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ANALISIS SENTIMEN INSTAGRAM DAN FACEBOOK TERHADAP KONDISI LALU LINTAS DI KOTA…
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 total 1.251 data sosial media yang dikumpulkan, sebanyak 719 data dipilih berdasarkan kemunculan kata kunci “macet”, “sedang”, dan “lancar”. Data ini kemudian dibagi menjadi data latih (5…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm.
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- T1793872025
IMPLEMENTASI DECISION TREE DENGAN BAYESIAN OPTIMIZATION UNTUK MENDETEKSI KE…
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 on a combination of Decision Tree (DT) algorithms optimized using Bayesian Optimization (BO) for classifying traffic conditions, and Ant Colony Optimization (ACO) for determining optimal routes. Input…
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- xvii, 64 hlm.; ilus.; tab.; 29 cm.
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- T1801312025
ANALISIS PENGGUNAAN DAN PENERIMAAN MEDIA SOSIAL PEMERINTAH PADA MASYARAKAT PR…
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 Indonesia have Instagram accounts to interact with the public, because Instagram is considered one of the effective social media to disseminate information in optimizing government work systems, and improvi…
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- xiv, 61 hlm.; ilus.; tab.; 29 cm.
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- T1793102025
FAKTOR-FAKTOR SIGNIFIKAN PEMBAYARAN PAJAK KENDARAAN BERMOTOR RODA DUA MELALUI…
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 Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with a quantitative approach. Data were collected through questionnaires and analyzed using the Partial Least Squares Structural Equation…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1796282025
CLINICAL NAMED ENTITY RECOGNITION PADA DATA BIOMEDIS MENGGUNAKAN VARIAN MODEL…
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 trained and evaluated three BERT-based models: BioBERT, Clinical BERT, and BlueBERT, for the task of Clinical Named Entity Recognition (CNER). Model performance was measured using precision, recall, a…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm.
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- T1794732025
SISTEM PENGELOLAAN ADMINISTRASI AKADEMIK KAMPUS MENGGUNAKAN BLOCKCHAIN BERBAS…
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 and document authenticity. This research designs a blockchain-based academic administration system using a Proof-of-Authority (PoA) consensus mechanism to enhance efficiency, transparency, and security…
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- xvii, 117 hlm.; ilus.; tab.; 29 cm.
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- T1802392025
ANALISIS PENGARUH VARIABEL-VARIABEL DALAM METODE TECHNOLOGY ACCEPTANCE MODEL …
The Environmental Complaint Information System (SiPeduli) is a complaint application managed by the Environmental Agency of Palembang City, designed to receive public complaints regarding environmental issues in the city. These issues include environmental cleanliness, illegal waste disposal, hazardous and toxic waste (B3 waste), environmental pollution, and retribution. Complaints submitted by…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm
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- T1800822025
APPLICATION OF THE GAME EXPERIENCE QUESTIONNAIRE AND PLAYER EXPERIENCE OF NEE…
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 multiplayer mode by using the internet and it's free and available everywhere. Understanding player experience in mobile video games is essential for developers and researchers. This research evaluates player …
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1445642024
ANALISIS TINGKAT KEPUASAN PENGGUNA APLIKASI ZALORA DENGAN METODE EUCS
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 from users such as product incompatibility, delays in process updates, and less than optimal application performance. This study aims to evaluate the level of user satisfaction of the Zalora applicat…
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- xxii, 549 hlm.; ilus.; tab.; 29 cm.
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- T1792052025
PENINGKATAN KINERJA KLASIFIKASI ARITMIA PADA SINYAL FETAL ELEKTROKARDIOGRAM B…
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 used are extracted from the time domain of RR intervals obtained during the preprocessing stage. The NIFEA-DB and NIFECG datasets are utilized in this study, with R-peaks extracted using the Heartpy …
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- xxi, 358 hlm.; ilus.; tab.; 29 cm.
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- T1785852025
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
Computer Science, Information & General Works 
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