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ENERAPAN METODE CLUSTERING K-MEANS TERHADAP DOSEN BERDASARKAN PUBLIKASI JURNAL NASIONAL DAN TERAKREDITASI SINTA
Penelitian tentang pengelompokkan dosen dengan mempertimbangkan beberapa hasil karya ilmiah ataupun penelitian yang terpublikasi baik secara nasional maupun secara terakreditasi sinta. Hal ini dilakukan untuk mengetahui tingkat…
Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future…
Engagement in student organizations and graduates’ readiness to enter the job market
Studies highlight particular concern about the work readiness of university graduates, which potentially leads to many undesirable outcomes, such as rising unemployment rates and low productivity levels in the workplace. This study aims to explore…
Enhanced Relative Comparison of Traditional Sorting Approaches towards Optimization of New Hybrid Two-in-One (OHTO) Novel Sorting Technique
In the world of computer technology, sorting is an operation on a data set that involves ordering it in an increasing or decreasing fashion according to some linear relationship among the data items. With the rise in the generation of big…
Enhancing Assault Maneuvers in Simulated Scenarios of Multiple Invader Kamikaze Drones through the Utilization of a Modified Adaptive Elforce Algorithm
The development of autonomous drone technology has led in their widespread deployment, especially in combat scenarios. One instance of this is the utilization of kamikaze drones, as seen in the Ukraine war. Autonomous defense drones have been used to…
ENHANCING BANKING FUTURE PERFORMANCE: REVALUATION AND BOOK-TO-MARKET RATIO
The banking sector played a crucial role in global economic stability, supporting financial and investment activities. Prior to making funding decisions within the banking sector, investors required reliable information disclosure. The assessment of…
Enhancing Cardiovascular Diseases Classification using CNN Algorithm
This study focuses on using machine learning algorithms to detect cardiovascular diseases, addressing the critical need for accurate and timely diagnosis of these conditions, which are significant contributors to global morbidity and mortality. The…
Enhancing clinical risk assessment in pediatric blunt abdominal trauma: A novel scoring system using ultrasound and laboratory data
Given the importance of diagnosing intra-abdominal injury (IAI) in children with blunt abdominal trauma (BAT) and preventing radiation exposure to children by avoiding CT scans, this study aimed to evaluate a scoring criterion based on ultrasound…
Enhancing Crime Prediction UsingK-Means withPSO
The effects of social media and modern approaches help offenders to achieve their crimes. This paper exploresmachine learning architectureto predict criminal crime cases by classifyingeach type of crime using K-Means which is optimized…
Enhancing Cyber Security: The Role of Networking, Coordination, and Trusted Information Sharing in Organizational Resilience
Organizations must take proactive measures to strengthen their cybersecurity posture as cyber-attacks continue to develop and become more sophisticated. Networking, coordination, and the sharing of trustworthy information among entities and…