Erwin Budi Setiawan
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View article: The Impact of E-WOM, Celebrity Endorser, and Brand Image on Purchase Decisions: A Study of MS Glow Cosmetics in Indonesia
The Impact of E-WOM, Celebrity Endorser, and Brand Image on Purchase Decisions: A Study of MS Glow Cosmetics in Indonesia Open
This study investigates the influence of Electronic Word of Mouth (E-WOM), Celebrity Endorser, and Brand Image on the purchasing decisions of MS Glow cosmetics consumers in Samarinda, Indonesia. While these factors are recognized drivers o…
View article: Sentiment Analysis on Social Media Using Long Short-Term Memory and Word2Vec Feature Expansion Methods with Adam Optimization
Sentiment Analysis on Social Media Using Long Short-Term Memory and Word2Vec Feature Expansion Methods with Adam Optimization Open
Twitter is one of Indonesia's most popular social media, so it has many users. The intensity of Twitter use can be used to carry out sentiment analysis related to topics being widely discussed, especially regarding the 2024 Indonesian pres…
View article: Twitter Social Media-Based Sentiment Analysis Using Bi-LSTM Method With Genetic Algorithms Optimization
Twitter Social Media-Based Sentiment Analysis Using Bi-LSTM Method With Genetic Algorithms Optimization Open
Advances in information technology, particularly social media platforms such as Twitter, can be used to explore public sentiment around the much-discussed 2024 Indonesian Presidential Election. Using sentiment analysis as part of text mini…
View article: Depression Detection using Convolutional Neural Networks and Bidirectional Long Short-Term Memory with BERT variations and FastText Methods
Depression Detection using Convolutional Neural Networks and Bidirectional Long Short-Term Memory with BERT variations and FastText Methods Open
Depression has become a significant public health concern in Indonesia, with many individuals expressing mental distress through social media platforms like Twitter. As mental health issues like depression are increasingly prevalent in the…
View article: Enhancing Cyberbullying Detection with a CNN-GRU Hybrid Model, Word2Vec, and Attention Mechanism
Enhancing Cyberbullying Detection with a CNN-GRU Hybrid Model, Word2Vec, and Attention Mechanism Open
Cyberbullying is an act of violence commonly committed on online platforms such as social media X, often causing psychological effects for victims. Despite prevention efforts, traditional methods for detecting cyberbullying show limited ef…
View article: The Influence of Product Quality and Promotion on Purchase Decisions of Seasoned Flour in Modern Markets
The Influence of Product Quality and Promotion on Purchase Decisions of Seasoned Flour in Modern Markets Open
This study seeks to determine the substantial influence of product quality and advertising on consumer purchasing decisions. The research analyzed users of seasoned flour in the current market, employing data from questionnaires distribute…
View article: Enhancing Cyberbullying Detection on Platform 'X' Using IndoBERT and Hybrid CNN-LSTM Model
Enhancing Cyberbullying Detection on Platform 'X' Using IndoBERT and Hybrid CNN-LSTM Model Open
Cyberbullying on social media platforms has become widespread in society. Cyberbullying can take many forms, including hate speech, trolling, adult content, racism, harassment, or rants. One social media platform that has many cyberbullies…
View article: Depression Detection in Indonesian X Social Media Text using Convolutional Neural Networks and Long Short-Term Memory with TF- IDF and FastText Methods
Depression Detection in Indonesian X Social Media Text using Convolutional Neural Networks and Long Short-Term Memory with TF- IDF and FastText Methods Open
Depression is a growing mental health issue in the modern era, with social media offering a unique opportunity for automated detection through text analysis. However, challenges such as unstructured language, ambiguity, and contextual comp…
View article: THE IMPACT OF WORD EMBEDDING ON CYBERBULLYING DETECTION USING HYBIRD DEEP LEARNING CNN-BILSTM
THE IMPACT OF WORD EMBEDDING ON CYBERBULLYING DETECTION USING HYBIRD DEEP LEARNING CNN-BILSTM Open
Cyberbullying can be perpetrated by anyone, whether children or adults, with the primary aim of belittling or attacking specific individuals. Social media platforms like X (formerly Twitter) often serve as the primary medium for cyberbully…
View article: Analysis and Evaluation of Safety Culture Performance in Drilling Activities at PT XYZ Upper Mile Gas South Sumatera Through Implementation of Occupational Safety Observation (PEKA)
Analysis and Evaluation of Safety Culture Performance in Drilling Activities at PT XYZ Upper Mile Gas South Sumatera Through Implementation of Occupational Safety Observation (PEKA) Open
PT XYZ as one of the drilling companies engaged in the upstream oil and gas industry has developed a PEKA (Occupational Safety Observation) system which is used to monitor the risk of work accidents. This study aims to analyze the performa…
View article: Content Based Filtering on Culinary Tourism Recommendation System Based on Social Media X Using Bi-LSTM
Content Based Filtering on Culinary Tourism Recommendation System Based on Social Media X Using Bi-LSTM Open
Advancing technology, especially on social media platforms like X, created a vibrant space for users to share culinary experiences and recommendations through opinions and reviews. X became critical in presenting reviews and recommending p…
View article: Determining Factors of Brand Loyalty on the Use of Social Media for Marketing with Brand Trust Playing a Mediating Role
Determining Factors of Brand Loyalty on the Use of Social Media for Marketing with Brand Trust Playing a Mediating Role Open
The high level of social media use by Indonesian people has led companies to use it as a means of marketing communication for a brand. The study try to examine the direct and indirect impacts on brand loyalty of the use of social media for…
View article: Analysis of the Alignment of Bauran System Features Based on Outcome-Based Education Rules Using Feature-Oriented Domain Analysis
Analysis of the Alignment of Bauran System Features Based on Outcome-Based Education Rules Using Feature-Oriented Domain Analysis Open
Implementing information systems in higher education curriculum design is a crucial tool for academics, enabling them to design, develop, and evaluate the curriculum more dynamically, responsively, and structurally. However, it is not just…
View article: Hate Comment Detection On Twitter Using Long Short Term Memory (LSTM) With Genetic Algorithm (GA)
Hate Comment Detection On Twitter Using Long Short Term Memory (LSTM) With Genetic Algorithm (GA) Open
In the era of social media like today, one social media that is currently quite popular is Twitter. This study explores the use of the Long Short Term Memory (LSTM) method optimized with the Genetic Algorithm (GA) to detect hate speech in …
View article: CONTENT-BASED FILTERING CULINARY RECOMMENDATION SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORK ON TWITTER (X)
CONTENT-BASED FILTERING CULINARY RECOMMENDATION SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORK ON TWITTER (X) Open
Along with the development of technology, social media has become integral to everyday life, especially for sharing content like culinary reviews. Social media platform X (formerly Twitter) is often used for sharing culinary recommendation…
View article: The HYBRID CONTENT-BASED FILTERING AND CLASSIFICATION RNN WITH PARTICLE SWARM OPTIMIZATION FOR TOURISM RECOMMENDATION SYSTEM
The HYBRID CONTENT-BASED FILTERING AND CLASSIFICATION RNN WITH PARTICLE SWARM OPTIMIZATION FOR TOURISM RECOMMENDATION SYSTEM Open
Economic recovery in the tourism sector after the COVID-19 pandemic is one of the main focuses of the Indonesian government at the moment, especially in Bandung City. This research aims to develop a personalized tourist spot recommendation…
View article: Genetic Algorithm Optimization of Hybrid LSTM-AutoEncoder in Tourism Recommendation System
Genetic Algorithm Optimization of Hybrid LSTM-AutoEncoder in Tourism Recommendation System Open
The tourism industry has rapid growth and has become one of the world's leading economic industries in recent years due to advances in information technology, such as the internet and social media. However, the overwhelming amount of infor…
View article: Optimizing the Learning Rate Hyperparameter for Hybrid BiLSTM-FFNN Model in a Tourism Recommendation System
Optimizing the Learning Rate Hyperparameter for Hybrid BiLSTM-FFNN Model in a Tourism Recommendation System Open
Indonesia, with its abundant natural resources, is rich in captivating tourist attractions. Tourism, a vital economic sector, can be significantly influenced by digitalization through social media. However, the overwhelming amount of infor…
View article: Physicochemical Characteristics of Jelly Candy Cinnamon Powder Koerintji Variation of Red Seaweed Carrageenan Concentration
Physicochemical Characteristics of Jelly Candy Cinnamon Powder Koerintji Variation of Red Seaweed Carrageenan Concentration Open
Jelly candy is a product that has the characteristics of being chewy and varied in texture. Carrageenan, an alternative natural raw material as a gelling agent in jelly candy, is one of the producers of red seaweed carrageenan because it h…
View article: Analysis of Occupational Safety Risk Management in Crane Based Well Services Activities in Budi Field Oil Field
Analysis of Occupational Safety Risk Management in Crane Based Well Services Activities in Budi Field Oil Field Open
Crane Based Well Services (CBWS) is a new technology in oil well maintenance in the oil and gas world. Tately N.V. is one of the marginal oil and gas companies, has implemented several CBWS campaigns in their oil wells. This study examines…
View article: Sentiment Analysis Accuracy for 2024 Indonesian Election Tweets Using CNN-LSTM With Genetic Algorithm Optimization
Sentiment Analysis Accuracy for 2024 Indonesian Election Tweets Using CNN-LSTM With Genetic Algorithm Optimization Open
Background: The 2024 Indonesian Presidential Election is ideal for analyzing public sentiment on Twitter. Data collection began with crawling from the data source to create a dataset, which included 62,955 entries from Twitter, 126,673 ent…
View article: Hybrid Deep Learning with GloVe and Genetic Algorithm for Sentiment Analysis on X: 2024 Election
Hybrid Deep Learning with GloVe and Genetic Algorithm for Sentiment Analysis on X: 2024 Election Open
Purpose: This research analyzes sentiment on the 2024 Indonesian Presidential Election using data from X, employing a hybrid CNN-GRU model optimized with a Genetic Algorithm (GA) to improve accuracy and efficiency. It also explores GloVe f…
View article: Performance of Deep Feed-Forward Neural Network Algorithm Based on Content-Based Filtering Approach
Performance of Deep Feed-Forward Neural Network Algorithm Based on Content-Based Filtering Approach Open
Background: Selecting a restaurant in a diverse city like Bandung can be challenging. This study leverages Twitter data and local restaurant information to develop an advanced recommendation system to improve decision-making. Objective: Th…
View article: Feature Expansion with GloVe and Particle Swarm Optimization for Detecting the Credibility of Information on Social Media X with Long Short-Term Memory (LSTM)
Feature Expansion with GloVe and Particle Swarm Optimization for Detecting the Credibility of Information on Social Media X with Long Short-Term Memory (LSTM) Open
Purpose: This research aims to develop a system for detecting the credibility of information on social media X by classifying tweets as credible or non-credible. Additionally, it seeks to improve the accuracy of classification and predicti…
View article: Content-Based Filtering in Recommendation Systems Culinary Tourism Based on Twitter (X) Using Bidirectional Gated Recurrent Unit (Bi-GRU)
Content-Based Filtering in Recommendation Systems Culinary Tourism Based on Twitter (X) Using Bidirectional Gated Recurrent Unit (Bi-GRU) Open
To address the challenge of information overload in the rapidly expanding culinary sector, a recommendation system using Content-Based Filtering (CBF) and the Bidirectional Gated Recurrent Unit (Bi-GRU) algorithm was developed. This system…
View article: Genetic Algorithm and GloVe for Information Credibility Detection Using Recurrent Neural Networks on Social Media Twitter (X)
Genetic Algorithm and GloVe for Information Credibility Detection Using Recurrent Neural Networks on Social Media Twitter (X) Open
Social media, especially X, has become a key source of information for many individuals, but the level of trust in the information spread on these platforms is a critical issue. To overcome this problem, this research proposed an informati…
View article: Sentiment Analysis on Social Media Using Fasttext Feature Expansion and Recurrent Neural Network (RNN) with Genetic Algorithm Optimization
Sentiment Analysis on Social Media Using Fasttext Feature Expansion and Recurrent Neural Network (RNN) with Genetic Algorithm Optimization Open
Social media is a place to express opinions or feelings, both positive and negative. One of them is to express opinions or feelings about a topic that is currently being discussed. The number of opinions or sentiments related to a topic ca…
View article: Sentiment Analysis on Social Media Using Word2Vec and Gated Recurrent Unit (GRU) with Genetic Algorithm Optimization
Sentiment Analysis on Social Media Using Word2Vec and Gated Recurrent Unit (GRU) with Genetic Algorithm Optimization Open
The evolution of information technology has changed the function of social media from a mere information repository to a platform for expressing opinions and aspirations. One of the most used social media is Twitter. Twitter users can expr…
View article: Content-based Filtering Movie Recommender System Using Semantic Approach with Recurrent Neural Network Classification and SGD
Content-based Filtering Movie Recommender System Using Semantic Approach with Recurrent Neural Network Classification and SGD Open
The application of recommendation systems has been applied in various types of platforms, especially applications for watching movies such as Netflix and Disney+. The recommendation system is purposed to make it easier for users, especiall…
View article: Movie Recommender System on Twitter Using Weighted Hybrid Filtering and GRU
Movie Recommender System on Twitter Using Weighted Hybrid Filtering and GRU Open
The development of the industry in the film sector has experienced rapid growth, marked by the emergence of film streaming platforms such as Netflix and Disney+. With the abundance of available films, users face difficulty in choosing film…