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K-Means Clustering Algorithm Approach in Clustering Data on Cocoa
Production Results in the Sumatra Region
Cocoa agricultural production in Indonesia is currently very low while demand continues to increase every year, so it is very
important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze…
important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze…
Fire Detection on Video Using ViBe Algorithm and LBP-TOP
In this research, we built a system to detect fire using the ViBe (Visual Background Extractor) algorithm to extract dynamic
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we…
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we…
Data Mining Technology Used in an Internet of Things-Based Decision
Support System for Information Processing Intelligent Manufacturing
In recent years, database technology has improved significantly, and database management systems have gained widespread
adoption. As a result, the volume of data saved across numerous databases has increased exponentially. However, the…
adoption. As a result, the volume of data saved across numerous databases has increased exponentially. However, the…
Implementation of Open-Source ERP-Based Fleet Management System on
SMEs Transportation Service Provider
Enterprises Resource Planning (ERP) systems can be analogized as the backbone of the information system in a company.
Many large-scale companies have adopted ERP systems to increase efficiency in the company's business processes. This
research…
Many large-scale companies have adopted ERP systems to increase efficiency in the company's business processes. This
research…
Application of The Naïve Bayes Classifier Algorithm to Classify
Community Complaints
Unsatisfactory public services encourage the public to submit complaints/ reports to public service providers to improve their
services. However, each complaint/ report submitted varies. Therefore, the first step of the community complaint…
services. However, each complaint/ report submitted varies. Therefore, the first step of the community complaint…
House Prices Segmentation Using Gaussian Mixture Model-Based
Clustering
House is a place for humans to live and a main necessity for humans. For years, the need for houses is increasing and varied
so that it affects the selling price of the house. Therefore, more research is needed to learn about the selling price of…
so that it affects the selling price of the house. Therefore, more research is needed to learn about the selling price of…
Identify the Color and Shape of Eggplant Using Back Propagation Method
Currently, artificial neural networks are being developed as a tool that can help human tasks. The problem so far in identifying
and detecting eggplants carried out by a vegetable shop is still mostly using the manual method based on direct visual…
and detecting eggplants carried out by a vegetable shop is still mostly using the manual method based on direct visual…
Intermittent Demand Forecasting Using LSTM With Single and Multiple
Aggregation
Intermittent demand data is data with infrequent demand with varying number of demand sizes. Intermittent demand
forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts. Based on
previous…
forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts. Based on
previous…
Optimization Ground Glass Opacities (GGO) Detection Using Multipixel
Interpolation Techniques
Ground Glass Opacities (GGO) are a picture of abnormal lung conditions characterized by white or gray areas. This picture
of GGO in the lungs could previously be detected based on the results of medical examinations such as Computerized…
of GGO in the lungs could previously be detected based on the results of medical examinations such as Computerized…
Implementing Machine Learning Techniques for Predicting Student
Performance in an E-Learning Environment
The way people learn has been affected by the COVID-19 pandemic, resulting in a shift from traditional classroom-based
learning to online learning. As a result, educational institutions have a new opportunity to use relevant data to predict…
learning to online learning. As a result, educational institutions have a new opportunity to use relevant data to predict…