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Kuis Data Terbuka dan Kualitas Data

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Kuis Data Terbuka dan Kualitas Data

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Data: definisi, jenis, dan kualitas

Created by

GABRIELA JILLY TANGKAWAROW
GABRIELA JILLY TANGKAWAROW
Indonesia

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Kuis Data Terbuka dan Kualitas Data
 

Kuis Data Terbuka dan Kualitas DataOnline version

Data: definisi, jenis, dan kualitas

by GABRIELA JILLY TANGKAWAROW
1

Apa definisi data menurut konteks informatika dan analisis data?

2

Apa itu data terbuka (Open Data)?

3

Sebutkan tiga jenis data berdasarkan strukturnya.

4

Mengapa kualitas data sangat penting?

5

Apa yang dimaksud dengan data cleaning?

6

Apa contoh aktivitas data cleaning?

7

Apa bedanya data mentah dengan data bersih?

8

Sebutkan beberapa dimensi kualitas data.

9

Apa itu metadata dalam konteks data?

10

Sebutkan tantangan umum dalam kualitas data open data.

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Data adalah fakta atau nilai yang bisa disimpan dan diproses untuk menghasilkan informasi.

Open Data memiliki lisensi yang memungkinkan akses dan reuse secara luas.

Data terstruktur cocok untuk basis data; semi-terstruktur dan tidak terstruktur kurang rapi.

Data berkualitas tinggi mengarah pada keputusan yang lebih tepat dan proses lebih efisien.

Data cleaning mencakup deduplikasi, koreksi kesalahan, dan standarisasi format.

Contoh umum: hapus duplikat, perbaiki format, isi nilai hilang dengan wajar.

Data bersih siap dianalisis, data mentah memerlukan pembersihan terlebih dahulu.

Kualitas data meliputi akurasi, kelengkapan, konsistensi, relevansi, dsb.

Metadata memudahkan penemuan, pemahaman, dan penggunaan data.

Open data menghadapi masalah seperti kelengkapan, format konsistensi, serta lisensi penggunaan.

 
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