Articles | Sciaria - Science Aria

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...

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Salsabila Rahadatul Aisy, Budi Prasetiyo

Sentiment Analysist of the TPKS Law on Twitter Using InSet Lexicon with Multinomial Naïve Bayes and Support Vector Machine Based on Soft Voting

Informatics

Abstract. The Indonesian Sexual Violence Law (TPKS Law) is a law that regulates forms of sexual violence. The TPKS Law reaped pros and...

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This paper presents a sentiment analysis of the Indonesian Sexual Violence Law (TPKS Law) using Twitter data, a highly relevant and socially impactful...

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Resta Adityatama, Anggyi Trisnawan Putra

Image classification of Human Face Shapes Using Convolutional Neural Network Xception Architecture with Transfer Learning

Informatics

Abstract. The development of information technology in facial recognition is influenced by a faster and more accurate authentication s...

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The manuscript, "Image classification of Human Face Shapes Using Convolutional Neural Network Xception Architecture with Transfer Learning," addresses...

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Dany Pradana, Endang Sugiharti

Implementation Data Mining with Naive Bayes Classifier Method and Laplace Smoothing to Predict Students Learning Results

Education

Abstract. The application of information technology in the field of education produces big data. It retains information that can be tr...

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This paper addresses a highly relevant topic within educational data mining: the application of predictive analytics to student learning outcomes. The...

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Fathan Arsyadani, Aji Purwinarko

Implementation of Synthetic Minority Oversampling Technique and Two-phase Mutation Grey Wolf Optimization on Early Diagnosis of Diabetes using K-Nearest Neighbors

Biomedical

Abstract. Diabetes is a disease attacking the endocrine system characterized by high blood sugar levels. International Diabetes Federa...

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The paper addresses the critically important and timely issue of early diabetes diagnosis, a disease with rapidly increasing global prevalence. Given...

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Lisa Ariyanti, Alamsyah Alamsyah

C4.5 Algorithm Optimization and Support Vector Machine by Applying Particle Swarm Optimization for Chronic Kidney Disease Diagnosis

Biomedical

Abstract. Kidneys are one of the organs of the body that have a very important function in life. The main function of the kidneys is to exc...

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This paper addresses the significant clinical challenge of chronic kidney disease (CKD) diagnosis using data mining techniques, a highly relevant and...

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David Leandro Wibisono, Zaenal Abidin

Prediction of Student Graduation Predicts using Hybrid 2D Convolutional Neural Network and Synthetic Minority Over-Sampling Technique

Education

Abstract. With the rapid growth of technology, educational institutions are constantly looking for ways to improve their services and...

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This paper presents a timely contribution to the field of educational data mining by addressing the crucial challenge of predicting student graduation...

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This paper presents a timely and highly relevant solution to a critical societal need: enhancing earthquake disaster mitigation education. The authors...