KARAKTERISTIK PASIEN DAN CAIRAN PLEURA PADA KASUS EFUSI PLEURA DI RS DR. M. H…

Background: Pleural effusion is a common clinical manifestation encountered in internal medicine and pulmonology practice, with various etiologies, both transudative and exudative. In Indonesia, the most frequent causes of pleural effusion are tuberculosis, followed by malignancy and heart failure. Analysis of patient characteristics and pleural fluid is essential to determine the type of effus…

KARAKTERISTIK FAKTOR PENCETUS KEJADIAN STATUS EPILEPTIKUS PADA PASIEN ANAK DI…

Background: Status epilepticus (SE) is one of the most common neurological emergencies requiring immediate management. This study aimed to identify the characteristics of precipitating factors of status epilepticus among pediatric patients at Dr. Mohammad Hoesin General Hospital Palembang. Method: This research used a retrospective descriptive design with a cross sectional approach. Data were c…

ANALISIS FORENSIK MOBILE-TROJAN METASPLOIT DENGAN MACHINE LEARNING (DECISION …

The rapid development of mobile technology has opened the door to new advantages in terms of connectivity and productivity. However, its impact on security is becoming increasingly significant, especially with regard to malware attacks on mobile devices. This threat brings serious risks to the confidentiality and integrity of user data. In this research, the malware that will be the object of r…

ANALISIS PERBANDINGAN ANTARA SENSOR SHT31 DAN BME280 DALAM MENGUKUR SUHU DAN …

The Internet of Things (IoT) is a concept aimed at expanding the benefits of continuous internet connectivity. IoT also represents the development of smart sensor-based technology in smart devices that collaborate over the internet. It holds significant promise for optimizing future life. This study discusses a comparative analysis between the SHT31 and BME280 sensors in measuring temperature a…

ANALISIS SENSOR MAX30102 PADA PEMBANGUNAN ALAT PENDETEKSI DETAK JANTUNG BERBA…

Internet of Things (IoT) has developed rapidly in the health sector, one of which is the application to detect heart rate and blood oxygen levels using the MAX30102 sensor. This study aims to analyze the accuracy level of the MAX30102 sensor in measuring heart rate and oxygen saturation (SpO2) on an IoT-based detector by comparing it to a standard Pulse Oximeter medical device. Testing was carr…

DEKTEKSI SERANGAN DDOS PADA SMART HOME DENGAN METODE K-NEAREST NEIGHBOR (KNN)

A Distributed Denial of Service (DDoS) attack is a type of cyber attack where the attacker makes a service or network unavailable to users by sending a large amount of fake traffic to the server, overloading the target with the intent to stop the service. In this research, the K-Nearest Neighbor (KNN) method is used to detect attacks in the dataset. The dataset used in this study is from the CO…

ANALISIS PENGGUNAAN ENERGI PERANGKAT IOT PADA SMART HOME MENGGUNAKAN METODE M…

The Internet of Things (IoT)is a concept involving the connection of devices as internet-based communication media. Through IoT, users can connect and communicate to perform specific tasks, search for, process, and transmit information automatically. One environment where the Internet of Things is commonly implemented is the Smart Home, where devices consume a substantial amount of energy. This…

DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) ATTACK PADA SMART HOME DENGAN MENGG…

MITM attacks pose a serious threat by enabling intruders to intercept and alter communications between devices in an Internet of Things (IoT) network. This research proposes a method for detecting Man-in-the-Middle (MITM) attacks in smart home systems using a Deep Neural Network (DNN) algorithm. The study uses the COMNETS SMART HOME dataset with ARP Poisoning attacks. Data were processed with a…

DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) PADA SMART HOME MENGGUNAKAN METODE …

MITM attacks allow third parties to infiltrate between communicating devices to steal or modify data without being detected, increasing the security risk of smart home networks. This study aims to detect Man in the Middle (MITM) attacks on smart home networks using the Support Vector Machine (SVM) algorithm. The dataset used is COMNETS SMART HOME, which contains MITM attack data based on the AR…

 PENINGKATAN AKURASI IMPUTASI DATA YANG HILANG PADA DATA DERET WAKTU MULTIVA…

Missing data is a common and complex issue in the industrial world, making data processing more challenging. Imputation methods, whether conventional or using neural networks, are employed to address this issue by estimating or computing the missing values. Deep learning is chosen for its ability to unearth hidden information within data, significantly enhancing the data imputation process. Thi…

HUBUNGAN DEFISIENSI BESI DENGAN DISFUNGSI KOGNITIF PADA PASIEN HEMODIALISIS K…

Background: Iron deficiency is a common complication in hemodialysis patients and has been known to have a negative impact on cognitive function. This study aimed to analyze the association of iron deficiency with cognitive impairment in chronic hemodialysis patients. Methods: This observational study was conducted using cross-sectional design in chronic hemodialysis patients at Mohammad Hoesin…

KLASIFIKASI LALU LINTAS DARKNET MENGGUNAKAN METODE ADABOOST CLASSIFIER

Darknet dikenal karena kemampuannya yang dapat memberikan anonimitas yang sering digunakan untuk kegiatan ilegal. Laporan monitor keamanan dari BSSN menunjukkan bahwa 290.556 data kredensial akun dari instansi di Indonesia telah terekspos di darknet. Teknik klasifikasi merupakan pendekatan penting dalam mempelajari dan mengidentifikasi lalu lintas darknet. Penelitian ini mengusulkan AdaBoost Cl…

PERBAIKAN KUALITAS CITRA JANTUNG MENGGUNAKAN METODE DEEP LEARNING

In infant heart ultrasound images, problems often appear such as low brightness, noise and blur. To overcome this problem, an improvement process is needed using deep learning techniques such as MIRNet, Autoencoder, EDR-CNNs, and LLCNN. The best method is MIRNet, which produces PSNR values of 36.37 dB, MSE of 16.69, and SSIM of 92.86. In addition, the results obtained were tested through classi…

PERANCANGAN ANTARMUKA PENGGUNA APLIKASI SELF CARE KESEHATAN MENTAL UNTUK MAHA…

The lack of mental health-related media in Sriwijaya University's academic environment can affect the mental health of students who are studying, especially after the increase in mental health problems after the COVID-19 pandemic, so other media aimed at mental health self-care is needed that can be utilized and used by Sriwijaya University students. The purpose of this research is to design th…

IMPLEMENTASI METODE FUZZY LOGIC SUGENO UNTUK DETEKSI KUALITAS AIR PADA REMOTE…

This research is motivated by the increasing amount of clean water quality pollution, this water quality pollution has an impact on society, with a large amount of water quality pollution so it is formulated in this research how to determine water quality by detecting the water quality with a water quality detection tool that has a high level of accuracy. The aim of this research is to be able …

PERANCANGAN YOU ONLY LOOK ONCE (YOLO) DENGAN SLICING AIDED HYPER INFERENCE (S…

Pengenalan objek berukuran kecil merupakan tantangan signifikan dalam tugas deteksi dan segmentasi model, terutama ketika objek tersebut sangat kecil dibandingkan dengan area sekitarnya. Hal ini sangat penting dalam aplikasi seperti diagnosis penyakit, yang memerlukan presisi tinggi. Tantangan ini semakin kompleks dengan adanya variasi orientasi citra, tingkat noise yang tinggi, kompleksitas la…

SEGMENTASI CITRA JANTUNG ANAK MENGGUNAKAN METODE YOLO

Child heart image segmentation is a crucial step in medical analysis for the diagnosis of heart diseases. In this study, we utilize the You Only Look Once (YOLO) method for the segmentation of child heart images. YOLO is a well known deep learning model in object detection due to its ability to perform real time detection with high accuracy. We collected a dataset of child heart images, perform…

EVALUASI TINGKAT KEMATANGAN MANAJEMEN INSIDEN LAYANAN TEKNOLOGI INFORMASI PT.…

ITIL (Information Technology Infrastructure Library) merupakan salah satu kerangka kerja manajemen layanan teknologi informasi yang paling banyak digunakan.Sistemmanajemen insiden layanan teknologi informasi PT Pusri dibangun berdasarkan ITIL v4. Keefektifan serta keefisienan sistem manajemen insiden perlu dijamin sehingga diperlukan evaluasi tingkat kematangan sistem. Evaluasi Tingkat kematang…

SISTEM INFORMASI PERPUSTAKAAN PADA YAYASAN BAKTI BERBASIS WEB

The management of the library at Yayasan Bakti is still conducted manually by a single administrator, covering member registration, book borrowing and returns, as well as fine calculation. This manual process leads to difficulties in data synchronization, risks of data inconsistency, and limited simultaneous access. This study aims to design and develop a web-based library information system th…

IMPLEMENTASI KEBIJAKAN PENYEBARAN INFORMASI KELITBANGAN MELALUI APLIKASI SIST…

This study is entitled “Implementation of the Policy on Dissemination of Research and Development Information through the Research and Development Information System Application (ASIK) in Palembang City.” The background of this research stems from the Palembang City Government’s efforts to realize transparent, effective, and efficient public services through the use of electronic-based in…

PENERAPAN METODE USER CENTERED DESIGN (UCD) DALAM PERANCANGAN SYSTEM REGISTER…

This research aims to design the user interface for the Brimen document loan/return registration application by applying the user centered design (UCD) method at PT. Bank Rakyat Indonesia (Persero), Tbk. Especially the A.rivai Palembang Branch. The design of this desktop application was created because the registration system for borrowing/returning customer documents in the Brimen division is …

PENGEMBANGAN GAME ANDROID PADA ANAK MENGGUNAKAN PENDEKATAN USER CENTERED DESI…

Technology, especially gadgets, has become an integral part of modern life. The use of gadgets among children aged 12-15 years has reached 99.61%. Although potentially addictive, these devices can be beneficial when directed towards positive activities such as learning through educational games. Educational games can help increase users' motivation and abilities. However, their development must…

PERBANDINGAN 1 DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS (1DCNN) DENGAN DECIS…

This research aims to compare two methods, namely 1 Dimension Convolutional Neural Networks (1DCNN) and Decision Tree, in detecting traffic violation rates in the city of Palembang. This study also uses You Only Look Once version 8 (YOLOv8) to count the number of vehicles to be detected based on video recordings, resulting in a model and obtaining an F-1 confidence score of 82%. The 1 Dimension…

ANALISIS PENGGUNAAN DAN PENERIMAAN MEDIA SOSIAL PEMERINTAH PADA MASYARAKAT SU…

Kemudahan penggunaan internet yang dapat diakses kapan saja melalui handphone, laptop, atau tablet dan dapat dibawa kemana saja, membuat media sosial tidak hanya sebagai sarana komunikasi tetapi juga sebagai sarana mencari informasi. Instagram adalah salah satu platform yang mengutamakan visual dengan estetika. Kebanyaan instansi pemerintah yang ada di Indonesia telah memiliki akun Instagram un…

SISTEM KENDALI IKLIM MIKRO PADA GREENHOUSE TENAGA SURYA MELALUI PENDEKATAN NE…

Pertanian cerdas menjadi solusi untuk memenuhi kebutuhan pangan yang terus meningkat meski menghadapi tantangan seperti berkurangnya lahan subur dan menurunnya jumlah petani. Dengan teknologi seperti kendali, sensor, dan aktuator, sistem ini mengurangi beban kerja petani dan tidak memerlukan lahan luas. Di Sumatera Selatan, melimpahnya energi surya mendukung sistem agrivoltaic, terutama di Pale…

DETEKSI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE SUPPORT VECTOR …

Support Vector Machine (SVM) is a machine learning algorithm that falls into the category of supervised learning. SVM works by constructing an optimal hyperplane that separates two classes in a feature space. This hyperplane is chosen in such a way that it has a maximum margin, which is the largest distance between data points from both classes. In addition to the hyperplane, hyperparameters ar…

Public library solutions that connect, engage and evolve

Edition

-

ISBN/ISSN

2477-2720

Collation

37 hlm..; ilus.; 29 cm

Series Title

-

Call Number

025.040 5 Pub p

KORELASI KADAR ANTIBODI ANTI-dsDNA DENGAN DERAJAT AKTIVITAS PENYAKIT PADA PAS…

Systemic lupus erythematosus (SLE) is a systemic autoimmune disease that involves various body systems and produces various autoantibodies. One of the autoantibodies in SLE is anti-double stranded deoxyribonucleic acid (anti-dsDNA) which is found in 70% of patients with SLE. Anti-dsDNA antibody has high specificity so it has been used as an indicator of disease activity. This study aims to dete…

SISTEM INFORMASI PENCATATAN PEMAKAIAN REKENING AIR PADA PERUMDA TIRTA MUSI

In everyday life, people desperately need clean water for their needs. Given the importance of clean water in individual life, the Palembang regional government extablished the Tirta Musi drinking water organization, which participates in clean water management and circulation for the local area, with the full intention of working to assist individual government agencies in Palembang This repor…

HUBUNGAN PARAMETER INFLAMASI HEMATOLOGI DENGAN AKTIVITAS PENYAKIT PASIEN LUPU…

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that affects many organs. Hospital information system data in 2016 has reported 2,166 hospitalized patients with lupus in 858 hospitals and 550 of them died. Evaluation of disease activity is essential to determine appropriate therapy and prevent complications. This study aims to analyze the association of hematological inflamma…