Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Moch. Cholil Mahfud
Balai Pengkajian Teknologi Pertanian (BPTP), Badan Litbang Pertanian
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Optimasi Komposisi Pupuk Tanaman Jagung Menggunakan Algoritme Genetika Arik Khusnul Khotimah; Nurul Hidayat; Moch. Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.589 KB)

Abstract

At this time, produce of corn can not be fill the needs in this country. This caused productivity of corn decreased in a few years. The way to solve that problem is increase productivity of corn. Some of the way to increase productivity of corn is balance fertilizer. For fertilization, the main problem of farmers is the high fertilizer price mainly type N, P, and K fertilizer. Therefore, it need some data processing for measuring the composition of fertilizer with price of fertilizer for the best result. The result of data processing can be used for farmer to measure the composition of fertilizer which fit with the best price recommendation. This research used genetic algorithm. This algorithm used to optimize composition of fertilizer. The solution of this algorithm use representation chromosome real code, crossover process use one cut point, mutation process use reciprocal exchange mutation, and selection process use binary tournament selection. Based on testing, the optimal result is on size of population as much 9, 12 generation, crossover rate composition and mutation 0,7 and 0,3, 0,4 and 0,6, 0,1 and 0,9, 0 and 1 with highest fitness is 0,8403.
Sistem Pakar Identifikasi Penyakit Tanaman Kacang Tanah Menggunakan Metode Fuzzy Mamdani Berbasis Android Arifandi Wahyu Widianto; Nurul Hidayat; Moch. Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1250.23 KB)

Abstract

Peanut (Arachis hypogaea L.) is one of important plant commodities after corn and soybean crops. In addition, peanut production in not sufficient needs and often experience crop failure. One of the causes of it is the disease in the peanut itself. To overcome the problem of disease in peanuts done by making disease identification system, thus facilitating the control. The method used is fuzzy mamdani logic and forward chaining, fuzzy logic of Mamdani to determine the value and result of disease diagnosis of the phenomenon, while forward chaining is used for weighting value. After the implementation and testing, obtained the accuracy between experts with the system of 90.00%. From these results can be concluded that the results of the system and experts are aligned and have a positive accuracy.
Co-Authors Arifandi Wahyu Widianto Arik Khusnul Khotimah Nurul Hidayat