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Muhammad Ghozali Sulton, Sugiyanto Sugiyanto
Pemodelan Pola Temporal Action Unit untuk Pengenalan Ekspresi Wajah Berbasis Bidirectional LSTM
Informatics

This study develops a facial expression recognition system based on Facial Action Units (AU) data using a Bidirectional Long Short-Term Memory (BiLSTM...

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This paper addresses a critical challenge in facial expression recognition: the creation of temporally consistent and accurately labeled datasets, par...

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Muhammad Syarief Albani, Dedy Kurniawan, Ken Ditha Tania
Komparasi Model Ensemble dan Algoritma Machine Learning Untuk Memprediksi Penyakit Jantung
Medicine

This study compared the performance of nine machine learning algorithms in predicting heart disease using a dataset dating back to 1988 and consisting...

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This study, titled "Komparasi Model Ensemble dan Algoritma Machine Learning Untuk Memprediksi Penyakit Jantung," presents a comprehensive comparative...

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Rastomi Pamungkas, Permata Permata, Rakhmat Dedi Gunawan, Adhie Thyo Priandika
Hybrid Music Recommendation System Using K-Means Clustering and Neural Collaborative Filtering for Spotify Playlist Personalization
Informatics

Personalizing music recommendations has become a significant challenge on music streaming platforms such as Spotify due to the vast number of availabl...

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This paper addresses the significant challenge of personalizing music recommendations on platforms like Spotify, acknowledging the limitations of trad...

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Wadiyan Wadiyan, Permata Permata, Adhie Thyo Priandika, Rakhmat Dedi Gunawan
Perbandingan Kinerja Model ARIMA dan LSTM dalam Peramalan Harga Crypto Solana (SOL-USD) Berbasis Data Yahoo Finance
Finance

The extreme volatility and non-linear patterns of Solana (SOL) data, driven by its unique consensus mechanism and massive transaction volume, demand a...

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Muhammad Ilham, Aris Rakhmadi
Analisis Ketahanan Model ResNet-50 pada Klasifikasi Bahasa Isyarat Arab terhadap Degradasi Citra Bawah Air
Informatics

Automatic sign language recognition using deep learning, particularly Convolutional Neural Networks (CNNs), has shown significant potential. The ResNe...

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Haidar Nafiis Usmany, Wildanil Ghozi
Optimasi Deteksi Malware Android pada Dataset Drebin Menggunakan Ensemble Learning
Cyber

The increasing number and complexity of Android malware require detection systems that are accurate, efficient, and capable of handling high-dimension...

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This paper presents a timely and relevant investigation into enhancing Android malware detection, a critical area given the escalating threat landscap...

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Intan Dwi Rahma, Mhd Furqan, Budi Triandi
Comparative Analysis of K-NN and Naïve Bayes Algorithms for Early-Stage Chronic Kidney Disease Classification
Biomedical

Chronic Kidney Disease (CKD) is a global health issue characterized by low early detection rates and high diagnostic costs. Artificial intelligence, p...

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This study presents a timely and relevant comparative analysis of K-Nearest Neighbor (K-NN) and Naïve Bayes (NB) algorithms for early-stage Chronic Ki...

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Miko Septa Pratama, Heni Sulistiani
Machine Learning Comparative Analysis of SVR Method with RBF Kernel and Random Forest for Bitcoin Price Prediction
Informatics

This study aims to determine how accurate machine learning predictions are for predicting Bitcoin prices using the SVR With RBF Kernel and Random Fore...

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