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DISEMINASI HASIL PENELITIAN RESEARCH GROUP SOFTWARE ENGINEERING, DATA SCIENCE, COMPUTATIONAL INTELLIGENT AND OPTIMIZATION, COMPUTER NETWORK AND SECURITY, INFORMATION SYSTEM
  • Language: id
  • Pages: 133

DISEMINASI HASIL PENELITIAN RESEARCH GROUP SOFTWARE ENGINEERING, DATA SCIENCE, COMPUTATIONAL INTELLIGENT AND OPTIMIZATION, COMPUTER NETWORK AND SECURITY, INFORMATION SYSTEM

Fakultas Ilmu Komputer (Fasilkom) Universitas Singaperbangsa Karawang memiliki 5 (lima) kelompok riset yaitu Software Engineering (SE), Data Science (DS), Computational Intelligent and Optimization (CIO), Computer Network and Security (CNS) dan Information System (IS). Setiap kelompok riset melakukan penelitian sesuai dengan roadmap penelitian di Fasilkom Universitas Singaperbangsa Karawang. Kegiatan penelitian juga melibatkan mahasiswa melalui kelompok riset, mata kuliah skripsi atau Tugas Akhir. Publikasi hasil penelitian dari 5 (lima) kelompok riset telah dilakukan agar basil penelitian bisa disampaikan kepada masyarakat melalui artikel ilmiah. Roadmap dan basil penelitian terkini dari setiap kelompok riset disampaikan dalam suatu kegiatan diseminasi basil penelitian Fakultas Ilmu Komputer (Fasilkom) Universitas Singaperbangsa Karawang pada bulan Desember 2021, dirangkum dan disajikan dalam buku ini. ft

MENUJU DESA CEMERLANG: Implementasi SDGs Desa Melalui Sembilan Pembelajaran Pojok Literasi
  • Language: id
  • Pages: 398

MENUJU DESA CEMERLANG: Implementasi SDGs Desa Melalui Sembilan Pembelajaran Pojok Literasi

SDGs Desa adalah konsep yang mengacu pada upaya pencapaian Tujuan Pembangunan Berkelanjutan (Sustainable Development Goals atau SDGs) di tingkat desa atau komunitas lokal. SDGs DesaDesaadalah serangkaian 17 tujuan yang ditetapkan oleh PBB pada tahun 2015 untuk mengatasi berbagai tantangan global, seperti kemiskinan, ketidaksetaraan, perubahan iklim, dan isu-isu lingkungan lainnya, dengan batas waktu hingga tahun 2030. SDGs Desa adalah konsep yang mengarahkan perhatian pada pelaksanaan tujuan-tujuan SDGs Desa di tingkat desa, yang sering kali merupakan tingkat paling mendasar dari pemerintahan dan kehidupan masyarakat. Dalam konteks SDGs Desa, tujuan-tujuan SDGs Desa disesuaikan dengan kondisi dan tantangan yang spesifik di setiap desa atau komunitas. Upaya SDGs Desa bertujuan untuk mencapai perkembangan yang berkelanjutan di tingkat lokal, termasuk aspek-aspek seperti pengentasan kemiskinan, akses layanan kesehatan, pendidikan,

Material Requirements Planning
  • Language: en
  • Pages: 324

Material Requirements Planning

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Cluster Analysis for Applications
  • Language: en
  • Pages: 376

Cluster Analysis for Applications

Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis. Comprised of 10 chapters, this book begins with an introduction to the subject of cluster analysis and its uses as well as category sorting problems and the need for cluster analy...

Data Mining
  • Language: en
  • Pages: 558

Data Mining

  • Type: Book
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  • Published: 2005-07-13
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  • Publisher: Elsevier

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output

Business Intelligence
  • Language: en
  • Pages: 314

Business Intelligence

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and ...

Data Mining
  • Language: en
  • Pages: 525

Data Mining

Much anticipated second edition of the highly-acclaimed reference on data mining and machine learning.

Association Rule Mining
  • Language: en
  • Pages: 247

Association Rule Mining

  • Type: Book
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  • Published: 2003-08-01
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  • Publisher: Springer

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

Classification : Methods for the Exploratory Analysis of Multivariate Data
  • Language: en
  • Pages: 210

Classification : Methods for the Exploratory Analysis of Multivariate Data

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Radio Monitoring
  • Language: en
  • Pages: 524

Radio Monitoring

Radio Monitoring: Problems, Methods, and Equipment offers a unified approach to fundamental aspects of Automated Radio Monitoring (ARM). The authors discuss the development, modeling, design, and manufacture of ARM systems. Data from established and recent research are presented and recommendations are made on methods and approaches for solving common problems in ARM. The authors also provide classification and detailed descriptions of modern high-efficient hardware-software ARM equipment, including the equipment for detection, radio direction-finding, parameters measurement and their analysis, and the identification and localization of the electromagnetic field sources. Examples of ARM equipment structure, applications, and software are provided to manage a variety of complicated interference environment in the industrial centers, inside of the buildings, and in the open terrain. This book provides a reference for professionals and researchers interested in deploying ARM technology as a tool for solving problems from radio frequency spectrum usage control.