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Donald Sihombing
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Sistem Pakar Identifikasi Hama Penyakit Tanaman Sedap Malam Menggunakan Fuzzy Analytical Hierarchy Process (F-AHP) Christian Herlando Indra Jaya; Nurul Hidayat; Donald Sihombing
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Polianthes tuberosa is one type of ornamental plants favored by consumers and has various uses such as sown flowers, cut flowers and essential oils producing materials. As consumer demand continues to increase, many farmers cultivate it. But there are limiting factors of Polianthes tuberosa production that are pests and diseases. The limited knowledge of the community on Polianthes tuberosa pests and diseases makes the lack of understanding about the types of pests and diseases and their symptoms, so they do not know what steps should be taken to handle it. To identify which pests or diseases that attack Polianthes tuberosa quickly, it is necessary to build an expert system. One method that can be used to identify pests and diseases on Polianthes tuberosa is Fuzzy Analytical Hierarchy Process (F-AHP). The identification process is done by inserting the facts of symptoms on Polianthes tuberosa and then calculated by using F-AHP. The output of this system is the identification of pests of diseases that attack Polianthes tuberosa with recommendations of its control solutions. Based on the results of test, the method of F-AHP obtained an accuracy of 93.33%, so it can be concluded this expert system to identify pests of diseases in Polianthes tuberosa using F-AHP is able to work well.
Identifikasi Hama Dan Penyakit Pada Tanaman Sedap Malam Menggunakan Metode K-Nearest Neighbor Ikhlasul Amal Faj'r; Nurul Hidayat; Donald Sihombing
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tuberose (Polianthes Tuberose) is one of the ornamental plants that comes from the family Agavaceae which has many benefits. But in the cultivation found several obstacles, including pests and diseases that are very influential on growth and flower production. To facilitate farmers to identify pests and diseases, then needed a system, one of the methods that can be used is k-nearest neighbor. After the implementation and testing, the results obtained with the highest accuracy of 94%. Thus, it can be concluded that k-nearest neighbor algorithm on pest and plant flower diseases identification system can be applied well so that it is very beneficial for tuberose flower farmers.
Co-Authors Christian Herlando Indra Jaya Ikhlasul Amal Faj'r Nurul Hidayat