DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) PADA PROTOKOL JARINGAN IEC 61850 SU…
International Electrotechnical Commission (IEC) 61850 is a communications standard designed specifically for electrical substation automation, facilitating interoperability among Intelligent Electr…
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- xv, 112 hlm.; ilus.; tab.; 29 cm.
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- T1702842025
DETEKSI MULTI-CLASS CLASSIFICATION TERHADAP SITUS JUDI ONLINE MENGGUNAKAN MET…
The rapid development of technology and internet access has fostered the widespread activity of online gambling, becoming a global phenomenon. This research aims to classify multi-class detection o…
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- xvi, 97 hlm.; ilus.; tab.; 29 cm.
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- T1769182025
DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) PADA PROTOKOL JARINGAN IEC 61850 SU…
A Man-in-the-Middle (MITM) attack is a security threat in network communication that allows an attacker to intercept and modify data transmitted between two devices. This attack can disrupt SCADA-b…
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- xiv, 86 hlm.; ilus.; tab.; 29 cm.
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- T1768742025
DETEKSI ANOMALI PADA LALU LINTAS JARINGAN VICTIM REVERSE TCP DENGAN METODE GR…
Deteksi anomali pada jaringan merupakan aspek penting dalam keamanan siber. Penelitian ini bertujuan untuk mengevaluasi kinerja model Gradient Boosting dalam mendeteksi anomali pada lalu lintas rev…
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- xiii, 96 hlm.; ilus.; tab.; 29 cm.
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- T1769552025
DETEKSI TROJAN METASPLOIT REVERSE TCP PADA NETWORK TRAFFIC DENGAN METODE K-NE…
Android is one of the most widely used operating systems. Android devices store various personal and sensitive information, which poses significant security risks. One of the major threats is the m…
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- xiv, 103 hlm.; ilus.; tab.; 29 cm.
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- T1764042025
DETEKSI MALWARE TROJAN PADA LALU LINTAS JARINGAN REVERSE TCP DENGAN ALGORITMA…
Malware, short for malicious software, is a type of harmful software designed to damage, steal data from, or disrupt computer systems and networks. One of the most common types of malware is the Tr…
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- ix, 114 hlm.; ilus.; tab.; 29 cm.
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- T1764032025
ANALISIS HUBUNGAN JUMLAH PENUMPANG DAN BUS SEKOLAH DI KOTA JAKARTA PADA TAHUN…
This study aims to identify patterns in the relationship between the number of school buses and the number of school passengers in Jakarta during the 2017–2019 period using an unsupervised learni…
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- xiii, 85 hlm., ilus., tab.; 29 cm
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- T1754412025
PENGGOLONGAN KONDISI TANAH PADA HASIL MONITORING SMART FARMING MENGGUNAKAN AL…
This research aims to develop a model capable of predicting soil condition classification based on datasets obtained from smart farming monitoring devices using the Support Vector Machine (SVM) alg…
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- xv, 94 hlm., ilus., tab.; 29 cm
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- T1754842025
PENGEMBANGAN MODEL REINFORCEMENT LEARNING DENGAN ALGORITMA DEEP Q NETWORK (DQ…
In digital era right now, with the rapid advancement of time, system and network security is very important in the digital communication environment. Machine learning techniques are currently one o…
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- xvii, 190 hlm., ilus., tab.; 29 cm
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- T1753932025
ANALISIS EFEKTIVITAS MULTILAYER PERCEPTRON (MLP) DALAM MENDETEKSI SERANGAN DI…
The Internet of Things (IoT) has brought various conveniences to everyday life, particularly in smart home applications. However, this increased connectivity also heightens the risk of cyber attack…
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- xv, 87 hlm.; ilus.; tab.; 29 cm.
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- T1705632025
SISTEM DETEKSI SERANGAN DISTRIBUTED DENIAL OF SERVICE (DDOS) PADA PERANGKAT S…
The Internet of Things (IoT) has facilitated the automation of household device management through the implementation of smart home concepts. However, the increasing number of connected devices in …
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- xv, 85 hlm.; ilus.; tab.; 29 cm.
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- T1760912025
DETEKSI SERANGAN DDOS PADA SISTEM SMARTHOME DENGAN METODE DEEP LEARNING
The advancement of the Internet of Things (IoT) enables physical devices such as cameras, home doors, televisions, lights, and other household appliances to connect to the internet, forming an inte…
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- xvi, 88 hlm.; ilus.; tab.; 29 cm.
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- T1760552025
DETEKSI SERANGAN DISTRIBUTED DENIAL OF SERVICE (DDOS) PADA PERANGKAT SMARTHOM…
The Internet of Things (IoT) has brought convenience to everyday life, particularly through the implementation of smarthome devices. However, the connectivity of these devices also increases their …
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- xvi, 90 hlm.; ilus.; tab.; 29 cm.
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- T1760562025
DETEKSI SERANGAN DISTRIBUTED DENIAL OF SERVICE (DDOS) PADA SISTEM SMARTHOME M…
The Internet of Things (IoT) offers numerous benefits but also increases security risks, one of which is Distributed Denial of Service (DDoS) attacks. These attacks can cripple Smarthome systems by…
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- xv, 91 hlm.; ilus.; tab.; 29 cm.
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- T1705622025
DETEKSI KEPADATAN KENDARAAN DENGAN PERBANDINGAN ANALISA DATA MEDIA SOSIAL DAN…
This study aims to compare data from two different sources, namely social media data and data from the Electronic Traffic Law Enforcement (ETLE) system, using the K-Nearest Neighbor method, in term…
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- iv, 115 hlm.; ilus.; tab.; 29 cm.
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- T1644202025
DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA JARINGAN SMARTHOME IPV6 MENGGUN…
Denial of Service attacks are a type of attack that can cripple a network system by flooding the target with a large number of request packets, such as ICMPv6 Flood "Echo Request". This attack is h…
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- xiii, 89 hlm.; ilus.; tab.; 29 cm.
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- T1759882025
KLASIFIKASI MALICIOUS URL PADA FILE BERBASIS HOST-BASED FEATURE EXTRACTION ME…
The advancement of technology had led to an increasing variety of attacks or threats targeting internet users. Attacks such as phishing, malware, spyware, and ransomware were the common types that …
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- xiv, 128 hlm.; ilus.; tab.; 29 cm.
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- T1759112025
CLINICAL NAMED ENTITY RECOGNITION PADA DATA BIOMEDIS MENGGUNAKAN PRE-TRAINED …
The rapid growth of digital biomedical data has posed significant challenges in managing and extracting information from unstructured medical texts. This study aims to develop and evaluate a Clinic…
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- xviii, 143 hlm.; ilus.; tab.; 29 cm.
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- T1758112025
CLINICAL NAMED ENTITY RECOGNITION MODEL BERBASIS TRANSFORMER UNTUK DATA BIOMEDIS
Clinical Named Entity Recognition (CNER) is a critical task in natural language processing (NLP) aimed at extracting medical entities from complex biomedical texts. The main challenges in this task…
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- xvii, 155 hlm.; ilus.; tab.; 29 cm.
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- T1758072025
CLINICAL NAMED ENTITY RECOGNITION PADA DATA BIOMEDIS MENGGUNAKAN MODEL BERT
Named Entity Recognition (NER) is one of the key tasks in natural language processing (NLP), especially within the biomedical domain, which is complex and filled with specific terminologies. This r…
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- xviii, 166 hlm.; ilus.; tab.; 29 cm.
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- T1758082025
ANALISA KINERJA INFRASTRUCTURE AS A SERVICE PADA CLOUD COMPUTING DENGAN PEN…
Cloud Computing, particularly Infrastructure as a Service (IaaS), offers high flexibility, cost efficiency, and scalability in managing computing resources. However, fluctuating demands and dynamic…
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- xv, 99 hlm.; ilus.; 29 cm
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- T1631532024
ANALISA TRANSAKSI PADA BLOCKCHAIN DENGAN METODE MACHINE LEARNING
Blockchain offers high security; however, the performance of transactions on this network remains a subject that requires further analysis. Transaction success in blockchain is influenced by variou…
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- xix, 108 hlm.: ilus., tab.; 29 cm
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- T1660552024
ANALISA KEAMANAN PROTOKOL HTTPS DALAM PENGIRIMAN DATA SUPPLY CHAIN MANAGEMENT…
Network security is very important in the increasingly modern era like today, where almost every human activity today requires this, especially the implementation of Warehouse Management Systems wh…
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- xix, 63 hlm.; tab.; 29 cm
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- T1667472025
IMPLEMENTASI METODE FUZZY TSUKAMOTO DALAM SISTEM MANAJEMEN STOK PERGUDANGAN B…
Supply chain management is a series of business processes that connect several actors to increase the added value of products and distribute them to consumers. In reality, there is a problem that o…
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- xv, 90 hlm.: ilus., tab.; 29 cm
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- T1667502024
ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOV8 DENGAN AL…
This research aims to analyse public sentiment towards traffic congestion in Palembang City using YOLOv8 model and Recurrent Neural Network (RNN) algorithm. The background of this research focuses …
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- xiv, 138 hlm.; ilus.; tab.; 29 cm.
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- T1676582025
OPTIMALISASI KLASIFIKASI MULTICLASS SERANGAN SIBER DENGAN ALGORITMA PROXIMAL …
The Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) methods have proven effective in detecting, evaluating, and performing multi-class classification of cyberattacks. This study…
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- xvi, 153 hlm., ilus., tab.; 29 cm
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- T1753242025
DATA ANALISIS KECELAKAAN KERETA API DI INDONESIA MENGGUNAKAN METODE EXPLORATO…
This research discusses train accidents in Indonesia from 2007-2022. With the aim of identifying the factors that cause train accidents in Indonesia, revealing which years Indonesia experienced the…
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- xiv, 55 hlm.; ilus.; tab.; 29 cm.
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- T1690372025
ANALISIS PENGGUNAAN MEDIA SOSIAL SEBAGAI SARANA MEMAKSIMALKAN FUNGSI WEBSITE …
Penggunaan SIPPN oleh masyarakat masih dirasakan belum maksimal, karena keterbatasan sebagian masyarakat dalam menggunakan teknologi informasi. Namun dengan adanya media sosial diharapkan dapat mem…
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- xiv, 60 hlm.; ilus.; tab.; 29 cm.
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- T1685672025
DETEKSI API PADA VIDEO MENGGUNAKAN METODE BACKGROUND SUBTRACTION DAN SEGMENTA…
Fire is one of the natural disasters that cause loss of property. objects and endanger the safety of life. The fire started from a small fire that got bigger, causing the fire to spread. This resea…
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- xi, 73 hlm.; ilus., tab.: 28 cm
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- T399262020
DETEKSI SERANGAN MIRAI DENGAN MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM…
Perkembangan jaringan Internet of Things (IoT) telah membawa dampak signifikan pada berbagai sektor, termasuk transportasi dan pelayanan kesehatan. Namun, lonjakan adopsi IoT juga memunculkan tanta…
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- xv, 63 hlm.; ilus.; tab.; 29 cm.
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- T1651572025
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