Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

Dimas Satria, Poningsih Poningsih, Widodo Saputra

Abstract


The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

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References


Anastasia Meyliana, Kusrini, and E. T. Luthfi, “Sistem Pakar Pada Konsultasi Jenis Senam Dengan Metode Forward Chaining,” J. Inf. Politek. Indonusa Surakarta, vol. 1, no. 3, 2016.

S. Azhar, H. L. Sari, and L. N. Zulita, “Sistem Pakar Penyakit Ginjal Pada Manusia Menggunakan Metode Forward Chaining,” J. Media Infotama, vol. 10, no. 1, pp. 16–26, 2014.

D. Rosadi and A. Hamid, “SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN PADI MENGGUNAKAN METODE FORWARD CHAINING,” J. Comput. Bisnis, vol. 8, no. 1, pp. 43–48, 2014.

M. Burhannudin and N. Hidayat, “Pemodelan Sistem Pakar Diagnosis Penyakit Tanaman Apel Manalagi Dengan Metode Backward Chaining Menggunakan Certainty Factor,” J. Pengemb. Teknol. Inf. dan iImu Komput., vol. 1, no. 5, pp. 399–404, 2017.

W. Supartini and Hindarto, “Sistem Pakar Berbasis Web Dengan Metode Forward Chaining Dalam Mendiagnosis Dini Penyakit Tuberkulosis di JawaTimur,” vol. 1, no. 3, pp. 147–154, 2016.




DOI: http://dx.doi.org/10.30645/senaris.v1i0.50

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