PEMODELAN DAN SIMULASI DAFTAR ULANG PENERIMAAN PESERTA DIDIK BARU PADA SEKOLA…

The New Student Admission (PPDB) process in high schools is complex and requires efficient management to avoid long queues and errors in data processing. Until now, the Re-registration of New Student Admissions in high schools has always involved hundreds of prospective students in one school, resulting in long service and waiting times. Therefore, a solution is needed to address these issues a…

PENGEMBANGAN MODEL SEGMENTASI DAN ALIGMENT CITRA PRA KANKER SERVIKS MENGGUNAK…

Cervical cancer is one of the leading causes of death in women worldwide, so early detection of precancerous lesions is crucial to reduce mortality. Conventional screening methods such as VIA and Pap Smear still have limited accuracy and risk producing false positives and false negatives. This study aims to develop a deep learning-based cervical image segmentation model using the You Only Look …

OPTIMASI STRATEGI PENJUALAN MELALUI INTEGRASI METODE K-NEAREST NEIGHBORS (KNN…

In today's competitive digital era, optimizing sales strategies is crucial for sustaining online business growth. This study aims to identify best-selling products by integrating the K-Nearest Neighbors (KNN) algorithm and linear regression. The research utilizes sales data from the fashion brand "Zaskia Sungkar Jakarta" on the Shopee e-commerce platform. The KNN method is applied to classify p…

ARSITEKTUR U-NET PADA SEGMENTASI CITRA PARU UNTUK MENDETEKSI NODUL PARU

Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi model U-Net dalam tugas segmentasi citra paru guna mendeteksi nodul paru. Model U-Net yang dilatih berhasil mencapai akurasi sebesar 94%, menunjukkan kemampuannya dalam membedakan area nodul dari jaringan paru normal dengan tingkat kesalahan yang rendah. Keberhasilan ini didukung oleh proses pelatihan yang mencakup preprocessing data…

PENDEKATAN KOMBINASI MODEL UTAUT 2 DAN DELONE & MCLEAN UNTUK MENGIDENTIFIKASI…

Mobile banking is a digital banking innovation designed to simplify transactions and account management. However, based on Playstore reviews, 30% of users still face issues, particularly in accessing the app, which leads to transaction failures. This study aims to identify the factors influencing user satisfaction using the SEM-PLS method, which is suitable for complex models with multiple late…

KLASIFIKASI DUA TAHAP PADA IMAGE DEBLURRING WAJAH BERDASARKAN JENIS DAN TINGK…

Image blur, particularly in facial images with varying types and severity levels, can significantly degrade visual quality and hinder the performance of facial recognition systems. This study proposes a two-stage classification approach for image deblurring based on Convolutional Neural Networks (CNN) and U-Net. The approach separates the classification of blur type and blur severity before app…

PREDIKSI PENERIMA BEASISWA KARTU INDONESIA PINTAR KULIAH DENGAN HYBRID BACKPR…

The Indonesia Smart Card (KIP) College Program aims to improve the quality of human resources by providing educational assistance to students from underprivileged families. However, the distribution of KIP College in Palembang still faces problems, such as inaccuracy in targeting and a lack of public understanding of the program. The suboptimal selection process for scholarship recipients resul…

ANALISIS SENTIMEN MEDIA SOSIAL UNTUK MENINGKATKAN REPUTASI BRAND ERSPO DENGAN…

Brand Erspo adalah sebuah brand produk olahraga yang diproduksi oleh Perusahaan Erigo. Erigo sendiri adalah apparel lokal yang mengkhususkan diri pada streetwear fashion yang digunakan pria dan wanita. Erigo telah menjalin kerjasama dengan PSSI untuk merancang jersey Skuad Garuda, menggantikan brand sebelumnya yaitu Mills. Erspo sempat menjadi trending topik pada media sosial X setelah rilis je…

RULE BASE DENGAN UJI STATISTIK T-STUDENT UNTUK KETUNTASAN BELAJAR DAN HIERARC…

Assessment of learning completion is a crucial aspect in education, but conventional methods are often inaccurate and rigid, especially in accommodating variations in student abilities. This study aims to develop a more accurate and adaptive assessment system by combining the rule method based on the t-student statistical test to determine the threshold of incompleteness in learning mathematics…

PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU DENGAN METODE RANDOM FOREST BERDASAR…

On-time graduation is a crucial indicator for assessing the quality of higher education institutions. At the Postgraduate School of Sriwijaya University, delayed graduations remain a serious concern. This research aims to predict on-time student graduation by combining the random forest method with the K-means algorithm. The K-means algorithm is used to cluster students based on specific parame…

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…

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

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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…