Browse Items (67 total)
- Collection: Vol. 18, No. 3 2020
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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Smart agriculture management system using internet of things
In the world of digital era, an advance development with internet of things (IoT) were initiated, where devices communicate with each other and the process are automated and controlled with the help of internet. An IoT in an agriculture framework…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Design of optimal search engine using text summarization through artificial intelligence techniques
Natural language processing is the trending topic in the latest research areas, which allows the developers to create the human-computer interactions to come into existence. The natural language processing is an integration of artificial…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification of pneumonia from X-ray images using siamese convolutional network
Pneumonia is one of the highest global causes of deaths especially for children under 5 years old. This happened mainly because of the difficulties in identifying the cause of pneumonia. As a result, the treatment given may not be suitable for each…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Effects of noises on near infrared sensor for blood glucose level measurement
This paper proposed the method of measuring glucose level in solution using near infrared light (NIR) and photodiode sensor. We studied noises that occurred on the output signal of NIR sensor in three different room
conditions in order to know the…
conditions in order to know the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Predicting student performance in higher education using multi-regression models
Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of…
TELKOMNIKA Telecommunication, Computing, Electronics and Contro
l A modified symmetric local binary pattern for image features extraction
The process of identifying images and patterns is one of the most important processes of digital image processing, which is used in many applications such as fingerprint recognition, face recognition and pattern recognition. Due to the large size of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Performance analysis of image transmission with various channel conditions/modulation techniques
This paper investigates the impact of different modulation techniques for digital communication systems that employ quadrature phase shift keying (QPSK) and quadrature amplitude modulation (16-QAM and 64-QAM) to transmit images over AWGN and Rayleigh…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
OFDM synchronization system using wavelet transform for symbol rate detection
In radio communications, using wavelet signal analysis to recover
the symbol rate timing clock of orthogonal frequency-division multiplexing (OFDM) is a new approach that can tolerate signal distortion from intersymbol interference (ISI) and…
the symbol rate timing clock of orthogonal frequency-division multiplexing (OFDM) is a new approach that can tolerate signal distortion from intersymbol interference (ISI) and…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Tractable computation in outage performance analysis of relay selection NOMA
In recent years, using full-duplex (FD) transmission model provides
enhanced bandwidth efficiency and improved performance for non-orthogonal multiple access (NOMA) system. However, lack of papers
have investigated FD relay together with relay…
enhanced bandwidth efficiency and improved performance for non-orthogonal multiple access (NOMA) system. However, lack of papers
have investigated FD relay together with relay…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Convolutional neural network for maize leaf disease image classification
This article discusses the maize leaf disease image classification.
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…