Browse Items (25 total)
- Collection: Vol 7 No 1 (2023)
Sort by:
A Comparative Study of CatBoost and Double Random Forest
for Multi-class Classification
Multi-class classification has its challenge compared to binary classification. The challenges mainly caused by the interactions
between explanatory and responses variable are increasingly complex. Ensemble-based methods such as boosting and random…
between explanatory and responses variable are increasingly complex. Ensemble-based methods such as boosting and random…
Capturing Students’ Dynamic Learning Pattern Based on Activity Logs
Using Hierarchical Clustering
Students can have various characteristics and learning patterns. By understanding the characteristics and learning pattern of
individual students, teachers can provide individualized learning strategies based on students' needs. Students' learning…
individual students, teachers can provide individualized learning strategies based on students' needs. Students' learning…
Character Recognition of Handwriting of Javanese Character Image using
Information Gain Based on the Comparison of Classification Method
ndonesia is a country rich in a variety of regional cultures. Regional airspace needs to be preserved so as not to become
extinct. One of them is the local culture of Central Java Province, namely Javanese Character. In this modern era,…
extinct. One of them is the local culture of Central Java Province, namely Javanese Character. In this modern era,…
Classification of Fruits Based on Shape and Color
using Combined Nearest Mean Classifiers
Fruit classification is an important task in many agriculture industry. The fruit classification system can be used to identify the
types and prices of fruit. Manual classification of fruit is not efficient for large amount of fruits. The…
types and prices of fruit. Manual classification of fruit is not efficient for large amount of fruits. The…
Comparison of Sentiment Analysis Methods Based on Accuracy Value
Case Study: Twitter Mentions of Academic Article
The assessment of academic articles is based on the number of citations, but the number only is not enough. So now there is
Altmetric which can measure the impact of academic articles from the number of citations and using social media, usually…
Altmetric which can measure the impact of academic articles from the number of citations and using social media, usually…
Covid-19 Fake News Detection on Twitter Based on Author Credibility
Using Information Gain and KNN Methods
Twitter is one of the social media that is used as a tool to share various kinds of information about various kinds of things
that are of concern to social media users. One of the information shared is information about COVID-19, which is known…
that are of concern to social media users. One of the information shared is information about COVID-19, which is known…
Credit Scoring Model for Farmers using Random Forest
One of the problems faced by farmers in Indonesia is capital. Based on Indonesian Central Statistics Agency survey results,
the number of farmers who borrow capital from formal institutions such as banks is still small. This is because the process…
the number of farmers who borrow capital from formal institutions such as banks is still small. This is because the process…
Development of Quantum Circuit Architecture on Quantum Perceptron
Algorithm for Classification of Marketing Bank Data
The creation of quantum circuit architecture based on the quantum perceptron algorithm to classify marketing bank data is
proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this…
proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this…
Face Recognition of Indonesia’s Top Government Officials Using Deep
Convolutional Neural Network
Facial recognition is a part of Computer Vision that is used to get facial coordinates from an image. Many algorithms have
been developed to support Facial Detection such as Cascade Face Detection using Haar-Like features and AdaBoost to classify…
been developed to support Facial Detection such as Cascade Face Detection using Haar-Like features and AdaBoost to classify…
Herbal Leaves Classification Based on Leaf Image Using CNN
Architecture Model VGG16
Herbal leaves are a type that is often used by people in the health sector. The problem faced is the lack of knowledge about the
types of herbal leaves and the difficulty of distinguishing the types of herbal leaves for ordinary people who do not…
types of herbal leaves and the difficulty of distinguishing the types of herbal leaves for ordinary people who do not…