Browse Items (26 total)
- Collection: VOL 7 NO 6 (2023)
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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…
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…
Balinese Script Handwriting Recognition Using Faster R-CNN
In Balinese culture, the ability to read Balinese script is one of the challenges young generations face. Advances in machine
learning have proposed handwriting detection systems using both traditional and deep learning models. However, the…
learning have proposed handwriting detection systems using both traditional and deep learning models. However, the…
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…
A Cost-Effective Vital Sign Monitoring System Harnessing Smartwatch for Home Care Patients
Telemedicine applications enable online health consultation services, but they have limitations: there is no vital sign
examination as in offline consultation. Furthermore, vital sign examinations for patients treated outside hospitals, such as…
examination as in offline consultation. Furthermore, vital sign examinations for patients treated outside hospitals, such as…
Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods
Pap smear is a digital image generated from the recording of cervical cancer cell preparation. Images generated are
susceptible to errors due to the relatively small cell sizes and overlapping cell nuclei. Therefore, accurate Pap smear image…
susceptible to errors due to the relatively small cell sizes and overlapping cell nuclei. Therefore, accurate Pap smear image…
ANoM STEMMER: Nazief & Andriani Modification for Maduresse Stemming
Madurese is one of the regional languages in Indonesia. This is a cultural property that needs to be preserved. With various
uniqueness and word formation rules, the Madurese language can be used in Information Retrieval, namely stemming. The…
uniqueness and word formation rules, the Madurese language can be used in Information Retrieval, namely stemming. The…
Analysis of the SaintekMu Website Quality on User Satisfaction Using the Modified System Usability Scale and Webqual 4.0 Method
At present, websites are a major means of finding or providing information. The Saintekmu website was created to offer topnotch service to students. One way to ensure that the website's services are appropriate and that information technology is…
Artificial Neural Network Based Prediction Model Back Propagation on Blood Demand and Blood Supply
The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial.
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
CNN Method to Identify the Banana Plant Diseases based on Banana Leaf Images by Giving Models of ResNet50 and VGG-19
Identify banana plant diseases using machine learning with the CNN method to make it easier to identify diseases in banana
plants through leaf images. It employs the CNN method, incorporating ResNet50 because ResNet50 is one of the best models…
plants through leaf images. It employs the CNN method, incorporating ResNet50 because ResNet50 is one of the best models…