIKASI DIAGNOSIS PENYAKIT PADA TUMBUHAN TOMAT BERBASIS WEBSITE
Keywords:
Tomato, extreme proggraming
Abstract
Tomato fruit as a seasonal crop that is very popular in Indonesia, often faces obstacles in its production due to disease attacks that are often not identified by farmers, which ultimately has an impact on decreasing crop yields for farmers.
In this study, researchers apply the if-then function in which it determines the type of disease based on data and facts from an expert. This research resulted in an application of diagnosing tomato plant diseases using the method of developing an extreme proggraming system, with the aim that this application can help farmers to diagnose the early stages of the type of disease based on the symptoms experienced.
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References
[1] A. M. Mbagho, M. O. Meo, and G. Rinduh Iriane, “Sistem Pakar Diagnosa Hama Penyakit Tanaman Tomat Menggunakan Metode Forward Chaining,” J. InFact Sains dan Komput., vol. 7, no. 06, pp. 25–30, 2023.
[2] R. halilinar MFG el mirzaq, “Sistem Pakar Diagnosa Penyakit Tanaman Tomat Menggunakan Metode Certainty Factor,” Semin. Semin. Nas. Inov. Teknol., vol. 1, no. 1, pp. 20–27, 2021, doi: 10.37148/bios.v1i1.5.
[3] Sutarman, Dasar-Dasar Ilmu Penyakit Tanaman. Sidoarjo: UMSIDA PRESS, 2017
[4] et al. Fazrin, Qubaila Ega, “Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code,” Build. Informatics, Technol. Sci., vol. 3, no. 3, pp. 164–170, 2021, doi:
[2] R. halilinar MFG el mirzaq, “Sistem Pakar Diagnosa Penyakit Tanaman Tomat Menggunakan Metode Certainty Factor,” Semin. Semin. Nas. Inov. Teknol., vol. 1, no. 1, pp. 20–27, 2021, doi: 10.37148/bios.v1i1.5.
[3] Sutarman, Dasar-Dasar Ilmu Penyakit Tanaman. Sidoarjo: UMSIDA PRESS, 2017
[4] et al. Fazrin, Qubaila Ega, “Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code,” Build. Informatics, Technol. Sci., vol. 3, no. 3, pp. 164–170, 2021, doi:
Published
2023-10-30
How to Cite
[1]
M. Niawati, F. Ardhy, T. Andika, and P. Bintoro, “APLIKASI DIAGNOSIS PENYAKIT PADA TUMBUHAN TOMAT BERBASIS WEBSITE”, Jurnal Informasi dan Komputer, vol. 11, no. 02, pp. 282-286, Oct. 2023.
