VOL 8 NO 1 (2024)
Dublin Core
Title
VOL 8 NO 1 (2024)
Collection Items
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…
Data Mining Techniques for Predictive Classification of Anemia DiseaseSubtypes
Anemia, characterizedby insufficient red blood cells or reduced hemoglobin,hinders oxygen transport in the body. Understanding thevarioustypes of anemiais vital to tailor effective prevention and treatment. This research explores data…
Visual Impaired Assistance for Object and Distance Detection Using Convolutional Neural Networks
Vision is a very valuable giftfrom God, most aspects of human needs in the body are dominated by vision. Based on data from the World Health Organization (WHO) there are around 180 millionpeople in the world experiencing visual impairment, while the…
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…
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 …
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 …
Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning
This study investigates the intricate relationship between electricity consumption in smart office environments, temporal elements such as time, and external factors such asweather conditions. Usinga data set that …
A Comparative Study of HTTP and MQTT for IoT Applications in Hydroponics
Hydroponics is basedon nutrients in water. It mustbe regularlymonitoredto prevent plant defects. The Internet of Things has become a solution for remote hydroponic monitoring and is currently being tested on the Yuan HidroponikKelompok Wanita Tani…
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 …
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…