KLASIFIKASI SERANGAN SPYWARE DENGAN MENGGUNAKAN METODE DECISION TREE

Spyware is a type of malicious software that can collect information about a person or organization without permission. Typically, spyware is installed accidentally through malware or downloaded fr…

KLASIFIKASI TRAFFIC ANONYMOUS THE ONION ROUTE DENGAN METODE K-NEAREST NEIGHBO…

Penelitian ini bertujuan untuk mengembangkan model klasifikasi yang akurat untuk mengidentifikasi dan mengkategorikan lalu lintas anonim pada jaringan Tor. Dataset yang digunakan adalah CIC-Darknet…

DETEKSI POLA AKSES JUDI ONLINE BERBASIS PROTOCOL SSL/TLS BY SNI MENGGUNAKAN M…

Perkembangan teknologi internet yang pesat telah menyebabkan meningkatnya aktivitas judi online yang berpotensi mengancam keamanan data dan ketertiban digital. Penelitian ini bertujuan untuk mendet…

IMPLEMENTASI DAN ANALISIS DYNAMIC TRAFFIC MANAGEMENT DENGAN PARAMETER QUALITY…

This study examines the implementation and analysis of Dynamic Traffic Management on Software Defined Network (SDN) networks with performance assessment through Quality of Service (QoS) parameters …

DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE…

The development of the Internet of Things (IoT) has brought convenience to human life through the smart home concept, which enables various devices to be interconnected and controlled automatically…

DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE RAN…

The development of smart home technology enables users to control and monitor household devices automatically through the Internet of Things (IoT). However, this high connectivity also increases th…

ANALISIS SENTIMEN INSTAGRAM DAN FACEBOOK TERHADAP KONDISI LALU LINTAS DI KOTA…

Penelitian ini bertujuan membangun model klasifikasi kondisi lalu lintas menggunakan data dari sosial media (Instagram dan Facebook) serta data ETLE dengan arsitektur Long Short-Term Memory (LSTM).…

IMPLEMENTASI METODE YOU ONLY LOOK ONCE (YOLOV8) DALAM MENDETEKSI ACNE VULGARIS

This study aims to implement the You Only Look Once (YOLOv8) method for detecting acne in acne vulgaris images. Automatic detection of acne types is essential to support rapid, accurate, and effici…

DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME DENGAN METODE MACHINE …

The rapid growth of Internet of Things (IoT) devices in smart home environments increases convenience but also introduces various network security threats, such as Distributed Denial of Service (DD…

IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK MENDETEKSI KEMAC…

This study developed the YOLOv8 model to detect five object classes, with training results showing an accuracy of 95%, an f-1 score of 89%, and mAP@0.5 of 93.1%. In the testing phase, the model ach…

IMPLEMENTASI DEEP LEARNING UNTUK KLASIFIKASI PENYAKIT MATA DENGAN STUDI PERBA…

Retinal image based eye disease classification is an important approach to support automated diagnosis in the medical field. This study aims to classify four types of eye diseases normal, cataract,…

DETEKSI SERANGAN MALWARE APK REVERSE TCP MENGGUNAKAN METODE ANN (ARTIFICIAL N…

The increasing use of Android devices has also led to the rise of security threats, one of which is the Reverse TCP attack technique that enables unauthorized remote access to victim devices. This …

ANALISIS PERFORMA NETWORK AUTOMATION ENGINE PADA CLUSTER SERVER MENGGUNAKAN M…

The advancement of network technology drives the need for configuration automation in server infrastructure, especially within complex cluster server environments. This study aims to analyze and co…

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA SMALL BOARD COMPUTER DENGAN…

Android malware threats using reverse TCP techniques are increasing and require effective detection methods. This study develops a detection systemusing the Naïve Bayes algorithm implemented on a …

ANALISIS POLA HASIL PENETRATION TESTING DENIAL OF SERVICE, MAN-IN-THE-MIDDLE,…

The Disaster Recovery Center (DRC) system ensures the availability of information services during incidents, but it remains vulnerable to cyber attacks such as DoS, MiTM, Brute Force, and SQL Injec…

PENERAPAN DEEP LEARNING UNTUK KLASIFIKASI PENYAKIT MATA MENGGUNAKAN METODE CO…

Retina diseases are a major cause of vision problems that can lead to a loss of sight or even blindness if not detected early. Other eye conditions, like cataracts and glaucoma, can also severely i…

PREDIKSI KEPADATAN KENDARAAN BERDASARKAN ANALISIS DATA SENTIMEN TWITTER DAN E…

A comparison was conducted between social media data and traffic vehicle count data calculated by CCTV ETLE of Sumsel Regional Police Traffic Directorate. Both were processed and classified using t…

DETEKSI SERANGAN DDOS DOS DAN MITM PADA PERANGKAT SMART HOME MENGGUNAKAN METO…

This study aims to detect and classify Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man in The Middle (MITM) attacks on smart home devices using the Naïve Bayes method. The r…

IMPLEMENTASI EFFICIENTNETB3 UNTUK PENGENALAN SISTEM ISYARAT BAHASA INDONESIA …

The Indonesian Sign Language System (SIBI) is widely used as a communication standard within the deaf community. However, communication barriers still exist between deaf individuals and the general…

DETEKSI SISTEM ISYARAT BAHASA INDONESIA (SIBI) MENGGUNAKAN ARSITEKTUR CONVOLU…

Communication is essential in life but poses a significant barrier between the hearing-impaired community and the general public due to a lack of understanding of Sign Language. This research aims …

DETEKSI BAHASA ISYARAT INDONESIA (BISINDO) SECARA REAL-TIME DENGAN ARSITEKTUR…

Indonesian Sign Language (Bisindo) is the primary language used by the Deaf community to communicate. However, the limited understanding of Bisindo among the general public often creates communicat…

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA LALU LINTAS JARINGAN MENGGU…

Edition

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ISBN/ISSN

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Collation

xiv, 77 hlm.; ilus.; tab.; 29 cm.

Series Title

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Call Number

T1855552025

ANALISIS EFISIENSI SMART CONTRACT PADA BLOCKCHAIN MENGGUNAKAN MACHINE LEARNING

Edition

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ISBN/ISSN

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Collation

xv, 87 hlm.; ilus.; tab.; 29 cm.

Series Title

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Call Number

T1855922025

IMPLEMENTASI SISTEM PERINTAH GERAK PADA ROBOT PENGANTAR OBAT BERDASARKAN GEST…

Penelitian ini bertujuan untuk mengimplementasikan sistem perintah gerak berbasis gestur jari tangan pada prototipe robot pengantar obat. Sistem ini memanfaatkan metode Weightless Neural Network (W…

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA NETWORK TRAFFIC MENGGUNAKAN…

The rapid advancement of Android technology makes this operating system vulnerable to malware attacks, one of which is the Reverse TCP Trojan, capable of establishing a back connection from the vic…

DETEKSI REVERSE TCP METASPLOIT MENGGUNAKAN GRAPH CONVOLUTIONAL NETWORK

The rapid development of the open-source Android operating system has made it vulnerable to various cyberattacks, including malware that utilizes the reverse TCP technique. This attack allows an at…

VISUALISASI LALU LINTAS JARINGAN PADA SITUS JUDI ONLINE MENGGUNAKAN MACHINE L…

The rapid growth of online gambling in Indonesia poses significant challenges insocial, economic, and network security aspects. This study aims to visualize networktraffic patterns of online gambli…

ANALISIS PENGENALAN POLA HURUF DAN ANGKA RUANGAN MENGGUNAKAN METODE WEIGHTLES…

Pattern recognition is an essential aspect of artificial intelligence with various applications, including face, voice, and character recognition. In the healthcare field, this technology can suppo…

PEMBANGUNAN MODEL PREDIKSI PERMINTAAN TRANSPORTASI UDARA DI INDONESIA BERDASA…

Air transportation plays an essential role in Indonesia, the world’s largest archipelagic country, in supporting connectivity and national economic growth. This study aims to predict the number o…

DETEKSI AKSES JUDI ONLINE VIA TLS/SSL MENGGUNAKAN METODE RANDOM FOREST

This study aims to detect access to online gambling sites encrypted with TLS/SSL using machine learning-based network traffic fingerprint analysis, without accessing content to maintain privacy. Th…