Browse Items (26 total)
- Collection: VOL 7 NO 6 (2023)
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The Image Extraction Using the HSV Method to Determine the Maturity Level of Palm Oil Fruit with the k-nearest Neighbor Algorithm
The oil palm is one of the monocot oil-producing plants in Indonesia. Sorting errors in oil palm fruit is caused by a sorter error
when distinguishing the color of ripe and immature oil palm fruit. In addition to inefficient time, the area of oil…
when distinguishing the color of ripe and immature oil palm fruit. In addition to inefficient time, the area of oil…
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…
Optimization of Machine Learning Classification Analysis of Malnutrition Cases in Children
Malnutrition is one of the problems that occurs in children caused by a lack of nutritional intake. Indonesia contributed 36%,
making it the fifth country with the largest cases of malnutrition in the world. Based on this, a solution is needed to…
making it the fifth country with the largest cases of malnutrition in the world. Based on this, a solution is needed to…
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.…
Linear and Non-Linear Spatio-Temporal Input Selection In Wireless Traffic Networks Prediction using Recurrent Neural Networks
For the optimization of computer networks with high bandwidth requirements, wireless network traffic prediction is necessary.
Its goal is to reduce maintenance costs and enhance internet services. Feature selection is a major issue in the…
Its goal is to reduce maintenance costs and enhance internet services. Feature selection is a major issue in 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,…
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…
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…
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…