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Anselmus B. Muda, Hikmah, Andriana Deku
PENGARUH GADGED TERHADAP HASIL BELAJAR SISWA KELAS XI SMK BINA KARYA LARANTUKA
Education

Sekolah Menengah Kejuruan (SMK) Bina Karya Larantuka merupakan salah satu sekolah kejuruan yang terletak di kelurahan Postoh, kecamatan Larantuka kabu...

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Etnike Marta Bili, Jakobis J. Messakh, Milson M. Selan
EVALUASI SISTEM DRAINASE DI KAWASAN PASAR LAMA KOTA WAIKABUBAK KABUPATEN SUMBA BARAT
Civil

Keberadaan drainase di suatu pemukiman dapat mempunyai fungsi sebagai penampung air hujan yang mengalir untuk menghindari terjadinya genangan air. Saa...

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This study addresses a pertinent local issue of recurrent flooding by evaluating the drainage system in the Old Market Area of Waikabubak City, West S...

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Jepri Banjarnahor, Reclesia Br Harianja, Syafridatul maulidah, Nenda Sartika Manalu
Hybrid Deep Learning Model for Coffee Leaf Disease Detection Using CNN DeiT
Agriculture

Coffee production plays a crucial role in the agricultural economy; however, its productivity is significantly affected by plant diseases that are dif...

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This study tackles a crucial problem in agricultural economics: the early and accurate detection of coffee leaf diseases, which significantly impact p...

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Mhd Adi Setiawan Aritonang, Joni Eka Candra, Muhammad Nazwan
INTEGRATED PERFORMANCE AND IOT-BASED RELIABILITY ASSESSMENT OF OFF-GRID PV SYSTEMS
Energy

Island regions often face unreliable electricity supply due to limited grid infrastructure, resulting in high dependence on diesel generators with sig...

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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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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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