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…

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…

PREDIKSI MORTALITAS PADA PASIEN INSTALASI PERAWATAN INTENSIF MENGGUNAKAN DEEP…

Mortality prediction for patients in intensive care units (ICUs) is crucial for care planning, resource allocation, and timely medical decision-making. To enhance the accuracy of these predictions, artificial intelligence (AI) technology has shown promising results. This study aims to develop deep learning methods to improve the accuracy of mortality predictions for ICU patients, addressing mis…

PENERAPAN ROBOT BAWAH AIR UNTUK MENENTUKAN KUALITAS AIR MENGGUNAKAN METODE FU…

his research aims to develop and implement an underwater robot for water quality monitoring using the Mamdani Fuzzy Logic method. The background of this research is the need for technology capable of efficiently and accurately monitoring water quality, especially in areas that are difficult for humans to reach. Water is one of the most crucial natural resources for life, but its quality is ofte…

DELINEASI 12 - LEAD SINYAL ELECTROCARDIOGRAM BERBASIS DEEP LEARNING UNTUK PEN…

Interpretation of electrocardiogram signal waves is one of the crucial steps to diagnose heart disease. The use of deep learning that has been proven to be able to run feature extraction will be used in this study which aims to facilitate the delineation process of electrocardiogram signal waves. The use of CNN-BiGRU and CNN-BiLSTM architecture to perform delineation on the Lobachevsky Universi…

SIMULASI METODE BLOCKCHAIN DENGAN ALGORITMA KONSENSUS PROOF OF WORK (POW) UNT…

Blockchain is a collection of blocks arranged sequentially and starting with the first block called the “Genesis Block”, where these blocks are able to store data containing transactions that have been carried out previously. Blockchain is widely used in other fields, one example of which is supply chain management. The algorithm in this research uses proof of work where nodes solve mathema…

KLASIFIKASI ARITMIA PADA SINYAL FETAL ECG BERBASIS DEEP LEARNING

Fetal Electrocardiogram (ECG) is a type of signal that reflects the electrophysiological activity of the fetal heart. The non-invasive abdominal electrode method is employed to obtain fetal EKG signals. Classification was conducted between normal and arrhythmia categories using two main approaches, which are autoencoder-Deep Neural Network (DNN) and Convolutional Neural Network (CNN). The autoe…

DETEKSI SERANGAN SQL INJECTION DENGAN APACHE SPARK MENGGUNAKAN METODE K-MEANS…

Structured Query Language Injection or commonly called SQL Injection is a hacking technique to gain access to a SQL-based database system. Structured Query Language is a language used to create, process and manipulate databases. Because of this, detecting SQL injection attacks is the first and most important thing to do to combat SQL Injection attacks. The basis for conducting a detection appro…

DETEKSI MALWARE ANDROID DENGAN METODE REVERSE ENGINEERING

Smartphones used by everyone are connected to the internet at all times. A user is unaware of how much data they store and display while using various applications. With the increasing number of Android users over time, Android has become a target for cybercriminals, leading to an increase in malware attacks on these devices. Reverse engineering is the most crucial approach in analyzing malware…

DETEKSI TRAFFIC JARINGAN PADA AKTIVITAS JUDI ONLINE MENGGUNAKAN ALGORITMA EXT…

The rapid development of internet technology and the use of encryption in network traffic have led to an increase in online gambling activities that pose a threat to digital security. This study aims to detect network traffic indicative of online gambling by analyzing Server Name Indication (SNI) information during the TLS handshake process using the Extreme Gradient Boosting (XGBoost) algorith…

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

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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…