Machine Learning Algorithm Optimization using Stacking Technique for Graduation Prediction
Graduating on time is crucial for academic success, impacting time, costs, and education
quality. Hang Tuah University Pekanbaru (UHTP) is currently struggling to meet its goal of …
quality. Hang Tuah University Pekanbaru (UHTP) is currently struggling to meet its goal of …
Analysis Impact of Rapid Application Development Method on Development Cycle and User Satisfaction: A Case Study on Web-Based Registration Service
Purpose: This research was conducted to respond to obstacles and inefficiencies in the new
student registration system at RA Plus Rabbani. Currently, the conventional method of using …
student registration system at RA Plus Rabbani. Currently, the conventional method of using …
[PDF][PDF] Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing Loan Prediction
Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing
Loan Prediction Page 1 Scientific Journal of Informatics Vol. 11, No. 1, Feb 2024 p-ISSN …
Loan Prediction Page 1 Scientific Journal of Informatics Vol. 11, No. 1, Feb 2024 p-ISSN …
Improving car price prediction performance using stacking ensemble learning based on ann and random forest
Determining the right selling price for a car can be a challenge for car sales companies. The
selling price of a car is highly influenced by car characteristics such as brand, type, year of …
selling price of a car is highly influenced by car characteristics such as brand, type, year of …
Machine Learning Techniques for Classifying Indonesian Foods and Drinks by Nutritional Profiles
B Al Qohar, YMP Tanga, AY Darmawan… - Journal of Information …, 2025 - shmpublisher.com
Local ingredients and Indonesia's diverse culinary traditions play an important role in
shaping people's health and eating habits. Understanding the nutritional profile of …
shaping people's health and eating habits. Understanding the nutritional profile of …
Comparison of Discriminant Analysis and Support Vector Machine on Mixed Categorical and Continuous Independent Variables for COVID-19 Patients Data
Purpose: Numerous factors can affect the duration of COVID-19 recovery. One method
involves utilizing natural herbal medication. This study seeks to determine the variables …
involves utilizing natural herbal medication. This study seeks to determine the variables …
[HTML][HTML] YOLO vs. CNN Algorithms: A Comparative Study in Masked Face Recognition
MR Dewanto, MN Farid, MAR Syah… - Scientific Journal of …, 2024 - journal.unnes.ac.id
Purpose: This research investigates the effectiveness of YOLO (You Only Look Once) and
Convolutional Neural Network (CNN) in real-time face mask recognition, addressing the …
Convolutional Neural Network (CNN) in real-time face mask recognition, addressing the …
Improved playstore review sentiment classification accuracy with stacking ensemble
DB Santoso, A Munna… - Journal of Soft Computing …, 2024 - shmpublisher.com
In today's digital era, user reviews on the Playstore platform are an invaluable source of
information for developers, offering insights that are critical for service improvement …
information for developers, offering insights that are critical for service improvement …
Makine Öğrenimi Teknikleri ile Kredi Risk Tahmininde Yeniden Örnekleme Yöntemlerinin Karşılaştırılması
G Kendirkıran, S Doğan - Söke İşletme Fakültesi Dergisi, 2024 - dergipark.org.tr
One of the most important issues affecting machine learning performance is class imbalance
problems. In this case, which is frequently encountered in real-world problems, the effect of …
problems. In this case, which is frequently encountered in real-world problems, the effect of …