Articles | Sciaria - Science Aria

Application of C4.5 Algorithm Using Synthetic Minority Oversampling Technique (SMOTE) and Particle Swarm Optimization (PSO) for Diabetes Prediction

Biomedical

Abstract. Diabetes is the fourth or fifth leading cause of death in most developed countries and an epidemic in many developing countr...

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This paper addresses the critical issue of early diabetes prediction, a significant global health concern, by proposing an innovative hybrid machine l...

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Grace Yudha Satriawan, Budi Prasetiyo

Hyperparameter Tuning of Long Short-Term Memory Model for Clickbait Classification in News Headlines

Informatics

Abstract. The information available on the internet nowadays is diverse and moves very quickly. Information is becoming easier to obta...

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The submitted manuscript, "Hyperparameter Tuning of Long Short-Term Memory Model for Clickbait Classification in News Headlines," addresses a highly p...

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Meidika Bagus Saputro, Alamsyah Alamsyah

Comparison of Naive Bayes Classifier and K-Nearest Neighbor Algorithms with Information Gain and Adaptive Boosting for Sentiment Analysis of Spotify App Reviews

Informatics

Abstract. At this time, the development of technology are increase rapidly. One of the issue that appear with advance technology is da...

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This paper presents a comparative study of Naive Bayes Classifier and K-Nearest Neighbor algorithms for sentiment analysis of Spotify app reviews, enh...

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Nuril Asyrofiyyah, Endang Sugiharti

Hyperparameter Optimization Using Hyperband in Convolutional Neural Network for Image Classification of Indonesian Snacks

Informatics

Abstract. Indonesia is known for its traditional food both domestically and abroad. Several cakes are included in favorite traditional...

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This paper presents a study on the image classification of Indonesian snacks using Convolutional Neural Networks (CNNs), with a particular emphasis on...

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Vivi Wulandari, Anggyi Trisnawan Putra

Optimization of the Convolutional Neural Network Method Using Fine-Tuning for Image Classification of Eye Disease

Biomedical

Abstract. The eye is the most important organ of the human body which functions as the sense of sight. Most people wish they had healthy ey...

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The paper presents a focused study on optimizing Convolutional Neural Network (CNN) performance for image classification of eye diseases, a highly rel...

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Anisa Meidina, Zaenal Abidin

Diagnosis of Heart Disease Using Optimized Naïve Bayes Algorithm with Particle Swarm Optimization and Gain Ratio

Biomedical

Purpose: This study aims to apply feature selection particle swarm optimization (PSO) and gain ratio to the naïve Bayes algorithm and...

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This paper presents a study focused on enhancing the diagnostic accuracy of heart disease using an optimized Naïve Bayes (NB) algorithm. The core of t...

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Ramadhan Ridho Arrohman, Riza Arifudin

Stock Return Prediction Using Voting Regressor Ensemble Learning

Finance

Abstract. The value of return on stock prices is often used in predicting profits in the process of buying and selling shares based on...

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The paper titled "Stock Return Prediction Using Voting Regressor Ensemble Learning" addresses a highly relevant and challenging problem within financi...

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Risma Moulidya Syafei, Devi Ajeng Efrilianda

Machine Learning Model Using Extreme Gradient Boosting (XGBoost) Feature Importance and Light Gradient Boosting Machine (LightGBM) to Improve Accurate Prediction of Bankruptcy

Informatics

Abstract. Humans have limitations in processing and analyzing large amounts of data in a short time, including in terms of analyzing b...

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The paper presents a timely and relevant study addressing the critical need for efficient and accurate bankruptcy prediction, a task often challenging...

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Diah Siti Fatimah Azzahrah, Alamsyah Alamsyah

Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification

Bioinformatics

Purpose: This study aims to compare algorithms to determine the accuracy of the algorithm and determine the speed of the algorithm use...

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The paper, "Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification," presents a study a...

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Renita Arianti Hapsari, Aji Purwinarko

Implementation of Convolutional Neural Network Algorithm Using Vgg-16 Architecture for Image Classification in Facial Images

Informatics

Abstract: Face Recognition has now become a technology capable of recognizing facial patterns, facial image recognition is also used i...

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This paper presents an investigation into the implementation of a Convolutional Neural Network (CNN) algorithm using the VGG-16 architecture for image...