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Aulia Kartika Dewi, Raissa Amanda Putri
Sentiment Analysis on the Allocation of the MBG Program Budget Using Support Vector Machine
Informatics

Sentiment analysis is one of the applications of artificial intelligence and machine learning used to automatically identify and classify public opini...

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Putrama Alkhairi, Agus Perdana Windarto, Mesran Mesran, Roznim Roznim
Deep Learning-Based Early Detection Optimization for Rice Leaf Diseases to Support Sustainable Local Agriculture
Agriculture

Rice leaf diseases such as Bacterial Blight and Blast are major threats to rice productivity that directly impact food security and the sustainability...

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Junhai Wang, Setiawansyah Setiawansyah, Very Hendra Saputra
Hybrid Entropy and CRADIS Method Approach in Decision Support System for Selecting the Best Employees
Management

Selecting the right employees is a key factor in improving organizational performance and productivity. However, in many organizations, the employee s...

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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...

Review:

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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