Effect of SMOTE Variants on Software Defect Prediction Classification Based on Boosting Algorithm


Rahmina Ulfah Aflaha, Rudy Herteno, Mohammad Reza Faisal, Friska Abadi, Setyo Wahyu Saputro Abstract Detecting software defects early on is critical for avoiding significant financial losses. However, building accurate software defect prediction models can be challenging due to class imbalance, where the data for defective modules is much less than for standard modules. This research […]

Movie Recommender System Using Cascade Hybrid Filtering with Convolutional Neural Network


Ihsani Hawa Arsytania, Erwin Budi Setiawan, Isman Kurniawan Abstract The current technological advancements have made it easier to watch movies, especially through online streaming platforms such as Netflix. Social media platforms like Twitter are used to discuss, share information, and recommend movies to other users through tweets. The user tweets from Twitter are utilized as […]

An Innovative Artificial Intelligence-Based Extreme Learning Machine Based on Random Forest Classifier for Diagnosed Diabetes Mellitus


Dimas Chaerul Ekty Saputra, Elvaro Islami Muryadi, Raksmey Phann, Irianna Futri, Lismawati Lismawati Abstract Since 2014, the World Health Organization has accumulated data indicating that 8.5% of 18-year-olds and older have been diagnosed with diabetes. In 2019, diabetes caused the lives of 1.5 million people worldwide, with those under the age of 70 accounting for […]

Path Planning for Mobile Robots on Dynamic Environmental Obstacles Using PSO Optimization


Fahmizal Fahmizal, Innes Danarastri, Muhammad Arrofiq, Hari Maghfiroh, Henry Probo Santoso, Pinto Anugrah, Atinkut Molla Abstract The increasing integration of mobile robots in various industries necessitates efficient navigation strategies amidst dynamic environments. Path planning plays a crucial role in guiding mobile robots from their starting points to target destinations, contributing to automation and enhancing human-robot […]

Students Final Academic Score Prediction Using Boosting Regression Algorithms


Dignifo Nauval Muhammady, Haidar Aldy Eka Nugraha, Vinna Rahmayanti Setyaning Nastiti, Christian Sri Kusuma Aditya Abstract Academic grades are crucial in education because they assist students in acquiring the knowledge and skills necessary to succeed in school and their future. Accurately predicting students’ final academic performance grade score is important for educational decision-makers. However, creating […]

Harmonic Mitigation in Inverter Circuits Through Innovative LC Filter Design Using PSIM


Habib Muhammad Usman, Muhammad Mahmud, Sani Saminu, Salihu Ibrahim Abstract The increasing use of renewable energy sources, such as solar and wind power, and the growing ubiquity of High Voltage Direct Current (HVDC) transmission systems to improve power transmission efficiency are the main factors behind the increased deployment of inverter circuits. However, high harmonic distortions […]

Improving Performance for Diabetic Nephropathy Detection Using Adaptive Synthetic Sampling Data in Ensemble Method of Machine Learning Algorithms


Lailil Muflikhah, Fitra A. Bachtiar, Dian Eka Ratnawati, Riski Darmawan Abstract Nephropathy is a severe diabetic complication affecting the kidneys that presents a substantial risk to patients. It often progresses to renal failure and other critical health issues. Early and accurate prediction of nephropathy is paramount for effective intervention, patient well-being, and healthcare resource optimization. […]

Analysis of IoT-LoRa to Improve LoRa Performance for Vaname Shrimp Farming Monitoring System


Puput Dani Prasetyo Adi, Idil Ardi, Nicco Plamonia, Yuyu Wahyu, Angela Mariana L, Hessy Novita, Dendy Mahabror, Riza Zulkarnain, Adi Wirawan, Yudi Prastiyono, Waryanto Waryanto, Suhardi Atmoko Budi Susilo, Rizky Rahmatullah, Akio Kitagawa Abstract Shrimp farming requires a touch that must be right on the side of water quality; water is a fundamental factor that […]

Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement


Dian Wijayanti, Erik Iman Heri Ujianto, Rianto Rianto Abstract Cybersecurity is a critical concern for healthcare organizations in the digital era, as patient data privacy faces significant risks from numerous vulnerabilities. Given the escalating cyberattacks in healthcare, understanding EMR system vulnerabilities has become imperative. This study aimed to find the main weaknesses in Electronic Health […]

Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City


Muhammad Afif Affandi, Munawar Agus Riyadi, Teguh Prakoso Abstract Currently, telecommunication operators must deploy 5G networks to cope with the exponential growth in internet-access demand. To minimize capital expenditure, existing 4G cell towers are being used to install new 5G base stations (gNodeB). However, 5G has different key performance indicators (KPI), frequency and bandwidth values, […]