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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 …
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…
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…
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 …
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…
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…
Instagram merupakan salah satu platform media sosial yang digemari oleh masyarakat Indonesia untuk berbagi informasi tentang perkembangan yang terjadi salah satunya ketika pemilihan umum 2024. Tingginya sebaran komentar-komentar yang berisi polaritas dan polarisasi antara kelompok pendukung kandidat atau partai yang berbeda menjadikannya sebagai objek penelitian yang akan dianalisis menggunakan…
Penelitian ini mengevaluasi kepuasan pengguna aplikasi Traveloka menggunakan kerangka kerja PIECES, yang mencakup Kinerja, Informasi, Ekonomi, Kontrol, Efisiensi, dan Layanan. Populasi dan sampel pada penelitian adalah pengguna aplikasi Traveloka yang berjumlah 202 responeden. Data dikumpulkan melalui analisis regresi linier dan One-way ANOVA untuk meneliti dampak faktor-faktor ini terhadap pen…
Penelitian ini secara spesifik untuk mengetahui kepuasan pengguna terhadap sistem Sistem Informasi Pelayanan Publik Nasional (Cariyanlik) di Kota Palembang. Yang mana sistem Cariyanlik ini merupakan sistem pelayanan terpadu yang digunakan khususnya bagi pegawai kecamatan dalam melayani keperluan administrasi kependudukan di Kota Palembang. Dari hasil pengamatan penulis terhadap penggunaan terha…
Aplikasi Access by KAI sebagai media pemesanan tiket kereta api secara online yang berfokus pada pemesanan tiket kereta api jarak jauh, menengah maupun local/komuter. Tujuan dari penelitian ini yaitu menganalisis faktor untuk mengetahui kepuasan pengguna terhadap aplikasi Access by KAI. Metode yang digunakan dalam penelitian ini adalah End User Computing Satisfaction (EUCS) yang terdiri dari li…
Valorant is a form of online entertainment in the FPS (First-Person Shooter) genre, released by Riot Games in 2020, and it remains popular among gamers today. The online game Valorant offers a wide range of characters with unique skills and roles, requiring teamwork and strategy to win matches. This presents a challenge for new players entering the game, as they may struggle to adapt. Therefore…
This research aims to analyze weapon meta in the First Person Shooter (FPS) game Valorant using the K-Median algorithm. This algorithm is applied to cluster weapons based on performance parameters such as Average Damage per Round (ADR) and Average Combat Score (ACS). The clustering results show that the K-Median algorithm produces groupings more resilient to outliers compared to other algorithm…
The distribution of goods in the logistics sector faces challenges in optimizing distance, time, and delivery route efficiency. The Vehicle Routing Problem (VRP), including its variant VRPTW, which considers time constraints, is an effective approach to address these challenges. This study applies the Variable Neighborhood Search (VNS) algorithm as a heuristic method to solve the VRPTW. VNS lev…
This study explores the user experience of the Maxim app among the people of Palembang using the User Experience Questionnaire (UEQ) method. The study aims to assess user satisfaction by analyzing key variables such as attractiveness, efficiency, clarity, dependability, stimulation, and novelty. Data were collected through questionnaires, with responses from 228 participants, later refined to 2…
This study aims to analyze the influence of Customer Relationship Management (CRM) on user loyalty of the Maxim application in Palembang. CRM is a strategic approach aimed at enhancing the relationship between companies and customers through the effective use of technology, information systems, and business processes. This research focuses on five main CRM variables: Content, Accuracy, Format, …
Penelitian ini bertujuan untuk melakukan klasifikasi pola sidik jari serta menentukan model arsitektur metode CNN, yaitu Xception, VGG-16, dan NasNetLarge, yang paling baik. Sidik jari merupakan identitas biometrik yang unik dan sering digunakan sebagai alat bukti di pengadilan. Namun, berbagai hambatan sering muncul ketika kualitas sidik jari menurun akibat faktor eksternal, seperti permukaan …