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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Main Authors: Khomarudin Fahuzan, Uke Ralmugiz
Format: Article
Language:Indonesian
Published: Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung 2018-10-01
Series:Numerical: Jurnal Matematika dan Pendidikan Matematika
Online Access:http://journal.iaimnumetrolampung.ac.id/index.php/numerical/article/view/232
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spelling 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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