scholarly journals Implementasi Speech Recognition Pada Aplikasi E-Prescribing Menggunakan Algoritme Convolutional Neural Network

2021 ◽  
Vol 5 (2) ◽  
pp. 460
Author(s):  
Nur Azis ◽  
Herwanto Herwanto ◽  
Fathurrahman Ramadhani
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Speech Recognition ◽  
Convolutional Neural Network ◽  
Open Source ◽  
Basic Method ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method

The process of manually prescribing drugs by doctors can cause several problems, including doctors not knowing what drugs are available and it takes time to find out what drugs are available in the pharmacy. Speech recognition is now widely used in various ways, which can help facilitate work. The application of speech recognition can be done in the e-prescribing application with the neural network method using the Convolutional Neural Network (CNN) algorithm, which is the basic method of deep learning. This study aims to facilitate physicians in filling out drug data in e-prescribing applications using speech recognition. The data used in this study were obtained from the open source dataset provided by Google and collected independent datasets. From the results of experiments that have been carried out, the accuracy achieved with 40 epochs and 40 direct impressions with different words is 90%. Where words are successfully recognized 36 words out of 40 words

scholarly journals Implementation of Machine Learning Using the Convolution Neural Network Method for Aglaonema Interest Classification

2021 ◽  
Vol 5 (1) ◽  
pp. 21-30
Author(s):  
Rachmat Rasyid ◽  
Abdul Ibrahim
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Ornamental Plants ◽  
Convolution Neural Network ◽  
Neural Network Method ◽  
Study Results ◽  
Network Method ◽  
The Many

One of the wealth of the Indonesian nation is the many types of ornamental plants. Ornamental plants, for example, the Aglaonema flower, which is much favored by hobbyists of ornamental plants, from homemakers, is a problem to distinguish between types of aglaonema ornamental plants with other ornamental plants. So the authors try to research with the latest technology using a deep learning convolutional neural network method. It is for calcifying aglaonema interest. This research is based on having fascinating leaves and colors. With the study results using the CNN method, the products of aglaonema flowers of Adelia, Legacy, Widuri, RedKochin, Tiara with moderate accuracy value are 56%. In contrast, the aglaonema type Sumatra, RedRuby, has the most accuracy a high of 61%.

Onions classification automation using deep learning with convolutional neural network method

2021 ◽  
Author(s):  
Rinandha Puspadhani ◽  
Tuti Purwaningsih ◽  
Ayundyah Kesumawati ◽  
Arum Handini P. ◽  
R. B. Fajriya Hakim
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Neural Network Method ◽  
Network Method

Methods for evaluation the manufacturability of a vehicle

2020 ◽  
pp. 152-160
Keyword(s):  
Neural Network ◽  
Initial Data ◽  
Comparative Data ◽  
Training Algorithm ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method ◽  
Calculation Results ◽  
Production And Operation

Methods for evaluation the manufacturability of a vehicle in the field of production and operation based on an energy indicator, expert estimates and usage of a neural network are stated. By using the neural network method the manufacturability of a car in a complex and for individual units is considered. The preparation of the initial data at usage a neural network for predicting the manufacturability of a vehicle is shown; the training algorithm and the architecture for calculating the manufacturability of the main units are given. According to the calculation results, comparative data on the manufacturability vehicles of various brands are given.

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