Articles | Sciaria - Science Aria

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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Nyimas Hamidah Purnama Agustriani, Marsudi Wahyu Kisworo, Edi Surya Negara, Usman Ependi

Implementation of CMM Method to Measure Maturity Level of SPBE in Palembang City Government

Development, Policy, Administration

The Palembang City Government faces challenges in synchronizing internal policies with the operational implementation of the Electronic-Based Governme...

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This paper presents a timely and highly relevant assessment of the Electronic-Based Government System (SPBE) maturity within the Palembang City Govern...

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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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Setio Basuki, Amelia Khoidir, Muhammad Ilham Perdana, Muhammad Daffa Nugraha, Masatoshi Tsuchiya

SC-Literature Intelligence: A Retrieval-Augmented Generation Framework for Multi-Category AI Literature Synthesis in Supply Chain

Management

This paper develops SC-Literature Intelligence, a retrieval-augmented generation (RAG) framework for research synthesis of scientific literature on ar...

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This paper introduces "SC-Literature Intelligence," a timely and relevant Retrieval-Augmented Generation (RAG) framework designed to synthesize scient...