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Open access Jurnal SINTA 3

KLASIFIKASI JENIS PELAPORAN DI LAMAN PROPAM POLDA SULAWESI TENGGARA MENGGUNAKAN METODE ROCCHIO

SemanTIK: Teknik Informasi · Vol. 5 No. 1 (2019) · pp. 167–174

DOI
10.55679/semantik.v5i1.5993
ISSN
2502-8928, 2460-1446
Published
2019-06-30
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Service is the major thing in an organization. PROPAM Polda Sultra is one of the government institutions that have utilized telecommunications technology, namely complaints or online reporting pages. This technology is used to simplify and accelerate the delivery of information from the public to PROPAM Polda Sultra either in the form of complaints or reports for police who violate. The increasing number of reports of public complaints every day resulted in many reports that have not been responded to or unread. Therefore, the need to classify complaints reports automatically is needed to make time and human resources effectively in grouping complaints reports. The research was conducted with using Text Mining, the Rocchio method and using Tf-IDF weighting.Based on the results of testing, Rocchio algorithm has a good performance for the classification of types complaint report. This is evidenced in manual testing and system testing using complain report and then classified into eighth categories of Immoral, Traffic Accident, Narcotics, Poor Service, Persecution, Threatening, Insult and Deviations in Carrying Out Tasks (Case Handling). The results of classification using 79 reports obtained 89,87% accuracy.Keywords—Service, Public Complaints, Rocchio, Text Mining, TF-IDFDOI: 10.5281/zenodo.3255093

Keywords

Collaboration network of the authors

40 authors · 129 co-authorship links · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Adha Mashur SajiahUniversitas Halu Oleo12
La SurimiUniversitas Halu Oleo11
Arman ArmanUniversitas Halu Oleo7
Bambang PramonoUniversitas Halu Oleo7
Edi CahyonoUniversitas Halu Oleo6
LM. Fid AksaraUniversitas Halu Oleo5
Sutardi SutardiUniversitas Halu Oleo5
ARMAN FASLIHAffiliation unknown5
Rahmat RamadhanUniversitas Halu Oleo4
L.M. Fid AksaraUniversitas Halu Oleo4
Andi TenriawaruUniversitas Halu Oleo3
Isnawaty IsnawatyAffiliation unknown3
Umar RamdaniUniversitas Halu Oleo3
Halim HalimUniversitas Halu Oleo3
Gusti Arviana RahmanUniversitas Halu Oleo2
Muhammad ArfanAffiliation unknown2
Fitria Rihin UyunUniversitas Halu Oleo2
Statiswaty StatiswatyUniversitas Halu Oleo2
Yuwanda PurnamasariAffiliation unknown2
Muhammad Zakaria UmarAffiliation unknown2
Ambo Wonua NusantaraAffiliation unknown2
Rosliana EsoAffiliation unknown2
Dian Safitri DurukaUniversitas Halu Oleo1
Wa Ode IrmayadaniUniversitas Halu Oleo1
Umu KhabibahUniversitas Halu Oleo1
Amal AnugraUniversitas Halu Oleo1
Gunawan GunawanUniversitas Halu Oleo1
La Ode Muhammad Hafidz Abdillah Sam MongkitoUniversitas Halu Oleo1
Budi Wijaya RaufUniversitas Halu Oleo1
Ferdinand Murni HamunduUniversitas Halu Oleo1
Fazlul Rachmat MubbaraqUniversitas Halu Oleo1
Sri Ayu LestariAffiliation unknown1
Achirul Slamet SugiartoAffiliation unknown1
La Ode SaidiAffiliation unknown1
Ferdinand Murni HamunduAffiliation unknown1
SahrulAffiliation unknown1
Nurul Hajra Hadijah HajraUniversitas Halu Oleo1

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://ojs.uho.ac.id/index.php/semantik/oai, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">KLASIFIKASI JENIS PELAPORAN DI LAMAN PROPAM POLDA SULAWESI TENGGARA MENGGUNAKAN METODE ROCCHIO</dc:title>
	<dc:creator>Saiful, Muh</dc:creator>
	<dc:creator>Ransi, Natalis</dc:creator>
	<dc:creator>Nangi, Jumadil</dc:creator>
	<dc:subject xml:lang="en-US">Software Engineering</dc:subject>
	<dc:description xml:lang="en-US">Service is the major thing in an organization. PROPAM Polda Sultra is one of the government institutions that have utilized telecommunications technology, namely complaints or online reporting pages. This technology is used to simplify and accelerate the delivery of information from the public to PROPAM Polda Sultra either in the form of complaints or reports for police who violate. The increasing number of reports of public complaints every day resulted in many reports that have not been responded to or unread. Therefore, the need to classify complaints reports automatically is needed to make time and human resources effectively in grouping complaints reports. The research was conducted with using Text Mining, the Rocchio method and using Tf-IDF weighting.Based on the results of testing, Rocchio algorithm has a good performance for the classification of types complaint report. This is evidenced in manual testing and system testing using complain report and then classified into eighth categories of Immoral, Traffic Accident, Narcotics, Poor Service, Persecution, Threatening, Insult and Deviations in Carrying Out Tasks (Case Handling). The results of classification using 79 reports obtained 89,87% accuracy.Keywords—Service, Public Complaints, Rocchio, Text Mining, TF-IDFDOI : 10.5281/zenodo.3255093 </dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US">PROPAM POLDA SULAWESI TENGGARA</dc:contributor>
	<dc:date>2019-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/5993</dc:identifier>
	<dc:identifier>10.55679/semantik.v5i1.5993</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 5, No 1 (2019): semanTIK; 167-174</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/5993/pdf</dc:relation>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/downloadSuppFile/5993/397</dc:relation>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/downloadSuppFile/5993/398</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 semanTIK</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>