Modul Informatika Understanding By Design
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PROTOTYPE E-MODUL MODEL PEMBELAJARAN LI-PRO-GP
Author: Prof. Dr. Yuni Pantiwati, MM., M.Pd
language: id
Publisher: UMMPress
Release Date: 2024-07-08
Buku Prototype E-Modul Model Pembelajaran LI-PRO-GP (Pembelajaran Literasi Sains Berbasis Proyek dalam Gerakan Literasi Sekolah Terintegrasi Penguatan Pendidikan Karakter) merupkan buku yang dapat dijadikan sebagai referensi bagi mahasiswa Pendidikan Biologi, Pendidikan IPA, Teknologi Pendidikan dan serumpun pada bidang Pendidikan yang berhubungan dengan media, bahan ajar dan sumber belajar. Secara umum buku ini memuat mengenai dasar-dasar pembuatan prototype sebagai media pembelajaran dalam bentuk e-modul dengan model pembelajaran Li-Pro-GP. Selain itu pada buku ini juga dilengkapi dengan langkah-langkah integrasi skenario model pembelajaran Li-Pro-GP pada e-module, proses pengembangan prototype e-module model pembelajaran Li-Pro-GP hingga instrumen yang dibutuhkan dalam proses pengembangan. Oleh karena itu buku ini dapat dijadikan sebagai acuan atau panduan bagi pihak-pihak terkait jika memiliki ketertarikan dalam pengembangan media dan pembelajaran, khususnya dalam bentuk elektronik.
Bulletin of Electrical Engineering and Informatics
Author: Tole Sutikno
language: en
Publisher: Universitas Ahmad Dahlan
Release Date: 2012-03-01
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, electronics, instrumentation & control, telecommunication, computer and informatics engineering. Table of Contents Study, Survey and Analysis for Media Selection Rinal Harshadkumar Doshi, Rajkumar A. Soni, Bijendra Agrawal, Ravindra L. Naik 1-6 Literature Review of Permanent Magnet AC Motors and Drive for Automotive Application Rakesh Ghanshyamlal Shriwastava, M.B. Diagavane, S.R. Vaishnav 7-14 Case Study: Satisfying Skills Needed of Engineering Graduates through a Course on Innovation Raj L Desai, M. David Papendick 15-22 Designing a Secure Object Oriented Software Using Software Security Life Cycle Mohammad Obaidullah Bokhari, Mahtab Alam 23-28 Design And Implementation Of Error Correcting Codes For Transmission in Binary Symmetric Channel Victor N. Papilaya 29-36 Discrete Design Optimization of Small Open Type Dry Transformers Raju Basak, Arabinda Das, Ajay Sensarma, Amar Nath Sanyal 37-42 Super Resolution Imaging Needs Better Registration for Better Quality Results Varsha Hemant Patil, Kharate G K, Kamlapur Snehal Mohan 43-50 A Secure Image Encryption Algorithm Based on Hill Cipher System S.K. Muttoo, Deepika Aggarwal, Bhavya Ahuja 51-60 Solving Hashiwokakero Puzzle Game with Hashi Solving Techniques and Depth First Search Reza Firsandaya Malik, Rusdi Efendi, Eriska Amrina Pratiwi 61-68
Big Data
Author: Viktor Mayer-Schonberger
language: en
Publisher: Hachette UK
Release Date: 2013-03-14
New and expanded edition. An International Bestseller - Over One Million Copies Sold! Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.