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DETEKSI MAN IN THE MIDDLE (MITM) ATTACK PADA SMARTHOME DENGAN MENGGUNAKAN DEC…
The Gumay Mountains area topographically, it is in the elevation range of 200 to >1000 meters above sea level, with various types of slopes that vary. This landslide analysis observation uses two methods, namely NDVI and relief diversity. NDVI stands for Normalized Difference Vegetation Indices, an analysis that uses vegetation as its main index or parameter. In this case, the presence of veget…
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- xii, 40 hlm.; ilus.; 29 cm
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- T1502052024
ANALISIS KONSUMSI ENERGI DAN MASA HIDUP JARINGAN MENGGUNAKAN METODE LION OPTI…
In this growing modern era, IoT (Internet of Thing) networks have become a new era in IoT networks aimed at expanding the utilization of internet connectivity that is connected continuously. Low Power Lossy Network is part of the IoT network but has limited power and data packets are often lost, short transmission range and low bandwidth can cause waste of power that occurs. Therefore, this res…
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- xiii, 42 hlm.; ilus.; tab, 29 cm.
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- T1552572024
PENGGUNAAN METODE LION OPTIMIZATION ALGORITHM UNTUK RATA-RATA ENERGI PADA JAR…
In the era of rapidly developing technology, the Internet of Things (IoT) Network is one of the main applications driving the evolution of the Internet towards the Internet of the Future. LLN (Low Power Lossy Network) is an IoT network that has limited power and also has a low bandwidth which can make excessive energy usage and inappropriate data packet delivery a problem that often occurs on t…
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- xiii, 40 hlm.; ilus,; tab, 29 cm.
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- T1552432024
ANALISIS PEMILIHAN JALUR PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METODE L-RPL.
Routing Protocols for low-power networks such as Wireless Sensor Networks suffer from decreased depth, increased control overhead, longer latency and higher energy usage. Path selection suffers from the problem of less stability as packet delivery failures are more frequent as nodes are very close to each other in dense networks. Laplacian Routing Protocol low power lossy network (L-RPL) is a p…
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- xii, 38 hlm.; ilus.; tab, 29 cm.
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- T1550992024
ANALISIS EFISIENSI SISTEM PENCAHAYAAN PADA SMARTHOME MENGGUNAKAN METODE OPTIM…
This research will discuss about energy consumption and usage intensity in Smarthome lighting system and efficiency in its application to evaluate the effectiveness with optimization. The purpose of this research is power transition, measurement and evaluation of efficiency effectiveness. This research uses the Optimization method with Load Monitoring (NILM) and Energy Consumption Analysis to m…
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- xiii, 44 hlm.; ilus,; tab, 29 cm.
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- T1551002024
ANALISIS EFISIENSI ENERGI RPL PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METOD…
A routing protocol (RPL) specifically designed for networks with low power and high loss, such as Wireless Sensor Networks. RPL can be optimized for Energy Efficiency, due to limited resources and weak connections, the probability of network disconnection is quite high.This will cause losses resulting in more amount of energy consumption at the nodes to retransmit the packets. In this regard, R…
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- xii, 46 hlm.; ilus.; tab, 29 cm.
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- T1550702024
SEGMENTASI DAN KLASIFIKASI TINGKAT KEPARAHAN LESI PRA KANKER SERVIKS DENGAN M…
Seiring berkembangnya teknologi, model deep learning kini dapat digunakan untuk mengimplementasikan proses segmentasi dan klasifikasi citra. Penelitian ini bertujuan untuk mengembangkan model segmentasi dan klasifikasi kanker serviks menggunakan arsitektur U-Net Convolutional Neural Network (CNN). Model U-Net dikembangkan untuk melakukan segmentasi jaringan serviks dan memisahkan area yang menc…
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- xv, 64 hlm.; ilus.; tab, 29 cm.
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- T1549192024
PENDETEKSIAN T WAVE ALTERNANS MELALUI DELINEASI SINYAL ELEKTROKARDIOGRAM BE…
T Wave Alternans (TWA) dikaitkan dengan beberapa penyakit dan deteksi akuratnya yang dapat mengdiagnosis lebih dini mengenai komplikasi jantung. Penelitian ini menggunakan data dari QT Database (QTDB) dan T Wave Alternans Database (TWADB). QTDB digunakan untuk proses training untuk pengujian model sedangkan dataset TWA digunakan untuk proses pengujian. Delineasi terhadap sinyal EKG secara otoma…
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- xv, 97 hlm.; ilus.; tab, 29 cm.
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- T1549172024
PENENTUAN KONDISI KEPADATAN LALU LINTAS BERDASARKAN DATA MEDIA SOSIAL MENGGUN…
Perbandingan dilakukan antara data media sosial terhadap data angka kendaraan dari kamera CCTV Dirlantas Polda Sumsel menggunakan algoritma Naïve Bayes. Data media sosial dikumpulkan dengan teknik scrapping menggunakan Tweet Harvest, kemudian melalui proses preprocessing dan metode TF-IDF lalu diklasifikasikan menggunakan Naïve Bayes. Sedangkan data angka kendaraan, dilatih menggunakan model …
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- xiv, 63 hlm.; ilus.; tab, 29 cm
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- T1550892024
MONITORING DAN ANALISIS PERFORMA TRANSAKSI PERSECOND PADA SISTEM BLOCKCHAIN B…
Blockchain is a distributed database in which information sent by users is periodically verified and grouped into blocks, thus forming a chain. CITA (Cryptape Inter-enterprise Trust Automation) is a high-performance blockchain system for enterprises with 6 microservices (RPC, Auth, Consensus, Chain, Executor, Network) that exchange information via Message Bus. The process of data retrieval, dat…
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- xiii, 47 hlm.; ilus.; tab, 29 cm.
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- T1543362024
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 from the internet without the user's knowledge. Spyware is particularly dangerous because it targets computers and gadgets, posing serious risks to privacy and data integrity. Spyware can collect sensit…
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- xv, 82 hlm.; ilus.; tab.; 29 cm.
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- T1859732025
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-Darknet2020. Teknik Synthetic Minority Over-sampling Technique (SMOTE) diterapkan untuk menangani ketidakseimbangan kelas, sementara Mutual Information Classifier (MIC) digunakan untuk seleksi fitur. Model K…
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- xii, 53 hlm.; ilus.; tab, 29 cm.
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- T1535522024
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 mendeteksi pola akses terhadap situs judi online melalui analisis informasi Server Name Indication (SNI) pada protokol SSL/TLS menggunakan metode Support Vector Machine (SVM). Proses penelitian mencakup pem…
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- xv, 80 hlm.; ilus.; tab.; 29 cm.
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- T1859222025
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 using the t-Test method. The aim is to assess the impact of implementing dynamic traffic management on network performance by comparing conditions before and after the use of intent based routing on t…
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- xv, 145 hlm.; ilus.; tab.; 29 cm.
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- T1859052025
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. However, this increased connectivity also poses security threats, particularly cyberattacks such as Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man-in-the-Middle (MiTM). This …
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- xii, 101 hlm.; ilus.; tab.; 29 cm.
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- T1858732025
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 the risk of cyberattacks such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM), which can compromise system stability and security. This study aims to detect DDoS and MITM attacks in…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1858742025
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). Dari total 1.251 data sosial media yang dikumpulkan, sebanyak 932 data dipilih berdasarkan kemunculan kata kunci “macet”, “sedang”, dan “lancar”. Data ini kemudian dibagi menjadi data lat…
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- xvii, 73 hlm.; ilus,; tab, 29 cm
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- T1838022025
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 efficient dermatological diagnosis. The research involves designing a YOLOv8-based detection model, which includes the stages of collecting and annotating facial image datasets, preprocessing, model trainin…
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- xiii, 90 hlm.; ilus.; tab.; 29 cm.
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- T1858712025
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 (DDoS) and Man in The Middle (MITM) attacks. This study aims to implement and evaluate the performance of the Extreme Gradient Boosting (XGBoost) algorithm in detecting DDoS and MITM attacks on IoT netwo…
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- xiv, 85 hlm.; ilus.; tab.; 29 cm.
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- T1858772025
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 achieved an accuracy of 93.83%, an f-1 score of 83%, and mAP@0.5 of 86.7%. Vehicle counting using YOLOv8 and DeepSORT on 72 videos showed an average accuracy of 95.51% for motorcycles and 79.02% for cars…
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- xiv, 118 hlm.; ilus.; tab, 29 cm.
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- T1542482024
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, glaucoma, and diabetic retinopathy using Convolutional Neural Network (CNN) models with the InceptionV3 and VGG-16 architectures. The dataset was obtained from the Kaggle platform, consisting of 4,21…
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- xvi, 58 hlm.; ilus,; tab, 29 cm
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- T1834712025
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 study aims to develop a malware detection system using the Artificial Neural Network (ANN) method, implemented on a Small Board Computer (SBC), specifically the Banana Pi BPI-R1. Data was collected th…
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- xiii, 65 hlm.; ilus,; tab, 29 cm
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- T1835712025
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 compare the performance of three network automation engines, namely Ansible, Puppet, and Chef, in automating server services (Apache, MySQL, Exim, and FileZilla) on two virtualization platforms: Proxmox…
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- xiv, 127 hlm.; ilus,; tab, 29 cm
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- T1823322025
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 small board computer (Banana Pi). Network traffic datasets were created under three scenarios: normal, attack (reverse TCP), and combined. After labeling and preprocessing, the Naïve Bayes model was …
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- xvi, 85 hlm.; ilus,; tab, 29 cm
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- T1835732025
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 Injection. This study analyzes the patterns of penetration testing results on the DRC system using the K-Means Clustering method. Attack data is sourced from internal network simulations, involving preproc…
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- xv, 153 hlm.; ilus,; tab, 29 cm
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- T1836072025
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 impair vision if not treated properly. This research aims to classify retina images using a Convolutional Neural Network (CNN) approach by comparing two architectures: DenseNet 121 and Xception. DenseN…
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- xiv, 100 hlm.; ilus.; tab.; 29 cm.
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- T1856412025
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 the Support Vector Machine algorithm. Social media data collection was performed using scraping technique using Tweet Harvest from Playwright. Prior to classification using the Support Vector Machine a…
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- xiv, 70 hlm.; ilus.; 29 cm
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- T1458482024
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 research begins by identifying important features of network traffic such as frame.time.epoch, ip.src, ip.dst, eth.src, eth.dst, tcp.srcport, tcp.dstport, arp, and frame.len, which play a crucial role …
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- xiii, 98 hlm.; ilus.; tab.; 29 cm.
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- T1856282025
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 public who are not proficient in sign language. Therefore, an effective technological solution is required to bridge this communication gap. This study aims to develop a real-time SIBI sign language …
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- xvii, 105 hlm.; ilus.; tab.; 29 cm.
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- T1855342025
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 to develop a real-time detection system for the Indonesian Sign Language System (SIBI) to bridge this communication gap. The method employed is a Deep Learning architecture using a Convolutional Neura…
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- xiv, 93 hlm.; ilus.; tab.; 29 cm.
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- T1855982025
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