Browse Items (26 total)
- Collection: VOL 7 NO 6 (2023)
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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…
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,…
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.…
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,…
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…
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…
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…
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews
Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
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,…
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…