Pengembangan Sistem Klasifikasi Benih Cabai Merah Besar Bermutu Menggunakan Metode Fuzzy Mamdani

Fardan Rofinsyah, Ravel Alfarisy (2020) Pengembangan Sistem Klasifikasi Benih Cabai Merah Besar Bermutu Menggunakan Metode Fuzzy Mamdani. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

If to determine the quality yield of large red chili seeds, it can be called hybrid and non-hybrid, then this solution is needed to design a system that results in a classification of the quality of large hybrid and non-hybrid red chili seeds in the form of a percentage yield. Tests on research on the development of a large red chili seed quality classification system using the Fuzzy Mamdani method based on 20 test data. Comparison of the quality status of the expert with the status of the program has a fairly good success rate of accuracy by obtaining an accuracy of 85%, namely 17 appropriate test data and 3 test data that do not match the comparison of the two quality status of the expert and the program quality status.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorAgustianto, KhafidurrohmanNIDN0011129102
Uncontrolled Keywords: Seed Quality, Decision Support System, Fuzzy Mamdani.
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Ravel Alfarisy Fardan Rofinsyah
Date Deposited: 05 Oct 2020 07:20
Last Modified: 05 Oct 2020 22:58
URI: https://sipora.polije.ac.id/id/eprint/165

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