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ANALISIS EKSTRAKSI FITUR TIME-FREQUENCY DOMAIN UNTUK DETEKSI INFARK MIOKARD M…
The healthcare industry in Indonesia is rapidly developing, particularly in addressing myocardial infarction (heart attack), a medical emergency that requires prompt detection. Common examinations such as ECG, blood tests, and clinical symptom analysis still rely heavily on manual assessment, which can be time-consuming. As a solution, a Machine Learning (ML)-based approach offers more efficien…
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- xvi, 175 hlm.; ilus.; tab.; 29 cm.
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- T1793362025
PENINGKATAN KINERJA KLASIFIKASI ARITMIA BERBASIS DEEP FEATURES DAN TEACHING-L…
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-Learning-Based Optimization (TLO) for feature selection. The datasets employed include the MIT-BIH Arrhythmia Database, MIT-BIH Normal Sinus Rhythm Database, MIT-BIH Atrial Fibrillation Database, Lobachevs…
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- xiii, 97 hlm.; ilus.; tab.; 29 cm
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- T1786402025
CLINICAL NAMED ENTITY RECOGNITION PADA DATA BIOMEDIS MENGGUNAKAN MODEL BIDIRE…
Advancements in Natural Language Processing (NLP) have improved the extraction of information from unstructured biomedical text, particularly in recognizing clinical named entities like diseases, genes, and proteins. This study evaluates the performance of Bi-LSTM and Bi-LSTM-CRF models for Clinical Named Entity Recognition (CNER) using three benchmark datasets: NCBI-Disease, BC2GM, and JNLPBA.…
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- xvi, 98 hlm.; ilus.; tab.; 29 cm.
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- T1788602025
KLASIKASI SENTIMEN ULASAN PENGGUNA TERHADAP APLIKASI ZALORA DI GOOGLE PLAY ST…
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 klasifikasi sentiment. ini menggunakan jenis penelitian kuantitatif, yang didasarkan pada filsafat positivisme dan menggunakan data konkret dan objektif. Jenis penelitian ini digunakan untuk mempelajari populas…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1784802025
ANALISIS EKSTRAKSI FITUR FREQUENCY DOMAIN UNTUK KLASIFIKASI ABNORMALITAS JANT…
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 Fourier Transform (FFT), using ten features which then the data will be classified using machine learning algorithms, such as SVM, Random Forest, Decision Tree, and K-Nearest Neighbors (KNN). Results s…
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- xvi, 98 hlm.; ilus.; tab.; 29 cm.
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- T1790142025
SEGMENTASI LUBANG DAN SEPTUM JANTUNG PADA ANAK NON-DOPPLER MENGGUNAKAN DEEP L…
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 defects such as Atrial Septal Defect (ASD), Ventricular Septal Defect (VSD), Atrioventricular Septal Defect (AVSD), and normal conditions require accurate detection to ensure proper diagnosis. This study em…
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- xiv, 61 hlm.; ilus.; tab.; 29 cm.
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- T1792892025
SEGMENTASI THORAX JANTUNG JANIN DENGAN MENGGUNAKAN YOU ONLY LOOK ONCE
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-consuming, highlighting the need for an efficient automated solution. This research aims to perform automatic segmentation of fetal thorax and heart areas using You Only Look Once (YOLO) version 8 an…
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1785072025
IMPLEMENTASI ALGORITMA POST-QUANTUM CRYPTOGRAPHY SEBAGAI ENKRIPSI PADA PESAN
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 komunikasi. Sebagai respons terhadap tantangan ini, penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi algoritma NTRU sebagai solusi Post-Quantum Cryptography untuk pengamanan pesan. Hasil …
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- xiii, 104 hlm.; ilus.; tab.; 29 cm.
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- T1783252025
PENGGUNAAN METODE USER EXPERIENCE QUESTIONNAIRE (UEQ) DALAM ANALISIS USER EXP…
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 application developed by Tri Indonesia, serves as a key platform for users to access various services and engaging features. The BIMA+ app holds a rating of 4.6 on Play Store of Android. This study aim…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm
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- T1759522025
IMPLEMENTASI RANDOM FOREST UNTUK DETEKSI KEPADATAN KENDARAAN DAN PREDIKSI RUT…
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 vehicle density and predicting optimal routes. Vehicle number detection is carried out using the YOLOv11 method based on CCTV data at 15 intersections in Palembang City with training results showing an ac…
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- xvii, 64 hlm.; ilus.; tab.; 29 cm.
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- T1787362025
KOMBINASI SEGMENTASI PRE DAN POST IVA UNTUK PENINGKATAN KINERJA DETEKSI LESI …
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…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1785642025
SEGMENTASI LUBANG DAN SEPTUM JANTUNG ANAK NON-DOPPLER DENGAN MENGGUNAKAN YOU …
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…
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- xxii, 549 hlm.; ilus.; tab.; 29 cm.
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- T1786152025
PENINGKATAN KINERJA KLASIFIKASI MULTI KELAS INFARK MIOKARD BERBASIS DEEP LEAR…
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…
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- xxiii, 443 hlm.; ilus.; tab.; 29 cm.
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- T1785632025
PREDIKSI PENGISIAN DAYA POWER SUPPLY DARI SOLAR CELL MENGGUNAKAN ALGORITMA RE…
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…
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- xvi, 98 hlm.; ilus.; tab.; 29 cm.
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- T1787412025
DETEKSI SERANGAN BLACKHOLE PADA JARINGAN 6LOWPAN MENGGUNAKAN METODE PENDETEKS…
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…
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- xvi, 166 hlm.; ilus.; tab.; 29 cm.
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- T1778042025
ANALISIS PENGARUH KNOWLEDGE MANAGEMENT,TALENT MANAGEMENT,DAN STRESS KERJA TER…
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…
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- xi, 93 hlm.; ilus.; 29 cm
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- T1440462024
DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE RANDOM FOREST
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 …
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- xiv, 100 hlm.; ilus.; tab.; 29 cm.
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- T1784742025
ANALISIS PENGARUH KONDISI CUACA DAN JALAN TERHADAP KECELAKAAN LALU LINTAS MEN…
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…
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- xv, 32 hlm.; ilus.; 29 cm
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- T1623352024
IMPLEMENTASI METODE AHP-SAW DALAM PEMILIHAN PROVIDER INTERNET UNTUK MAHASISWA…
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…
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- viii, 72 hlm.; ill.; tab.; 29 cm.
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- T1734912025
ANALISIS SENTIMEN MAHASISWA TERHADAP SISTEM INFORMASI AKADEMIK UNIVERSITAS SR…
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…
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- xiii, 53 hlm.; ill.; tab.; 29 cm.
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- T1734362025
PERANCANGAN APLIKASI PEMANTAUAN KESEHATAN REPRODUKSI BERBASIS MOBILE MENGGU…
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…
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- xv, 32 hlm.; ilus.; 29 cm
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- T1626542024
SISTEM PENGENALAN EKSPRESI CIRI WAJAH MATA DAN HIDUNG MENGGUNAKAN METODE WEIG…
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 …
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- xvii, 127 hlm.; tab.; 29 cm.
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- T1734772025
IMPLEMENTASI METODE WNN IMMEDIATE SCAN UNTUK IDENTIFIKASI MATA DAN HIDUNG PAD…
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…
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- xix, 111 hlm.; ill.; tab.; 29 cm.
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- T1734782025
PERANCANGAN USER INTERFACE WEBSITE WORKSPACE DENGAN METODE DESIGN THINKING PA…
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…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1626332024
PENERAPAN METODE DESIGN THINKING PADA PERANCANGAN USER INTERFACE APLIKASI FIN…
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…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1626432024
DIGITALISASI SISTEM PENCATATAN PENGELOLAAN LIMBAH RUMAH SAKIT XYZ PALEMBANG M…
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…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1625292024
IMPLEMENTASI DATA VISUALIZATION UNTUK SISTEM PREDICTIVE MAINTENANCE DALAM PEN…
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…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1627022024
PENINGKATAN LAYANAN PEMINJAMAN KENDARAAN MELALUI DESIGN THINKING DALAM PERANC…
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…
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- ix, 86 hlm.; ilus.; 29 cm
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- T1626352024
PENGEMBANGAN SISTEM INFORMASI PERSEDIAAN BARANG DI GUDANG IT PT PERTAMINA (PE…
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…
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- xiv, 105 hlm. : ilus. ; tab. ; 28 cm
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- T97922018
OPTIMASI LALU LINTAS KOTA PALEMBANG : ANALISA KEPADATAN KENDARAAN MENGGUNAKAN…
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…
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- viii, 234 hlm.; ilus.; 29 cm
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- T1628542024
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