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KLASIFIKASI AKTIVITAS BOT MAXIMAL EXTRACTABLE VALUE (MEV) PADA TRANSAKSI BLOC…
Maximal Extractable Value (MEV) bot activity on blockchain networks poses a significant challenge, as MEV bots exploit transaction-processing mechanisms to gain profit in ways that may hinder fairness, increase gas fees, and disrupt network stability. This study employs the Extreme Gradient Boosting (XGBoost) model to classify MEV bot activity in Ethereum blockchain transactions using numerical…
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- xiv, 86 hlm.; lamp.; 29 cm.
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- T1903792025
DETEKSI SERANGAN DDOS DAN MITM PADA SISTEM SMART HOME MENGGUNAKAN METODE LIGH…
This study aims to detect and classify Distributed Denial of Service (DDoS) and Man-in-the-Middle (MiTM) attacks in smart home networks using the Light Gradient Boosting Machine (LightGBM) algorithm. With the rapid growth of Internet of Things (IoT) devices, cybersecurity challenges have become crucial due to vulnerabilities in smart home devices. This research utilizes the COMNETS SMARTHOME da…
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- xiii, 88 hlm.; ilus.; tab.; 29 cm.
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- T1901922025
IMPLEMENTASI ALGORITMA RANDOM FOREST UNTUK MENDETEKSI SERANGAN SSL PINNING BY…
The advancement of Internet of Things (IoT) technology has brought significant changes to everyday life, especially through the adoption of smart home devices. The use of smart homes is growing rapidly because it can help make housework easier. However, the increasing use of these devices also increases cyber threats. Some dangerous threats are SSL Pinning Bypass and MITM. In this study, we wil…
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- xiv, 72 hlm.; ilus.; tab.; 29 cm
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- T1900392025
PERBANDINGAN METODE RANDOM FOREST DAN SUPPORT VECTOR MACHINE PADA ANALISIS SE…
This research aims to compare the performance of the Random Forest and Support Vector Machine methods in analyzing Facebook data sentiment related to traffic congestion in Palembang City. Data was obtained through a web scraping process and labeled using a lexicon-based approach into three sentiment classes, namely positive, negative, and neutral. Feature representation was performed using the …
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- xii, 151 hlm.; ilus.; tab.; 29 cm
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- T1901232025
ANALISIS SENTIMEN MEDIA SOSIAL FACEBOOK TERHADAP KEMACETAN LALU LINTAS DI KOT…
This study aims to analyze public sentiment toward traffic congestion in Palembang City based on Facebook social media comments using the Naïve Bayes algorithm. Data were collected through web scraping of Facebook comments related to traffic conditions in Palembang and labeled using a lexicon-based approach into three sentiment classes: positive, negative, and neutral. The dataset consists of …
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- xiv, 119 hlm.; ilus.; tab.; 29 cm
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- T1901072025
ANALISIS FORENSIK MOBILE TROJAN METASPLOIT DENGAN PENDEKATAN NATIONAL INSTITU…
The increasing number of APKs in mobile technology each year often coincides with the emergence of APKs containing malware. Through the Metasploit framework, threat actors are able to embed payloads into benign APKs. To address this issue, forensic investigation on mobile devices becomes crucial. This research aims to conduct forensic analysis on Android devices infected with Trojan APKs, apply…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1531242024
IMPLEMENTASI SISTEM KLASIFIKASI HAMA TANAMAN ANGGUR BERBASIS INTERNET OF THIN…
Tanaman anggur merupakan komoditas hortikultura bernilai ekonomi tinggi yang rentan terhadap serangan hama belalang, sehingga diperlukan sistem identifikasi yang cepat dan akurat. Penelitian ini bertujuan untuk mengimplementasikan sistem klasifikasi hama belalang pada tanaman anggur berbasis Internet of Things (IoT) menggunakan metode machine learning. Sistem dikembangkan dengan mengombinasikan…
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- xvi, 113 hlm.; ilus.; tab.; 29 cm
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- T1900132025
SISTEM KLASIFIKASI KEMATANGAN BUAH ANGGUR BERBASIS INTERNET OF THINGS (IOT) M…
Kematangan buah anggur merupakan faktor utama dalam menentukan kualitas dan nilai jual buah karena berpengaruh langsung terhadap rasa, tekstur, dan tingkat kesegaran. Penilaian kematangan buah anggur secara manual masih memiliki keterbatasan karena bersifat subjektif dan bergantung pada pengalaman manusia. Penelitian ini bertujuan untuk merancang dan menganalisis sistem klasifikasi kematangan b…
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- xv, 99 hlm.; ilus.; tab.; 29 cm
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- T1900122025
IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK (CNN) BERBASIS INTERNET OF T…
Pertanian anggur di Indonesia menghadapi tantangan serius akibat serangan hama yang menurunkan kualitas dan kuantitas hasil panen, sehingga diperlukan sistem deteksi yang cepat dan akurat. Penelitian ini bertujuan mengimplementasikan metode Convolutional Neural Network (CNN) berbasis MobileNetV2 yang terintegrasi dengan Internet of Things (IoT) untuk mendeteksi dan mengklasifikasikan hama pada …
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- xviii, 117 hlm.; ilus.; tab.; 29 cm
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- T1900102025
KLASIFIKASI KANKER KULIT MENGGUNAKAN VISION TRANSFORMER (VIT)
This research presents the implementation and evaluation of a LightWeight Vision Transformer (ViT) architecture for classifying seven different types of skin cancer using medical dermoscopic images from the HAM10000 dataset. The methodology includes data preprocessing, class balancing using Random Oversampling, and splitting the dataset into training and testing sets. Several hyperparameter con…
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- x, 121 hlm.; ilus.; tab.; 29 cm
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- T1896852025
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR EFFICIENTNE…
The rapid advancement of deepfake technology poses significant challenges, as it enables the generation of highly realistic synthetic facial images that are increasingly difficult to distinguish from authentic ones. This development raises substantial concerns regarding information verification and biometric security. This study aims to address these issues by implementing a deepfake detection …
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- xv, 100 hlm.; ilus.; tab.; 29 cm
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- T1897952025
PENERAPAN ALGORITMA RANDOM FOREST UNTUK SENTIMEN ANALISIS PADA POSTINGAN FACE…
Traffic congestion is a recurring issue in Palembang City and significantly affects the daily activities of its residents. Social media, particularly Facebook, serves as a platform for the public to express their opinions and complaints regarding traffic conditions. This study aims to analyze public sentiment toward traffic congestion in Palembang City using the Random Forest algorithm. The res…
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- xv, 106 hlm.; ilus.; tab.; 29 cm
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- T1893912025
PERANCANGAN SMART DOOR UNTUK KEAMANAN PINTU OTOMATIS DAN ABSENSI BERBASIS INT…
This study aims to design and develop an Internet of Things (IoT)-based smart door system that integrates automatic door security and digital attendance. The system uses RFID technology for access authentication and NodeMCU as the main microcontroller that connects devices to the internet. By scanning a registered RFID card, users can automatically unlock the door, and attendance data is record…
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- xii, 82 hlm.; ilus.; tab, 29 cm
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- T1816622025
PENENTUAN JALUR TERBAIK UNTUK SISTEM TRANSPORTASI PINTAR MENGGUNAKAN METODE H…
Cities around the world, including the City of Palembang, are facing increasing challenges in terms of transportation management. Population growth, urbanization and continuous population mobility have led to increased traffic, congestion and challenges in achieving efficient mobility. So a research was carried out using various models and algorithms in the context of object recognition, vehicl…
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- xiii, 142 hlm.; ilus.; 29 cm
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- T1531982024
IMPLEMENTASI LOAD BALANCER DENGAN METODE MTBLB (MULTI-TIME BASED LOAD BALANCI…
Penggunaan layanan cloud telah menjadi semakin populer dalam beberapa tahun terakhir, memicu peningkatan permintaan terhadap sumber daya cloud computing yang lebih besar dan efisien. Hal ini menimbulkan tantangan baru dalam mengelola beban kerja yang semakin kompleks dan beragam. Penelitian ini bertujuan untuk memvalidasi efektivitas metode load balancing MTBLB (Multi-time Based Load Balancing)…
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- x, 73 hlm.; ilus.; 29 cm
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- T1525422024
ANALISIS PENGARUH SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT (SCRM) TERHADAP MIN…
GrabFood, makes it easier for consumers to buy food and beverages without having to go to a restaurant. The competition between GrabFood and its competitors is currently growing rapidly. Therefore, GrabFood implements CRM activities by promoting various promotions and foods through social media platforms using the Instagram account @grabfood.id. This study focuses on examining whether activitie…
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- xiii, 126 hlm.; ilus.; 29 cm
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- T1525052024
IMPLEMENTASI DAN ANALISIS PERFORMA HIGH AVAILABILITY WEB SERVER PADA CLUSTER …
Pada masa kini semakin meningkat pengguna internet yang mengakses website pada waktu tertentu yang mana dapat menyebabkan kinerja web server menjadi buruk hingga mengalami downtime. Maka dari itu diperlukan sebuah sistem yang dapat aktif menjalankan web server secara terus menerus tanpa gangguan, yaitu Kubernetes. Kubernetes menerapkan cluster based yang terdiri dari satu node master dan bebera…
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- ix, 74 hlm.; ilus.; 29 cm
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- T1525412024
LABELISASI OTOMATIS DAN SEGMENTASI CITRA JANTUNG JANIN MENGGUNAKAN DEEP LEARNING
Proses labelisasi manual pada citra USG merupakan tugas yang menantang dikarenakan memerlukan ketelitian tinggi dan waktu yang lama. Sehingga labelisasi otomatis dengan deep learning dapat menjadi solusi. Penelitian ini bertujuan untuk mengetahui performa segmentasi dan labelisasi otomatis dengan menggunakan deep learning. Data dari penelitian menggunakan pemeriksaan USG pada jantung janin berj…
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- ix, 74 hlm.; ilus.; 29 cm
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- T1512512024
IMPLEMENTASI SISTEM DETEKSI KETERSEDIAAN SLOT PARKIR MOTOR DI FASILKOM UNSRI …
Motorcycle parking is a problem for students, lecturers, and employees at Fasilkom UNSRI Bukit Besar campus Palembang due to limited parking space and lack of information about empty parking slots. This causes difficulties in finding a safe and convenient parking lot, as well as wasting time and fuel. The purpose of this research is to develop a motorcycle parking slot availability detection sy…
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- xiii, 35 hlm.; ilus.; 29 cm
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- T1520762024
ANALISIS DAMPAK QUANTUM COMPUTING TERHADAP KEAMANAN SISTEM KRIPTOGRAFI KONVEN…
Kemajuan komputasi kuantum membawa tantangan besar bagi keamanan sistem kriptografi konvensional yang saat ini banyak digunakan, seperti RSA dan ECC, yang bergantung pada kesulitan komputasi faktorisasi bilangan besar dan logaritma diskret. Penelitian ini bertujuan untuk menganalisis dampak dari komputasi kuantum terhadap algoritma kriptografi konvensional dengan menggunakan simulasi algoritma …
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- xv, 99 hlm.; ilus.; tab.; 29 cm.
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- T1839992025
ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN YOLOv8 DENGAN AL…
Penelitian ini mengusulkan pendekatan hibrida untuk mendeteksi kemacetan lalu lintas dengan menggabungkan data visual dari CCTV, yang diproses menggunakan algoritma YOLOv8, dan data opini publik dari komentar Instagram, yang dianalisis menggunakan algoritma Gated Recurrent Unit (GRU). Dataset yang digunakan terdiri dari 7.680 citra berlabel dan 660 komentar media sosial. Hasil deteksi kendaraan…
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- xv, 94 hlm.; ilus.; tab.; 29 cm.
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- T1838632025
PENERAPAN METODE EXTREME GRADIENT BOOSTING UNTUK DETEKSI MULTI-CLASSIFICATION…
In the developing digital era, cybersecurity threats are increasing. One of the solutions commonly used in securing networks is the Network Intrusion Detection System (NIDS). To improve the performance of NIDS, this study applies the Machine Learning (ML) method, namely the Extreme Gradient Boosting (XGBoost) method, because it is considered to have high performance and its ability to handle co…
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- xiv, 95 hlm.; ilus.; tab.; 29 cm
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- T1842022025
VISUALISASI TRAFIK SERANGAN SIBER DENGAN METODE GEO IP
The escalation of cyber attack activities demands intensive network traffic monitoring by network administrators. However, conventional monitoring methods relying on text-based log analysis are often inefficient due to the difficulty in rapidly identifying attack patterns and origins. This study aims to design and build a cyber attack traffic visualization system by applying the Geo IPmethod. T…
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- xv, 96 hlm.; ilus.; tab.; 29 cm.
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- T1894712025
MODEL MARKOV CHAIN SEBAGAI METODE ANALISIS PENGHEMATAN ENERGI PADA PERANGKAT …
Smart farming applies Internet of Things (IoT) technology in modern agriculture to enhance efficiency and operational effectiveness. However, continuous operation of IoT devices often results in high energy consumption. This study aims to analyze and optimize energy usage of IoT devices using the Markov Chain model. Five key devices were monitored over four weeks: aerator, LED lamp, power head,…
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- xvi, 152 hlm.; ilus.; tab.; 29 cm.
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- T1894512025
ANALISIS SENTIMEN KEMACETAN DI KOTA PALEMBANG BERDASARKAN DATA MEDIA SOSIAL F…
Sentiment analysis on traffic congestion in Palembang City was carried out using Facebook comments that represent public opinions regarding daily traffic conditions. Data were obtained through web scraping, and after undergoing preprocessing stages—such as text cleaning, tokenization, stopwords removal, stemming, and normalization—a total of 2,505 cleaned entries were prepared and transform…
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- xiii, 81 hlm.; ilus.; tab.; 29 cm.
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- T1893792025
ANALISIS KUALITAS DISASTER RECOVERY CENTER (DRC) DENGAN PARAMETER QUALITY OF …
Disaster Recovery Center (DRC) is an essential solution for maintaining the continuity of information technology services during disruptions. This study analyzes the quality of DRC using Quality of Service (QoS) parameters, namely throughput, delay, jitter, and packet loss, with the Multivariate Analysis of Variance (MANOVA) method. Implementation was done with a hot standby topology and testin…
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- xvi, 165 hlm.; ilus.; tab.; 29 cm.
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- T1842172025
KLASIFIKASI PENYAKIT MATA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) : PE…
This study examines the use of the Convolutional Neural Network (CNN) algorithm for eye disease classification based on retinal images. The research methodology involves collecting a dataset from the Kaggle website, named eye_disease_classification, which includes four main categories: normal, cataract, diabetic retinopathy, and glaucoma, with a total of 4,233 images before augmentation. The da…
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- xiv, 62 hlm.; ilus.; tab, 29 cm
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- T1894082025
PERSEPSI KEMACETAN LALU LINTAS DI KOTA PALEMBANG BERDASARKAN ANALISIS SENTIME…
Traffic congestion in Palembang City is a frequent problem that impacts community activities and productivity. This study aims to analyze public perceptions of traffic congestion in Palembang City through sentiment analysis on Facebook social media using the Decision Tree Algorithm. Data were collected through web scraping techniques on public comments related to text data traffic over a 32-mon…
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- xvi, 146 hlm.; ilus.; tab, 29 cm
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- T1892832025
SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…
This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…
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- xii, 75 hlm.; ilus.; 29 cm
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- T1520552024
DETEKSI PELANGGARAN DAN KECEPATAN KENDARAAN MENGGUNAKAN YOLO DAN ALGORITMA DE…
The purpose of this research is to create a detection system for violations of not using helmets and speed limit violations at several road points in Palembang City. This research uses YOLOv8 combined with Deepsort to detect the number of vehicles, especially the class of motorcycles not using helmets and speed detection. As a result, the accuracy of detection of violations not using helmets re…
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- xv, 130 hlm.; ilus.; 29 cm
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- T1520562024
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