Klasifikasi Kakao Berbasis e-nose  dengan Metode Neuro Fuzzy

Rahman, Ikhsan Nur; Lelono, Danang; Triyana, Kuwat

doi:10.22146/ijeis.25512

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Thanks to a neurodiffuser-based e-nose, "Neuro-fuzzy systems (NFS) are part of the concept of soft computing. They are a synergistic fusion of fuzzy logic and neural networks with the ability to automate adaptation to training data and knowledge interpretability", Rahman was able to classify cocoa quality with an accuracy rate of 95.21% (120). Rottiers conducted a study using an e-nose based on ultra-fast gas chromatography (GC) and principal component analysis to rapidly discriminate between fourteen cocoa liquors of various geographical origins and determine their quality.…”

Section: Cacao / Chocolatementioning

confidence: 99%

What is the “Status questionis” of the e-nose. The future of artificial nose

2021

J B & Bio Engine;

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An artificial nose (e-nose) is a multipotential electronic device, based on various sensors with the ability to recognize different odours, in the same way that the human olfactory sense does. An updated e-nose system will allow us to detect different oncological and/or degenerative diseases of the human being that today are diagnosed late. Other options would include providing specific information on the quality and condition of food, analysing and detecting the degree of environmental pollution, analysing perfumes and their essences, determining the composition and characteristics of certain beverages such as wine, tea, oil, cocoa and other products. The application of new technologies, such as artificial intelligence and nanotechnology, make it easier to distinguish many different odours in less time. In this paper, we have made a current investigation of the different types of e-nose existing today. Aim of the study Currently nanotechnology, artificial intelligence and computer science are tools that have revolutionary possibilities for the construction of a new e-nose device and progress over the current scopes. If we manage to unite the advantages provided by each of these new technologies that we have mentioned, we will be able to build a very useful device applicable in various fields such as health, food and beverage industry, perfumes and environment. Therefore, the objectives we have in this study are the following: To learn where artificial nose technology stands and what has been developed so far. Based on these findings, ask ourselves the following question: Is it possible to achieve an effective functioning or is it an unreachable project? To compile the majority of scientific articles published mainly in the last 10 years with examples of the use that has been made of artificial noses in the measurement of volatile compounds in the different fields mentioned. In the same way to gather the information published in the last years in relation to the usefulness, existence in the market and purposes of equipment that can measure the olfaction in the human being, what we will call the Smell-o-meter or olfactometer for human use. Material and Methods In the first part of this research we will gather most of the information existing so far in the international bibliography, as well as the achievements and utilities obtained to date. Following we will analyse all the new concepts related to e-nose devices that exist on sensors, gas chromatography, nanotechnology application, electronic engineering, materials and techniques as preliminary ideas for the development of the devices.

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Section: Cacao / Chocolatementioning

confidence: 99%

What is the “Status questionis” of the e-nose. The future of artificial nose

2021

J B & Bio Engine;

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“…Volatile Organic Compound issued by the body contained in the respiratory air has a special pattern according to genetic or environmental factors, so it can be used as a biomarker in diagnosing a disease derived from the lungs, such as Chronic Obstructive Pulmonary Disease (COPD) and asthma [5]. E-Nose is one of the instruments to transform the aroma into a sensor response, then the sensor response will be analyzed by utilizing the Artificial Neural Network (JST) method [6].…”

Section: Introductionmentioning

confidence: 99%

Detection of Asthma and Chronic Obstructive Pulmonary Disease (COPD) With an Electronic Nose (E-Nose) Instrumentation System

Sagita¹,

Putra²,

Rahmawati³

et al. 2021

Advances in Social Science, Education and Humanities Research

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An Electronic Nose (E-Nose) device has been designed to detect asthma and Chronic Obstructive Pulmonary Disease (COPD) through breathing air. This tool consists of hardware and software. E-Nose It consists of a gas sensor that can respond quickly to the elements volatile organic compound (VOC) contained in the respiratory air. The method used is the method Principal Component Analysis (PCA) and Artificial Neural Network (ANN) algorithms backpropagation which is the most precise method of visually classifying types of disease. From the test results using the PCA and ANN methods, it is found that E-Nose can distinguish COPD and asthma with a correlation accuracy of 99.5% percentage and degree Mean Squared Error (MSE) of 0.005.

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