Irwan Budiman
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View article: THE INFLUENCE OF TARIQAS IN THE CONTEXT OF RELIGIOUS UNDERSTANDING AND THE STRENGTHENING OF LOCAL CULTURE MOBILITY IN ACEHNESE SOCIETY
THE INFLUENCE OF TARIQAS IN THE CONTEXT OF RELIGIOUS UNDERSTANDING AND THE STRENGTHENING OF LOCAL CULTURE MOBILITY IN ACEHNESE SOCIETY Open
Aceh is part of Indonesia’s archipelagic region and stands as the initial landing place of Islam. Situated on the western coast of Sumatra Island, this region played host to the peaceful introduction of Islam through Arab traders. The Isla…
View article: Performance Comparison of Extreme Learning Machine (ELM) and Hierarchical Extreme Learning Machine (H-ELM) Methods for Heart Failure Classification on Clinical Health Datasets
Performance Comparison of Extreme Learning Machine (ELM) and Hierarchical Extreme Learning Machine (H-ELM) Methods for Heart Failure Classification on Clinical Health Datasets Open
Heart failure is one of the leading causes of death worldwide and requires accurate and timely diagnosis to improve patient outcomes. However, early detection remains a significant challenge due to the complexity of clinical data, high dim…
View article: Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification
Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification Open
Data imbalance is a serious challenge in developing machine learning models for sleep disorder classification. When models are trained on an uneven distribution of classes, classification performance for minority classes such as insomnia a…
View article: Improving nutrient prediction models with polynomial and ratio features and mRMR selection
Improving nutrient prediction models with polynomial and ratio features and mRMR selection Open
Due to limited space and regulations, food labels often lack information on micronutrients, i.e., vitamins and minerals. Accurately predicting missing these micronutrient data is essential yet challenging. This study explores the feasibili…
View article: Prediksi Churn Pelanggan Telekomunikasi dengan Optimalisasi Seleksi Fitur dan Tuning Hyperparameter pada Algoritma Klasifikasi C4.5
Prediksi Churn Pelanggan Telekomunikasi dengan Optimalisasi Seleksi Fitur dan Tuning Hyperparameter pada Algoritma Klasifikasi C4.5 Open
In the telecommunications industry, predicting customer churn is crucial for maintaining business sustainability. High churn rates can negatively impact profitability, necessitating effective retention strategies. This research aims to enh…
View article: Evaluation of User Experience in the Banjarbaru Disdukcapil Public Service Application Using User Experience Questionnaire and System Usability Scale
Evaluation of User Experience in the Banjarbaru Disdukcapil Public Service Application Using User Experience Questionnaire and System Usability Scale Open
Purpose: Dukcapil Banjarbaru is an online-based government agency application used for various public services. According to the complaint report from Disdukcapil Banjarbaru, several users have reported similar problems and difficulties. T…
View article: Implementation of PPCA Imputation, SMOTE-N Class Balancing in Hepatitis Classification Using Naïve Bayes
Implementation of PPCA Imputation, SMOTE-N Class Balancing in Hepatitis Classification Using Naïve Bayes Open
The availability of complete data in research is crucial, especially in the initial stages. The Hepatitis data used in this study encountered issues such as missing data and class imbalance, which hindered its optimal utilization. The meth…
View article: The Effectiveness of Data Imputations on Myocardial Infarction Complication Classification Using Machine Learning Approach with Hyperparameter Tuning
The Effectiveness of Data Imputations on Myocardial Infarction Complication Classification Using Machine Learning Approach with Hyperparameter Tuning Open
Complications from Myocardial Infarction (MI) represent a critical medical emergency caused by the blockage of blood flow to the heart muscle, primarily due to a blood clot in a coronary artery narrowed by atherosclerotic plaque. Diagnosin…
View article: Image Classification of Traditional Indonesian Cakes Using Convolutional Neural Network (CNN)
Image Classification of Traditional Indonesian Cakes Using Convolutional Neural Network (CNN) Open
Indonesia is one of the countries famous for its traditional culinary. Traditional cakes in Indonesia are traditional snacks typical of the archipelago's culture which have a variety of textures, shapes, colors that vary and some are simil…
View article: PENGARUH PERKEMBANGAN TEKNOLOGI, MEDIA SOSIAL, HARGA, DAN LOKASI TERHADAP PENDAPATAN UMKM DI KOTA LANGSA: MENGEKSPLORASI DINAMIKA SUKSES BISNIS DI ERA DIGITAL
PENGARUH PERKEMBANGAN TEKNOLOGI, MEDIA SOSIAL, HARGA, DAN LOKASI TERHADAP PENDAPATAN UMKM DI KOTA LANGSA: MENGEKSPLORASI DINAMIKA SUKSES BISNIS DI ERA DIGITAL Open
This study aims to determine the influence of each variable, namely technological development, social media, price, and location on the income of micro, small, and medium enterprises (MSMEs) in the city of Langsa. The method used is quanti…
View article: Sentiment Analysis of TikTok Shop Closure in Indonesia on Twitter Using Supervised Machine Learning
Sentiment Analysis of TikTok Shop Closure in Indonesia on Twitter Using Supervised Machine Learning Open
TikTok Shop is one of the features in TikTok application which facilitates users to buy and sell products. The integration of TikTok Shop with social media has provided new opportunities to reach customers and increase sales. However, the …
View article: Implementation of C5.0 Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease
Implementation of C5.0 Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease Open
Hepatitis C, a significant global health challenge, affects 71 million people worldwide, with severe complications such as cirrhosis and hepatocellular carcinoma. Despite its prevalence and availability in rapid diagnostic tests (RDTs), th…
View article: Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media
Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media Open
Messages shared on social media platforms like X are automatically categorized into two groups: those who self-report COVID-19 status and those who do not. However, it is essential to note that these messages cannot be a reliable monitorin…
View article: Membrane Filter Replacement Systemfor Portable South Kalimantan Peat WaterTreatment Solar-Powered Using Fuzzy InferenceSystem Takagi-Sugeno-Kang Method
Membrane Filter Replacement Systemfor Portable South Kalimantan Peat WaterTreatment Solar-Powered Using Fuzzy InferenceSystem Takagi-Sugeno-Kang Method Open
Filtration is a procedure for changing raw water into clean water using filtering media.Over time, the quality of the filtration media will decrease, therefore maintenance needs to be carried out.This research develops a decision support s…
View article: Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory Open
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and th…
View article: Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction
Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction Open
The field of information technology requires software, which has significant issues. Quality and reliability improvement needs damage prediction. Tree-based algorithms like Random Forest, Deep Forest, and Decision Tree offer potential in t…
View article: Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction
Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction Open
Early detection for COVID-19 has now been widely developed. One of the methods used is cough audio detection. This research aims to classify cough audio. Audio feature extraction is performed using MFCC to obtain numerical features. Featur…
View article: A Cost-Effective Vital Sign Monitoring System Harnessing Smartwatch for Home Care Patients
A Cost-Effective Vital Sign Monitoring System Harnessing Smartwatch for Home Care Patients Open
Pap smear is a digital image generated from the recording of cervical cancer cell preparation. Images generated are susceptible to errors due to relatively small cell sizes and overlapping cell nuclei. Therefore, an accurate analysis of th…
View article: PERAN KEPUASAN KERJA DALAM MEMEDIASI PENGARUH STRES KERJA TERHADAP KOMITMEN ORGANISASIONAL PADA KARYAWAN
PERAN KEPUASAN KERJA DALAM MEMEDIASI PENGARUH STRES KERJA TERHADAP KOMITMEN ORGANISASIONAL PADA KARYAWAN Open
The purpose of this study was to analyze the effect of job stress on job satisfaction, to analyze the effect of job satisfaction on organizational commitment, to analyze the effect of job stress on organizational commitment to analyze job …
View article: IMPLEMENTATION OF FISH POND PEAT WATER TREATMENT WITH SOLAR POWER BASED FILTRATION AND ABSORPTION METHOD IN IRRIGATION CANAL OF SUNGAI BATANG VILLAGE, SOUTH KALIMANTAN
IMPLEMENTATION OF FISH POND PEAT WATER TREATMENT WITH SOLAR POWER BASED FILTRATION AND ABSORPTION METHOD IN IRRIGATION CANAL OF SUNGAI BATANG VILLAGE, SOUTH KALIMANTAN Open
In the realm of fisheries, particularly in the cultivation of fish in peat ponds, well water or irrigation is the primary water source. However, due to its peat composition, the water used exhibits turbidity and a high density of particles…
View article: Implementation of Particle Swarm Optimization on Sentiment Analysis of Cyberbullying using Random Forest
Implementation of Particle Swarm Optimization on Sentiment Analysis of Cyberbullying using Random Forest Open
Social media has exerted a significant influence on the lives of the majority of individuals in the contemporary era. It not only enables communication among people within specific environments but also facilitates user connectivity in the…
View article: LSTM and Bi-LSTM Models For Identifying Natural Disasters Reports From Social Media
LSTM and Bi-LSTM Models For Identifying Natural Disasters Reports From Social Media Open
Natural disaster events are occurrences that cause significant losses, primarily resulting in environmental and property damage and in the worst cases, even loss of life. In some cases of natural disasters, social media has been utilized a…
View article: Comparison of Industrial Business Grouping Using Fuzzy C-Means and Fuzzy Possibilistic C-Means Methods
Comparison of Industrial Business Grouping Using Fuzzy C-Means and Fuzzy Possibilistic C-Means Methods Open
The industrial business sector plays a role in the development of the economic sector in developing countries such as Indonesia. In this case, many industrial businesses are growing, but the data has not been processed or analyzed to produ…
View article: Gender Classification Based on Electrocardiogram Signals Using Long Short Term Memory and Bidirectional Long Short Term Memory
Gender Classification Based on Electrocardiogram Signals Using Long Short Term Memory and Bidirectional Long Short Term Memory Open
Gender classification by computer is essential for applications in many domains, such as human-computer interaction or biometric system applications. Generally, gender classification by computer can be done by using a face photo, fingerpri…
View article: Classification of Natural Disaster Reports from Social Media using K-Means SMOTE and Multinomial Naïve Bayes
Classification of Natural Disaster Reports from Social Media using K-Means SMOTE and Multinomial Naïve Bayes Open
Disasters can occur anytime and anywhere. Floods and forest fires are two types of disasters that occur in Indonesia. South Kalimantan Province is an area that frequently experiences floods and forest fires. The dataset used for previous r…
View article: A comparison of word embedding-based extraction feature techniques and deep learning models of natural disaster messages classification
A comparison of word embedding-based extraction feature techniques and deep learning models of natural disaster messages classification Open
The research aims to compare the classification performance of natural disaster messages classification from Twitter. The research experiment covers the analysis of three-word embedding-based extraction feature techniques and five differen…
View article: Prediction of Post-Operative Survival Expectancy in Thoracic Lung Cancer Surgery Using Extreme Learning Machine and SMOTE
Prediction of Post-Operative Survival Expectancy in Thoracic Lung Cancer Surgery Using Extreme Learning Machine and SMOTE Open
Lung cancer is the most common cause of cancer death globally. Thoracic surgery is a common treatment for patients with lung cancer. However, there are many risks and postoperative complications leading to death. In this study, we will pre…
View article: Efek Transformasi Wavelet Diskrit Pada Klasifikasi Aritmia Dari Data Elektrokardiogram Menggunakan Machine Learning
Efek Transformasi Wavelet Diskrit Pada Klasifikasi Aritmia Dari Data Elektrokardiogram Menggunakan Machine Learning Open
Arrhythmia is one of the abnormalities of the heart rhythm, and some patients who suffer from arrhythmia do not feel any symptoms. Automating the early detection of arrhythmia is necessary by using an electrocardiogram. Previous research t…
View article: Using Social Media Data to Monitor Natural Disaster: A Multi Dimension Convolutional Neural Network Approach with Word Embedding
Using Social Media Data to Monitor Natural Disaster: A Multi Dimension Convolutional Neural Network Approach with Word Embedding Open
Social media has a significant role in natural disaster management, namely as an early warning and monitoring when natural disasters occur. Artificial intelligence can maximize the use of natural disaster social media messages for natural …