Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus
The purpose of pattern recognition is do the process of classifying an object into one particular class based on the pattern it has, so it can be used to recognize patterns of intestinal nematode worm types. One of the methods used in pattern recognition is by utilizing the artificial neural network...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ikatan Ahli Informatika Indonesia
2020-02-01
|
| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/1662 |
| _version_ | 1797329184163364864 |
|---|---|
| author | Erni Rouza Luth Fimawahib |
| author_facet | Erni Rouza Luth Fimawahib |
| author_sort | Erni Rouza |
| collection | DOAJ |
| description | The purpose of pattern recognition is do the process of classifying an object into one particular class based on the pattern it has, so it can be used to recognize patterns of intestinal nematode worm types. One of the methods used in pattern recognition is by utilizing the artificial neural network method, the artificial neural network is able to represent a complex Input-Output relationship. For that the algorithm used is the perceptron algorithm. Perceptron is one method of Artificial Neural Networks. In the introduction of types of intestinal nematode worms, a computer must be trained in advance using training data and test data, this study discusses how a computer can recognize a pattern of types of intestinal nematode worms using the perceptron method. Based on the results of testing trials with input in the form of worm image scan results, based on the results of the perceptron method testing is able to recognize the pattern recognition of the types of intestinal nematode worms and be able to analyze with the right results of 100% for pinworms patterns, hookworm patterns, and 40- 50% for roundworms, by comparing the output value and the target value entered first. |
| first_indexed | 2024-03-08T07:01:10Z |
| format | Article |
| id | doaj.art-cf4704031ffb40678271fd54e2c0e1ea |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T07:01:10Z |
| publishDate | 2020-02-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-cf4704031ffb40678271fd54e2c0e1ea2024-02-03T05:46:54ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602020-02-014118018610.29207/resti.v4i1.16621662Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda UsusErni Rouza0Luth Fimawahib1Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Pasir PengaraianUniversitas Pasir PengaraianThe purpose of pattern recognition is do the process of classifying an object into one particular class based on the pattern it has, so it can be used to recognize patterns of intestinal nematode worm types. One of the methods used in pattern recognition is by utilizing the artificial neural network method, the artificial neural network is able to represent a complex Input-Output relationship. For that the algorithm used is the perceptron algorithm. Perceptron is one method of Artificial Neural Networks. In the introduction of types of intestinal nematode worms, a computer must be trained in advance using training data and test data, this study discusses how a computer can recognize a pattern of types of intestinal nematode worms using the perceptron method. Based on the results of testing trials with input in the form of worm image scan results, based on the results of the perceptron method testing is able to recognize the pattern recognition of the types of intestinal nematode worms and be able to analyze with the right results of 100% for pinworms patterns, hookworm patterns, and 40- 50% for roundworms, by comparing the output value and the target value entered first.http://jurnal.iaii.or.id/index.php/RESTI/article/view/1662worms, artificial neural network, intestinal nematodes, pattern recognition, perceptron |
| spellingShingle | Erni Rouza Luth Fimawahib Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) worms, artificial neural network, intestinal nematodes, pattern recognition, perceptron |
| title | Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus |
| title_full | Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus |
| title_fullStr | Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus |
| title_full_unstemmed | Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus |
| title_short | Implementasi Metode Perceptron Untuk Pengenalan Pola Jenis-Jenis Cacing Nematoda Usus |
| title_sort | implementasi metode perceptron untuk pengenalan pola jenis jenis cacing nematoda usus |
| topic | worms, artificial neural network, intestinal nematodes, pattern recognition, perceptron |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/1662 |
| work_keys_str_mv | AT ernirouza implementasimetodeperceptronuntukpengenalanpolajenisjeniscacingnematodausus AT luthfimawahib implementasimetodeperceptronuntukpengenalanpolajenisjeniscacingnematodausus |