Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani
This research aims to establish a control system on blender by using fuzzy control system with mamdani method. In this study, researchers used input in the form of hardness level and volume of fruit to be blend, while the output is blend time (0 to 180 seconds) with assumption of constant blender ve...
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Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung
2018-10-01
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Series: | Numerical: Jurnal Matematika dan Pendidikan Matematika |
Online Access: | http://journal.iaimnumetrolampung.ac.id/index.php/numerical/article/view/232 |
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doaj-7778d5555dc34784baf75f1ffaec3e6c2020-11-24T21:46:43ZindInstitut Agama Islam Ma'arif NU (IAIMNU) Metro LampungNumerical: Jurnal Matematika dan Pendidikan Matematika2580-35732580-24372018-10-0111512410.25217/numerical.v2i2.232232Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode MamdaniKhomarudin Fahuzan0Uke RalmugizUniversitas Negeri YogyakartaThis research aims to establish a control system on blender by using fuzzy control system with mamdani method. In this study, researchers used input in the form of hardness level and volume of fruit to be blend, while the output is blend time (0 to 180 seconds) with assumption of constant blender velocity). Researchers used fuzzy inference control system with Mamdani method with some stages: fuzzification, inference, rule base, and defuzzification. Fuzzification changes the hardness of the fruit and the volume into a value. Inference created fuzzy output using pre-made rules. Defuzzification counted the time it takes to blend into output. Based on the results of the research, the results obtained for the sample of fruit with a level of hardness of 40%, and volume 4 (400 ml), in obtaining the minimum time required to smooth the fruit about 79 seconds. Thus the fuzzy control system can be used as an innovation to make the control system in blender. This system not only applies to blenders only, but also can be applied to other machines using fuzzy control system.http://journal.iaimnumetrolampung.ac.id/index.php/numerical/article/view/232 |
collection |
DOAJ |
language |
Indonesian |
format |
Article |
sources |
DOAJ |
author |
Khomarudin Fahuzan Uke Ralmugiz |
spellingShingle |
Khomarudin Fahuzan Uke Ralmugiz Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani Numerical: Jurnal Matematika dan Pendidikan Matematika |
author_facet |
Khomarudin Fahuzan Uke Ralmugiz |
author_sort |
Khomarudin Fahuzan |
title |
Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani |
title_short |
Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani |
title_full |
Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani |
title_fullStr |
Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani |
title_full_unstemmed |
Sistem Cerdas untuk Inovasi Blender Control System Menggunakan Fuzzy Control System dengan Metode Mamdani |
title_sort |
sistem cerdas untuk inovasi blender control system menggunakan fuzzy control system dengan metode mamdani |
publisher |
Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung |
series |
Numerical: Jurnal Matematika dan Pendidikan Matematika |
issn |
2580-3573 2580-2437 |
publishDate |
2018-10-01 |
description |
This research aims to establish a control system on blender by using fuzzy control system with mamdani method. In this study, researchers used input in the form of hardness level and volume of fruit to be blend, while the output is blend time (0 to 180 seconds) with assumption of constant blender velocity). Researchers used fuzzy inference control system with Mamdani method with some stages: fuzzification, inference, rule base, and defuzzification. Fuzzification changes the hardness of the fruit and the volume into a value. Inference created fuzzy output using pre-made rules. Defuzzification counted the time it takes to blend into output. Based on the results of the research, the results obtained for the sample of fruit with a level of hardness of 40%, and volume 4 (400 ml), in obtaining the minimum time required to smooth the fruit about 79 seconds. Thus the fuzzy control system can be used as an innovation to make the control system in blender. This system not only applies to blenders only, but also can be applied to other machines using fuzzy control system. |
url |
http://journal.iaimnumetrolampung.ac.id/index.php/numerical/article/view/232 |
work_keys_str_mv |
AT khomarudinfahuzan sistemcerdasuntukinovasiblendercontrolsystemmenggunakanfuzzycontrolsystemdenganmetodemamdani AT ukeralmugiz sistemcerdasuntukinovasiblendercontrolsystemmenggunakanfuzzycontrolsystemdenganmetodemamdani |
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