Informatics Journals | Jurnal Online Page 35

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...

Review:

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...

Review:

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...

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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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Risma Moulidya Syafei, Devi Ajeng Efrilianda

Machine Learning Model Using Extreme Gradient Boosting (XGBoost) Feature Importance and Light Gradient Boosting Machine (LightGBM) to Improve Accurate Prediction of Bankruptcy

Informatics

Abstract. Humans have limitations in processing and analyzing large amounts of data in a short time, including in terms of analyzing b...

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The paper presents a timely and relevant study addressing the critical need for efficient and accurate bankruptcy prediction, a task often challenging...

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Renita Arianti Hapsari, Aji Purwinarko

Implementation of Convolutional Neural Network Algorithm Using Vgg-16 Architecture for Image Classification in Facial Images

Informatics

Abstract: Face Recognition has now become a technology capable of recognizing facial patterns, facial image recognition is also used i...

Review:

This paper presents an investigation into the implementation of a Convolutional Neural Network (CNN) algorithm using the VGG-16 architecture for image...