Articles | Sciaria - Science Aria

Este estudo fornece uma análise pormenorizada do estado da arte da realidade virtual como um meio significativo na estética. Pretende explorar a reali...

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This study, "Realidade Virtual Desvelada," presents an ambitious and timely exploration into the realm of virtual reality as a significant medium with...

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Achmat Sodikkun, Kholiq Budiman

Improving Pantun Generator Performance with Fine Tuning Generative Pre-Trained Transformers

Informatics

Purpose: The study aims to address the challenges in generating high-quality pantun, an important element of Indonesian cultural heritage....

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This study presents a compelling approach to enhancing the generation of Indonesian pantun, a culturally significant poetic form, by leveraging state-...

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Syuja Zhafran Rakha Krishandhie, Aji Purwinarko

Random Forest Algorithm Optimization using K-Nearest Neighborand SMOTE on Diabetes Disease

Informatics

Abstract. Diabetes is a chronic disease that can cause long-term damage, dysfunction and failure of various organs in the body. Diabetes oc...

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This paper presents an investigation into optimizing the Random Forest (RF) algorithm for diabetes prediction by integrating the K-Nearest Neighbor (K...

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Abdillah Azmi, Alamsyah Alamsyah

Textual Entailment for Non-Disclosure Agreement Contract Using ALBERT Method

Law

Purpose: NDA (Non-Disclosure Agreement) is one type of contract letter. An NDA binds two or more parties who all agree that certain informa...

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This paper tackles the significant real-world problem of understanding Non-Disclosure Agreement (NDA) contracts, a task that is vital for businesses b...

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Bondan Eka Nugraha, Zaenal Abidin

QR-Code Based Visual Servoing and Target Recognition to Improve Payload Release Accuracy in Air Delivery Missions using Fully Autonomous Quad-Copter UAV

Robotics

Abstract. Unmanned Aerial Vehicles (UAVs) are increasingly utilized for package delivery due to their efficiency and automation capabilitie...

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This paper presents a timely and relevant solution to the pervasive "last-mile delivery problem" in autonomous UAV package delivery. It accurately ide...

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Rima Ayu Cahyani, Aji Purwinarko

Neural Network Optimization Using Hybrid Adaptive Mutation Particle Swarm Optimization and Levenberg-Marquardt in Cases of Cardiovascular Disease

Biomedical

Abstract. Cardiovascular disease is a condition generally characterized by the narrowing or blockage of blood vessels, which can lead...

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This paper presents a method for optimizing neural network performance in the critical area of cardiovascular disease (CVD) prediction, a leading glob...

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Muhammad Fikri, Zaenal Abidin

Analysis Of The Use Of Nazief-Adriani Stemming And Porter Stemming In Covid-19 Twitter Sentiment Analysis With Term Frequency-Inverse Document Frequency Weighting Based On K-Nearest Neighbor Algorithm

Informatics

Abstract. This system was developed to determine the accuracy of sentiment analysis on Twitter regarding the COVID-19 issue using the Nazie...

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This paper presents an analysis of Nazief-Adriani and Porter stemming algorithms' impact on COVID-19 Twitter sentiment analysis for Indonesian languag...

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Novanka Agnes Sekartaji, Riza Arifudin

Implementation of Raita Algorithm in Manado-Indonesia Translation Application with Text Suggestion Using Levenshtein Distance Algorithm

Informatics

Abstract. Manado City is one of the multidimensional and multicultural cities, possessing assets that are considered highly potential...

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This paper addresses a highly relevant and practical need for communication facilitation in multicultural tourism destinations, specifically Manado Ci...

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Deonisius Germandy Cahaya Putra, Anggyi Trisnawan Putra

Optimizing Random Forest for Predicting Thoracic Surgery Success in Lung Cancer Using Recursive Feature Elimination and GridSearchCV

Biomedical

Abstract. Lung cancer is one of the deadliest forms of cancer, claiming numerous lives annually. Thoracic surgery is a strategy to man...

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This paper addresses the critical and clinically relevant problem of predicting thoracic surgery success in lung cancer patients, a procedure fraught...

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Angga Riski Dwi Saputra, Budi Prasetiyo

Sentiment Analysis on Twitter Social Media Regarding Covid-19 Vaccination with Naive Bayes Classifier (NBC) and Bidirectional Encoder Representations from Transformers (BERT)

Informatics

Abstract. The Covid-19 vaccine is an important tool to stop the Covid-19 pandemic, however, there are pros and cons from the public re...

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This paper presents a timely and relevant study on public sentiment regarding Covid-19 vaccination, utilizing Twitter as the data source. The research...