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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Performance of electronic nose based on gas sensor-partition column for synthetic flavor classification
Electronic nose (e-nose) has been developed and implemented in a wide
area, included in food industries. This study was conducted to investigate the
performance of an e-nose that utilizes a packed gas chromatography column
and a gas sensor for…
area, included in food industries. This study was conducted to investigate the
performance of an e-nose that utilizes a packed gas chromatography column
and a gas sensor for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of the feature selection algorithm in educational data mining
Student academic accomplishment is the foremost focus of every educational
institution. In developing student achievement in educational institutions, the
researchers finally created a new research area, namely educational data
mining (EDM). How…
institution. In developing student achievement in educational institutions, the
researchers finally created a new research area, namely educational data
mining (EDM). How…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Crime index based on text mining on social media using multi classifier neural-net algorithm
Everyday criminal issues appear on social media, even some crime news is often disturbing to the public but it gives a warning to the public to remain careful and alert to the surrounding environment. However, following large amounts of crime…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine
Cervical cancer is the second most common cancer in women worldwide,
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A maximum entropy classification scheme for phishing detection using parsimonious features
Over the years, electronic mail (e-mail) has been the target of several
malicious attacks. Phishing is one of the most recognizable forms of
manipulation aimed at e-mail users and usually, employs social engineering
to trick innocent users into…
malicious attacks. Phishing is one of the most recognizable forms of
manipulation aimed at e-mail users and usually, employs social engineering
to trick innocent users into…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integrated bio-search approaches with multi-objective algorithms for optimization and classification problem
Optimal selection of features is very difficult and crucial to achieve,
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Transfer learning with multiple pre-trained network for fundus classification
Transfer learning (TL) is a technique of reuse and modify a pre-trained network. It reuses feature extraction layer at a pre-trained network. A target domain in TL obtains the features knowledge from the source domain. TL modified classification…
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.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks
Every organism is known to have different structural and biological system, specifically in human immunity. If the immune system weakens, the body is susceptible to disease especially pneumonia disease. Pneumonia disease is caused by the bacterium…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Prediction schizophrenia using random forest
Schizophrenia is a mental illness with a very bad impact on sufferers, attacking the part of human brain that disables the ability to think clearly. In 2018, Rustam and Rampisela classified Schizophrenia by using Northwestern University Schizophrenia…