ANALISA BIG DATA PADA CLUSTER KOMPUTER MENGGUNAKAN KOMPUTASI TERDISTRIBUSI

Along with the development of the era of globalization, the use of technology has been very widespread in various industrial sectors, so data accumulates in a very fast time to grow into large-scale data called big data. The emergence of big data makes the formulation of optimization problems more complicated, because of the large volume and complexity of the data, therefore it is necessary to …

DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP BELI…

In recent years, blockchain technology has found widespread applications across various domains, including cryptocurrency, financial services, and risk management. Cryptocurrency, in particular, has garnered significant attention from investors, regulators, and the media ever since Bitcoin was first proposed by Nakamoto. This research utilizes a Deep Belief Network (DBN) to detect patterns of a…

APLIKASI PENGELOLAAN DATA RAB PADA CV. MULTI MANDIRI BERBASIS WEB

CV. Multi Mandiri is a company engaged in housing development or development. In its activities there are still many obstacles, namely, the transaction process is still ongoing manually, relying on handwritten notes which are prone to errors and the risk of damage and even data loss. The process of preparing the RAB report also takes a long time, because one has to record the RAB data one by on…

DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE LONG SHOR…

The rapid growth and anonymity offered by cryptocurrencies have made them vulnerable to being used for illegal activities. In this study, Long Short-Term Memory (LSTM) neural network is used to identify anomalous transaction patterns in the dataset. The dataset is created by retrieving raw data based on year parameters to extract a subset of the data. These subsets were extracted by writing pyt…

ANALISIS DATA PENELITIAN Menggunakan SPSS

Edition

-

ISBN/ISSN

979-763-314-4

Collation

ix, 250 hlm. ; 22 cm

Series Title

-

Call Number

001.42 Sar a

DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP NEUR…

Blockchain is a digital data bank that stores transaction data transparently. With so much interest in bitcoin, making bitcoin wallets are an attractive target for hackers. This research uses the Deep Neural Network (DNN). The dataset consists of 13 columns, 30,246,808 normal transactions and 1,326 anomalous transactions. The dataset is balanced by oversampling and undersampling techniques. The…

DETEKSI MALICIOUS URL PADA FILE BERBASIS FITUR LEKSIKAL MENGGUNAKAN METODE RA…

With the existence of attack models such as phishing and malware distribution, these actions begin by accessing a Uniform Resource Locator (URL) or files containing harmful links within them. A Uniform Resource Locator (URL) is a specific identifier used to locate resources through the internet. URLs can pose threats to availability, control, confidentiality, and data integrity, with one of the…

IMPLEMENTASI SECURE SOCKET TUNNELING PROTOCOL (SSTP) UNTUK KEAMANAN DATA PADA…

Building a secure socket tunneling protocol method to access port services on the MikroTikrouterboard. Limiting ports that are easy to access remotely on the MikroTikrouterboard. Knowing the steps of the secure socket tunneling protocol Virtual Private Network (VPN) method is one way to protect the exchange of important information data over the internet network, especially by using the Secure …

PENERAPAN LIBRARY PYTORCH3D PADA REKONTRUKSI JARINGAN TRANSVENTRIKULAR CITRA …

The reconstruction of two-dimensional images into three-dimensional using transventricular objects plays a crucial role in the medical field, particularly in the diagnosis and treatment within neurology. This research employs the Pytorch3D method to generate three-dimensional representations of transventricular image objects. The study begins by performing the segmentation process on the transv…

Cyber Security: 19th China Annual Conference, CNCERT 2022, Beijing, China, Au…

This open access book constitutes the refereed proceedings of the 18th China Annual Conference on Cyber Security, CNCERT 2022, held in Beijing, China, in August 2022. The 17 papers presented were carefully reviewed and selected from 64 submissions. The papers are organized according to the following topical sections: ​​data security; anomaly detection; cryptocurrency; information securi…

Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphi…

This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the t…

ANALISIS DATA TIME SERIES UNTUK FORECASTING DATA CYBER ATTACK PADA HONEYPOT M…

Cyber Attack is a crime that attacks computer systems that can shut down or damage information technology services. Every act of attack will have an impact on gaining access to services, manipulating and various dangerous actions. There are various reasons why cyber attacks can occur, one of which is that there is still very little information about the predictability of cyber security. This st…

OPTIMALISASI PERFORMA ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) DALAM PROS…

One of the threats to the internet network is botnet (robot network). although there are many methods used to detect botnet, but there are still less accurate. this can be seen from the results of accuracy, precision and others that differ greatly due to imbalanced datasets. This research examines the classification of botnet attacks and builds the best and accurate CNN model by optimizing the …

Security in Computer and Information Sciences: Second International Symposium…

This open access book constitutes the thoroughly refereed proceedings of the Second International Symposium on Computer and Information Sciences, EuroCybersec 2021, held in Nice, France, in October 2021. The 9 papers presented together with 1 invited paper were carefully reviewed and selected from 21 submissions. The papers focus on topics of security of distributed interconnected systems, sof…

PEMBAHRUAN SISTEM DETEKSI SERANGAN PORTSCAN BERBASIS LSTM DENGAN PENGIMPLEMEN…

Port Scanning attacks are quite dangerous attacks, this technique can map characteristics, detect open ports and even obtain important information on a network or host to then forward to further attacks. In an effort to protect the network security system against PortScan attacks, an attack system such as an Intrusion Detection System (IDS) is needed. The method used in this research is Unidire…

PENGENALAN SUARA KE TEKS MENGGUNAKAN HIDDEN MARKOV MODEL

Learning new words can be difficult, it helps if it’s possible to look up the new word in a dictionary, however, a word in English often sounds alike to another word, therefore a speech to text system can help searching a word in dictionary. The use of Mel-Frequency Cepstral Coefficient in feature extraction and Hidden Markov Model in recognizing speech to text was chosen because MFCC and Hid…

PENDETEKSIAN PENDARAHAN PADA CITRA DIGITAL RADIOLOGI OTAK MANUSIA MENGGUNAKAN…

This research discusses four scenarios in developing a Faster Region-based Convolutional Neural Network (Faster R-CNN) model to detect bleeding in radiological images of the human brain. We specifically tested and compared key parameters, namely learning rate, batch size, backbone architecture, and data sharing, to determine the most effective configuration. The results show that the learning r…

DIAGNOSA INFEKSI SALURAN PERNAPASAN AKUT MENGGUNAKAN ALGORITMA NAIVE BAYES CL…

ARI is a disease that attacks the respiratory tract which can be caused by a viral infection or can also be caused by other diseases or other conditions, under certain conditions ARI can cause complications if not immediately examined and treated. Diagnosing ARI is not easy for the general public. In this case an expert system can help deal with the problem by building a system that people can …

SISTEM REKOMENDASI PAKET CHANNEL TV MENGGUNAKAN ITEM-BASED CLUSTERING HYBRID …

IPTV minipacks are small packages of various additional channels owned by IndiHome. This package can be selected and purchased according to customer needs. currently used traditional methods of analyzing data, can not handle a large amount of data. One method that can be used is the Item-based clustering hybrid method (ICHM). ICHM builds a group of rating matrices based on the attributes of the…

IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR DAN BAYESIAN OPTIMIZATION DALAM MEN…

The increase in the number of vehicles and the urban population has led to high levels of traffic congestion in urban areas. The focus of this research is to find the best alternative routes using various methods and algorithms to detect objects and determine the optimal paths in the city of Palembang. Object detection is carried out using the YOLOv3 method through video recording results, with…

Obstructions in Security-Aware Business Processes: Analysis, Detection, and H…

This Open Access book explores the dilemma-like stalemate between security and regulatory compliance in business processes on the one hand and business continuity and governance on the other. The growing number of regulations, e.g., on information security, data protection, or privacy, implemented in increasingly digitized businesses can have an obstructive effect on the automated execution of …

Foundations of Software Science and Computation Structures: 25th Internationa…

This open access book constitutes the proceedings of the 25th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2022, which was held during April 4-6, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 23 regular papers presented in this volume were carefully reviewed and sele…

Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The N…

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-l…

ANALISIS SENTIMEN TWEET PIALA DUNIA U-20 MENGGUNAKAN METODE LONG SHORT TERM M…

Sentiment analysis is the process of analyzing opinions, sentiments, and so on. The purpose of sentiment analysis is to collect polarity in sentences. What is analyzed are reviews/opinions that are often found on social media, blogs, and many more. One of the most frequently used social media is Twitter. Twitter has many features such as being able to create tweets. Tweets made by users are usu…

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning…

POKOK-POKOK HUKUM ACARA PERDATA

Edition

-

ISBN/ISSN

979-518-890-9

Collation

ix, 248 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

346 Mak p

AUTOMATIC TEXT SUMMARIZATION PADA SINOPSIS LAPORAN KECELAKAAN LALU LINTAS PER…

Automatic text summarizzation merupakan salah satu cabang dalam ilmu natural language processing (NLP) yang memiliki tujuan untuk merepresentasikan suatu teks yang panjang kemudian dikompresi sehingga dapat dibaca dan dipahami dengan mudah oleh pengguna. Penerapan algoritma Term Frequency - Inverse Document Frequency (TF-IDF) dalam automatic text summarization dapat menghitung skor dan bobot da…

HUKUM ACARA PERDATA dalam Teori dan Praktek

Edition

-

ISBN/ISSN

979-538-102-4

Collation

xv, 484 hal.; 22 cm

Series Title

-

Call Number

347 Sut h

KLASIFIKASI RAS MONGOLOID MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Mongoloid is a type of human race that exists in the world. Each mongoloid race has different characteristics and physical traits including eyes, nose, and skin color. This research aims to build a system that can classify mongoloid races from input images. This system uses the Convolutional Neural Network method which then the error results from the classification using the Confusion Matrix ca…

ANALISIS SALURAN PEMASARAN DAN TRANSMISI HARGA TANDAN BUAH SEGAR (TBS) KELAPA…

Babat Baru Village is one of the areas where a large number of residents are engaged in oil palm farming. Farmers in Babat Baru Village are independent smallholders so that in the marketing process of oil palm fresh fruit bunches (FFB) to the Palm Oil Mills (PKS) it is carried out through existing marketing institutions both through collectors and wholesalers this will affect the price that far…