Sebanyak 85 item atau buku ditemukan

Manajemen Risiko Bisnis dan Environmental, Social, and Governance (ESG) Teori dan Hasil Penelitian

Dalam menjalankan suatu kegiatan bisnis, merupakan suatu keniscayaan di mana pelaku usaha dihadapkan pada risiko. Risiko ini muncul akibat adanya ketidakpastian dalam hampir segala aktivitas perusahaan. Hal ini menunjukkan peran penting manajemen risiko dalam mengelola risiko yang melekat (risiko inheren) dalam suatu entitas. Manajemen risiko tidak hanya diperlukan oleh industri keuangan, melainkan sektor riil juga berkepentingan dalam pengelolaan risiko karena apapun usaha yang dilakukan selalu terpapar risiko. Buku ini lebih diarahkan pada bagaimana memitigasi risiko bisnis dan mengelola aspek ESG di perusahaan.

Dalam menjalankan suatu kegiatan bisnis, merupakan suatu keniscayaan di mana pelaku usaha dihadapkan pada risiko.

Building Great Software Engineering Teams

Recruiting, Hiring, and Managing Your Team from Startup to Success

Building Great Software Engineering Teams provides engineering leaders, startup founders, and CTOs concrete, industry-proven guidance and techniques for recruiting, hiring, and managing software engineers in a fast-paced, competitive environment. With so much at stake, the challenge of scaling up a team can be intimidating. Engineering leaders in growing companies of all sizes need to know how to find great candidates, create effective interviewing and hiring processes, bring out the best in people and their work, provide meaningful career development, learn to spot warning signs in their team, and manage their people for long-term success. Author Josh Tyler has spent nearly a decade building teams in high-growth startups, experimenting with every aspect of the task to see what works best. He draws on this experience to outline specific, detailed solutions augmented by instructive stories from his own experience. In this book you’ll learn how to build your team, starting with your first hire and continuing through the stages of development as you manage your team for growth and success. Organized to cover each step of the process in the order you’ll likely face them, and highlighted by stories of success and failure, it provides an easy-to-understand recipe for creating your high-powered engineering team.What you’ll learn Effective techniques for finding engineering candidates for your company, including how to make your company more attractive to prospective employees and tips for navigating the employment visa process How to leverage commonly overlooked resources for finding employees, such as hiring from other geographic regions and how to approach college recruiting How to successfully hire the best candidates, from first contact through making an offer and getting it accepted How to manage engineers for optimum morale and performance, foster confidence throughout your organization, and promote career development for your team members What to expect as you build an engineering team: common challenges, growing pains, and solutions How to use team-building skills to propel your career as individual contributor Who this book is for The primary audience is engineering leaders, startup founders, CTOs, and others tasked with building an engineering team to fulfill their company’s mission. The secondary audience is any engineering manager or senior engineer interested in learning more about how to hire or manage engineers effectively. Table of Contents The Challenge of Building an Engineering Team from the Ground Up An Enlightened Approach to Recruiting Six Destructive Myths about Recruiting Software Engineers Eight Steps to Recruiting Success Hiring Is Hard The Myth of the Ninja Rockstar Developer The Hiring Decision Checklist Making Interviews Fun for Your Team Why We Don’t Allow Java in Job Interviews Do I Want to be a Manager? A Manager’s Most Important Deliverable Technical vs Management Tracks: Helping Your People Grow Tricks of the Trade for Engineering Managers Advice to Give Engineers on Finding a Great Job and Growing in Their Careers

In this book you’ll learn how to build your team, starting with your first hire and continuing through the stages of development as you manage your team for growth and success.

Sistem Pakar & Implementasi Metodenya

AKUNTANSI BANK SYARIAH

Buku ini disusun dengan tujuan untuk memberikan kemudahan kepada mahasiswa dalam proses perkuliahan Studi Kelayakan Bisnis . Buku ini disajikan dalam tujuh bagian yang berisi aspek-aspek bahasan Studi Kelayakan Bisnis, seperti Aspek Pasar dan Pemasaran, Aspek Produksi dan Operasional, Aspek Manajemen , Aspek Hukum, Aspek Keuangan, Aspek Sosial, Ekonomi dan Aspek AMDAL. Selain itu, buku ini harapannya dapat menjadi literatur dan acuan dalam pembuatan Laporan Studi Kelayakan Bisnis. Munculnya beragam jenis model bisnis dan aneka skala bisnis yang ada mengharuskan adanya proses uji kelayakan yang nantinya memberikan gambaran tentang kondisi aspek–aspek yang ada dalam ranah internal maupun eksternal bisnis.

Bank Syariah Dari Teori Ke Praktik. Jakarta: Gema Insani. Bank Indonesia. 2013. Pedoman Akuntansi Perbankan Syariah Indonesia. Fatwa Dewan Syariah Nasional Nomor 1-3 Tahun 2000 Tentang Giro, Tabungan dan Deposito.

Data Mining : Algoritma dan Implementasi

Data mining dapat diterapkan untuk menggali nilai tambah dari suatu kumpulan data berupa pengetahuan yang selama ini tidak diketahui secara manual. Terdapat beberapa teknik yang digunakan dalam data mining, salah satu teknik data mining adalah clustering. Terdapat dua jenis metode clustering yang digunakan dalam pengelompokkan data, yaitu hierarchical clustering dan non-hierarchical clustering. Buku ini terdiri dari 10 (sepuluh) bab, yaitu : Bab 1 Pengelompokkan Data dengan Algoritma K-Means Bab 2 Pengelompokan Data dengan Algoritma K-Medoids Bab 3 Asosiasi Data Mining dengan Algoritma A Priori Bab 4 Pengklasifikasian Data dengan Algoritma C4.5 Bab 5 Klasifikasi Citra dengan K-NN Bab 6 Penerapan Data Mining dengan Particle Swarm Optimization dan Decision Tree C4.5 Bab 7 Klasifikasi Data Menggunakan Algoritma Naive Bayes Bab 8 Implementasi Data Mining dengan Regresi Linear Berganda Bab 9 Performa klasifikasi Dataset dengan metode Correlation Based Feature Selection (CFS) Bab 10 Text Mining : Twitter Analysis

Buku ini terdiri dari 10 (sepuluh) bab, yaitu : Bab 1 Pengelompokkan Data dengan Algoritma K-Means Bab 2 Pengelompokan Data dengan Algoritma K-Medoids Bab 3 Asosiasi Data Mining dengan Algoritma A Priori Bab 4 Pengklasifikasian Data dengan ...

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