Articles | Sciaria - Science Aria

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...

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Muhamad Faishol Hakim, Alamsyah Alamsyah

Development of Digital Forensic Framework for Anti-Forensic and Profiling Using Open Source Intelligence in Cyber Crime Investigation

Forensics

Abstract. Cybercrime is a crime that increases every year. The development of cyber crime occurs by utilizing mobile devices such as s...

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The submitted work, "Development of Digital Forensic Framework for Anti-Forensic and Profiling Using Open Source Intelligence in Cyber Crime Investiga...

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Syauqie Muhammad Marier, Fadmi Rina, Amanah Wismarta, Umi Inayatul Hidayah, Muhammad Mufti Ardani

Application Design for the Deaf Users of Trans Jogja Based on Android

Informatics

Abstract This study proposes the design and development of an Android application tailored specifically for the deaf users of the Tran...

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This study presents a highly relevant and commendable initiative addressing a critical accessibility gap for deaf users of the Trans Jogja public tran...

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Irfan Fajar Muttaqin, Riza Arifudin

Fruit Freshness Detection Using Android-Based Transfer Learning MobileNetV2

Informatics

Abstract. Fruit is an important part of the source of food nutrition in humans. Fruit freshness is one of the most important factors i...

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This paper presents an Android-based system for detecting fruit freshness, specifically for apples, bananas, and oranges, utilizing the MobileNetV2 ar...

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Dela Rista Damayanti, Aji Purwinarko

Application of C4.5 Algorithm Using Synthetic Minority Oversampling Technique (SMOTE) and Particle Swarm Optimization (PSO) for Diabetes Prediction

Biomedical

Abstract. Diabetes is the fourth or fifth leading cause of death in most developed countries and an epidemic in many developing countr...

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This paper addresses the critical issue of early diabetes prediction, a significant global health concern, by proposing an innovative hybrid machine l...

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Grace Yudha Satriawan, Budi Prasetiyo

Hyperparameter Tuning of Long Short-Term Memory Model for Clickbait Classification in News Headlines

Informatics

Abstract. The information available on the internet nowadays is diverse and moves very quickly. Information is becoming easier to obta...

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The submitted manuscript, "Hyperparameter Tuning of Long Short-Term Memory Model for Clickbait Classification in News Headlines," addresses a highly p...

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Meidika Bagus Saputro, Alamsyah Alamsyah

Comparison of Naive Bayes Classifier and K-Nearest Neighbor Algorithms with Information Gain and Adaptive Boosting for Sentiment Analysis of Spotify App Reviews

Informatics

Abstract. At this time, the development of technology are increase rapidly. One of the issue that appear with advance technology is da...

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This paper presents a comparative study of Naive Bayes Classifier and K-Nearest Neighbor algorithms for sentiment analysis of Spotify app reviews, enh...

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Nuril Asyrofiyyah, Endang Sugiharti

Hyperparameter Optimization Using Hyperband in Convolutional Neural Network for Image Classification of Indonesian Snacks

Informatics

Abstract. Indonesia is known for its traditional food both domestically and abroad. Several cakes are included in favorite traditional...

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This paper presents a study on the image classification of Indonesian snacks using Convolutional Neural Networks (CNNs), with a particular emphasis on...

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The paper presents a focused study on optimizing Convolutional Neural Network (CNN) performance for image classification of eye diseases, a highly rel...