PENGENALAN POLA DALAM MEMBANGUN SMART TECHNOLOGY PADA ERA INDUSTRI 4.0 DENGAN METODE KLASIFIKASI DYNAMIC IMAGE ANALYSIS – FUZZY NEURAL NETWORK SATU TINJAUAN DALAM TELAAH FILSAFAT ILMU KOMPUTER

  • HUMUNTAL RUMAPEA UNIVERSITAS SUMATERA UTARA
Keywords: Pattern Recognition, DIA, Image, Classification, FNN, Smart Technology, Philosophy Of Computer Science

Abstract

Philosophy and science are two interrelated words, both substantially and historically because the birth of science does not
escape the role of philosophy and vice versa, the development of science can strengthen the existence of philosophy.
Computer Science as a science that learns both about computing, hardware (hardware) and software (software). Image
Processing in the Industrial Era 4.0 becomes very important because the technology is continuously evolving which can
provide ease in classifying (Clasification). Dynamic Image Analysis is a dynamically classifying image by using the camera.
The methods used are dynamic image analysis-fuzzy Neural Network (DIA-FNN) with weed detection and DHR-ARtiSt,
according to camera speed level (FH/s) and particle density. The Data image of the result will be divided into 3 features such
as colour Fieatur, Morfhology feature, and Tecture feature. Results of each classsification analyzed through the Fuzzy
Inference System to get conclusions and decisions on analysis in the form of classifications for coffee, the Fuzzy Control
System will soften the motor to place the coffee with the decision that the coffee is very good, good, and not good.

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Published
2020-08-23