KLASIFIKASI LUKA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK PADA APLIKAS…

A wound is damage that occurs to body tissue. Effective wound treatment requires a quick initial diagnosis, but often the process of manual wound diagnosis by medical personnel is not always efficient and takes quite a long time. In this research, the author developed an application to classify types of wounds using the Convolutional Neural Network (CNN) method and the Inception V3 model in a m…

KLASIFIKASI GAMBAR JENIS JAMUR DENGAN METODE CONVOLUTIONAL NEURAL NETWORK

Indonesia is a country rich in mushrooms diversity. According to data from the 2015 Indonesia Biodiversity and Action Plan, there are around 86,000 types of macro and micro mushrooms in Indonesia out of 1.5 million fungal species worldwide. This number is only about 6% of the total types of mushrooms worldwide that are found in Indonesia. This classification of mushroom types can be useful for …

IMPLEMENTASI BOT MONITORING PADA PERANGKAT ROUTER JARINGAN SOHO ( SMALL OFFIC…

Network monitoring is the process of monitoring any changes that occur on the network by knowing whether a device connected to the network is functioning or not, if there is a disturbance it will reduce the performance of the infrastructure of the network. This router monitoring aims to build a system to monitor SOHO (Small Office Home Office) router networks using instant messaging bots by sen…

KLASIFIKASI SERANGAN DDOS PADA JARINGAN IOT DENGAN MENGGUNAKAN ALGORITMA K-NE…

In recent years, Internet of Things (IoT) sensors have become increasingly integrated into various devices and fields. Therefore, the security of IoT sensors is becoming more vulnerable to attacks. In this research, the K-Nearest Neighbors (KNN) algorithm is employed to classify attacks in the dataset. The dataset is obtained from interactions between DDos attacks and normal interactions, and i…

IMPLEMENTASI JARINGAN MESH PADA ESP32 SEBAGAI TRANSMISI DATA IOT

Internet of Things (IoT) is a concept that allows humans to make every job easier. With the presence of this concept, it can bring the development of advanced human civilization. The need for a system that can optimize data transmission on IoT devices has become an important requirement. There are many types of topologies that can be applied, but in the author's research this time, the topology…

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…

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 …

PENGENALAN OBJEK SECARA REAL TIME MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS M…

Object recognition is a technology related to Computer Vision which can detect and recognize objects in digital images. However, the process of detecting and recognizing objects is something that is very difficult to do by a computer due to the many factors that can affect the shape of the object in a digital image. In this study, researchers will discuss object recognition in real time using c…

KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Classification of traffic signs is considered as one of the most important parts of the Advance Driver Assistance System (ADAS) with the main objective of reducing the number of road accidents and overcoming wrong route selection. Convolutional Neural Network (CNN) is a type of neural network that is commonly used in image data. CNN can be used to recognize and detect objects in an image. Image…

PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKA…

Magnetic resonance imaging (MRI) images often contain noise, for example in brain imaging. The noise removal algorithm used is Convolutional Autoencoder Network (CAN) which produces a superior noise reduction effect compared to some other advanced algorithms. This research uses a dataset from Kaggle that contains 253 brain MRI images. The noise removal results using CAN on images with Gaussian …

PERANCANGAN SISTEM PENCAMPUR AIR, BUBUK KOPI, DAN GULA PADA MESIN PEMBUAT KOP…

The development of increasingly sophisticated technology demands sophistication in all things, without exception, including in serving food and drinks in fast food restaurants. Coffee is one of the drinks that many Indonesians like. The distinctive aroma and taste packaged by coffee make the opium connoisseurs addicted so they want to taste it again, moreover enjoying a cup of coffee is very at…

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…

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…

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…

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…

PENGENDALI KIPAS ANGIN DENGAN GOOGLE ASSISTANT BERBASIS INTERNET OF THINGS (IoT)

Kipas angin adalah salah satu perangkat pendingin yang umum digunakan di rumah,kantor, dan tempat lainnya. Di era digital saat ini, integrasi perangkat elektronik dengan teknologi Internet of Things (IoT) telah memungkinkan otomatisasi dan pengendalian jarak jauh perangkat seperti kipas angin. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pengendalian kipas angin dengan menggunakan…

SISTEM PAKAR DIAGNOSA AWAL TAHAPAN STRES PADA REMAJA MENGGUNAKAN METODE FORWA…

Learning as if internally and externally done, as well as extracurricular activities carried out by High School (SHS) students are the main triggers for stress, so their physically and mentally exhausted. In developing a system that will help students with stress problems, the method used is the ForwardChaining and Naive Bayes method. Forward Chaining research is to quickly determine stress lev…

OPTIMALISASI TEKNIK KLASIFIKASI SERANGAN BOTNET DENGAN MENGGUNAKAN SELEKSI FI…

A botnet consists of a group of interconnected software programs that communicate with each other via the internet to perform designated functions. This software is programmed to operate automatically in the network. A botnet driver, also known as a bot master, remotely controls each computer that is part of a botnet network. Therefore, it can be concluded that if a computer is infected with a …

ANALISIS TINGKAT KEPUASAN MASYARAKAT TERHADAP KUALITAS PELAYANAN DI PENGADILA…

Pengadilan Tinggi Palembang yang merupakan instansi pemerintah dituntut untuk memenuhi harapan masyarakat dalam melakukan pelayanan. Sejak akhir Tahun 2022, Pengadilan Tinggi mengalami penurunan pengunjung yang cukup signifikan..Berdasarkan hasil observasi, masih ditemukan bahwa beberapa pengunjung mengeluhkan bahwa pelayanan yang diberikan kurang memuaskan. Contohnya jam kerja yang seharusnya …

PENGENALAN PLAT NOMOR KENDARAAN MENGGUNAKAN DEEP LEARNING BERDASARKAN CITRA B…

Vehicle License Plate Pattern Recognition is a critical component in traffic monitoring systems, parking security, and various other applications. In this research, we propose a vehicle license plate pattern recognition system that combines YOLOv7 (You Only Look Once version 7) as an object detector and TesseractOCR as a text character recognizer. Under these conditions, researchers developed s…

MEMBANGUN SISTEM JARINGAN KOMPUTER

Edition

1

ISBN/ISSN

978-979-29-0998-2

Collation

x, 230 hlm; ilus.23 cm

Series Title

-

Call Number

004.6 Mad m

VISUALISASI HASIL MONITORING DAN EVALUASI USER AKSES INTERNET DI FASILKOM UNSRI

Internet networks have become a vital infrastructure of modern life, connecting devices around the world. The internet enables information exchange, communication and access to digital resources globally. However, internet networks also face a number of issues that need attention. Network analysis is needed in monitoring internet networks that have busy internet activity and extensive communica…

KLASIFIKASI JENIS LAHAN MENGGUNAKAN CNN BERBASISKAN CITRA SATELIT

Remote sensing is a useful technique for mapping and monitoring geographic areas. Land classification based on satellite imagery is one of the applications of remote sensing. Classifying images manually requires a lot of time and effort. The CNN method can be used to automate the image classification process. However, with various CNN architectures that have been found, it is necessary to condu…

KLASIFIKASI SERANGAN MAN IN THE MIDDLE (MITM) PADA PROTOKOL JARINGAN SCADA(IE…

Cyber attacks on SCADA systems are becoming an increasingly worrying threat. Because they have security holes and attackers can weaken the Intrusion Detection System (IDS) security sensors, especially the Man In The Middle attack which was found attack the IEC 60780-5-104 protocol, which modifies data packets payload M_ME_NB_1 IOA=1 on the An Open Framework for Deploying Experimental SCADA Tes…

KLASIFIKASI SERANGAN UDP FLOOD PADA JARINGAN INTERNET OF THINGS (IOT) MENGGUN…

The Internet of things (IoT) is a network that can connect any device to the internet. Denial of Service (DoS) attacks on IoT use reasonable service requests to gain excessive processing and network resources and prevent legitimate users from accessing them. One of the Denial of Service attacks is the User Datagram Protocol (UDP) which is a common form of Denial of Service (DoS) attack, where i…

PERBAIKAN KUALITAS PADA CITRA GELAP MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK …

Citra gelap atau yang berkontras rendah serta citra yang memiliki objek tidak jelas menyebabkan objek pada citra sulit diidentifikasi baik secara sistem ataupun oleh pengamat. Dalam penelitian ini dilakukan perbaikan citra menggunakan metode Convolutional Neural Network (CNN). Berdasarka hasil penelitian ini menunjukkan hasil yang dikeluarkan oleh sistem tersebut berupa gambar yang sudah diperb…

EFEK JARINGAN RELAY SEDERHANA TERHADAP JARINGAN BITCOIN

Bitcoin has a low transaction throughput. Shortening the block interval is important to improving output. However, it is still difficult to simply shorten the block interval because the interval is set as the critical time for a block to be spread out sufficiently in the network. In addition, shorter block intervals can lead to more orphan blocks. The utilization of relay networks is one way to…

KLASIFIKASI AUTHOR MATCHING PADA DATA BIBLIOGRAFI MENGGUNAKAN METODE RECURREN…

In bibliographic data analysis, accurate author matching is crucial for various applications such as citation analysis and research profiling. This research focuses on the classification of author matching in bibliographic data using RNNs method. By leveraging the power of RNNs, the authors aim to improve the accuracy of author matching classification in two specific scenarios: homonym and syno…

BUKU PINTAR LINUX; Membangun Jaringan Diskless Berbasis Linux; Panduan prakti…

Edition

-

ISBN/ISSN

979-20-3366-1

Collation

vii, 179 hlm

Series Title

-

Call Number

004.65 Ind b

Jaringan KOMPUTER Berbasis LINUX

Edition

-

ISBN/ISSN

979-20-2547-2

Collation

xiv, 292 hlm

Series Title

-

Call Number

004.65 Sem j