Ramdhani, Rezki (2014) Identifikasi tingkat serangan penyakit busuk daun (Phytophthora infestans (Mont.) de Bary) pada tanaman kentang menggunakan metode fuzzy mamdani berbasis Android. Undergraduate thesis, Universitas Islam Negeri Maulana Malik Ibrahim.
|
Text (Fulltext)
08650005.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
|
Other (Appendix)
08650005.rar - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) |
Abstract
INDONESIA:
Pengendalian terhadap serangan Phytophthora infestans menggunakan zat kimiawi seperti fungisida harus dilakukan secara bijaksana untuk menghindari dampak negatif zat tersebut terhadap lingkungan. Pengendalian dapat dilakukan apabila intensitas serangan telah mencapai ambang kendali. Untuk melakukan identifikasi tingkat serangan P. Infestans maka digunakan metode Fuzzy Mamdani yang terdiri dari empat tahapan, yaitu pembentukan himpunan fuzzy, aplikasi fungsi implikasi dengan metode Minimum, komposisi aturan dengan metode Maximum, dan defuzzifikasi (penegasan). Terdapat perbedaan antara hasil perhitungan intensitas kerusakan P. Infestans menggunakan metode Mamdani dengan perhitungan menggunakan logika tegas yang berpengaruh terhadap hasil identifikasi tingkat serangan. Berdasarkan hasil pengujian yang telah dilakukan maka penggunaan metode fuzzy Mamdani dalam mengidentifikasi tingkat serangan Phytophthora infestans pada tanaman kentang memiliki tingkat keakurasian sebesar 67%.
ENGLISH:
Handling the attack of Phytophthora infestans by using chemical substance such as fungisida must be done wisely to prevent from the negative impacts towards the environment. It can be done when the damage intensity has reached the Treshold Control. Fuzzy Mamdani method can be applied to identify the level of the attacks. The Mamdani-style fuzzy inference process is performed in four steps: fuzzification of the input variables, rule evaluation by Minimum method, aggregation of the rule outputs by Maximum method, and defuzzification. There are some differences between the results of the damage intensity computing by using Mamdani method and the results by using Boolean Logic.The differences affect the indentification results of the attack level. Based on the testing results, the use of Mamdani method has 67% accuracy rate.
Item Type: | Thesis (Undergraduate) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Supervisor: | Suhartono, Suhartono and Nashichuddin, Achmad | |||||||||
Contributors: |
|
|||||||||
Keywords: | Metode Fuzzy Mamdani; Himpunan Fuzzy; Defuzzifikasi; Tingkat Serangan; Fuzzy Mamdani Method; Fuzzification; Defuzzification, Level Attacks | |||||||||
Departement: | Fakultas Sains dan Teknologi > Jurusan Teknik Informatika | |||||||||
Depositing User: | Zulaikha Zulaikha | |||||||||
Date Deposited: | 14 Aug 2017 11:28 | |||||||||
Last Modified: | 14 Aug 2017 11:28 | |||||||||
URI: | http://etheses.uin-malang.ac.id/id/eprint/7834 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |