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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
STATISTIKA PENDIDIKAN : Jalan Sukses Mengolah & Menganalisis Data
Buku ini di awali dengan pembahasan mengenai konsep dasar statistik. Pada bab selanjutnya membahas tentang Pengumpulan dan Penyajian Data, pada bab 3 tentang Ukuran Pemusatan Data & Ukuran Letak, pada bab 4 tentang Ukuran Penyebaran Data, selanjutnya tentang Teknik Sampling, Pengujian Hipotesis, Pengujian Normalitas, Pengujian Homogenitas, Pengujian Linearitas, Analisis Korelasi. Buku ini juga berisi tentang Simulasi Estimasi Peningkatan Ekonomi Provinsi Jawa Barat Berbasis Regression Analysis Model, dan yang terakhir tentang Analisis Varian. Buku ini disusun agar dapat membantu para pembaca secara umum serta para akademisi secara khusus dalam mempelajari konsep-konsep Statistika Pendidikan terutama bagi kaum awam yang belum mengenal bagaimana tentang statistika itu sendiri.
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,
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...
Soft Computing Applications
This book provides a reference guide for researchers, scientists and industrialists working in the area of soft computing, and highlights the latest advances in and applications of soft computing techniques in multidisciplinary areas. Gathering papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2016), which was held in Jaipur, Rajasthan, India, on December 28–30, 2016, it focuses on applying soft computing to solve real-life problems arising in various domains, from medical and healthcare to supply chain management, image processing and cryptanalysis. The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques to address complex and intricate problems in diverse spheres of life. The versatility of these techniques has made them a favourite among scientists and researchers alike.
Making the News Popular
The professional judgment of gatekeepers defined the American news agenda for decades. Making the News Popular examines how subsequent events brought on a post-professional period that opened the door for imagining that consumer preferences should drive news production--and unleashed both crisis and opportunity on journalistic institutions. Anthony Nadler charts a paradigm shift, from market research's reach into the editorial suite in the 1970s through contemporary experiments in collaborative filtering and social news sites like Reddit and Digg. As Nadler shows, the transition was and is a rocky one. It also goes back much further than many experts suppose. Idealized visions of demand-driv...
Data Mining
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
Empirical-statistical Downscaling
Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
Alexander von Humboldt
This book aims to view and to understand Alexander von Humboldt from different perspectives and in varying disciplinary contexts. His contributions addressed numerous topics in the earth but also life sciences—spanning from geo-botany, climatology, paleontology, oceanography, mineralogy, resources, and hydrogeology to links between the environmental impact of humans, erosion, and climate change. From the very beginning, he paved the way for a modern, integrated earth system science approach to decipher, characterize, and model the different forcing factors and their feedback mechanisms. It becomes obvious that Humboldt’s holistic approach is far beyond simple description and empiric data collection. As documented and analyzed in the different texts of this volume, he combines observation and analysis with emotions and subjective perceptions in a very affectionate way. However, this publication does not intend to add another encyclopedic text compilation but to observe and critically analyze this unique personality ́s relevance in a modern context, particularly in discussing environmental and social key issues in the twenty-first century.
