ANALISIS FAKTOR-FAKTOR PENERIMAAN E-WALLET MENGGUNAKAN METODE UNIFIED THEORY …

Technology is currently developing very quickly, one of which is the payment transaction system. The transaction service that people use to make payments is ShopeePay. Based on the results of a survey from InsightAsia entitled Consistency That Leads: E-wallet Industry Outlook 2023, the research shows the results that ShopeePay is in fourth place for e-wallet applications that are widely used in…

PENERAPAN BLOCKCHAIN UNTUK MENGAMANKAN DATA PADA SISTEM SMART HOME.

The technology of the Internet of Things (IoT) has become an essential part of modern life, and its applications in various industries, including smart homes, are rapidly increasing. However, the security of smart homes has become a major concern due to their vulnerability to information theft, activity monitoring, data tampering, and information attacks. In this study, the author proposes a bl…

VISUALISASI SERANGAN UDP FLOOD PADA LAYANAN INTERNET OF THINGS (IOT) MENGGUNA…

The Internet of Things (IoT) is a system for accumulating and transferring data on a physical device that is interconnected to the internet network in order to communicate with each other between devices with any destination the user wants, so that the system will not infrequently escaped from the threat of cyber attacks such as Denial of Service (DoS) UDP floods that could reduce the performan…

KLASIFIKASI DAN VISUALISASI ENAM KELAS ABNORMALITAS JANTUNG JANIN MENGGUNAKAN…

The use of Artificial Intelligence (AI) technology in healthcare has brought significant changes in recent years, particularly in disease diagnosis. Deep learning is a popular AI technique used in various fields, including healthcare, due to its ability to process complex data and recognize patterns that are difficult for humans to identify, potentially aiding in disease diagnosis. The methods …

SEGMENTASI RUANG JANTUNG JANIN MENGGUNAKAN METODE YOLACT.

ABSTRACT Ultrasonography (USG) is a non-invasive medical procedure that uses high-frequency sound waves to produce pictures of the internal organs of the human body. This procedure can be used to examine various parts of the body, including the fetal heart. One technique for ultrasound examination of the fetal heart is through a four-chamber view which can help identify abnormalities in the fet…

ANALISIS KEPUASAN KONSUMEN COFFEE SHOP KOPILOKA SERTA IMPLIKASINYA TERHADAP B…

Coffee Shop Kopiloka is one of the Coffee Shops that was established in 2017 at Palembang City, by offering coffee typical of South Sumatra Province with a comfortable and authentic atmosphere for coffee connoisseurs. Over time, in 2018 – 2019 the increase in the number of Coffee Shops in Palembang City grew so rapidly. More and more Coffee Shops are offering more modern facilities and places…

MULTIVARIATE IMPUTATION TANDA VITAL PASIEN UNIT PERAWATAN INTENSIF MENGGUNAKA…

Missing data is a common problem in vital sign datasets and is one of the most complex topics in computer science. The large number of missing values in the data makes it more difficult to process. Therefore, one way to address missing data is through imputation. Vital sign data imputation is the process of filling in missing or incomplete data in a patient's medical records. Machine learning f…

ANALISIS PERBANDINGAN DETECTION TRAFFIC ANOMALY SERANGAN DDoS IPv4 DENGAN MET…

Anomaly traffic is a condition that results in an abnormality in network traffic. Anomaly detections is a monitoring to monitor the movement that occurs in the network system. DDoS attack or Distributed Denial of Service is a cyber attack by continuously sending fake traffic to a system or server. As a result, the server cannot manage all traffic, causing it to go down. In this research, traffi…

Cyber Security: 18th China Annual Conference, CNCERT 2021, Beijing, China, Ju…

This open access book constitutes the refereed proceedings of the 17th International Annual Conference on Cyber Security, CNCERT 2021, held in Beijing, China, in AJuly 2021. The 14 papers presented were carefully reviewed and selected from 51 submissions. The papers are organized according to the following topical sections: ​data security; privacy protection; anomaly detection; traffic an…

Mobile Forensics – The File Format Handbook: Common File Formats and File S…

This open access book summarizes knowledge about several file systems and file formats commonly used in mobile devices. In addition to the fundamental description of the formats, there are hints about the forensic value of possible artefacts, along with an outline of tools that can decode the relevant data. The book is organized into two distinct parts: Part I describes several different …

Silicon Valley Cybersecurity Conference: Third Conference, SVCC 2022, Virtual…

This open access book constitutes refereed proceedings of the Third Conference on Silicon Valley Cybersecurity Conference, SVCC 2022, held as virtual event, in August 17–19, 2022. The 8 full papers included in this book were carefully reviewed and selected from 10 submissions. The contributions are divided into the following thematic blocks: Malware Analysis; Blockchain and Smart Contracts…

PENGANTAR BASIS DATA

Edition

-

ISBN/ISSN

978-602-8016-24-7

Collation

iii + 124 hlm .; ilus : 21 cm

Series Title

-

Call Number

005.74 Wid p

SISTEM KOMPUTER AKUNTANSI: INVENTORY

Edition

-

ISBN/ISSN

-

Collation

x, 117 hlm. ; 23 cm.

Series Title

-

Call Number

001.642 5 Pra s

PENERAPAN SISTEM PENENTUAN POSISI DALAM RUANGAN MENGGUNAKAN METODE FINGERPRIN…

Recently, wireless communication is growing rapidly, due to its practicality and the many features that have been developed along with current technological developments, especially features that can determine the position of subjects and objects using wireless methods such as Global Positioning System (GPS) and Location Based Services (LBS). This is an attraction because of its ease of use as …

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…