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…
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…
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…
Pattern recognition is an essential aspect of artificial intelligence with various applications, including face, voice, and character recognition. In the healthcare field, this technology can support navigation systems for medicine delivery robots, reducing direct physical contact between medical staff and patients with infectious diseases. This research focuses on applying the Weightless Neura…
Indonesia, with its high biodiversity, is home to 1,539 bird species, some of which have morphological similarities that make manual identification challenging.This research aims to develop a bird species classification model in Indonesia using a Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture to improve identification accuracy and speed. The model was trained using 10 …
The demand for accurate positioning systems is increasing with the growth of the Internet of Things (IoT) and location-based applications. GPS is limited in indoor environments, making Wi-Fi-based multilateration with Received Signal Strength Indicator (RSSI) a suitable alternative. This study designs a sensor node placement system using ESP32 as a master node and six slave nodes with ESP-NOW c…
Stroke is a disease in which the sufferer experiences bleeding or blockage of the brain arteries. The focus of this research is the use of Convolutional Neural Network (CNN) method in stroke disease classification and Explainable Artificial Intelligence (XAI) method as an approach to understand more deeply the decision-making process used by the CNN model. There are 3 models used by OzNet, ResN…
The U-Net architecture has a fairly deep network. The addition of layers in the U-Net architecture network can increase the complexity of the U-Net network which can affect the training time to be longer and parameter enlargement. This study modifies U-Net by reducing the complexity of U-Net by removing the bridge part of U-Net. The removal of the bridge in U-Net is known as V-Net architecture.…
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Steel is still the choice as a structural material for earthquake-prone areas, because in addition to having high strength, the elastic properties of steel contribute to better ductility and energy dissipation than concrete. In relation to seismic problems, there are several earthquake-resistant steel structural systems that can be applied to buildings, namely; Moment Resisting Frame (MRF), Ecc…
This book provides a comprehensive overview of network behavior analysis that mines Internet traffic data in order to extract, model, and make sense of behavioral patterns in Internet “objects” such as end hosts, smartphones, Internet of things, and applications. The objective of this book is to fill the book publication gap in network behavior analysis, which has recently become an increas…
This book highlights future research directions and latent solutions by integrating AI and Blockchain 6G networks, comprising computation efficiency, algorithms robustness, hardware development and energy management. This book brings together leading researchers in Academia and industry from diverse backgrounds to deliver to the technical community an outline of emerging technologies, advanced …
This textbook introduces readers to digital business from a management standpoint. It provides an overview of the foundations of digital business with basics, activities and success factors, and an analytical view on user behavior. Dedicated chapters on mobile and social media present fundamental aspects, discuss applications and address key success factors. The Internet of Things (IoT) is subs…
This book constitutes proceedings of the 7th International Conference on Information, Communication and Computing Technology, ICICCT 2022, held in New Delhi, India, in July 2022. The 11 papers presented in this volume were carefully reviewed and selected from 65 submissions. The papers cover a great variety of topics, such as wireless networks, deep learning, machine learning, neural networks,…
This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2022, which took place in Munich, Germany, in September 2022. The 23 full papers included in this volume were carefully reviewed and selected from 27 submissions. · 17th International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems (DECSoS 202…
Consumers’ beliefs and attitudes towards online sales significantly influence buying behavior on the internet. However, the impact of these thoughts and beliefs on the decision to make an online purchase is not direct. It can be moderated by the emotions experienced while browsing an e-commerce website. Impulse buying in particular is influenced by a number of factors, for example how stimula…
This book constitutes revised selected papers from the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 31 full papers along with the 4 short papers were carefully reviewed and selected from 151 submissions.The papers are organized in the …
This book constitutes the proceedings of the 14th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2022, held in Linköping, Sweden, during September 6–8, 2022, in conjunction with IFIP WG 8.5 Electronic Government (EGOV 2022), and the Conference for E-Democracy and Open Government Conference (CeDEM 2022). The 12 full papers presented were carefully reviewed and select…
This volume constitutes the proceedings of the 19th International Conference on Services Computing 2022, SCC 2022, held as part of SCF 2022 during December 10-14, 2022 in Honolulu, USA. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 15 submissions. It covers the science and technology of leveraging computing and information technology to …
Reverse mathematics studies the complexity of proving mathematical theorems and solving mathematical problems. Typical questions include: Can we prove this result without first proving that one? Can a computer solve this problem? A highly active part of mathematical logic and computability theory, the subject offers beautiful results as well as significant foundational insights. This text prov…
This book constitutes the refereed post-conference proceedings of the 6th International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2022, held in May 2022. Due to COVID-19 pandemic the conference was held virtually. The 18 revised full papers were carefully reviewed and selected from 70 submissions. The papers are organized in thematic sessions …
The best route determining system is part of the Intelligent Transportation concept where cities that implement this concept are called Smart Cities. The study used an object detection system called You Only Look Once version 8 (YOLOv8) to detect and calculate the number of vehicles based on CCTV recordings. In addition, it uses Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) o…