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PENENTUAN JALUR TERBAIK MENGGUNAKAN ALGORITMA GLOWWORM SWARM OPTIMIZATION BER…
In the application of Artificial Intelligence to determine the best route as a means to alleviate traffic congestion in the city of Palembang, the author uses the Glowworm Swarm Optimization (GSO) algorithm. Then, to determine road density conditions based on reference tables from CCTV video recordings, the author uses the One Dimensional Convolutional Neural Network (1DCNN) algorithm. The purp…
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- xvii, 82 hlm.; ilus.; tab.; 29 cm
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- T1464912024
PERBANDINGAN KINERJA KLASIFIKASI ABNORMALITAS JANTUNG JANIN DENGAN MENGGUNAKA…
The use of Artificial Intelligence Technology in the field of Computer Vision has enabled the classification of fetal heart abnormalities by utilizing one of the Classification approaches. With technological advances, the image classification process can be implemented using Deep Learning (DL) models. This research uses the architecture of 10 Convolutional Neural Network Architectures for the F…
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- xii, 322 hlm.; Ilus.; 29 cm
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- T1255862023
KLASIFIKASI MULTICLASS SINYAL ELEKTROKARDIOGRAM BERBASIS DEEP LEARNING MENGGU…
The use of Deep Learning (DL) models in signal processing aims to improve efficiency and effectiveness in extracting information from available data. This research aims to classify heart disease classes in a dataset of medical signals derived from Electrocardiograms. In this study, classification is performed on three heart disease classes: Normal, AF, and AFL. The method used in this research …
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- xiv, 50 hlm.; ilus.; 29 cm
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- T1158442023
ANALISA DATA KECELAKAAN PESAWAT DI INDONESIA BERDASARKAN SERTIFIKASI OPERATOR…
Indonesia adalah negara kepulauan dimana transportasi udara menjadi salah satu alternatif yang cepat,efisien dan juga ekonomis bagi pengangkutan antar pulau atau daerah. Berdasarkan data Komite Nasional Keselamatan Transportasi (KNKT) menyatakan bahwa kasus kecelakaan 32% terjadi di bandar udara. Oleh karna itu pemerintah mewajibkan setiap pihak operator penerbangan untuk menjalani suatu proses…
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- xii, 56 hlm.; ilus.; 29 cm
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- T1281402023
REKONSTRUKSI CITRA ULTRASONOGRAFI TRANSCEREBELLAR 2 DIMENSI MENJADI TRANSCERE…
Reconstruction of two-dimensional transcerebellar images into three�dimensional transcerebellar has an important role in diagnosis and treatment planning in neurology. This study proposes the 3D-FHNet method to produce an accurate three-dimensional representation of transcerebellar images. The study began with segmentation of transcerebellar objects on well-labeled ultrasound datasets. The se…
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- xvi, 61 hlm.; Ilus.; 29 cm
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- T1249652023
PENERAPAN SMART TRANSPORTATION PADA SMART CITY UNTUK MENENTUKAN RUTE TERBAIK …
In this study using the You Only Look Once Version 8 (YOLOv8) algorithm to detect and count the number of vehicles based on CCTV recordings, The Recurrent Neural Network (RNN) method optimized with Grid Search (GS) is used to predict road density conditions so as to get smooth, medium, congested output, and to determine the best route using the A-Star algorithm. This study uses a dataset of veh…
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- xvi, 118 hlm.; Ilus.; 29 cm
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- T1217862023
PENGOLAHAN CITRA TRANSCEREBELLAR PADA KEPALA JANIN DARI CITRA ULTRASONOGRAFI …
Ultrasonography (USG) is an electronic technology that uses sound waves with high frequencies above 20,000 hertz to produce images of the structure of organs in the body. Ultrasound is usually used by doctors to detect the contents of pregnant women. However, the inspection process takes a long time and requires special expertise. This is a challenge, especially to detect objects that are insid…
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- xixx, 140 hlm.; Ilus.; 29 cm
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- T1262692023
PENENTUAN JALUR TERBAIK DENGAN MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK D…
Traffic congestion in Indonesia remains a complex and unresolved issue. With the advancement of Artificial Intelligence (AI), Machine Learning, and Optimization, there has been a recent innovation to address this traffic problem. This innovation involves determining optimal routes by harnessing these advanced technologies. Artificial Intelligence (AI), Machine Learning, and Optimization technol…
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- xvii, 111 hlm.; Ilus.; 29 cm
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- T1291082023
MODEL KEPUTUSAN CERDAS DALAM MENENTUKAN JALUR TERBAIK TRANSPORTASI PADA SMART…
This research analyzes various methods and algorithms in the context of object detection and optimal route determination in vehicle traffic in the city of Palembang, as a step towards developing the concept of a smart city. The YOLOv3 method is employed to detect vehicles in video recordings, yielding an accuracy ranging from 72.72% to 79.35% for the categories of motorcycles and cars. The over…
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- xv, 102 hlm.; Ilus.; 29 cm
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- T1287742023
PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKA…
The best route determining system is part of the Intelligent Transportation concept where cities that implement this concept are called Smart Cities. The study used an object detection system called You Only Look Once version 8 (YOLOv8) to detect and calculate the number of vehicles based on CCTV recordings. In addition, it uses Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) o…
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- xvii, 183 hlm.; Ilus.; 29 cm
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- T1214442023
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
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