KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

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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…

SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MENGGUNAKAN ARSITEKTUR RESVNET

The use of retinal images on the eye fundus is becoming an important tool in the medical world, especially for the diagnosis of eye diseases. Segmentation of blood vessels in retinal images is one of the important steps in medical analysis to detect and diagnose various eye diseases, such as diabetic retinopathy, glaucoma, and macular degeneration. Using the ResVNet method, segmentation is perf…

SERI BUKU SCHAUM TEORI DAN SOAL-SOAL Pengantar ILMU KOMPUTER

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v, 279 hlm. : ilus. ; 26 cm

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004 Sch s

PENGANTAR KOMPUTER DAN SISTEM INFORMASI DALAM DUNIA USAHA

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ISBN/ISSN

979-587-067-X

Collation

i, 68 hal. : 28 cm.

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005.6 Mar p

ANALISIS KLASIFIKASI SHELLCODE DENGAN MACHINE LEARNING BERBASIS KLASIFIKASI B…

Internet dapat menghubungkan satu orang dengan orang lain dengan menggunakan perangkat masing-masing. Internet sendiri memiliki dampak positif dan negatif. Salah satu contoh dampak negatif dari internet adalah adanya malware yang dapat mengganggu atau bahkan membunuh perangkat atau penggunanya; itulah mengapa keamanan cyber diperlukan. Banyak metode yang dapat digunakan untuk mencegah atau mend…

ANALISIS PENERAPAN E-ELECTION DALAM PEMILU DI INDONESIA

E-democracy has become a solution for implementing the democratic process supported by information technology, which in its application has several models that can be used. One form of implementing democracy is the General Election (Pemilu). The part of e-democracy that focuses on the general election process is known as e-election. Elections in Indonesia itself are carried out in two ways, nam…

KLASIFIKASI KANKER PAYUDARA MENGGUNAKAN METODE CONVULATIONAL NEURAL NETWORK D…

Breast cancer is one of the leading causes of death among women worldwide. Early detection of breast cancer is crucial to increase the chances of recovery. This study aims to develop a breast cancer classification system using the Convolutional Neural Network (CNN) method with ResNet-50 and VGG-16 architectures. The data used in this study are breast ultrasound images obtained from a public dat…

ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI NIAT PERILAKU DAN PERILAKU PENGGUNAAN…

Seabank merupakan aplikasi bank digital yang dimiliki PT Bank Seabank Indonesia yang membantu dalam melakukan aktivitas finansial, mulai dari menabung hingga bertransaksi, melalui handphone kapan pun dan dimana pun. Namun, aplikasi seabank mengalami penurunan pengguna aktif dan open rate yang mana para pengguna mengeluhkan beberapa masalah baik dalam hal teknis maupun event atau keuntungan dala…

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…

Edition

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ISBN/ISSN

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Collation

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

Series Title

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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…