ANALISIS PERBANDINGAN ALGORITMA SUPPORT VECTOR MACHINE DAN EXTREME GRADIENT B…

As cyber threats become increasingly complex, machine learning-based Intrusion Detection Systems (IDS) are crucial for network security. This study compares the performance of Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) using a classic dataset (NSL-KDD) and a modern dataset (UNSW-NB15). The methodology encompasses exploratory data analysis, data preprocessing, baseline …

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 …

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…

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…

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…

DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE LOGISTIC REGRESSION

Botnets are a serious cyberattack threat that infects computer networks controlled by botmasters to carry out malicious activities. Various types of botnets have emerged over the years, posing a significant threat to cybersecurity. These botnets' malicious activities vary from executing instruction-based attacks such as DDoS attacks, flooding, and spamming. This study used the CICIoT2023 datase…

ANALISIS DAN PREDIKSI NILAI IMPOR INDONESIA MENGGUNAKAN PENDEKATAN ALGORITMA …

Accurate forecasting of import values is crucial for effective economic planning and policy-making in emerging economies like Indonesia. This study evaluates the performance of three prominent Machine Learning (ML) models—Support Vector Regression (SVR), Random Forest, and Decision Tree—for forecasting Indonesian goods and services imports. Utilising historical macroeconomic time series dat…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

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xvi, 76 hlm.; ilus.; tab.; 29 cm.

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T1840272025

IMPLEMENTASI INTRUSION DETECTION SYSTEM MENGGUNAKAN SNORT BERBASIS PARALLEL C…

This research develops an Intrusion Detection System (IDS) based on Snort, optimized using parallel computing with the Message Passing Interface (MPI). The system is built with an architecture consisting of one master and two workers running Snort in parallel to detect ICMP traffic. Detection logs are collected through a shared folder and monitored by the master using a Python script, which als…

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 which have a lot of sensitive and important data. Therefore, the HTTPS protocol was created as a medium that bridges the process of exchanging information that has good security. However, every security…

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 implements both algorithms within a Reinforcement Learning framework to classify types of attacks based on network traffic features. The datasets used for testing include CIC-IDS2018, CIC-IDS2017, IS…

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 tantangan keamanan, terutama ancaman serangan siber seperti Mirai, yang menyerang perangkat IoT melalui Distributed Denial of Service (DDoS). Berbagai metode telah dikembangkan untuk mendeteksi serangan in…

KLASIFIKASI PDF MALWARE PADA GARBA RUJUKAN DIGITAL (GARUDA) KEMDIKBUD DIKTI M…

Garba Rujukan Digital (GARUDA) is a source of information covering various fields including science, behavioral psychology, moral science, math, and computers, as well as other scientific publications managed by the Ministry of Education and Culture and Higher Education. Malware problems are more dangerous for government institutions and organizations than for private users. Various intentions …

ANALISA KEPADATAN LALU LINTAS DI KOTA PALEMBANG MENGGUNAKAN METODE CNN-GRU BE…

Traffic congestion in Palembang City significantly impacts residents' mobility and urban productivity. This study develops a traffic density classification system based on TikTok social media text using a hybrid Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) method. A total of 6,446 captions and comments were collected via Apify and processed into 2,260 relevant records, labe…

PERBANDINGAN PERFORMA MODEL YOU ONLY LOOK ONCE VERSION 11 (YOLOV11) DAN SWIN …

The global agricultural sector faces significant challenges in meeting the demand for food production, with plant diseases being a major factor in reducing yields. In tomato plants, fruit diseases are often manually detected by farmers, but this method is time-consuming and prone to misdiagnosis. This study aims to compare the performance of the YOLOv11 and Swin Transformer models in detecting …

ANALISIS PERFORMA NETWORK LOAD BALANCER DI PLATFORM CLOUD COMPUTING MENGGUNAK…

This study analyzes the performance of a Network Load Balancer (NLB) on cloud computing platforms, namely Google Cloud Platform and Microsoft Azure, using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The evaluation was conducted on a Layer 4 Network Load Balancer implementing the Round Robin algorithm with performance parameters including latency, throughp…

ANALISIS STATISTIK INFERENSIAL TERHADAP PERBANDINGAN PERFORMA CI/CD DAN DEPLO…

Continuous Integration and Continuous Deployment (CI/CD) is a widely used approach for automating software build and deployment processes in server-based applications. However, the implementation of CI/CD may increase server activity and affect resource utilization. This study aims to analyze and compare the performance of CI/CD and conventional deployment methods in a web-based server applicat…

ANALISIS PERFORMA ALGORITMA LOAD BALANCING PADA LINGKUNGAN PRIVATE CLOUD MENG…

Load balancing is an essential mechanism in private cloud environments for distributing workloads across multiple servers to improve system performance and service availability. This study aims to evaluate the performance of Round Robin, Least Connections, Weighted Round Robin, and IP Hash algorithms in a Proxmox VE-based private cloud environment using Nginx as the load balancer. Experiments w…

PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

Advanced Persistent Threat (APT) generates Cyber Threat Intelligence (CTI) reports in the form of unstructured text that is difficult to analyze efficiently. This study aims to extract structured information from CTI reports using the Named Entity Recognition (NER) approach with the Bidirectional Long Short-Term Memory–Conditional Random Field (BiLSTM-CRF) model. The dataset used is CyberNER …

PENDEKATAN NAMED ENTITY RECOGNITION PADA ADVANCED PERSISTENT THREAT DI CYBER …

Advanced Persistent Threat (APT) reports in Cyber Threat Intelligence (CTI) are generally presented in unstructured text, making them difficult to analyze manually and requiring automated methods to extract important entities. This study aims to analyze the performance of Named Entity Recognition (NER) using a Bidirectional Long Short-Term Memory (BiLSTM) model by comparing the BIO and BILOU ta…

EFEKTIVITAS PUPUK ORGANIK BRIKET DAN EKSTRAK METHANOL PESTISIDA NABATI BERBAH…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

ANALISIS KINERJA CONTENT DELIVERY NETWORK (CDN) CLOUDFLARE TERHADAP PARAMETER…

Layanan video streaming 3D membutuhkan infrastruktur jaringan yang mampu mendukung transmisi data berukuran besar secara stabil dan efisien. Content Delivery Network (CDN) berfungsi untuk meningkatkan kinerja distribusi konten dengan mendekatkan server ke pengguna akhir. Penelitian ini menganalisis kinerja CDN Cloudflare terhadap parameter Quality of Service (QoS) dan Quality of Experience (QoE…

KLASIFIKASI PENYAKIT KANKER KULIT BERDASARKAN CITRA DERMOSKOPIS MENGGUNAKAN V…

Skin cancer is one of the most common types of cancer and requires early detection to increase the chances of successful treatment. This study aims to classify skin cancer diseases based on dermoscopic images using the Vision Transformer Base (ViT-Base) method. The research process begins with a data preparation stage, including data collection and splitting into training, validation, and testi…

PENERAPAN HYBRID CNN DAN VISION TRANSFORMER UNTUK KLASIFIKASI PENYAKIT MATA P…

Retinal diseases require early detection to improve the effectiveness of medical treatment. This study aims to classify retinal diseases based on fundus images using a hybrid architecture of CNN and Transformer Encoder based on Vision Transformer. The research stages include preparing and dividing the dataset into training, validation, and test data, as well as preprocessing in the form of resi…

PREDIKSI KEPADATAN LALU LINTAS BERDASARKAN DATA ELECTRONIC TRAFFIC LAW ENFORC…

Traffic density is a complex issue in Palembang City that impacts time efficiency, fuel consumption, and environmental quality. This study aims to predict traffic density using Electronic Traffic Law Enforcement (ETLE) data as an objective source and Instagram social media data as a representation of public perception, applying the Random Forest method with an eliminating skewed distribution te…

MODEL TRANSFORMER BERBASIS DEEP LEARNING UNTUK SEGMENTASI CITRA JANTUNG JANIN

Masalah: Identifikasi batas jantung dan rongga dada pada citra USG jantung janin masih dilakukan secara manual sehingga berpotensi menimbulkan variabilitas hasil. Selain itu, karakteristik citra USG seperti speckle noise, kontras yang rendah, serta dominasi intensitas abu-abu membuat proses segmentasi struktur anatomi menjadi lebih menantang. Tujuan: Penelitian ini bertujuan mengimplementasikan…

IMPLEMENTASI PENILAIAN KONDISI PASIEN BERBASIS IoMT DENGAN LOGIKA FUZZY SUGENO

Real-time health condition monitoring is an important requirement in supporting more effective and efficient healthcare services. The development of the Internet of Medical Things (IoMT) enables medical devices to be connected to the internet, allowing health data to be monitored remotely. This study aims to design and implement an IoMT-based patient health monitoring system using the MAX30102 …

ANALISIS KOMPARATIF ROBUSTNESS ALGORITMA ENSEMBLE LEARNING TERHADAP PERGESERA…

Data distribution changes over time have become one of the main challenges in the application of machine learning to intelligent transportation systems. This phenomenon, known as concept drift, can lead to performance degradation when the testing data exhibit characteristics that differ from those of the training data. This study aims to analyze the robustness of machine learning algorithms aga…

DETEKSI EXPLOIT REVERSE HTTPS DENGAN METODE LOGISTIC REGRESSION

Reverse HTTPS attacks conceal malware communication within encrypted traffic. This research detects these threats using the Logistic Regression method on raw data from the Mobile-Trojan Metasploit Traffic. The data flow feature extraction results obtained through the CICFlowMeter tool are crucial for preserving the dataset's overall quality. Modeling was conducted without resampling techniques …

EKSTRAKSI INDICATOR OF COMPROMISE MENGGUNAKAN BILSTM-CRF DENGAN EMBEDDING FAS…

Indicator of Compromise (IoC) merupakan artefak digital penting dalam Cyber Threat Intelligence (CTI), seperti IP address, domain, URL, hash file, dan nama malware, yang digunakan untuk membantu identifikasi aktivitas berbahaya. Ekstraksi IoC dari teks CTI masih menjadi tantangan karena data umumnya bersifat semi-terstruktur serta mengandung variasi istilah teknis yang kompleks. Penelitian ini …