The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Login
  • Librarian
  • 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}}

Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
    See More
  • General Material Designation
    See More
  • Location
    See More
  • Language
    See More
Found 2 from your keywords: author="Saputra, Rio Andika"
cover
PERBANDINGAN METODE K-NEAREST NEIGHBOUR DAN FUZZY K-NEAREST NEIGHBOUR DALAM K…
Comment Share
Saputra, Rio Andika

K-NN is such an effective and the most commonly used method for data classification. This method also believed as one of the most popular and easiest method to be implemented in this subject. But, there is also a method that has a lot of similarities with this one ( K-NN ) and known for its ability to determine an object category also by its weight, this method called Fuzzy K-NN. Fuzzy K-Neares…

Edition
-
ISBN/ISSN
-
Collation
xviii, VI-2 hlm, 29 cm
Series Title
-
Call Number
T413682020
Availability1
Add to basket
MARC DownloadCite
cover
ANALISIS BUTIR SOAL PADA BUKU TEMATIK TERPADU KELAS V TEMA 3 MAKANAN SEHAT KU…
Comment Share
Saputra, Rio Andika

This study aims to analyze questions based on the level of thinking skills in the Thematic textbook Class V Theme 3 Healthy Food Curriculum 2013 which is measured based on the cognitive level indicators on Bloom's Taxonomy. The object of this research is the questions in the Thematic book BUPENA Theme 3 Healthy Food Class V. The data analysis technique used is the Miles and Huberman model analy…

Edition
-
ISBN/ISSN
-
Collation
xv, 172 hlm. : ilus. ; 28 cm
Series Title
-
Call Number
T471982021
Availability1
Add to basket
MARC DownloadCite
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?

© 2026 — 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
Where do you want to share?