Browse Items (20 total)
- Collection: VOL 8 NO 1 (2024)
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Cattle Weight Estimation Using Linear Regression and Random Forest Regressor
The global cattle farming industry has benefits as a food source, livelihood, economic contribution, land environmental restoration, and energy source. The importance of predicting cow weight for farmers is to monitor …
Monitoring and Controlling System for Mango Logistics Based on Machine Learning
Fruits are highly perishable goods, which meansthey have a short shelf life and can pose significant challenges in trade. A longsupply chain can trigger the process of fruit spoilage. The logistics environment, both internal and …
Comparison of Machine Learning Algorithms in Detecting Tea LeafDiseases
Tea is one of the top ten most exported products sent from Indonesia toforeign countries. However, in recent years, the amount of tea leaf exports from Indonesia has decreased, even though the export value impacts the country’s economic structure.…
Anatomy Identification of Bamboo Stems with The Convolutional Neural Networks (CNN) Method
Bamboo is important to note that some species of bamboo are protected and considered endangered. However, distinguishing between traded and protected bamboo species or differentiating between bamboo species for various purposes is …
Indonesian Crude Oil Price (ICP) Prediction Using Support Vector Regression Algorithm
Indonesian crude oil prices (ICP) experience fluctuating movements, influenced by several factors and other conditions that make ICP prices difficult to predict. ICP priceprediction can be done with the Support Vector Regression (SVR) method. The…
Image Preprocessing Approaches Toward Better Learning Performance with CNN
Convolutional neural networks(CNNs) are at the forefront of computer vision, relying heavily on the quality of input data determined by the preprocessing method. An excessivepreprocessing approach will result in poor learning…
Kmeans-SMOTE Integration forHandlingImbalance DatainClassifying Financial Distress Companiesusing SVM and Naïve Bayes
mbalanced data presents significant challenges in machine learning, leading to biased classification outcomes favouringthe majority class. This issue is especially pronounced in financial distress classification, where data imbalance is common due to…
Development of an Early Warning System Using Social Media for Flood Disaster
his research paper introduces an innovative prototype system that utilizes IoT technologies for monitoring floodwater levels. The integration of an ultrasonic sensor, ESP8266 microcontroller, Arduino IDE, and the ThingSpeak platform aims to establish…
Improving Algorithm Performance using Feature Extraction for Ethereum Forecasting
Ethereum is a cryptocurrency that is now the second most popular digital asset after Bitcoin. Hightrading volume is the trigger for the popularity of this cryptocurrency. In addition, Ethereum is home to various …
The Design of a C1 Document Data Extraction Application Using a Tesseract-Optical Character RecognitionEngine
The 2019 election process employed the Vote Counting Information System, also known as Sistem Informasi Penghitungan Suara (Situng), to provide transparency in the recapitulation process. The data displayed in Situng is from the C1…