PERBANDINGAN KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA DECISION TREE DAN RAND…

This research predicts traffic density based on CCTV footage of Palembang city traffic. It uses the YOLOv9 model to detect cars and motorcycles, achieving a training performance with an mAP 0.5 of 84.4%. Furthermore, it compares traffic density using the Decision Tree and Random Forest algorithms on Monday, Wednesday, Friday, and Saturday during the morning, afternoon, and evening. The evaluati…

PERBANDINGAN ALGORITMA GENETIK TERHADAP PARTICLE SWARM OPTIMIZATION DALAM MEN…

This research focuses on identifying the optimal route by analyzing the results of Genetic Algorithm and Particle Swarm Optimization. This research uses You Only Look Once version 9 (YOLOv9) to create a vehicle detection and counting system using CCTV footage, with the results of Average Precision (mAP) values of 84.4% during training and 83.9% during testing. Furthermore, this study used the D…

STUDI SMART TRANSPORTATION DI KOTA PALEMBANG MENUJU SMART CITY UNTUK PREDIKSI…

Traffic congestion in Palembang City is caused by the number of vehicles exceeding the road capacity. This study discusses the determination of the best route in an intelligent transportation system using the A Star algorithm and Glowworm Swarm Optimization (GSO). The parameters used to compare A Star and GSO algorithms are based on path weight and execution time. YOLOv9 is used to detect and c…

PERBANDINGAN KEPADATAN KENDARAAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS DA…

This study aims to analyze traffic density in Palembang City by utilizing YOLOv9 for vehicle detection from CCTV recordings and employing K-Nearest Neighbors (KNN) and Long Short-Term Memory (LSTM) to assess density based on the detected vehicle count. The results indicate that YOLOv9 with 100 epochs achieved the best performance, with a mean Average Precision (mAP) of 0.844 for training, 0.843…

PERANCANGAN INTRUSION PREVENTION SYSTEM MENGGUNAKAN SIGNATURE BASED DAN IP FI…

Edition

-

ISBN/ISSN

-

Collation

xv, 62 hlm.: ilus., tab.; 29 cm

Series Title

-

Call Number

T1726252025

IMPLEMENTASI MULTI-LABEL TEXT CLASSIFICATION MENGGUNAKAN INDOBERT UNTUK KLASI…

This research is motivated by the rapid growth of the Indonesian film industry and the increasing need for an accurate film genre classification system to help viewers understand film content more precisely. Synopsis is often the main reference in identifying film genres, but the complexity and diversity of languages make the classification process a challenge. To answer this challenge, this st…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA LSTM B…

This research aims to analyze public sentiment towards traffic congestion in Palembang City using the Long Short Term Memory (LSTM) algorithm and then video recording using YOLOv8 followed by LSTM. The method used includes data collection from social media platforms and videos about traffic jams, followed by analysis using object detection and sentiment classification techniques. calculation of…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA RANDOM…

This research aims to analyze public sentiment towards traffic congestion in Palembang City using Random Forest algorithm then video recording using YOLOv8 followed by Random Forest. The method used includes data collection from Social Media platforms and videos about traffic jams, followed by analysis using object detection techniques and sentiment classification. Calculation of video recordin…

DETEKSI POLA SERANGAN ANDROID MALWARE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL…

Android malware is an application that targets Android devices to steal crucial data, including money or confidential information from Android users. Recent years have seen a surge in research on Android malware, as its types continue to evolve, and cybersecurity requires periodic improvements. This research focuses on detecting Android malware attack patterns using deep learning and convolutio…

PERBANDINGAN ANALISIS SENTIMEN KOMENTAR MEDIA SOSIAL DAN DATA ETLE DALAM KLAS…

Traffic management in major cities like Palembang faces congestion challenges, especially on main roads. The implementation of ETLE provides real-time data on traffic conditions, including vehicle counts, to assist in traffic flow management. Meanwhile, social media serves as an alternative source of information through user reports on congestion and accidents. This study aims to compare data f…

ANALISIS SENTIMEN TERHADAP KEMACETAN LALU LINTAS MENGGUNAKAN ALGORITMA K-NEAR…

This research aims to analyze public sentiment towards traffic jams in Palembang City using the K-Nearest Neighbors (KNN) algorithm and then video recordings using YOLOv8 followed by KNN. The method used includes data collection from social media platforms and videos about traffic jams, followed by analysis using object detection and sentiment classification techniques. calculation of video rec…

DETEKSI SERANGAN DDOS PADA JARINGAN SMART HOME IPV6 MENGGUNAKAN METODE RANDOM…

DDoS attacks are one of the most common network security threats on the internet. This attack utilizes various sources to send excessive traffic to a server, resulting in system disruption. This makes DDoS a serious threat to IPv6-based topologies and infrastructure. This study uses a dataset from COMNETS Smart Home IPv6, which consists of two types of classes, namely benign and DDoS, to detect…

INTEGRASI INTRUSION DETECTION SYSTEM (IDS) TERDISTRIBUSI DENGAN MENGGUNAKAN F…

Intrusion Detection System (IDS) is a tool designed to detect suspicious activities or security threats within a computer network. This study focuses on developing a distributed IDS framework using Multisource Data Fusion to enhance the detection of ICMP, SSH, and Ping of Death attacks. The framework integrates logs and alerts from multiple IDS machines, with Snort as the primary tool. The resu…

DETEKSI API PADA VIDEO MENGGUNAKAN METODE BACKGROUND SUBTRACTION DAN SEGMENTA…

Fire is one of the natural disasters that cause loss of property. objects and endanger the safety of life. The fire started from a small fire that got bigger, causing the fire to spread. This research tries to build a model to detect fire in video using an image processing approach with the method of background subtraction and color segmentation in the HSV space. The model is then tested with t…

ANALISIS PEMILIHAN JURUSAN PADA CALON SISWA SMK NEGERI 4 PALEMBANG BERDASARKA…

Choosing a major is a crucial decision for prospective students at SMK Negeri 4 Palembang, influenced by various academic and non-academic factors. This study aims to analyze the determinants of major selection using the Association Rule method and the Random Forest algorithm. Association Rule was utilized to identify patterns and relationships between key variables such as academic performance…

PERBANDINGAN KINERJA PENGENALAN WAJAH MENGGUNAKAN METODE FACENET PYTORCH DAN …

Face recognition has become an important technology in various applications, but challenges arise when multiple faces need to be recognized simultaneously in a single image or video frame. This research develops a multiple face recognition system using the Multi-Task Cascaded Convolutional Neural Network (MTCNN) method for face detection, Facenet models with Pytorch and Keras frameworks for fac…

EVALUASI USABILITY DAN USER EXPERIENCE PADA APLIKASI GO EXPERT MENGGUNAKAN ME…

Digitalization provides benefits for students by allowing them to easily learn anytime and anywhere, commonly referred to as E-Learning. Currently, many tutoring services have adopted this system, one of which is Ganesha Operation, which implements the GO Expert application as a support tool for students to learn. The author's observations show that there has been no evaluation conducted on the…

KLASIFIKASI KONDISI GIGI BERDASARKAN CITRA RGB MENGGUNAKAN CONVOLUTIONAL NEUR…

This study utilizes a deep learning model using a Convolutional Neural Network with ResNet – 18 architecture in classifying dental conditions based on RGB images consisting of four classes: Calculus, Caries, Gingivitis, and Tooth Discoloration. The data used came from a collection of several dental and oral diseases. The preprocessing stages include Resize, Center Crop, Random Resized Crop, R…

DETEKSI EXPLOIT REVERSE HTTPS DENGAN METODE DECISION TREE

Exploit Reverse HTTPS merupakan sebuah konsep teknik serangan malware yang dilakukan oleh penyerang untuk mengekspos kelemahan dalam lapisan HTTPS pada sistem atau aplikasi untuk mencuri atau mengambil informasi penting dari target. Penelitian ini menggunakan dataset dari COMNETS Research Lab Universitas Sriwijaya yang berupa data mentah dalam bentuk .pcap yang dihasilkan dari skenario eksperim…

DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME DENGAN MENGGUNAKAN…

Smart Home is a form of automation technology designed to facilitate household activities with the help of the Internet of Things (IoT). IoT technology enables objects around us, such as sensors, cameras, and smart devices, to connect to the Internet. However, the advancement of IoT technology also makes it a target for cyberattacks such as Distributed Denial of Service (DDoS), Denial of Servic…

IMPLEMENTASI METODE FUZZY LOGIC PADA SISTEM KESEIMBANGAN ROBOT BAWAH AIR

This research was motivated by conducting underwater exploration, because underwater exploration has a high risk if carried out by humans, with the difficulty of accessing underwater areas, so in this research it was formulated how to conduct exploration in underwater areas without having to involve humans to go directly into the water. in the air. The aim of this research is to create an under…

PERBANDINGAN ANALISIS STATIS DAN DINAMIS PADA DETEKSI WANNACRY RANSOMWARE

Ransomware is a type of malware that encrypts the victim's data and demands a ransom to restore access, with WannaCry being one of the most notorious variants exploiting EternalBlue on the SMB protocol. This study compares static and dynamic analysis methods in detecting WannaCry ransomware to evaluate their effectiveness. Static analysis is performed without executing the ransomware, using too…

ANALISIS PERBANDINGAN KLASIFIKASI INTENT CHATBOT MENGGUNAKAN DEEP LEARNING BE…

A chatbot is a software application to designed handle user inputs and generate appropriate replies based on those inputs, which are then communicated back to the user. In able to provide accurate responses, the chatbot must be able to understand the intent of the user accurately. An issue in the development of chatbots is how to accurate classify user intent. Incorrectly understanding user int…

ANALISIS USER EXPERIENCE PADA WEBSITE PRAKERJA MENGGUNAKAN METODE USER EXPERI…

Based on data accessed on the SimilarWeb website, it shows that preemployment website visitors in the last 3 months (February, March, April) are relatively unstable, this phenomenon could be caused by user experience from users about pre-employment websites still needs improvement, so that users can search and obtain information related to pre- employment more easily and comfortably, and improv…

ANALISIS KEPUASAN PENGGUNA PADA APLIKASI TOKOPEDIA MENGGUNAKAN METODE USER EX…

The Tokopedia app was officially launched on 17 August 2009. It was founded on 6 February 2009, by William Tanuwijaya and Leontinus Alpha Edison under PT Tokopedia. Tokopedia is a platform that simplifies online shopping by offering a variety of daily necessities. However, recent reviews on PlayStore and AppStore show many users have given negative feedback about new features, such as unusable …

EVALUASI USER EXPERIENCE PADA APLIKASI LINE MENGGUNAKAN METODE SYSTEM USABILI…

This study aims to evaluate the user experience (UX) of the LINE application using the System Usability Scale (SUS) method. Although LINE is one of the popular communication applications, data indicates that its usage rate remains relatively low compared to similar communication apps. This research focuses on assessing the ease and comfort of users when interacting with the LINE application. Th…

ANALISIS PERBANDINGAN ALGORITMA K-MEANS DAN KMEDOIDS UNTUK KLASTERISASI DATA …

This research focuses on the implementation and comparison of the KMeans and KMedoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS Indonesia). This research also aims to analyze the poverty level in South Sumatra Province by including additional variables such as average years of sch…

PENGARUH KNOWLEDGE MANAGEMENT TERHADAP KINERJA KARYAWAN DAN PERILAKU KERJA IN…

This study aims to analyze the effect of knowledge management on employee performance and innovative work behavior at PT PBT Site Bukit Asam. A quantitative approach with a census method was used, involving 30 respondents from various departments. Data was collected through a questionnaire with a Likert scale and analyzed using Partial Least Square (PLS) with SmartPLS software version 4.0. The …

PERANCANGAN ANTARMUKA SISTEM INFORMASI MONITORING DAN EVALUASI PADA BAPPEDA L…

Advancements in information technology have driven digital transformation in governance. Bappeda Litbang Kota Palembang implemented the Monitoring and Evaluation Information System (SIMonEv) to support regional development planning and evaluation. However, the system is considered outdated and ineffective, requiring redesign. This study redesigned the user interface (UI) and user experience (UX…

ANALISIS DAN PERANCANGAN USER INTERFACE LAYANAN PORTAL INTRANET PADA PT KILAN…

Pertamina Refinery Unit III Plaju is a Pertamina oil refinery located in Palembang. One of the services available is the Pertamina Intranet Portal Service, which provides access to all news and services offered to employees of PT. Kilang Pertamina Internasional. To enhance its functionality, the interface needs to be neat, attractive, and prioritize effectiveness.The interface design was develo…