REGRESI MORFOLOGI SINYAL ELEKTROKARDIOGRAM BERBASIS LONG-SHORT TERM MEMORY

Penelitian ini bertujuan untuk mengembangkan model yang dapat melakukan regresi posisi anotasi R-Peak pada beat sinyal. Dataset yang digunakan dalam penelitian ini adalah data dari Lobachevsky University Electrocardiography Database (LUDB) dengan menggunakan lead ii. Model dikembangkan menggunakan arsitektur Long Short-Term Memory (LSTM) yang terdiri dari Masking layer, dua lapisan LSTM masing-…

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…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

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Collation

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

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Call Number

T1840272025

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…

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…

PEMETAAN DAERAH RAWAN BANJIR DI KOTA PALEMBANG DENGAN METODE SKORING DAN WEIG…

The increase in population that occurs every year has an impact on the amount of land used for residential development. Land subsidence continues to occur significantly due to population growth in the area which then results in centralized land use in one area. Land subsidence occurs continuously every year, even though the amount or volume of water is relatively constant. This condition will c…

DETEKSI SERANGAN BRUTE FORCE PADA TANGLE NETWORK NODE IOTA HORNET DENGAN METO…

Brute force adalah salah satu metode umum yang paling sering digunakan oleh peretas dalam kejahatan siber. IOTA merupakan pendekakan blockchain sekuensial dengan Directed Acyclic Graph (DAG) berdasarkan Distributed Ledger Technology (DLT) open source yang dirancang khusus untuk industri IoT/IoE. IOTA Hornet node yang terpasang pada cyber-physical system seperti pada server yang merupakan critic…

ANALISA KEPADATAN KENDARAAN MENGGUNAKAN METODE DECISION TREE DAN PENENTUAN JA…

Penelitian ini bertujuan untuk dapat menerapkan algoritma CH dalam menentukan jalur terbaik dan menganalisa penyebab penentuan jalur terbaik berdasarkan kondisi beberapa jalan di Kota Palembang. Penelitian ini menggunakan YOLOv8 untuk perhitungan kendaraan pada rekaman CCTV, DT digunakan untuk memprediksi kondisi jalan, dan algoritma CH untuk penentuan jalur terbaik. Variabel yang digunakan seb…

PENGUKURAN CITRA PANJANG BARIS TEBU PADA LAHAN PERKEBUNAN MENGGUNAKAN METODE …

Penelitian ini berfokus pada pengukuran panjang baris tebu (Saccharum officinarum L.) di lahan perkebunan dengan menggunakan metode Euclidean distance. Tanaman tebu sebagai sumber utama gula dan karbohidrat, memiliki permintaan yang terus meningkat seiring bertambahnya jumlah penduduk. Oleh karena itu, peningkatan produktivitas perkebunan tebu menjadi krusial. Pengukuran panjang baris tebu seca…

VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA

The research aims to visualize and analyze data exploration, as well as analyze patterns of air pollution trends in the DKI Jakarta area before and during the Covid-19 pandemic. The air pollutant parameters that are the object of research are 〖"PM" 〗_"2.5" and 〖"PM" 〗_"10" . The research uses secondary data for the 2015-2022 period obtained from the Air Quality Index China. The research…

DETEKSI JENIS KENDARAAN BERMOTOR DENGAN ALGORITMA DETECTION TRANSFORMER (DETR)

Increased traffic in the city of Palembang has caused problems such as congestion and accidents, necessitating an accurate vehicle detection system. This study proposes the use of DETR and RT-DETR to identify vehicle types in traffic images, with ResNet-50 and ResNet-101 as comparison architectures. The dataset consists of 1,233 images extracted from traffic videos in Palembang. The model was t…

PENINGKATAN KINERJA SISTEM DETEKSI BATU GINJAL PADA CITRA CT SCAN MENGGUNAKAN…

Kidney stones are a condition that can interfere with kidney function and if left untreated can increase the risk of various health problems, such as chronic kidney disease, end-stage renal failure, cardiovascular disease, diabetes, and hypertension. Therefore, it is important for sufferers to take early prevention by detecting kidney stones in order to prevent serious complications in the futu…

DETEKSI RUANG JANTUNG JANIN MENGGUNAKAN METODE FASTER R-CNN DALAM KASUS INTER…

Fetal heart examination using ultrasound imaging is a crucial step in the early detection of congenital heart defects. However, manually identifying fetal heart structures requires specialized expertise and is prone to subjectivity. This study proposes an automated system for fetal heart chamber detection using the Faster R-CNN method under an inter-patient scenario, where testing is conducted …

KLASIFIKASI MALICIOUS URL PADA FILE BERBASIS HOST-BASED FEATURE EXTRACTION ME…

Dangers on the internet can endanger users by malicious actors who attack them covertly. These attacks include phishing, malware, spyware, and ransomware. One very effective cyberattack tool carried out by attackers is using URLs. A URL (Uniform Resource Locator) is an address used to find the location of a file on the internet. This makes URLs used as one method for carrying out cyberattacks c…

KLASIFIKASI SERANGAN DDOS PADA DATASET CICDDOS2019 MENGGUNAKAN METODE CNN LON…

Denial of Service (DoS) is one of the popular cyber attacks targeting websites of well-known organizations and has the potential to have high economic and time costs. One of the most common types of DoS is the Distributed Denial-of-Service (DDoS) attack which aims to bring down the target service using various distributed resources. In an effort to handle Distributed Denial-of-Service (DDoS) at…

KLASIFIKASI KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA LOGISTIC REGRESSION DI …

Traffic congestion problems in major cities, including Palembang, require an effective and accurate vehicle density classification system. This study aims to classify vehicle density on the main roads of Palembang using the Logistic Regression algorithm. The data used was obtained from vehicle detection results, such as cars, motorcycles, and three-wheeled motorcycles, using the YOLOv8 model, w…

IMPLEMENTASI METODE CENTER SCAN UNTUK IDENTIFIKASI POLA EKSPRESI WAJAH PADA R…

Face identification is a form of Machine Learning application, specifically using Deep Learning, that is commonly encountered in our daily lives. In its implementation, there are many algorithms used, and those employed in image processing for embedded schemes must be able to operate effectively on the intended hardware system. One example of such an algorithm is the Weightless Neural Network (…

VISUALISASI SERANGAN TCP FIN FLOOD PADA JARINGAN IOT MENGGUNAKAN METODE UNSUP…

Seiring berkembangnya Internet of Things (IoT), serangan TCP FIN Flood mengancam komunikasi dan sumber daya sistem. Penelitian ini menggunakan dataset node_wifi dari COMNETS Research Labs Universitas Sriwijaya dan menerapkan K-Means serta DBSCAN untuk clustering dan deteksi anomali pada lalu lintas jaringan. Visualisasi pola serangan dilakukan dengan Principal Component Analysis (PCA), yang men…

KLASIFIKASI TRAFFIC JARINGAN ONLINE GAMBLING BERBASIS DEEP LEARNING

Pesatnya pertumbuhan aktivitas judi online menimbulkan kebutuhan akan sistem deteksi yang akurat dan efisien. Penelitian ini bertujuan untuk mendeteksi aktivitas judi online dalam lalu lintas jaringan menggunakan kombinasi Autoencoder dan Deep Neural Network (DNN). Dataset diperoleh dari data lalu lintas jaringan dalam format PCAP yang kemudian diekstraksi menggunakan Tshark dan dikonversi ke f…

DETEKSI KEPADATAN KENDARAAN MENGGUNAKAN YOLO DENGAN ALGORITMA 1-DIMENSIONAL C…

This Automatic vehicle density detection on major roads in Palembang City is performed by combining the YOLOv8 method and the 1- Dimensional Convolutional Neural Network (1D-CNN) algorithm. YOLOv8 detects vehicle objects, namely cars and motorcycles, from image datasets and CCTV video recordings. The detection results, in the form of vehicle counts, are used as numerical input to the 1D-CNN mod…

ANALISIS PERBANDINGAN KEPADATAN KENDARAAN LALU LINTAS BERDASARKAN DATA MEDIA …

Perbandingan dilakukan pada data media sosial dengan data angka jumlah kendaraan lalu lintas dari kamera CCTV ETLE di Jalan Kota Palembang. Pertumbuhan jumlah kendaraan di Kota Palembang telah menyebabkan meningkatnya kepadatan lalu lintas yang berdampak pada kemacetan dan waktu tempuh yang lebih lama. Pemantauan kepadatan lalu lintas secara real-time sangat penting untuk membantu pemerintah da…

PEMANTAUAN POLA PERILAKU LALU LINTAS BERBASIS JARINGAN CCTV BERDASARKAN TEKNO…

This study presents the design of a traffic behavior monitoring system based on CCTV networks by comparing two algorithmic approaches: YOLOv8 for real-time object detection and Hierarchical Clustering for unsupervised object grouping without prior labeling. The system is developed to automatically identify behavioral patterns in traffic, such as violations involving riders not wearing helmets. …

ANALISIS SENTIMEN DATA INSTAGRAM TERHADAP KONDISI KEPADATAN LALU LINTAS KENDA…

Traffic congestion is a major problem in big cities like Palembang. The Electronic Traffic Law Enforcement (ETLE) system has been implemented to improve traffic discipline through surveillance based on CCTV camera technology. However, the limited coverage of ETLE indicates the need for more dynamic traffic data. In this context, social media such as Instagram with millions of active users offer…

ROUTING PROTOCOL UNTUK MENGHEMAT ENERGI MENGGUNAKAN METODE FUZZY YANG DITINGK…

Wireless Sensor Network (WSN) consists of numerous wireless sensors distributed across an area to detect and measure various environmental parameters. WSN requires high energy efficiency due to the limited battery power of each sensor. The primary issue addressed is enhancing energy efficiency through the fuzzy method. This study aims to improve energy consumption efficiency in WSN, focusing on…

ROUTING PROTOCOL YANG TERKELOMPOK TIDAK SAMA BERDASARKAN LOGIKA FUZZY UNTUK J…

Wireless Sensor Network (WSN) is an infrastructure with many sensors connected wirelessly to collect environmental data. Each sensor is equipped with a physical sensor, a data processing unit, and a communication module. The application of fuzzy logic in routing protocols, can improve the energy efficiency and availability of network communication by making intelligent decisions in resource all…

DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE NAIVE BAYES

The security of web applications based on the HTTPS (Hypertext Transfer Protocol Secure) protocol is becoming increasingly important. Although using the HTTPS protocol adds an extra layer of security through data encryption, there are still security threats, including reverse exploits. A reverse exploit is an attack tactic that can allow unauthorized access to a web application and compromise i…

DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) PADA SMART HOME MENGGUNAKAN METODE …

Man In The Middle jenis serangan di mana penyerang secara diam-diam menyusup dan memantau, memodifikasi komunikasi antara dua pihak tanpa sepengetahuan mereka. dan dapat mengubah alamat mac dari perangkat yang diserang. Pada penelitian ini menggunakan dataset dari COMNETS Smarthome yang terdiri dua jenis kelas, yaitu benign dan mitm untuk mendeteksi serangan man in the middle attack arp poisoni…

ANALISA SISTEM KESEIMBANGAN VERTIKAL PADA WAHANA BAWAH AIR MENGGUNAKAN METODE…

ABSTRACT The study analyzes the effectiveness of Artificial Neural Network (ANN) methods for vertical balance control in underwater vehicles (ROV). Traditional PID control methods were compared with ANN to evaluate performance differences. The research aims to identify the PID values required for training the ANN and to assess if ANN can achieve better balance control than PID in underwater sys…

ANALISIS FORENSIK MOBILE-TROJAN METASPLOIT DENGAN MACHINE LEARNING (DECISION …

The rapid development of mobile technology has opened the door to new advantages in terms of connectivity and productivity. However, its impact on security is becoming increasingly significant, especially with regard to malware attacks on mobile devices. This threat brings serious risks to the confidentiality and integrity of user data. In this research, the malware that will be the object of r…

ANALISIS PERBANDINGAN ANTARA SENSOR SHT31 DAN BME280 DALAM MENGUKUR SUHU DAN …

The Internet of Things (IoT) is a concept aimed at expanding the benefits of continuous internet connectivity. IoT also represents the development of smart sensor-based technology in smart devices that collaborate over the internet. It holds significant promise for optimizing future life. This study discusses a comparative analysis between the SHT31 and BME280 sensors in measuring temperature a…