Yurni Oktarina, Tresna Dewi, Dini Septiyani AR

Model Deep Learning Hybrid CNN-AE untuk Klasifikasi Presisi Warna Buah Melon

Informatics

Melon fruit color classification is a critical step in assessing fruit ripeness and quality. This study proposes a hybrid deep learning mod...

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Bagus Setya, Arip Kristiyanto

Implementation of Scratch Training to Improve Computational Thinking-Based Algorithm Skills of Students of SMA Negeri 1 Warunggunung

Informatics

The rapid development of digital technology requires students to possess 21st-century skills such as critical thinking, creativity, collabo...

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Putu Ayu Febyanti, I Putu Agus Eka Darma Udayana, Aniek Suryanti Kusuma

An End-to-End Balinese Lontar OCR Framework Using Bayesian-Optimized Multiscale Retinex and MobileNetV3

Informatics

The preservation of Balinese lontar manuscripts has become increasingly important due to their cultural, historical, and religious significance, while...

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This study presents a timely and highly relevant end-to-end Optical Character Recognition (OCR) framework for the digital preservation of degraded Bal...

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Hendri Hendri, Miftah Farid Adiwisastra, Yani Sri Mulyani

Comparison of Chronos and Conventional Models: Predicting Machine Downtime using Time Series

Informatics

This study analyzes the comparison between a pretrained transformer model (Chronos) and conventional models in predicting industrial machine downtime...

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This study presents a timely and relevant comparison between a state-of-the-art transformer model, Chronos, and conventional machine learning approach...

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Annisa Diyan Novitasari, Yufis Azhar

CLASSIFICATION OF COFFE FRUIT DRYING USING VGG16

Informatics

The drying process is a crucial stage in coffee post-harvest handling that directly affects the final product quality, especially in the specialty cof...

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Muhammad Bayu Wijaya Putra, Rinto Priambodo

Graph-Based Hybrid GNN-Transformer for Imbalanced Credit Card Fraud Detection

Informatics

Credit card fraud detection faces two major challenges: severe class imbalance and the limited ability of conventional feature-based models to capture...

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This study introduces a Graph-based Hybrid GNN-Transformer architecture to tackle the dual challenges of severe class imbalance and the inadequacy of...

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Seno Hardijanto Purnomo, Agung Triayudi

Application of Sentence-BERT Embeddings for Semantic Deduplication of Industrial Material Records

Informatics

Industrial material master data in Enterprise Resource Planning (ERP) and Enterprise Asset Management (EAM) systems accumulates duplicate records that...

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Azisya Luthfi Bintang, Ida Nurhaida

Semantic Embedding and Profile-Based Ranking for Automated Reviewer Recommendation

Informatics

Manual reviewer assignment in peer review is difficult to scale because submission volumes grow faster than editors can inspect reviewer expertise, an...

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Ades Tikaningsih, Imam Tahyudin, Berlilana

Two-Stage Framework Using IndoBERT for Sentiment Analysis of Tokopedia Reviews under Extreme Class Imbalance

Informatics

The rapid growth of the Indonesian e-commerce industry has generated a large volume of customer reviews for sentiment analysis, but the data distribut...

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This study addresses a pervasive and challenging issue in real-world sentiment analysis: extreme class imbalance, specifically within Indonesian e-com...

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Rizki Ripai, Fajar Mahardika, Fazar Sidik, Nurul Badriah, Angga Maulana Purba

Deep Learning-Based Classification of Cikadu Batik Motifs Using ResNet50 and MobileNetV2

Informatics

Batik motif recognition is essential for cultural heritage preservation and the digitization of traditional Indonesian textile knowledge. This study p...

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