Penelitian ini bertujuan membangun model klasifikasi kondisi lalu lintas menggunakan data dari sosial media (Instagram dan Facebook) serta data ETLE dengan arsitektur Recurrent Neural Network. Dari…
Traffic congestion is a serious issue that requires data-driven solutions and intelligent technologies. This study proposes a congestion detection system and alternative route recommendation based …
Instagram has become one of the most popular platforms, with 86.5% of users making it the second most accessed social media platform in the country by 2024. Almost all government agencies in Indone…
This study aims to analyze the factors influencing the use of the SIGNAL application for two-wheeled motor vehicle tax payments at the Palembang City Samsat Office 01. The research adopts the Unifi…
This study aims to develop a system capable of identifying and classifying medical entities from unstructured biomedical texts, thereby supporting Clinical analysis and health research. The author …
The academic administration system at the Faculty of Computer Science, Sriwijaya University, remains semi-digital and fragmented, causing inefficiency, human error risks, and lack of transparency a…
The Environmental Complaint Information System (SiPeduli) is a complaint application managed by the Environmental Agency of Palembang City, designed to receive public complaints regarding environme…
Nowadays, video games are getting popular due to the rapid growth of technology, especially mobile technology. Video games are now able to be played on mobile devices whether in single or multiplay…
Zalora is an E-Commerce application founded in 2012 in Singapore and now operates in various countries, including Indonesia. Although widely known, this application still has a number of complaints…
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…
Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis sentiment konsumen terhadap produk ZALORA di Google Play Store, dan menganalisis keakuratan metode random forest dalam klasifikas…
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…
Salah satu perusahaan BUMN pertambangan adalah PT Bukit Asam Tbk. PT Bukit Asam Tbk jelas menghadapi tantangan dalam proses bisnisnya selama pandemi COVID-19. Beberapa kegiatan yang melibatkan bany…
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…
University has adapted internet into almost every activities. The implementation and utilization of the internet itself have effectively improved students’ academic performance. However, their ac…
The Academic Information System (SIMAK) at Sriwijaya University frequently encounters access issues, unstable servers, and a less intuitive interface, which adversely affects user experience. Senti…