This study aims to improve the performance of arrhythmia classification in deep learning models using the Teaching Learning Based Optimization (TLO) algorithm for feature optimization. The features…
The healthcare industry in Indonesia is rapidly developing, particularly in addressing myocardial infarction (heart attack), a medical emergency that requires prompt detection. Common examinations …
This study developed an arrhythmia classification model based on electrocardiogram (ECG) signals using time-domain RR-interval feature extraction techniques and the implementation of Teaching-Learn…
Advancements in Natural Language Processing (NLP) have improved the extraction of information from unstructured biomedical text, particularly in recognizing clinical named entities like diseases, g…
The Indonesia Smart Card (KIP) College Program aims to improve the quality of human resources by providing educational assistance to students from underprivileged families. However, the distributio…
Cardiac abnormalities are disorders in heart function that can be detected through electrocardiogram (ECG) signals. This research uses a frequency domain-based feature extraction method with Fast F…
Segmentation of heart holes and septum in pediatric medical images presents a major challenge in medical image analysis to support the diagnosis of congenital heart disease. Congenital heart defect…
Early detection of fetal heart anomalies, such as cardiomegaly, is critical in prenatal diagnosis. However, manual segmentation of ultrasound (USG) images requires specialized expertise and is time…
Kemajuan teknologi komputasi kuantum telah menimbulkan ancaman serius terhadap keamanan sistem kriptografi konvensional seperti RSA dan ECC yang saat ini digunakan secara luas dalam aplikasi komuni…
The rapid advancement of digital technology has encouraged telecommunication companies to provide services that are not only functional but also offer an optimal user experience. BIMA+, a digital a…
Traffic congestion is a major problem in Palembang City due to the significant growth in the number of vehicles. This study aims to develop an artificial intelligence-based system in detecting vehi…
Cervical cancer is one of the leading causes of death among women, particularly in developing countries. Early detection through Visual Inspection with Acetic Acid (VIA) is considered effective, bu…
Penelitian ini membahas segmentasi citra ultrasonography jantung anak untuk mendeteksi lubang (hole) dan septum jantung menggunakan pendekatan deep learning, khususnya model YOLO (You Only Look Onc…
Heart disease, particularly myocardial infarction (IM), is a leading cause of global death that requires early and accurate detection to prevent fatal outcomes. This study aims to develop a deep le…
This study aims to evaluate the performance of a solar power generation system in producing electrical energy and its capability to meet the energy demands of a smart home. The methodology involves…
Blackhole Attack Detection on 6LoWPAN Networks Still Has Several Disadvantages, Such as Limited Detection Accuracy Because It Only Depends on One Parameter, High Communication Overhead Due to the U…
Reverse HTTPS Exploit is a type of malware attack technique used by attackers to exploit vulnerabilities in the HTTPS layer of an application or system, aiming to steal sensitive data from the targ…
Penelitian ini menganalisis pengaruh cuaca dan kondisi jalan terhadap kecelakaan lalu lintas menggunakan K-Means, serta membandingkannya dengan Gaussian Mixture Model (GMM) dan Spherical K-Means. D…
Facial expression recognition is a branch of digital image processing widely applied in various fields, such as security, human-robot interaction, and artificial intelligence systems. However, the …
This research aims to develop a dynamic facial recognition system focusing on the identification of the eye and nose areas. The system utilizes the Weightless Neural Network (WNN) method with the I…
Traffic congestion in Palembang City is a major problem, especially during rush hour, which impacts travel efficiency and increases vehicle emissions. Traffic management that is not yet optimal in …
Brand Erspo adalah sebuah brand produk olahraga yang diproduksi oleh Perusahaan Erigo. Erigo sendiri adalah apparel lokal yang mengkhususkan diri pada streetwear fashion yang digunakan pria dan wan…
Assessment of learning completion is a crucial aspect in education, but conventional methods are often inaccurate and rigid, especially in accommodating variations in student abilities. This study …
With the advancement of technology, deep learning models are increasingly being used in the medical field, particularly in image segmentation. This study aims to develop and evaluate methods for se…
YOLO (You Only Look Once) merupakan arsitektur deep learning yang dikenal efisien dalam tugas deteksi dan segmentasi objek secara real-time. Meskipun telah banyak digunakan dalam berbagai bidang, p…
Cyberattacks are attempts by individuals or groups to attack computer systems, networks, or other electronic devices with the intent of stealing sensitive data, damaging infrastructure, or creating…
Non-Doppler segmentation of pediatric heart holes and chambers using deep learning approach with You Only Look Once (YOLO) algorithm through mobile devices. The main objective of this study is to e…
The Naïve Bayes method has proven effective in detecting, evaluating, and performing multi-classification of cyberattacks. By leveraging the Chi-Square Feature Selection algorithm, accuracy can be…
International Electrotechnical Commission (IEC) 61850 is a communications standard designed specifically for electrical substation automation, facilitating interoperability among Intelligent Electr…
Preventive measures and early detection of LPG gas leaks, commonly used in households and industries, are necessary to prevent LPG gas leaks. This study developed a smart fire detection system in f…