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Improving Classification Performance on Imbalance Medical Data using Generative Adversarial Network
In many real-world applications, the problem of data imbalance is a common challenge that
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
Optimization of 2D-CNN Setting for the Classification of Covid Disease Using Lung CT Scan
RT-PCR is considered the best diagnostic tool. Previous studies have demonstrated the reliability of CNN in classifying classifications, but CNN requires a lot of training data. Meanwhile, at the CT
Scan clinic, patients are limited. Therefore,…
Scan clinic, patients are limited. Therefore,…
Gender Prediction of Indonesian Twitter Users Using Tweet and Profile Features
The increasing use of social media generates huge amounts of data which in turn triggers research into
social media analytics. Social media contents can be analyzed to explore public opinion on an issue or
provide the insights reflecting proxy…
social media analytics. Social media contents can be analyzed to explore public opinion on an issue or
provide the insights reflecting proxy…
Myers-Briggs Type Indicator Personality Model Classification in English Text using Convolutional Neural Network Method
Myers-Briggs Type Indicator (MBTI) is a personality model developed by Katharine Cooks Briggs and Isabel Briggs Myers in 1940. It displays a combination of preferences from four domains. Generally, test takers need to answer about 50 to 70 questions,…
Predicting Analysis of User’s Interest from Web Log Data in e-Commerce using Classification Algorithms
The accelerated development of e-commerce has been a concern for businesspeople. Businesspeople
should be able to gain customer interest in a variety of ways so that their companies can compete with
others. Analyzing click-flow data will help…
should be able to gain customer interest in a variety of ways so that their companies can compete with
others. Analyzing click-flow data will help…
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…