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Gustavo Moreira Calixto, Alan César Belo Angeluci, Elias Cunha Bitencourt
Investigando Modelos de IA: GPT-4, Sabiá-3 e DeepSeek-R1 na Interpretação de Notícias Históricas sobre a Ditadura Militar no Brasil
Informatics

Este estudo analisa como grandes modelos de linguagem (LLMs) — ChatGPT (OpenAI), Sabiá-3 (MaritacaAI) e DeepSeek (China) — interpretam textos históric...

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This study offers a timely and highly relevant investigation into how leading large language models (LLMs) interpret complex historical narratives, sp...

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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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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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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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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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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...

Review:

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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