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Pembuatan Aplikasi Klasifikasi Otomatis Laporan Keluhan Warga di Polrestabes Semarang

Edu Komputika Journal · Vol. 4 No. 1 (2018)

DOI
10.15294/edukomputika.v4i1.20548
ISSN
2599-297X, 2252-6811
Published
2018-01-12
Publisher
Jurusan Teknik Elektro Universitas Negeri Semarang
Language
eng

Abstract

This research aims to simplify the classification document of report complaints in Polrestabes Semarang. This research used cosine similarity algorithm and nearest neighbor algorithm on classification process. Cosine similarity measure between two vector of an inner product space. Nearest neighbor calculate vector distance of the document to another. The result show that the accuracy of cosine similarity algorithm is better than nearest neighbor algorithm. It has the value 93,334% for cosine similarity algorithm and 80% for nearest neighbor algorithm.

Collaboration network of the authors

11 authors · 19 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Awang HarizkaAffiliation unknown1
Ulfah Mediaty AriefState University of Semarang1
Sri SukamtaAffiliation unknown1
Hesti Wahyu NugrohoAffiliation unknown1
Alfian Nur RahmadAffiliation unknown1
Muhammad Azil MaskurAffiliation unknown1
Ali MasyharAffiliation unknown1
Nadhira Madania DimartiAffiliation unknown1
Sunusi DaudaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edukom/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Pembuatan Aplikasi Klasifikasi Otomatis Laporan Keluhan Warga di Polrestabes Semarang</dc:title>
	<dc:creator>Akbar, Dawam Muhammad</dc:creator>
	<dc:creator>Pribadi, Feddy Setio</dc:creator>
	<dc:description xml:lang="en-US">This research aims to simplify the classification document of report complaints in Polrestabes Semarang. This research used cosine similarity algorithm and nearest neighbor algorithm on classification process. Cosine similarity measure between two vector of an inner product space. Nearest neighbor calculate vector distance of the document to another. The result show that the accuracy of cosine similarity algorithm is better than nearest neighbor algorithm. It has the value 93,334% for cosine similarity algorithm and 80% for nearest neighbor algorithm.</dc:description>
	<dc:publisher xml:lang="en-US">Jurusan Teknik Elektro Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-01-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edukom/article/view/20548</dc:identifier>
	<dc:identifier>10.15294/edukomputika.v4i1.20548</dc:identifier>
	<dc:source xml:lang="en-US">Edu Komputika Journal; Vol 4 No 1 (2017): Edu Komputika Journal; 68</dc:source>
	<dc:source>2599-297X</dc:source>
	<dc:source>2252-6811</dc:source>
	<dc:source>10.15294/edukomputika.v4i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edukom/article/view/20548/9749</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Edu Komputika Journal</dc:rights>
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