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"Penelitian tentang berbagai metode pengenalan wajah atau face recognition telah berlangsung cukup lama tanpa menghasilkan banya sistem aplikasi yang berguna di kehidupan nyata. Salah satu bentuk nyata pemanfaatan metode pengenalan wajah adalah untuk keperluan autentikasi, misalnya untuk melewati sebuah pintu otomatis. Autentikasi melalui pengenalan wajah ini dapat menjawab beberapa permasalahan yang terjadi pada sistem autentikasi lainnya.Proyek mahasiswa ini bertujuan membangun suatu sistem pintu otomatis dengan mengandalkan berbagai metode pengenalan wajah yang imodifikasi dari metode konvensional. Metode yang digunakan bertujuan untuk mengenali data wajah yang sudah terdaftar atau belum terdaftar pada tahap training. Di antara metode‐metode tersebut, terdapat berbagai modifikasi yang dilakukan sesuai kebutuhan. Pada setiap metode, terdapat percobaan yang telah dilakukan beserta analisis dan kesimpulannya."

"This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users."

"This book highlights by careful documentation of developments what led to tracking the growth of deterministic disturbances inside the shear layer from receptivity to fully developed turbulent flow stages. Associated theoretical and numerical developments are addressed from basic level so that an uninitiated reader can also follow the materials which lead to the solution of a long-standing problem. Solving Navier-Stokes equation by direct numerical simulation (DNS) from the first principle has been considered as one of the most challenging problems of understanding what causes transition to turbulence. Therefore, this book is a very useful addition to advanced CFD and advanced fluid mechanics courses."

"This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks.This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN).The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully."

"Generative Artificial Intelligence (GAI) telah memegang penting dalam berbagai bidang, termasuk sebagai alat bantu pemrograman di Indonesia. Namun, penelitian mengenai adopsi GAI sebagai alat bantu pemrograman masih terbatas. Penelitian ini bertujuan menganalisis faktor yang memengaruhi niat karyawan di Indonesia untuk mengadopsi GAI dalam pemrograman, dengan fokus pada kualitas output kode dan kualitas sistem yang memengaruhi persepsi kegunaan serta kemudahan penggunaan GAI. Penelitian menggunakan metode PLS-SEM dalam analisis kuantitatif dengan 497 data valid, serta analisis kualitatif melalui wawancara 10 narasumber. Hasilnya menunjukkan bahwa persepsi kegunaan dipengaruhi oleh faktor presentation, structure, interactivity, responsiveness, understandability, assurance, dan reliability, sementara persepsi kemudahan penggunaan dipengaruhi oleh presentation, structure, responsiveness, assurance, dan reliability. Kedua persepsi ini memengaruhi niat adopsi GAI untuk pemrograman. Penelitian juga meneliti hubungan ini berdasarkan gender dan usia melalui analisis multigrup. Hasilnya memberikan saran bagi pengembang GAI untuk meningkatkan kualitas kode output dan sistem, yang terbukti memengaruhi persepsi pengguna tentang kegunaan dan kemudahan penggunaan GAI

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Generative Artificial Intelligence (GAI) has become significant in various fields, including as a programming aid in Indonesia. However, research on the adoption of GAI as a programming tool remains limited. This study aims to analyze the factors influencing employees in Indonesia to adopt GAI for programming, focusing on output code quality and system quality, which affect the perceived usefulness and ease of use of GAI. The study employs the PLS-SEM method for quantitative analysis with 497 valid data points and qualitative analysis through interviews with 10 informants. The results indicate that perceived usefulness is influenced by factors such as presentation, structure, interactivity, responsiveness, understandability, assurance, and reliability, while perceived ease of use is influenced by presentation, structure, responsiveness, assurance, and reliability. Both perceptions affect the intention to adopt GAI for programming. The study also examines these relationships based on gender and age using multigroup analysis. The findings provide practical suggestions for GAI developers to enhance the quality of output code and system, which significantly influence users' perceptions of the usefulness and ease of use of GAI."

"Generative Artificial Intelligence (GAI) telah memegang penting dalam berbagai bidang, termasuk sebagai alat bantu pemrograman di Indonesia. Namun, penelitian mengenai adopsi GAI sebagai alat bantu pemrograman masih terbatas. Penelitian ini bertujuan menganalisis faktor yang memengaruhi niat karyawan di Indonesia untuk mengadopsi GAI dalam pemrograman, dengan fokus pada kualitas output kode dan kualitas sistem yang memengaruhi persepsi kegunaan serta kemudahan penggunaan GAI. Penelitian menggunakan metode PLS-SEM dalam analisis kuantitatif dengan 497 data valid, serta analisis kualitatif melalui wawancara 10 narasumber. Hasilnya menunjukkan bahwa persepsi kegunaan dipengaruhi oleh faktor presentation, structure, interactivity, responsiveness, understandability, assurance, dan reliability, sementara persepsi kemudahan penggunaan dipengaruhi oleh presentation, structure, responsiveness, assurance, dan reliability. Kedua persepsi ini memengaruhi niat adopsi GAI untuk pemrograman. Penelitian juga meneliti hubungan ini berdasarkan gender dan usia melalui analisis multigrup. Hasilnya memberikan saran bagi pengembang GAI untuk meningkatkan kualitas kode output dan sistem, yang terbukti memengaruhi persepsi pengguna tentang kegunaan dan kemudahan penggunaan GAI

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Generative Artificial Intelligence (GAI) has become significant in various fields, including as a programming aid in Indonesia. However, research on the adoption of GAI as a programming tool remains limited. This study aims to analyze the factors influencing employees in Indonesia to adopt GAI for programming, focusing on output code quality and system quality, which affect the perceived usefulness and ease of use of GAI. The study employs the PLS-SEM method for quantitative analysis with 497 valid data points and qualitative analysis through interviews with 10 informants. The results indicate that perceived usefulness is influenced by factors such as presentation, structure, interactivity, responsiveness, understandability, assurance, and reliability, while perceived ease of use is influenced by presentation, structure, responsiveness, assurance, and reliability. Both perceptions affect the intention to adopt GAI for programming. The study also examines these relationships based on gender and age using multigroup analysis. The findings provide practical suggestions for GAI developers to enhance the quality of output code and system, which significantly influence users' perceptions of the usefulness and ease of use of GAI."

"This book addresses a wide range of issues relating to the theoretical substantiation of the necessity of Industry 4.0, the development of the methodological tools for its analysis and evaluation, and practical solutions for effectively managing this process. It particularly focuses on solving the problem of optimizing the development of Industry 4.0 in the context of knowledge economy formation. The book presents the authors' approach to studying the process of Industry 4.0 formation in connection with knowledge economy, and approach that allows the process to be studied in connection with the existing socio-economic and technological conditions. As a result, the conclusions and recommendations could be applied to modern economic systems and do not require any further elaboration. The presented research is based on modern economic theory scientific and methodological tools, including the tools of the theory of economic cycles, the theory of games, and the institutional economic theory. Raising awareness of the problem of Industry 4.0 formation, the book is of interest to a wide audience, including not only specialists and experts with a detailed knowledge of the topic, but also scholars, lecturers, and undergraduates of various fields of economics"

"Dunia saat ini berkembang pesat dengan kemampuan kecerdasan buatan (AI) untuk membuka cara-cara baru dan menarik untuk melibatkan pelanggan. Dengan memberikan penawaran inovatif dan pengalaman yang dipersonalisasi, AI memperkuat ikatan antara merek dan konsumen mereka, sehingga membedakan mereka dari para pesaing. Berdasarkan model Stimulus-Organism-Response (SOR), penelitian ini bertujuan untuk menganalisis bagaimana faktor stimulus dalam upaya pemasaran Artificial Intelligence (AI) berdampak pada perilaku loyalitas konsumen pada aplikasi layanan pesan antar makanan. Penelitian ini menggunakan pendekatan kuantitatif, deskriptif, dan survei cross-sectional. Structural Equation Model (SEM) digunakan untuk menganalisis 412 tanggapan dari survei kuesioner terhadap subjek Generasi Y dan Z yang menggunakan aplikasi pesan-antar makanan dari 2 platform terkemuka di industri ini, yaitu Gojek (GoFood) dan Grab (GrabFood). Hasil penelitian menunjukkan bahwa semua faktor stimulus dalam upaya pemasaran AI memengaruhi pengalaman merek, sementara hanya informasi dan interaksi yang memengaruhi ekuitas merek. Pengalaman dan ekuitas merek secara signifikan mempengaruhi tanggapan (preferensi merek dan niat penggunaan ulang). Implikasi dari penelitian ini dapat memungkinkan akademisi dan praktisi bisnis untuk memahami pengaruh AI terhadap pengalaman pengguna dan memberikan panduan untuk pengembangan strategi pemasaran dan branding untuk mengupayakan kepuasan pelanggan dengan menawarkan layanan online.

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Today's world thrives on artificial intelligence’s (AI) ability to unlock new and exciting ways to engage customers. By powering innovative offerings and personalized experiences, AI strengthens the bond between brands and their consumers, setting them apart from the competition. According to the Stimulus–Organism–Response (SOR) model, this study aims to analyze how stimulus factors in Artificial Intelligence (AI) marketing efforts impact consumer loyalty behavior in food delivery service applications. This research uses a quantitative, descriptive, and cross-sectional survey approach. Structural Equation Model (SEM) was used to analyze 412 responses from a questionnaire survey of Generation Y and Z subjects who used food delivery service applications from 2 leading platforms in the industry, such as Gojek (GoFood) and Grab (GrabFood). The results showed that all stimulus factors in AI marketing efforts affect brand experience, while only information and interaction affect brand equity. Both brand experience and equity significantly influence responses (brand preference and reuse intention).  Implications of this study can activate academia and business practitioners to understand the influence of AI on user experiences and provide a guide for the development of marketing and branding strategies to strive for customer satisfaction by offering online service."

"With success of ICEEE 2010 in Wuhan, China, and December 4 to 5, 2010, the second International Conference of Electrical and Electronics Engineering (ICEEE 2011) will be held in Macau, China, and December 1 to 2, 2011. This year ICEEE is sponsored by International Industrial Electronics Center, Hong Kong. This book deals with this conference."

"Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems."