DISEASE DETECTION EXPERT SYSTEM IN WATERMELON PLANTS USING CERTAINTY FACTOR METHOD BASED ON MOBILE

  • Juhartini Juhartini (1*) Universitas Teknologi Mataram
  • Dwinita Arwidiyarti (2) Universitas Teknologi Mataram
  • Ahmad Subki Subki (3) Universitas Teknologi Mataram

    • (*) Corresponding Author
DOI: https://doi.org/10.33480/pilar.v18i2.3326

Keywords: Expert System, Watermelon Plant Disease, Certainty Factor, Mobile.

Abstract

Watermelon is one of the fruit commodities currently being developed in West Nusa Tenggara by making Central Lombok Regency as its production center. The problems that are often faced by farmers in watermelon farming, apart from pests, watermelon plants are also often affected by diseases that cause the plants to wilt and then dry, white spots on the flesh, the growth of leaves and small fruit so that it has an impact on decreasing productivity caused by lack of knowledge farmers in recognizing and dealing with diseases in watermelon plants so that they are often mishandled. This research was conducted with the aim of producing an expert system that can be used to detect diseases in watermelon plants and provide solutions for handling them so that watermelon farmers can make prevention and treatment efforts quickly before the disease is transmitted to many other watermelon plants. This expert system was built with the Mobile-based Certainty Factor Method with the Android operating system so that it can be downloaded in the Playstore by watermelon farmers or anyone who needs it so that it is expected to help farmers detect diseases in watermelon plants and provide appropriate handling steps based on related theories.

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References

Elsharif, A. A., & Samy S, A.-N. (2010). An Expert System For Diagnosing Sugarcane Diseases. International Journal for Academic Development, 3(3), 19–27.

Firdaus, S., Dahlan, H. ., & Silawibawa, P. (2021). Karakterisasi Lahan Penanaman Semangka di Kecamatan Kopang Kabupaten Lombok Tengah. Universitas Mataram.

Handayani, M., & Taufik. (2017). Sistem Pakar Diagnosa Penyakit Tanaman Semangka Menggunakan Metode Dempster Shafer Berbasis Web. Progresif, 13(2), 1727–1734.

Kosasi, S. (2014). Sistem Pakar Diagnosa Hama dan Penyakit Tanaman Semangka Menggunakan Metode Certainty Factor. Seminar Nasional Pengaplikasian Telematika SINAPTIKA, 180–184. Jakarta.

Pertanian, D. (2021). Profil DInas Pertanian Kabupaten LOmbok Tengah. Praya: PPID Lombok Tengah.

Ramadhan, P. S., & S.Pane, U. F. (2018). Mengenal Metode Sistem Pakar. Ponorogo: Uwais Inspirasi Indonesia.

S., R. A., & Shalahudin, M. (2018). Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek (revisi). Bandung: Informatika Bandung.

Suyanto. (2021). Artificial Intelligence (3rd ed.). Bandung: Informatika.

Wiedy Mariana, A. (2019). Sistem Pakar Diagnosis Penyakit Tanaman Semangka Menggunakan Metode Certainty Factor. Jurnal Mahasiswa Teknik Informatika (JATI), 3(1), 24–30.

Wulandari, T., Sari, S. P. G. Y. K., Novita Sari, D., & Isnandar, S. (2018). Perancangan Sistem Pakar Deteksi Pertumbuhan Tanaman Semangka Berbasis Website Dengan Certainty Factor. Technology Acceptance Model, 9(2), 134–141.

Yunus, M., Apsiswanto, U., & Saprudin, Us. (2019). Penerapan Metode Certainty Factor Untuk Mendiagnosa Penyakit Pada Tanamah Semangka. International Research On Big-Data and Computer Technology, 3, 1–6.

Published
2022-09-13
How to Cite
Juhartini, J., Arwidiyarti, D., & Subki, A. S. (2022). DISEASE DETECTION EXPERT SYSTEM IN WATERMELON PLANTS USING CERTAINTY FACTOR METHOD BASED ON MOBILE. Jurnal Pilar Nusa Mandiri, 18(2), 153-160. https://doi.org/10.33480/pilar.v18i2.3326
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Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for September 2022
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Copyright (c) 2022 Juhartini Juhartini, Dwinita Arwidiyarti, Ahmad Subki Subki

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