The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Login
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of PERBANDINGAN ALGORITMA K-MEANS DAN K-MEDOIDS DALAM CLUSTERING RATA-RATA PENAMBAHAN KASUS COVID-19 BERDASARKAN KOTA/KABUPATEN DI PROVINSI SUMATERA SELATAN

Text

PERBANDINGAN ALGORITMA K-MEANS DAN K-MEDOIDS DALAM CLUSTERING RATA-RATA PENAMBAHAN KASUS COVID-19 BERDASARKAN KOTA/KABUPATEN DI PROVINSI SUMATERA SELATAN

Nirwana, Sevi Dian - Personal Name;

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

The spread is quite wide and fast, making the Covid-19 pandemic in South Sumatra have a negative impact on all sectors such as health, employment and the economy. With the government's policy of grouping the Covid-19 handling areas into 4 zones, it is necessary to evaluate whether the grouping of these areas is appropriate using data mining clustering techniques with the K-Means and K-Medoids algorithms. From the results of testing the K-Means algorithm, the best DBI value is 0.078 at K=2. While the K-Medoids algorithm gives the best DBI value is 0.250 at K=3. So that the conclusions obtained, it is recommended that the distribution of the Covid-19 handling area in the province of South Sumatra be divided into 2 clusters (namely Palembang City and Outside Palembang City) or into 3 clusters (namely Palembang City, close to Palembang City and far from Palembang City).


Availability
Inventory Code Barcode Call Number Location Status
2207002388T74978T749782022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T749782022
Publisher
Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer., 2022
Collation
xiv, 66 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Pengolahan Data
Prodi Sistem Informasi
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • PERBANDINGAN ALGORITMA K-MEANS DAN K-MEDOIDS DALAM CLUSTERING RATA-RATA PENAMBAHAN KASUS COVID-19 BERDASARKAN KOTA/KABUPATEN DI PROVINSI SUMATERA SELATAN
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2025 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search