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...

Review:

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

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Clara Indriani Putri, Aditia Yudhistira

Perbandingan Naïve Bayes dan Support Vector Machine Berbasis Term Frequency−Inverse Document Frequency pada Analisis Sentimen Ulasan Produk Afiliasi Lintas Platform TikTok dan Shopee

Informatics

The growth of affiliate marketing on digital platforms, particularly TikTok and Shopee, has led to a rapid increase in consumer reviews that can be le...

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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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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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Nora Fitaria, Dedi Darwis

Analisis Kinerja Decision Tree dan Naïve Bayes Pada Klasifikasi Tingkat Kepuasan Masyarakat

Informatics

The Public Satisfaction Survey (SKM) is an official instrument used by the government to evaluate public service performance as stipulated in Regulati...

Review:

This study addresses a pertinent gap in the utilization of Public Satisfaction Survey (SKM) data within government agencies, which traditionally limit...

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Eka Wahyu Utami, Defri Kurniawan

Optimasi Hyperparameter Random Forest untuk Klasifikasi Depresi Mahasiswa Menggunakan GridSearchCV dan RandomizedSearchCV

Informatics

Student mental health is an important issue that requires a data-driven approach to support the classification process of student depression. This stu...

Review:

This study presents a timely and well-structured approach to classifying student depression, a critical issue in contemporary education. The authors e...

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Dipo Paudro Tirto Prakoso, Sugiyanto Sugiyanto

Deep Fake Image Detection Using Vision Transformer with Random Oversampling Technique

Informatics

Recent developments in deep learning have facilitated the generation of visually convincing deepfake images, creating serious concerns for the reliabi...

Review:

This paper presents a timely and relevant contribution to the critical field of deepfake image detection, addressing the growing concerns about the re...

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Reza Ramadhon Aditya, Arry Maulana Syarif

Deteksi Cyberbullying pada Komentar Media Sosial Berbahasa Indonesia Menggunakan Pendekatan Hibrida IndoBERTweet- BiLSTM

Informatics

Cyberbullying on Indonesian-language social media has become a serious issue with significant psychological and social consequences, necessitating the...

Review:

The paper "Deteksi Cyberbullying pada Komentar Media Sosial Berbahasa Indonesia Menggunakan Pendekatan Hibrida IndoBERTweet-BiLSTM" addresses a highly...

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Ahmad Nabilul As'ad, Elkaf Rahmawan Pramudya

Implementasi Deep Learning Berbasis MobileNetV2 untuk Deteksi Real-Time Bacterial Spot dengan Pendekatan Arsitektur Lightweight

Informatics

Bacterial spot caused by Xanthomonas campestris pv. vesicatoria is a critical disease in bell peppers that can reduce productivity...

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Noris Mestika, Aji Supriyanto

Analisis Sentimen Diseminasi Produk Iklim Menggunakan Metode Recurrent Neural Network (RNN) dalam Klasifikasi dan Density-Based Spatial Clustering of Applications with Noise (DBSCAN) untuk Klasterisasi

Informatics

Climate change and extreme weather events have a significant impact on various sectors of life, making the accurate and timely dissemination of climat...

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