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Pengantar Interaksi Manusia Komputer

Interaksi manusia dan komputer (IMK) merupakan ilmu yang mempelajari hubungan antara manusia dan komputer yang di dalamnya mempelajari perancangan, evaluasi, dan implementasi antarmuka pengguna komputer agar mudah digunakan oleh manusia. IMK berusaha menemukan cara yang paling efisien untuk merancang pesan elektronik melalui serangkaian proses, dialog dan kegiatan yang dilakukan oleh manusia untuk berinteraksi dengan komputer yang keduanya saling memberikan masukan dan umpan balik melalui sebuah antarmuka untuk memperoleh hasil akhir yang diharapkan. Buku ini memmbahas tentang Konsep Interaksi Manusia-Komputer, Memahami Pengguna, Jenis Gaya Interaksi, Proses Desain, Reka Bentuk (Desain), Kebutuhan dan Keinginan Pengguna, Penilaian, Kerangka Kerja Penilaian, Pengamatan Terhadap Pengguna, Berhadapan dengan Identifikasi, dan Berhadapan Dengan Para Ahli. Sesuai dengan tingkat kebutuhan praktis, buku ini sangat cocok sebagai bahan referensi awal bagi mereka yang ingin mempelajari dasar-dasar IMK dalam rangka pengembangan aplikasi-aplikasi yang melibatkan adanya interaksi dengan manusia dalam pengembangannya.

Interaksi manusia dan komputer (IMK) merupakan ilmu yang mempelajari hubungan antara manusia dan komputer yang di dalamnya mempelajari perancangan, evaluasi, dan implementasi antarmuka pengguna komputer agar mudah digunakan oleh manusia.

Buku Ajar Dasar-Dasar Akuntansi

Akuntansi seringkali dinyatakan sebagai bahasa perusahaan yang berguna untuk memberikan informasi yang berupa data-data keuangan perusahaan yang dapat digunakan guna pengambilan keputusan. Setiap peru-sahaan memerlukan dua macam informasi tentang peru-sahaannya yaitu informasi mengenai nilai perusahaan dan informasi tentang laba/rugi usaha.

Buku Buku Ajar Dasar-Dasar Akuntansi ini diterbitkan oleh penerbit deepublish dan tersedia juga versi cetaknya.

Coordinate Implementation of Customer Service Strategies

Monitor a safe workplace (Business Services Training Package, Certificate IV, common unit 411A)

Managing the Future of Southeast Asia's Valuable Tropical Rainforests

A Practitioner's Guide to Forest Genetics

This book provides current knowledge about tropical rain forest genetics and its implications for the profitable and sustainable management of forest resources in Southeast Asia. Each chapter covers a major topic in the evolutionary biology of tropical rain forest trees and how management systems interact with these natural dynamics. Authors provide an up-to-date and insightful review of important scientific findings and conclude with practical recommendations for the modern forester in Southeast Asia. Several chapters provide compelling discussions about commonly neglected aspects of tropical forestry, including the impact of historical dynamics of climate change, anthropogenic threats to genetic viability, and the important role of wildlife in maintaining genetic diversity. These discussions will promote a deeper appreciation of not only the economic value of forests, but also their mystery and intangible values. The silvicultural industry in Southeast Asia is a major contributor to the regional economy but the connection between scientific research and the application and development of policy could be improved upon. This book will help bridge that gap. This book will prove beneficial reading for forestry students, professional forest managers, and policy makers, who do not have technical training in genetics. It is also intended for non-specialists who are involved in the tropical timber industry, from the local forest manager to the international timber purchasing agent.

Southeast Asian forests are largely known for their unique and highly diverse
biological resources, valuable timber and non-timber species and natural
products of medicinal value yet to be exploited. Sustainable management of
these forests has become an international agenda since the signing of the
Convention on Biological Diversity in Rio de Janeiro 1992, requiring actions at
the regional and national levels. International and national funding for research
on biodiversity and ...

Second Chance

A man with inoperable cancer goes to Hawaii in search of peace and tranquility, and meets someone with a unique philosophy of life and happiness

SECOND CHANCE THE BOOK THAT HAS INSPIRED PEOPLE To CHANGE
THEIR LIVES “In my counseling and teaching practice, we give our clients a copy
of Second Chance injust the way adoctor would be sure to give a prescription to
a patient. My colleagues and I know that the very reading of Second Chance will
have atherapeutic effect on our clients. I know of no book that has more
condensed wisdom and inspiration than Second Chance. When I tell others that I
know of a ...

Pocket Data Mining

Big Data on Small Devices

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Mobile data mining, data stream mining, and parallel and distributed data mining
and mobile software agents are four areas that collectively contributed to the
possibility of developing PDM. Mobile software agents as a flexible software ...