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ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI INFO BMKG DENGAN METODE SUPPORT VE…
The advancement of information technology has driven the development of various mobile applications that facilitate the public in accessing information. One of the important applications in Indonesia is Info BMKG, which provides information related to weather, earthquakes, and climate from the Meteorology, Climatology, and Geophysics Agency (BMKG). Given its vital function, user reviews of this…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1797892025
DETEKSI PELANGGARAN KENDARAAN MELAWAN ARUS LALU LINTAS DI JALAN KOTA PALEMBAN…
Pelanggaran lalu lintas, khususnya pelanggaran melawan arus lalu lintas, merupakan permasalahan yang sering terjadi di kota besar seperti Palembang dan berpotensi menyebabkan kecelakaan lalu lintas. Penelitian ini bertujuan untuk mendeteksi kendaraan yang melakukan pelanggaran melawan arus lalu lintas serta mengukur tingkat pelanggaran berdasarkan data hasil deteksi. Proses deteksi objek kendar…
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- xiii, 97 hlm.; ilus.; tab.; 29 cm.
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- T1800212025
DETEKSI PELANGGARAN MELAWAN ARUS LALU LINTAS MENGGUNAKAN ALGORITMA SUPPORT VE…
This research aims to develop an anti-traffic violation detection system by utilizing a combination of YOLOV8 algorithm used to detect vehicles from traffic video footage and SVM used to classify the violation level into three categories: low, medium, and high. The dataset used consists of 7,412 vehicle images for the YOLO model. For SVM, a reference table of 160 rows will be provided as traini…
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- xxiii, 443 hlm.; ilus.; tab.; 29 cm.
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- T1800202025
EVALUASI USER EXPERIENCE PADA WEBSITE DIGITAL LIBRARY UNIVERSITAS SRIWIJAYA M…
The development of information technology has driven the transformation of library services toward digital platforms, one of which is the Digital Library Universitas Sriwijaya website. This service is designed to provide fast, easy, and flexible access to academic resources. However, the success of digital services is not solely determined by the completeness of the content but also by the user…
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- xiii, 104 hlm.; ilus.; tab.; 29 cm.
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- T1800792025
DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE RANDOM FOREST
The development of Internet of Things (IoT) technology has led to the widespread adoption of smart home devices. However, their connection to the internet also makes them vulnerable to cyberattacks, particularly Distributed Denial of Service (DDoS) attacks. This study aims to implement and evaluate the Random Forest algorithm in detecting DDoS attacks on smart home network environments. The dat…
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- xxii, 549 hlm.; ilus.; tab.; 29 cm.
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- T1831382025
EVALUASI PENGALAMAN PENGGUNA DOMPET DIGITAL OVO MENGGUNAKAN MECUE QUESTIONNAI…
Based on a survey conducted by Insight Asia (2023) and reported through databoks.katadata.co.id, one of the most widely used digital wallet applications by Indonesians is OVO (70%), Dana (61%), ShopeePay (60%), and LinkAja! (27%). Although OVO is one of the digital wallet apps with the largest number of users in Indonesia, it has received a fairly low rating and some negative reviews on the Goo…
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- xiii, 48 hlm. : ilus. ; tab. ; 29 cm
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- T1732212025
DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE NAÏVE BAYES
The rapid development of smart home technology presents new challenges in terms of cybersecurity, particularly against Distributed Denial of Service (DDoS) attacks. This study aims to detect DDoS attacks in smart home networks using the Naïve Bayes algorithm. The dataset used is the COMNETS SMARTHOME dataset in .pcap format, which was converted to .csv using CiCFlowMeter on a Windows environme…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1832432025
DETEKSI ANCAMAN URL BERBAHAYA BERBASIS EMBEDDING FEATURE EXTRACTION MENGGUNAK…
Malicious URLs are often used in cyber attacks, especially in an attempt to steal sensitive information, spread malware or commit online fraud. Cybercriminals will usually spread these attacks through fake advertisements, email spam and various other ways to attract victims' attention. There are various ways to prevent these attacks from continuing to occur. This research proposes an innovative…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1831722025
PREDIKSI INFLASI HARGA PANGAN MENGGUNAKAN PENDEKATAN MACHINE LEARNING BERBASI…
Food price inflation is an important economic indicator that can affect the social and economic stability of a country. This study aims to develop a model for predicting food price inflation in Indonesia using a machine learning approach based on multivariate time series. The data used includes monthly inflation variables as well as market price index data such as opening (open), highest (high)…
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- xvi, 125 hlm.; ilus.; tab.; 29 cm.
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- T1831622025
PREDIKSI SISTEM AUTO-SCALING PADA CLOUD PRIVATE MENGGUNAKAN METODE AUTOREGRES…
Cloud computing offers flexibility in managing IT resources, particularly through auto-scaling mechanisms that automatically adjust capacity based on workload. In private cloud environments, auto-scaling plays a crucial role in maintaining service availability while minimizing resource waste. However, its effectiveness relies heavily on the system’s ability to accurately predict future worklo…
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- xvi, 175 hlm.; ilus.; tab.; 29 cm.
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- T1831632025
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
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