PENGENALAN ANGKA YANG TIDAK TERBACA DI LEMBAR C1 PEMILU MENGGUNAKAN METODE CO…

Penelitian ini berangkat dari rendahnya akurasi digitalisasi hasil Pemilu pada SIREKAP, khususnya dalam membaca angka tulisan tangan pada lembar C1. Variasi bentuk tulisan, kualitas citra rendah, tinta melebar, lipatan, dan orientasi angka yang tidak standar menyebabkan OCR konvensional sulit mengenali karakter secara konsisten. Untuk mengatasi masalah tersebut, penelitian ini mengembangkan mod…

EXPLAINABLE AI (XAI) UNTUK DETEKSI PNEUMONIA DARI CITRA X-RAY MENGGUNAKAN GRA…

Pneumonia remains a leading cause of mortality among toddlers globally, necessitating rapid and accurate early detection methods. While Convolutional Neural Networks (CNN) have proven reliable in medical image classification, their "black-box" nature often hinders clinical adoption due to a lack of transparency. This study aims to bridge this gap through an Explainable AI (XAI) approach using G…

PERBAIKAN KUALITAS CITRA BAWAH AIR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (…

Underwater images suffer from degradation caused by light refraction and suspended particles, resulting in the appearance of noise, color casts, low contrast, and loss of fine details, hindering further vision tasks like object detection. This study implements Residual U-Net Model, incorporating Residual blocks onto each convolutional block in the encoder side to improve feature extraction and …

NERACA AIR LAHAN GAMBUT DI ARBORETUM FAKULTAS PERTANIAN UNIVERSITAS SRIWIJAYA

Peatlands play a crucial role in maintaining hydrological balance, storing carbon, and preventing both flooding and drought. However, changes in land use and improper water management can disrupt these ecological functions. This study was conducted to evaluate the water balance conditions in the peatland area of the Arboretum, Faculty of Agriculture, Sriwijaya University, with the specific aim …

PENGENALAN PRODUK E-COMMERCE BERBASIS GAMBAR SECARA OTOMATIS MENGGUNAKAN CONV…

E-commerce has become a key pillar of the digital economy, supported by broad internet access and modern technology. However, text-based searches often cause difficulties, especially for products with complex descriptions. This study develops an automatic image-based e-commerce product recognition system using Convolutional Neural Network (CNN) with the VGG16 architecture. The Fashion Product I…

KLASIFIKASI PEROKOK BERDASARKAN KARAKTERISTIK FISIK WAJAH MENGGUNAKAN CONVOLU…

Indonesia has a high prevalence of active smokers, reaching 70.6% among adult males in 2019. Smoking is known to cause various physical changes in facial skin, such as accelerated aging and wrinkles. This research aims to develop and test an automated system for classifying smokers based on facial physical characteristics using a deep learning approach. The method used is Transfer Learning, uti…

PREDIKSI DURASI RAWAT INAP PASIEN ICU MENGGUNAKAN DEEP LEARNING

Memprediksi durasi lama rawat inap pada pasien merupakan aspek krusial bagi rumah sakit untuk meningkatkan kualitas pelayanan medis dan manajemen rumah sakit. Prediksi ini membantu pasien dalam menyiapkan kebutuhan yang diperlukan serta memungkinkan rumah sakit untuk mempersiapkan pelayanan medis yang tepat. Dalam penelitian ini, dilakukan prediksi durasi rawat inap pasien ICU menggunakan pende…

ANALISIS PERAN TRANSNATIONAL ADVOCACY NETWORK DALAM MENDORONG LEGALISASI SAME…

Lesbian, Gay, Bisexual, Transgander and Queer (LGBTQ) merupakan salah satu dampak negatif dari tidak adanya batasan atau penyaringan dalam arus globalisasi budaya. Selain itu isu LGBTQ ini, sering kali menjadi isu yang menarik perhatian masyarakat luas, bahkan kerap memicu bentrokan politik dari gerakan-gerakan yang dilakukan oleh kelompok LGBTQ untuk mendapatkan kesetaraan dalam kehidupan sosi…

IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR EFFICIENTNE…

The rapid advancement of deepfake technology poses significant challenges, as it enables the generation of highly realistic synthetic facial images that are increasingly difficult to distinguish from authentic ones. This development raises substantial concerns regarding information verification and biometric security. This study aims to address these issues by implementing a deepfake detection …

KLASIFIKASI JENIS BUNGA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

ATechnological advances drive the need for accurate automatic classification systems, such as in flower type identification, which is still often done manually. This study aims to measure the performance of the DenseNet201 architecture in classifying five types of flowers (Daisy, Dandelion, Rose, Sunflower, and Tulip) using a Convolutional Neural Network (CNN). The model was developed with a fu…

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…

KLASIFIKASI KUALITAS BIJI KOPI MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NET…

Kopi merupakan salah satu komoditas unggulan Indonesia dengan nilai ekonomi yang tinggi. Penentuan kualitas biji kopi secara konvensional masih dilakukan secara manual oleh tenaga ahli, yang memerlukan waktu cukup lama dan berpotensi menimbulkan subjektivitas. Penelitian ini bertujuan untuk mengklasifikasikan kualitas biji kopi menggunakan algoritma Convolutional Neural Network (CNN) dengan ars…

KLASIFIKASI EMOSI MANUSIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATAS…

Advances in signal processing technology and machine learning have created opportunities to leverage electroencephalogram (EEG) signals for more advanced human emotion recognition. This study aims to develop a human emotion classification model based on a Convolutional Neural Network (CNN) using the SEED-IV dataset, focusing on four emotion classes: happy, sad, fear, and neutral. The data consi…

Networking for Career Success : 24 Acuan untuk Mengenali Orang Yang Tepat PAN…

Edition

-

ISBN/ISSN

979-785-002-1

Collation

107 hlm.; 23 cm

Series Title

-

Call Number

658. 02 Dar n

Mencapai Sukses dengan Networking: Seni Membangun Kontak Personal

Edition

-

ISBN/ISSN

978-979-062-175-6

Collation

xvii, 101 hlm. : ilus. ; 23 cm

Series Title

-

Call Number

650.1 Fly m

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…

DEEP LEARNING menggunakan Convolutional Neural Network: Teori dan Aplikasi

Edition

-

ISBN/ISSN

978-602-462-446-0

Collation

x, 79 hlm.; tab.; 23 cm.

Series Title

-

Call Number

004.6 Set d

the new relationship marketing; How to Build a Large, Loyal, Profitable Netwo…

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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 (…

MODEL BANGKITAN PERJALANAN DI KOTA PALEMBANG DENGAN MODEL ARTIFICIAL NEURAL N…

Bangkitan perjalanan merupakan tahap permodelan untuk memperkirakan jumlah banyaknya perjalanan yang berasal dari suatu zona atau tata guna lahan serta memperlihatkan banyaknya lalu lintas yang dibangkitkan oleh setiap tata guna lahan. Untuk menghasilkan suatu pemodelan yang menguhubungakan antara parameterparameter tertentu dengan jumlah perjalanan yang terjadi di lapangan dapat dikembangkan m…

Enterprise Knowledge Portals: Next Generation Portal Solutions for Dynamic In…

Edition

-

ISBN/ISSN

0-8144-0708-0

Collation

xi, 400 p.; 23 cm

Series Title

-

Call Number

658.403 Hei e

NETWORK FORENSICS RIC MESSIER

Edition

1

ISBN/ISSN

978-1-119-32828-5

Collation

Xxi, 360 p. ; 23 cm

Series Title

-

Call Number

710 Mes n

MAKE YOUR CONNECTIONS COUNT! THE SIX-STEP SYSTEM TO BUILD YOUR MEGANETWORK

Edition

-

ISBN/ISSN

983-72-0229-7

Collation

xxii, 226 p. : ill. ; 23 cm

Series Title

-

Call Number

006.754 Goi m

THE POWER in A LINK: OPEN DOORS, CLOSE DEALS, AND CHANGE THE WAY YOU DO BUSIN…

Edition

-

ISBN/ISSN

978-1-118-13467-2

Collation

xxii, 169 p. : ill. ; 24 cm

Series Title

-

Call Number

658.8 Gow p

PRINSIP-PRINSIP NETWORK PLANNING

Edition

-

ISBN/ISSN

-

Collation

vii, 309 hlm.: ilus.; 25 cm.

Series Title

-

Call Number

791.443 Ali p

The Political Economy of Trust: Institutions, Interests, and Inter-Firm Coope…

Edition

-

ISBN/ISSN

978-1-107-40430-4

Collation

xii, 244 p. : ill. ; 23 cm

Series Title

-

Call Number

338.8 Far p

PEMODELAN BANGKITAN PERJALANAN DENGAN METODE JARINGAN SARAF BUATAN (ARTIFICIA…

Bangkitan perjalanan merupakan tahap pemodelan yang memperkirakan jumlah pergerakan yang menuju ke suatu zona atau jumlah pergerakan yang meninggalkan suatu zona. Untuk menghasilkan suatu model hubungan yang mengaitkan parameter tata guna lahan dengan jumlah pergerakan, dapat dikembangkan dengan pendekatan logika. Pendekatan logika yang dipakai adalah metode Jaringan Saraf Buatan (JSB) berbasis…

Elastomeric Polymer Networks

Edition

1

ISBN/ISSN

0-13-249483-3

Collation

xiii, 354 p. : ill.; 24 cm.

Series Title

PRENTICE HALL POLYMER SCIENCE AND ENGINEERING SERIES

Call Number

678.2 Ela 1992

IMPLEMENTASI DAN ANALISIS DYNAMIC TRAFFIC MANAGEMENT DENGAN PARAMETER QUALITY…

This study examines the implementation and analysis of Dynamic Traffic Management on Software Defined Network (SDN) networks with performance assessment through Quality of Service (QoS) parameters using the t-Test method. The aim is to assess the impact of implementing dynamic traffic management on network performance by comparing conditions before and after the use of intent based routing on t…

KLASIFIKASI GENRE MUSIK MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATASET…

As music genres diversify and online music libraries grow, the need for automated, accurate genre classification has become essential for efficient music organization and recommendation. In this research, we developed a music genre classifier using a custom Convolutional Neural Network (CNN) trained on mel-spectrogram images derived from the GTZAN dataset. The GTZAN dataset is a widely used ben…