This study presents an Explainable IndoBERT with Contrast-Aware Attention framework for Aspect-Based Sentiment Analysis (ABSA) on Indonesian public se...
This study introduces an Explainable IndoBERT with Contrast-Aware Attention framework for Aspect-Based Sentiment Analysis (ABSA) tailored for Indonesi...
The rapid growth of the beauty industry has generated a large volume of consumer reviews, necessitating an automated processing system to understand p...
Tujuan penelitian ini untuk menelaah dan menggabungkan berbagai pendekatan, temuan, dan desain penelitian kuantitatif guna membentuk pemahaman menyelu...
This paper, "Sintesis metodologi penelitian kuantitatif dalam kajian informasi: tren, inovasi, dan arah pengembangan di era transformasi digital," pre...
Sistem Informasi (SI) telah menjadi komponen integral dalam berbagai organisasi dan bisnis modern. Perkembangan teknologi informasi telah m...
The paper, "Perancangan Sistem Informasi Pengolahan Dan Pelayanan Pelanggan Di PT.PLN (Persero) ULP Sumba Barat," presents a pertinent and timely ende...
Teknologi informasi berkembang dengan cepat dan semakin kompleks dari waktu ke waktu, dan bisnis serta lembaga pendidikan secara intrinsik...
Revolusi Industri 5.0 menandai transisi menuju otomatisasi dalam berbagai proses, di mana teknologi internet tidak hanya menghubungkan manu...
Penelitian ini membahas sistem pengenalan bentuk bendera negara menggunakan pendekatan pengolahan citra berbasis OpenCV Permasalahan yang d...
The rapid growth of smart home technology has led to the integration of intelligent control systems that can enhance comfort, efficiency, a...
This paper addresses a highly relevant and timely topic concerning the development of intelligent control systems for smart homes. The abstract effect...
This research discusses the implementation of a vehicle counting detection system on roadways utilizing the YOLO (You Only Look Once) algorithm, integ...
Augmentation is creating new samples from an original dataset by applying small random transformations to the original dataset but retaining its label...
This paper investigates the efficacy of various data augmentation techniques for improving Convolutional Neural Network (CNN) performance in classifyi...
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