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“Buku Referensi MSDM” mengulas secara komprehensif bagaimana Artificial Intelligence (AI) mengubah lanskap Manajemen Sumber Daya Manusia (MSDM). Pada bab pertama, pembaca akan diperkenalkan dengan dasar-dasar MSDM dan ruang lingkupnya, serta peran AI dalam MSDM modern. Manfaat dan tantangan integrasi AI dijelaskan dengan detail, disertai studi kasus implementasi AI di perusahaan global. Bab kedua membahas otomatisasi proses rekrutmen, penggunaan algoritma dan alat AI untuk seleksi karyawan, serta strategi untuk mengatasi bias dalam rekrutmen berbasis AI. Contoh sukses dan kegagalan dalam rekrutmen AI juga disajikan untuk memberikan perspektif praktis. Bab ketiga menjelaskan pengembangan ...
Buku ini adalah buku bunga rampai yang ditulis berdasarkan kegiatan-kegiatan yang telah dilaksanakan oleh mahasiswa kelompok 172 KKN DR UIN Sunan Gunung Djati Bandung pada tahun 2020 di daerah masing-masing sesuai asal atau tempat tinggal mahasiswa.
Directory of the alumni of Bandung Institute of Technology.
Study of Sundanese language reading and writing skills of sixth graders in West Java
Collection of author's personal letters on social and political condition of Indonesia with reference to Islamic viewpoint during the New Order era in 1980-1986.
This book offers meaningful work as one of the most relevant issues for 21st century workplaces, and organizations seeking to develop leadership and drive positive change. It uses Viktor Frankl’s legacy as a scientific and philosophical pioneer, while combining cutting edge research findings from the behavioural sciences, organizational and management research, and human resource development with outstanding examples of new work approaches of leadership from around the globe. In order to respond to 21st century demands on meaningful work, this book harnesses the power of living meaning, values, purpose and compassion in workplaces. Beate von Devivere shows managers, human resources experts...
This book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains. It examines supply chain network design and modeling, closed loop supply chains, and lean, green, resilient and agile or responsive networks, and also discusses corporate social responsibility and occupational health and safety. It particularly focuses on supply chain management under uncertainty – employing stochastic or nonlinear modeling, simulation based studies and optimization – multi-criteria decision-making and applications of fuzzy set theory, and covers various aspects of supply chain management such as risk management, supplier selection or the design of automated warehouses. Lastly, using experimental applications and practical case studies, it shows the impact of lean and green applications on vehicle/fleet management and operations management.