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, but it still presents a high rate of false positives due to the limitations of visual observation. This study aims to develop and evaluate the YOLOv8 model for accurate and efficient segmentation of pre…
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 Once). Penelitian ini menggunakan dataset citra ultrasonography non-doppler yang diambil dari rekaman smartphone, kemudian dilakukan segmentasi dengan berbagai varian model YOLOv8 (nano, small, medium, d…
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 learning-based IM multi-class classification system using ECG signals from the PTB-XL dataset. The model was built with a combination architecture of Convolutional Neural Network (CNN) and Long Short-Te…
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 data exploration, predictive modeling using linear regression, and energy sufficiency analysis. Preprocessing results indicate that the dataset is clean and suitable for analysis. Exploratory analysi…
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 Use of Encryption or IDS, and Lack of Adaptation to Heterogeneous IoT Network Characteristics. The Threshold Method Offers a More Efficient Solution by Combining Packet Delivery Ratio (PDR), Packet Los…
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 banyak orang harus ditangguhkan. Hal ini berdampak pada kinerja karyawan, masalah seperti ini pasti membutuhkan sumber daya manusia berkualitas tinggi. Tujuan penelitian ini menganalisis pengaruh knowledg…
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 target. This study utilized raw dataset files in .pcap format provided by the COMNETS Research Lab at Sriwijaya University. The data was collected through realistically designed experimental scenarios to …
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. Data mencakup variabel cuaca, kondisi jalan, dan karakteristik kecelakaan 2018–2023. Hasilnya, cuaca hujan dan jalan basah meningkatkan risiko kecelakaan. GMM unggul dalam evaluasi metrik, tetapi K-M…
University has adapted internet into almost every activities. The implementation and utilization of the internet itself have effectively improved students’ academic performance. However, their access to a stable internet still remains as an issue. This condition also happened to Universitas Sriwijaya’s students. The campus Wi-Fi conditions that are not yet able to fully support student acti…
The Academic Information System (SIMAK) at Sriwijaya University frequently encounters access issues, unstable servers, and a less intuitive interface, which adversely affects user experience. Sentiment analysis utilizing Naïve Bayes on data from social media platform X (Twitter) reveals that 64% of sentiments are negative, primarily concerning technical problems and navigation difficulties. Co…
Reproductive health education is a crucial element in preventing diseases related to the reproductive health system. However, access to accurate and reliable information about reproductive health remains a challenge for many teenagers and adults. Furthermore, many individuals are still unaware of the importance of early identification and preventive measures for reproductive health-related dise…
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 main challenge in implementing facial recognition systems on embedded and mobile robotic devices lies in computational power and memory constraints. Therefore, this study develops a facial expression …
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 Immediate Scan technique, enabling fast and accurate recognition despite changes in facial positioning. The detection process is carried out using the Haar Cascade Classifier algorithm, which identifie…
Keberhasilan sebuah perusahaan seringkali bergantung pada efektivitas dari kegiatan operasionalnya. Namun, tantangan muncul ketika beberapa karyawan masih menghadapi kesulitan dalam mengelola pekerjaan mereka karena masih mengandalkan cara konvensional. Untuk mengatasi masalah ini dan meningkatkan produktivitas, sebuah sistem informasi workspace perlu untuk dirancang. Sistem informasi ini diran…
The rapid development of technology has significantly transformed various aspects of life, including payment systems, which have shifted to cashless transactions. While this convenience facilitates financial activities, it also triggers impulsive and consumptive behavior, especially among young people. Low financial literacy is one of the main reasons for the difficulty faced by the younger gen…
Pencatatan pengelolaan limbah merupakan aspek penting dalam operasional rumah sakit, terutama dalam menjaga kesehatan lingkungan. Digitalisasi sistem informasi pencatatan limbah menjadi langkah strategis untuk meningkatkan efisiensi dan akurasi dalam pengelolaan limbah di Rumah Sakit XYZ Palembang. Penelitian ini bertujuan untuk merancang user interface sistem informasi SHPL Digi modul pengolah…
This research was conducted to overcome the challenges in the data recording process in the predictive maintenance system which has been carried out in a semi-computerized manner. The process is time-consuming and error-prone, thus reducing operational efficiency and system reliability. In the context of predictive maintenance, data visualization plays an important role to help users understand…
Perkembangan teknologi informasi mendorong inovasi untuk meningkatkan efisiensi dan efektifitas proses bisnis, termasuk layanan peminjaman kendaraan. PT PLN Indonesia Power UPDK Keramasan Palembang, sebagai instansi yang bergerak di bidang kelistrikan, masih mebgelola sistem peminjaman kendaraan secara manual yang berisiko terhadap kesalahan pencatatan serta kurang efisien dalam penyampaian inf…
PT Pertamina ( Persero ) is one of state - owned enterprises company engaged in the field of oil and gas at Palembang. There are many divisions at PT Pertamina (Persero), one of divisions is IT. IT is a division as support which provides information and communication service. The division of IT were not implemented a method for managing the data of inventory at IT warehouse, therefore it was di…
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 utilizing intelligent technology makes it difficult to handle dynamic conditions. This study aims to analyze and manage traffic in Palembang City with three methods: vehicle detection using YOLOv8, tr…
Based by regulation of Minister of Energy and Mineral Resources (ESDM) Decree No. 1827 K/30/MEM/2018 the mining road at PT Firman Ketaun which does not meet the regulatory standards of as well as coal productivity targets not being achieved due to long distances and high road slopes. Apart from this, the dimensions of the road must also be re-evaluated to produce a good road that meets safety s…
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 wanita. Erigo telah menjalin kerjasama dengan PSSI untuk merancang jersey Skuad Garuda, menggantikan brand sebelumnya yaitu Mills. Erspo sempat menjadi trending topik pada media sosial X setelah rilis je…
PT Bumi Sekundang Enim Energy is a member of the Baramulti group of companies engaged in mining. The working area of PT Bumi Sekundang Enim Energy Pit AB is divided into two parts: Pit AB and Pit C, with current operations focused on Pit AB. The method used is open pit mining. In May 2024, the planned production for overburden stripping activities in Pit AB is 332,829.17 BCM/month, while the ac…
The Faculty of Computer Science at Sriwijaya University currently relies on semi-digital and centralized processes for managing student and alumni certificates, which are vulnerable to forgery and lack transparency. This study develops a private blockchain–based certificate management system using Quorum with Hyperledger Besu and a POA (Proof-of-Authority) consensus mechanism. Non-Fungible To…
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 segmenting pre-cancerous cervical lesions using the YOLO (You Only Look Once) architecture, specifically YOLOv8 and YOLOv11, as well as the Segment Anything Model (SAM and SAM 2). The YOLO model is used…
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, penerapannya dalam segmentasi citra ultrasonografi (USG) fetal masih terbatas. Penelitian ini bertujuan untuk mengevaluasi dan membandingkan performa beberapa versi model YOLO, yaitu YOLOv8, YOLOv9, da…
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 disruptions in service. There are various types of cyber-attacks, including malware attacks, phishing attacks, DDoS (Distributed Denial of Service) attacks, ransomware attacks, and more. To protect t…
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 evaluate the performance of YOLOv8 in segmenting cardiac structures, namely chambers and orifices, such as the right atrium, left atrium, right ventricle, left ventricle, and heart pit, from non-Dopple…
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 improved by selecting the most relevant features for detecting attacks, enabling classification based on their types. The datasets used for testing and multi-classification include CIC-IDS2018, CIC-I…
International Electrotechnical Commission (IEC) 61850 is a communications standard designed specifically for electrical substation automation, facilitating interoperability among Intelligent Electronic Devices (IEDs) in SCADA systems. This protocol overcomes the limitations of legacy systems by utilizing IP-based communications, which allows for more efficient and flexible data handling. This c…