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ANALISA PATH LOSS PREDICTION MENGGUNAKAN PEMODELAN MACHINE LEARNING DAN MODEL…
The prediction of path loss plays a crucial role in the planning and construction of communication technology networks. Path loss itself describes the attenuation that occurs in signals transmitted from the transmitting antenna to the receiving antenna. In this research, the Random Forest machine learning model and the Okumura-Hata propagation model were used to seek accuracy. The objective of …
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- xiii, 64 hlm.; Ilus.; 29 cm
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- T1149652023
ALGORITMA KONSENSUS POET (PROOF OF ELAPSED TIME) DALAM PENGGUNAAN METODE BLOC…
The majority of people at this time are more comfortable shopping through marketplaces available in E-Commerce rather than having to visit the store directly. This has resulted in increased competition in the world of E-Commerce which has an impact on increasing counterfeit transaction. As a result, customer trust in the platform will decrease and create economic and reputational damage for sta…
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- xii, 63 hlm.; Ilus.; 29 cm
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- T917802023
KLASIFIKASI SERANGAN DDOS PADA APACHE SPARK MENGGUNAKAN METODE LONG SHORT TER…
Distributed Denial-of-Service (DDoS) attacks pose a serious threat to computer network infrastructures. Apache Spark, as a popular distributed data processing platform, requires effective methods to classify DDoS attacks on Apache Spark in order to enhance system security. In this research, we propose a classification approach using the Long-Short Term Memory (LSTM) method, data preprocessing w…
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- xiv, 77 hlm.; Ilus.; 29 cm
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- T1278172023
DETEKSI KEPADATAN KENDARAAN PADA PERSIMPANGAN LAMPU LALU LINTAS MENGGUNAKAN M…
Kemacetan lalu lintas diakibatkan oleh ketidakmampuan jalan untuk menangani arus lalu lintas yang datang. Oleh karena itu, dibutuhkan metode untuk mendeteksi jumlah kendaraan pada setiap simpang lalu lintas dan pengendali lampu lalu lintas guna mengurangi kemacetan. Pada penelitian ini akan mengembangkan teknologi sistem yang dapat mengontrol lampu lalu lintas di persimpangan dan menyesuaikan d…
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- xv, 77 hlm.; ilus.; 29 cm
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- T1249612023
KLASIFIKASI SERANGAN DDOS PADA APACHE SPARK MENGGUNAKAN METODE LONG SHORT TER…
Distributed Denial-of-Service (DDoS) attacks pose a serious threat to computer network infrastructures. Apache Spark, as a popular distributed data processing platform, requires effective methods to classify DDoS attacks on Apache Spark in order to enhance system security. In this research, we propose a classification approach using the Long-Short Term Memory (LSTM) method, data preprocessing w…
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- xiv, 77 hlm.; Ilus.; 29 cm
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- T1278172023
ANALISIS MALICIOUS URL PADA FILE MENGGUNAKAN METODE K-MEANS CLUSTERING BERBAS…
The attacks or threats faced by internet users today have various types of attacks. These attacks are attacks in the form of phishing, malware, spyware, and ransomware. One of the most effective means of cyber attack carried out by attackers is by using URLs. URL (Uniform Resource Locator) is an address used to find the location of a file on the Internet. This makes URLs used as a method for ca…
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- xiii, 72 hlm.; ilus.; 29 cm
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- T1024062023
PERANCANGAN SISTEM ABSENSI KARYAWAN BERBASIS APLIKASI ANDROID YANG TERINTEGRA…
Attendance system is an activity carried out in every institution such as offices and education. With this attendance system, it can improve discipline for everyone and for the agency itself. In this attendance system, the problem that often occurs is the problem of collecting attendance data, where the employee attendance system is still using fingerprints or signature forms. This study uses a…
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- viii, 57 hlm.; Ilus.; 29 cm
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- T1063502023
ANALISIS KEBISINGAN MENGGUNAKAN K-NEAREST NEIGHBOR (KNN) DAN ALAT BERBASIS IN…
The use of the Internet of Things (IoT) has been growing, starting from industry, education, to everyday life. Using the concept of the Internet of Things (IoT) can make it easier to solve various kinds of problems that develop in human life. One of the problems is noise, noise can interfere with human activities. Departing from this problem, the Internet of Thing (IoT) concept is used in place…
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- xiii, 57 hlm.; Ilus.; 29 cm
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- T1283752023
SISTEM SMART TRANSPORTATION UNTUK PENENTUAN JALUR TERBAIK DENGAN PERBANDINGAN…
The ever-increasing number of vehicle users makes traffic congestion one of the major problems to be overcome. Services provided by Intelligent Transportation Systems (ITS) can help solve traffic congestion problems. Smart transportation systems are an important part of smart cities by focusing on lane optimization, traffic lights, and congestion detection. The optimal model is obtained using c…
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- xxi, 144 hlm.; Ilus.; cm
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- T1247122023
PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKA…
The system for determining the best path is included in the concept of Smart Transportation where the city that applies the concept is called a Smart City. This study uses the You Only Look Once version 8 (YOLOv8) algorithm to calculate the number of vehicles based on CCTV footage, One Dimensional Convolutional Neural Network optimized with Bayesian Optimization (1DCNN-BO) to predict road densi…
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- xvi, 99 hlm.; Ilus.; 29 cm
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- T1214242023
CLUSTERING DATA RABBITMQ PADA SISTEM BLOCKCHAIN DENGAN METODE K-MEANS
Clutering adalah cara mengklasifikasikan data mentah secara sederhana dan mencari pola tersembunyi yang mungkin terdapat dalam dataset K-means, yakni algoritma pengelompokan tipikal dalam data mining dan banyak digunakan untuk pengelompokkan data dengan jumlah yang besar. Pada Penelitian menggunakan dataset Rabbitmq pada sistem Blockchain yang memiliki 3 Clustering data Rabbitmq yaitu Warning, …
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- xiii, 26 hlm.; Ilus.; 29 cm
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- T1051972023
SIMULASI SISTEM KENDALI LALU LINTAS CERDAS MENGGUNAKAN METODE VEHICULAR AD-HO…
Kepadatan lalu lintas telah menjadi permasalahan umum dalam sistem transportasi, hal tersebut dapat menyebabkan laju kendaraan harus terhenti karena kemacetan akibat kepadatan lalu lintas. Penelitian ini membuat model simulasi dengan menggunakan teknologi Vehicular Ad-Hoc Networks (VANETs) sebagai sistem manajemen lalu lintas yang bertujuan untuk mendukung komunikasi antar kendaraan dengan pert…
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- xv, 76 hlm.; Ilus.; 29 cm
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- T1249682023
LOKALISASI CITRA PRA-KANKER SERVIKS MENGGUNAKAN METODE CONVOLUTIONAL NEURAL N…
The aim of this study is to perform the localization of pre-cervical cancer images using Convolutional Neural Network (CNN) method and guided backpropagation visualization. The pre-cervical cancer image data is evaluated with various CNN models that implement the second type of data augmentation. The research findings show that the CervicoNet model with epoch 200, learning rate 10-3 , and batch…
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- xvi, 74 hlm.; Ilus.; 29 cm
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- T1225442023
ANALISIS SERANGAN DDOS DENGAN MENGGUNAKAN ANOMALY-BASED IDS BERBASIS NETWORK …
DDoS assaults pose a serious threat to enterprises, inflicting damage and disruption, thus improving the speed and accuracy of DDoS detection and mitigation is critical. The combination of Network Behavior Analysis (NBA) with the algorithms K-Nearest Neighbor (KNN) and Naive Bayes (NB) was evaluated to detect DDoS attacks (Distributed Denial of Service). Using the CICDDoS2019 dataset, KNN was f…
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- xii, 73 hlm.; ilus.; 29 cm
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- T918942023
KLASIFIKASI TINGKAT KEPARAHAN PRA KANKER SERVIKS PADA CITRA VIA MENGGUNAKAN CNN
The aim of this study is to classify cervicalpre cancer images using Convolutional Neural Network (CNN) method. The dataset of cervical precancer images was evaluated using various CNN models that implemented data augmentation of the second type. The research findings indicate that the CervicoNet model with 200 epochs, a learning rate of 10-3, and a batch size of 32 achieved the best accuracy o…
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- xiv, 66 hlm.; ilus.; 29 cm
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- T1262222023
KLASIFIKASI SMS MALWARE PADA PLATFORM ANDROID DENGAN METODE SUPPORT VECTOR MA…
Android is the most popular mobile software platform across the globe. The worldwide app downloads reached 352.9 billion in 2021. However, it still faces serious security threats due to its open-source nature. Android is susceptible to various malware variants that are packaged within APK (Android Package Kit) files and have permissions for SMS (Short Message Service). SMS is a technology used …
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- xii, 66 hlm.; ilus.; 29 cm
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- T1233722023
KLASIFIKASI DAN VISUALISASI ENAM KELAS ABNORMALITAS JANTUNG JANIN MENGGUNAKAN…
This study presents and analyzes deep learning techniques to classify abnormalities in fetal heart images. This research compares four convolutional neural network (CNN) architectures to choose the best architecture with satisfactory results, and performs visualization using the Saliency Map method to provide insight regarding the part of the image that plays a role in the classification proces…
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- xvi, 114 hlm.; ilus.; 29 cm
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- T1260212023
ANALISIS TRADING HARGA EMAS DIGITAL MENGGUNAKAN METODE BUY OPEN MARKET (BOM).
ABSTRAK ANALISIS TRADING HARGA EMAS DIGITAL MENGGUNAKAN METODE BUY OPEN MARKET (BOM) Henny Pratiwi (09011281520129) Program Sistem Komputer, Fakultas Ilmu Komputer, Universitas Sriwijaya Email : hpratiwiyunus@gmail.com Perdagangan yang dilakukan secara online menggunakan ilmu teknologi mengenai harga emas digital atau dikenal dengan trading gold online merupakan transaksi jual-beli harga emas d…
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- ix, 40 hlm.; ilus.; 29 cm
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- T759742020
PENERAPAN RANDOM FOREST CLASSIFIER FEATURE PADA METODE NAÏVE BAYES UNTUK MEN…
SQL Injection is a hacking attack that is carried out by abusing the security gaps in the SQL layer on a data-based application, Sql Injections is a serious threat to the security of a website. The data set used in this study is CIC-IDS2018 from the Canadian Institute of Cybersecurity. This study discussed the application of the Random forest classifier on the Naive Bayes method to recognize pa…
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- xiv, 141 hlm.; ilus.; 29 cm
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- T1283882023
PENERAPAN ARSITEKTUR U-NET DAN YOLO V3 DALAM MENDETEKSI OBJEK TRANSVENTRIKULA…
The content is a research summary about the process of examining the contents of the uterus using Ultrasonography (USG) conducted by doctors. USG is a device that utilizes high-frequency sound waves to produce video images used by experts to identify vital objects within the uterus. The resulting USG images are used for this particular research, which utilizes Convolutional Neural Network techn…
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- xv, 138 hlm.; ilus.; 29 cm
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- T1277382023
KLASIFIKASI DAN VISUALISASI ENAM KELAS ABNORMALITAS JANTUNG JANIN MENGGUNAKAN…
This study presents and analyzes deep learning techniques to classify abnormalities in fetal heart images. This research compares four convolutional neural network (CNN) architectures to choose the best architecture with satisfactory results, and performs visualization using the guided backpropagation method to provide insight regarding the part of the image that plays a role in the classificat…
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- xv, 188 hlm.; Ilus.; 29 cm
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- T1218012023
PREDIKSI POLA HENTI JANTUNG BERDASARKAN DELAPAN DATA TANDA VITAL MENGGUNAKAN …
The ability to predict patterns of Cardiac Arrest with high accuracy can significantly contribute to more effective prevention and treatment. This research focuses on predicting patterns of Cardiac Arrest based on eight vital sign data using Recurrent Neural Network (RNN) methods with LSTM and Bi-LSTM architectures. In order to address the issue of imbalanced data, undersampling techniques and …
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- xiv, 71 hlm.; Ilus.; 29 cm
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- T1135692023
DETEKSI OBJEK THALAMI DAN HYPOCAMPAL GYRUS PADA KEPALA JANIN MENGGUNAKAN METO…
Ultrasonography (USG) is a process or procedure in taking an object in a certain part of the body by taking high-frequency sound waves. Objects obtained from ultrasound results will be used in this study. This study uses a Convolutinonal Neural Network (CNN) to detect Transthalamic objects. This study aims to compare the detection results from previous studies using the Faster R-CNN with a new …
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- xvii, 106 hlm.; Ilus.; 29 cm
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- T1283342023
SEGMENTASI SEMANTIK MULTICLASS PADA CITRA PRA-KANKER SERVIKS MENGGUNAKAN DEEP…
Artificial Intelligence (AI) technology in the field of Computer Vision (CV) can be utilized to detect cervical cancer using the Image Segmentation approach. With the advancement of technology, image segmentation processes can be implemented using Deep Learning (DL) models. This research utilizes the U-Net architecture with backbones for pre-cervical cancer semantic image segmentation. There ar…
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- xiii, 69 hlm.; Ilus.; 29 cm
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- T1249632023
PENERAPAN INTRUSION DETECTION SYSTEM DENGAN MENGGUNAKAN GATED RECURRENT UNIT …
Distributed Denial of Service or commonly abbreviated as DDoS is an attack commonly used by hackers to stop legitimate users from accessing certain network services and continue to send traffic to the target system continuously. DDoS attacks are usually carried out in two phases, namely the intuition phase where the attacker makes arrangements to launch the attack by creating a botnet which is …
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- xi, 92 hlm.; ilus.; 29 cm
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- T1277372023
VISUALISASI POLA TRAFIK JARINGAN PADA LAYANAN TELECONFERENCE (ZOOM) DENGAN ME…
Video conferencing is a multimedia communication service that provides simultaneous video, audio and data communication services. Video conferencing is used for long-distance communication that brings together two or more people by utilizing broadband services. Recently, due to the impact of Covid-19, video conferencing services have been widely used by the national and international community.…
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- xv, 40 hlm.; Ilus.; 29 cm
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- T1291672023
ANALISIS STABILITAS PADA SISTEM TRANSAKSI IOTA
The IOTA Tangle is a novel distributed ledger technology designed to address the unique challenges posed by the Internet of Things (IoT) ecosystem. The IOTA Tangle employs a Directed Acyclic Graph (DAG) structure, offering scalability, feelessness, and improved transaction throughput. The stability of transactions within the IOTA Tangle is a critical aspect of its distributed ledger system. As …
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- xvii, 105 hlm.;Ilus.; 29 cm
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- T1261972023
PENERAPAN METODE MIN MAX STOCK UNTUK PENGENDALIAN PERSEDIAAN STOCK BARANG BER…
With the development of information technology regarding supply chain management to control data directly related to information technology, inventory control cannot be successful solely relying on information. A support system is needed to estimate the addition of the number of stock items, so that the stock items can be more aligned with the sales of goods. Supply chain management includes co…
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- vi, 109 hlm.; ilus.; 29 cm
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- T1230682023
SISTEM DETEKSI OBJEK BAWAH AIR PADA AUTONOMOUS UNDERWATER VEHICLE (AUV) DENGA…
The camera basically has the same characteristics as the human sense of sight (eye) "the eye will only capture the object in the direction where the eye is facing". The point of view of a conventional camera will also only be able to capture the object in front of it. The object detection system with the AUV robot will adjust the motor movement. This camera is shaped like a cable that is attach…
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- v, 26 hlm.; Ilus.; 29 cm
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- T706082020
KLASIFIKASI PENYAKIT JANTUNG BERBASIS CONVOLUTIONAL NEURAL NETWORK MENGGUNAKA…
Heart disease is one of the leading causes of death worldwide and can be identified based on the patterns of electrical activity in the heart using an Electrocardiogram (ECG). The importance of early detection and classification of heart disease has led to the use of innovative methods, such as Convolutional Neural Networks (CNN). The PTB-XL ECG data has been processed and prepared to train and…
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- xvi, 100 hlm.; Ilus.; 29 cm
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- T1262232023
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