IDENTIFIKASI HAMA DAN PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE RANDOM FOREST DAN FUZZY DECISION TREE

AMINI, MUFLHIKA and Resti, Yulia and Zayanti, Des Alwine (2021) IDENTIFIKASI HAMA DAN PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE RANDOM FOREST DAN FUZZY DECISION TREE. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_44201_08011281722059.pdf] Text
RAMA_44201_08011281722059.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_TURNITIN.pdf] Text
RAMA_44201_08011281722059_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (11MB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_01_front_ref.pdf]
Preview
Text
RAMA_44201_08011281722059_0019077302_0004127001_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (817kB) | Preview
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_02.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (263kB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_03.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (62kB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_04.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (802kB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_05.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (130kB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_06_ref.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_06_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (134kB) | Request a copy
[thumbnail of RAMA_44201_08011281722059_0019077302_0004127001_07_lamp.pdf] Text
RAMA_44201_08011281722059_0019077302_0004127001_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (551kB) | Request a copy

Abstract

The rate of increasing national demand for corn is not matched by the rate of corn production. Pests and diseases are one of the factors that cause corn production to decline. To solve the problem, early identification of pests and diseases of corn crops is required. This study aims to identify pests and diseases in corn crops using digital image processing techniques in the form of RGB colors with machine learning where in the processing will be done classification process with random forest and fuzzy decision tree (FDT) method. The data used amounted to 761 images of diseases and pests of corn crops consisting of 108 locust pests, 298 pests of frugiperda spodoptera, 120 pests of cob borer, 88 leaf rust diseases, 48 bulai diseases, and 98 leaf blight diseases. Random forest is done by combining the trees (ensemble-tree) so that the forest is formed and FDT utilizes fuzzy set theory to describe the level of connectedness of a predictor variable and use the decision tree method for the decision tree formation process. In the classifying process, it is obtained that the red color has a greater effect compared to Green and Blue colors in the selection of the first node. FDT method is better in classifying pests and diseases in corn crops compared to Random Forest method where the best result for FDT method is at 80:20 ratio with accuracy of 90.1271%, sensitivity of 70.3812%, specificity of 94.0762%, and precision of 94.0762%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Jagung, Fuzzy Decision Tree, Random Forest
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA1.T553 Mathematics--Periodicals. Computer science--Periodicals. Computer science.
Q Science > QA Mathematics > QA1-939 Mathematics > QA37.3.1.64 Applied Mathematics
Divisions: 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User: Mrs. Muflhika Amini
Date Deposited: 12 Aug 2021 05:54
Last Modified: 12 Aug 2021 05:54
URI: http://repository.unsri.ac.id/id/eprint/51831

Actions (login required)

View Item View Item