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# System prepended metadata

title: Project Buku LIPI

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# Project Buku LIPI 

* **Tema**: National Data Center
* **Target**: 150-200 pages.
* **Timeline**: 
    * Aug 2, 2021: kirim outline.
    * Jawaban, kemungkinan akhir agustus. 
    * Langsung Buat setelah Outline jadi. 
    * Target selesai dalam 3 bulan. (awal November) 

## Outline 
* What is Data and Why it is importance
    * Prologue: Build an advance data center
    * Thinking in Print: The definition data
        * What is the data?
        * Understanding the data
        * Manfaat Data
        * Why we have to manage the data?
        * 
* Perkembangan Data
    * Prologue: Data Dari waktu ke waktu
    * Data dan Aplikasinya - apa yang bisa dilakukan dengan data
    * Bagaimana negara maju memanfaatkan dan mengelola data
* Problem with Data Management in Indonesia
    * Kondisi Indonesia dalam pengelolaan data
    * 
* Connecting with data
    * Why we need data center?
    * What is the data center
    * How we build data center? (Requirements)
    * How we manage data center
* Human Resources
* Ide pengembangan data
* Tantangan
* Rekomendasi
* Conclusion


## Outline Brainstorming

* Introduction 
    * Problem analysis. 
    * What is data center.
    * The importance of data center.
* Infrastructure 
    * Requirements
    * How to build
    * Important 
* Human Resource 
* Manfaat 
    * konsistensi data / realibility data
    * Integrasi data 
    * Historical data / rekam jejak 
    * Transparancy 
    * Data Analysis
        * Machine Learning AI 
        * Analisis ekonomi 
        * Trend 
        * Mitigasi bencana 
    * Data crowdsourcing
* Solving data kependududkan 
    * e-ktp 
        * Menggunakan E-ktp sebagai one single ID.
        * Connectivity between ID Number. 
    * bpjs
    * npwp 
    * bantuan sosial 
    * sim dan pelanggaran  
    * passport
* Bayar Bayar 
    * Pbb?
    * Listrik 
    * Air 
* Logistic 
    * data hasil bumi 
    * data hasil pertanian
    * data kebutuhan 
* Digital currency / e-money
* Data air, kekeringan 
* Pemasaran 
* Tantangan 
    * keamanan data 
    * 
* Rekomendasi 
    * data crowdsourcing 
    * Regulasi / kebijakan 
* 