Browse Items (26 total)
- Collection: VOL 7 NO 6 (2023)
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Comparison of the Accuracy of Drug User Classification Models Using Machine Learning Methods
Caseand s of drug abuse are on the rise, with many users entering the addiction phase, often resulting in overdose and death.
Drugs are chemical compounds that are capable of affecting biological functions, can induce feelings of happiness and…
Drugs are chemical compounds that are capable of affecting biological functions, can induce feelings of happiness and…
Comparison of the RFM Model's Actual Value and Score Value for Clustering
Clustering algorithms and Recency-Frequency-Monetery (RFM) models are widely implemented in various sectors of ecommerce, banking, telecommunications, and other industries to obtain customer segmentation. The RFM model will assess a
line of data…
line of data…
Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns
Palm vein recognition has received much attention due to its advantages compared to other biometrics. Because it is
contactless, this biometric system does not require physical contact between the user and the sensor device, thus providing…
contactless, this biometric system does not require physical contact between the user and the sensor device, thus providing…
Date Fruit Classification using K-Nearest Neighbor with Principal Component Analysis and Binary Particle Swarm Optimization
Various cultivars of date fruit distributed throughout exhibit diverse complexity and unique attributes, including color, flavor,
shape, and texture. These distinctive characteristics and appearance occasionally may lack variability in date fruits,…
shape, and texture. These distinctive characteristics and appearance occasionally may lack variability in date fruits,…
Digital Image Encryption Using Logistic Map
This study focuses on the application of the Logistic Map algorithm in Python programming language for Digital Image
Encryption and Decryption, the differentiating aspect of the present research in contrast to prior studies lies in its elucidation…
Encryption and Decryption, the differentiating aspect of the present research in contrast to prior studies lies in its elucidation…
Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm
Currently, security systems use conventional security methods, which provide low levels of security. Therefore, some
organizations now use biometric-based security systems, which include facial recognition-based systems. However, processing…
organizations now use biometric-based security systems, which include facial recognition-based systems. However, processing…
Feature Extraction for Improvement Text Classification of Spam YouTube Video Comment using Deep Learning
The proposed algorithms are Bidirectional Long Short Term Memory (BiLSTM) and Conditional Random Fields (CRF) with
Data Augmentation Technique (DAT). DAT integrates spam YouTube video comments into the traditional TF-IDF algorithm
and generates a…
Data Augmentation Technique (DAT). DAT integrates spam YouTube video comments into the traditional TF-IDF algorithm
and generates a…
Forecasting Photovoltaic Output Power Based on Environmental Parameters Using Artificial Neural Network Methods
Photovoltaic is a system that can convert sunlight into electrical energy. However, photovoltaic efficiency tends to be low and
its performance is affected by several environmental parameters such as dust, wind speed, humidity, temperature and…
its performance is affected by several environmental parameters such as dust, wind speed, humidity, temperature and…
Forecasting the Magnitude Category Based on The Flores Sea Earthquake
Earthquakes are a phenomenon that is still a mystery in terms of predicting events, one of which is the magnitude. As technology
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
Imputation Missing Value to Overcome Sparsity Problems in The Recommendation System
A recommendation system is a system that provides suggestions or recommendations for a product or service for its users. One
of the problems encountered in the recommendation system is sparsity, namely the lack of available data for analysis,…
of the problems encountered in the recommendation system is sparsity, namely the lack of available data for analysis,…