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PENGAUDITAN AKUNTANSI
Pengauditan akuntansi memegang peranan yang sangat penting dalam memastikan bahwa laporan keuangan yang disajikan oleh suatu entitas sesuai dengan prinsip-prinsip akuntansi yang berlaku umum. Selain itu, audit juga menjadi alat yang esensial dalam mengidentifikasi dan mencegah kesalahan serta kecurangan dalam laporan keuangan, sehingga dapat meningkatkan transparansi dan akuntabilitas di dalam suatu organisasi.
PENGANTAR PERPAJAKAN
Pengantar Perpajakan adalah suatu bidang yang mempelajari sistem, prinsip, dan praktik terkait dengan pengumpulan dan pengelolaan pendapatan oleh pemerintah untuk membiayai pengeluaran publik. Perpajakan merupakan instrumen penting dalam menjaga stabilitas ekonomi suatu negara, serta menjadi sumber pendapatan utama bagi pemerintah dalam menyediakan layanan publik, infrastruktur, dan program-program sosial.
INDIKATOR PENGUKURAN PELAPORAN KEBERLANJUTAN
Indikator Pengukuran Pelaporan Keberlanjutan berisi materi terkait kajian Sustainability Assessment Tools (SATs) diantaranya Sustainable Development Goals (SDGs); Global Reporting Initiatiove (GRI); Sustainability Accounting Standards Board (SASB); Universitas Indonesia Green Metrics (UIGM), Peraturan Otoritas Jasa Keuangan (POJK). Materi ini akan membekali mahasiswa, peneliti maupun para pembaca tentang bagaimana mapping SATs yang dapat digunakan sebagai acuan dalam memonitoring pelaporan keberlanjutan suatu entitas.
Pengantar Auditing
Buku ajar Pengantar Auditing ini menyajikan pemahaman komprehensif tentang dasar-dasar audit yang meliputi teori, konsep, serta prosedur yang diterapkan dalam audit keuangan. Dimulai dengan pembahasan tentang teori dan konsep dasar auditing, buku ini menguraikan tujuan dan ruang lingkup audit, serta etika profesi yang harus dijaga oleh auditor dalam melaksanakan tugasnya. Buku ini juga menekankan peran penting auditor dalam memastikan akuntabilitas dan integritas laporan keuangan, serta prosedur audit yang mencakup pengumpulan bukti, pengujian dan pengendalian internal, serta teknik substantif yang digunakan untuk memverifikasi kebenaran laporan keuangan. Selanjutnya, buku ini membahas secar...
American Stories
"This is the philosophy behind American Stories: A History of the United States. A single purpose has motivated the creation of this book: to enhance the accessibility of American history and thereby increase students' chances of success. This goal is what brought me to the classroom, and it's one I think I share with you. If American Stories: A History of the United States contributes to achieving this goal, we all-teachers and students-will be the winners"--
Business Process Management
Business process management is usually treated from two different perspectives: business administration and computer science. While business administration professionals tend to consider information technology as a subordinate aspect in business process management for experts to handle, by contrast computer science professionals often consider business goals and organizational regulations as terms that do not deserve much thought but require the appropriate level of abstraction. Matthias Weske argues that all communities involved need to have a common understanding of the different aspects of business process management. To this end, he details the complete business process lifecycle from th...
American Stories
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Flexible Regression and Smoothing
This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the response variable has any parametric (continuous, discrete or mixed) distribution which might be heavy- or light-tailed, and positively or negatively skewed. In addition, all the parameters of the distribution (location, scale, shape) can be modelled as linear or...
Generalized Additive Models
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
