ANALISIS UNIFORM RANDOM WEIGHT PADA IOTA VISUALIZATION.

IOTA is an innovative open-source distributed ledger technology designed to address the challenges posed by the Internet of Things (IoT) ecosystem. Unlike traditional blockchain architectures, IOTA utilizes a unique data structure known as the Tangle, a directed acyclic graph (DAG), to enable feeless and scalable transactions between IoT devices. This paper provides an in-depth exploration of t…

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…

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…

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…

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…

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…

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 …

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…

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…

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…

PERBANDINGAN HASIL CLUSTER FUZZY C-MEANS DENGAN HYBRID FUZZY C-MEANS PARTICLE…

Algortima Fuzzy C-Means memberi kebebasan dalam hal jumlah cluster yang akan dibuat dan dapat melakukan clustering lebih dari satu variabel secara sekaligus. Pada kondisi awal, pusat cluster ini masih belum akurat. Tiap-tiap data memiliki derajat keanggotaan untuk tiap-tiap cluster. Dengan cara memperbaiki pusat cluster dan nilai keanggotaan tiap-tiap data secara berulang, maka akan dapat dilih…

PENERAPAN DATA MINING DALAM PREDIKSI TINGKAT INDEKS PRESTASI MAHASISWA MENGGU…

The cumulative grade point or GPA is a student's academic achievement score which is calculated from all courses a student has passed. This study aims to design a web-based system that can predict the level of grade point average achieved by students using the SVM method which serves as a supporting material for making decisions about a program related to the level of student GPA. Sriwijaya Uni…

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI MENGGUNAKAN METODE AHP…

It is very important for outstanding students to be directed and guided to get coaching related to the development of each student's personal potential so that superior and quality students are created. The process of selecting outstanding students can get wrong decisions because the process of selecting outstanding students is based on subjectivity, this allows many selected outstanding studen…

PENERAPAN TEKNIK DATA MINING DALAM PREDIKSI MASA TUNGGU MAHASISWA MENGGUNAKAN…

Unemployment is one of the crucial problems faced by Indonesia. Moreover, unemployment for Bachelor and Diploma graduates, which has a large number every year. Based on official data published by the Indonesian Central Bureau of Statistics (CBS), it is recorded that open unemployment for Bachelor and Diploma graduates from 2019 to 2021 has not reached less than 9 hundred thousand people. From t…

PERANKINGAN DAERAH MISKIN DENGAN MENGGUNAKAN ALGORITMA FUZZY LOGIC MODEL TAHANI

As a metropolitan area, the city of Palembang has no escape from the phenomenon of urban poverty. Seberang Ulu 1 Sub-district is included as an area that have high poverty rate in Palembang. Therefore the writer developed a ranking system with Fuzzy Logic Model Tahani that can help KOTAKU program to decide which neighborhood are the most impoverished in Seberang Ulu 1 Sub-district Palembang. Th…

PENERAPAN TEKNIK RANDOM OVERSAMPLING UNTUK MENGATASI IMBALANCED CLASS DATA PA…

Physical fitness is the body's ability to carry out physical activities without causing excessive fatigue, knowing a level of body fitness is useful for determining the right solution to overcome problems related to body fitness. A classification process with machine learning is needed to determine the level of body fitness, one method that is often used is the K-NN method. Classification using…

DOCUMENT RETRIEVAL MENGGUNAKAN VECTOR SPACE MODEL UNTUK INDONESIAN QUESTION A…

Document retrieval merupakan sebuah sistem pencarian dokumen yang bertujuan untuk mengembalikan dokumen yang relevan dengan kueri pengguna. Komponen document retrieval memiliki fungsi yang sama dengan mesin pencari, yaitu mengumpulkan informasi yang diinginkan. Document retrieval merupakan bagian dari Question Answering System yang menggunakan algoritma tf-idf dan perhitungan cosine similarity.…

ENHANCED STACKED PADA LONG SHORT TERM MEMORY UNTUK MENINGKATKAN KEMAMPUAN KLA…

Distributed Denial Of Service (DDoS) attacks are a type of cyber attack against websites. DDoS is marked by the amount of fake traffic that floods the server, system or internet network. As a result, the target website cannot be accessed because it is unable to manage too much traffic entering the server. There are three objectives in this research, including building a Long Shoer Term Memory S…

PENDEKATAN USER EXPERIENCE DALAM PERANCANGAN SISTEM PENERIMAAN PESERTA DIDIK …

New Student Admission (PPDB) is an annual activity carried out by a school to recruit new students. In getting new students, of course, schools want quality students, to get quality students, of course it takes a large number of prospective students so that a strict selection can be made to get quality students. However, to increase the number of prospective students, the advantages of the scho…

Open Source Cloud Computing Systems : Practices and Paradigms

Edition

-

ISBN/ISSN

978-1-4666-0098-0

Collation

245 hlm

Series Title

-

Call Number

005.7 Vaq o

PENGGUNAAN ALGORITMA K-MEANS DALAM KLASTERISASI POTONGAN TANDAN BUAH SEGAR KE…

The process of sorting fresh fruit bunches is the process of selecting palm fruit to be used as Crude Palm Oil (CPO). In the sorting process there are palm fruits that cannot be processed, in this case known as pieces of fresh fruit bunches. Such pieces of fruit consist of unripe fruits, rotten fruits, long petioles, empty bunches, dirt, water and dura. This piece affects the production yield, …

PEMODELAN PROSES BISNIS PERPUSTAKAAN DIGITAL UNIVERSITAS SRIWIJAYA DENGAN PEN…

Sriwijaya university does not have Standard Operating Procedure (SOP) for implementing digital library service management. Standard Operating Procedure is required as a benchmark to see the efficiency of the services provided. Therefore, it is necessary to know how users behave in accessing digital library services, as a standard for implementing digital library service management. This study h…