Browse Items (26 total)
- Collection: VOL 7 NO 6 (2023)
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Analysis And Classification of Customer Churn Using Machine Learning Models
Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer
relationships with companies. Customer analysis using exploratory data analysis (EDA) for visualizing data and the use of…
relationships with companies. Customer analysis using exploratory data analysis (EDA) for visualizing data and the use of…
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…
The Examination of the User Engagement Scale (UES) in Small Medium Enterprise Social Media Usage: A Survey-Based Quantitative Study
Social media has proven to be an essential marketing tool for the success of any product, service, or business. User involvement
affects the increase in revenue gain and creates long-term profit. The User Engagement Scale (UES) is one of the tools…
affects the increase in revenue gain and creates long-term profit. The User Engagement Scale (UES) is one of the tools…
Predicting the Planting Time of Bird's Eye Chili Based on Environmental Conditions Using Internet of Things (IoT) and Neural Network Method
In Indonesian cuisine, Red Tabasco pepper holds a significant place as a commonly used ingredient. However, the cultivation
of this chili variety is not without its challenges, primarily due to the volatile nature of chili prices. Farmers often…
of this chili variety is not without its challenges, primarily due to the volatile nature of chili prices. Farmers often…
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…
MobileNetV3-based Handwritten Chinese Recognition Towards the Effectiveness of Learning Hanzi
Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character
formations. This paper explores the potential of a machine learning-based digital learning tool for writing Mandarin
characters.…
formations. This paper explores the potential of a machine learning-based digital learning tool for writing Mandarin
characters.…
Android Application for Tomato Leaf Disease Prediction Based on MobileNet Fine-tuning
Tomato is one of the most well-known and widely cultivated plants in the world. Tomato production result is affected by the
conditions of the plants when they are cultivated. It may decrease due to leaf plant disease caused by climate change,…
conditions of the plants when they are cultivated. It may decrease due to leaf plant disease caused by climate change,…
Balinese Script Handwriting Recognition Using Faster R-CNN
In Balinese culture, the ability to read Balinese script is one of the challenges young generations face. Advances in machine
learning have proposed handwriting detection systems using both traditional and deep learning models. However, the…
learning have proposed handwriting detection systems using both traditional and deep learning models. However, the…
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,…
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…