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PERBANDINGAN MOTHER WAVELET DALAM SISTEM TEMU KEMBALI INFORMASI KEMIRIPAN MOTIF KAIN TENUN SULAWESI TENGGARA

SemanTIK: Teknik Informasi · Vol. 5 No. 1 (2019) · pp. 9–16

DOI
10.55679/semantik.v5i1.5309
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

Information retrieval is a process, method, and procedure used to select relevant information and stored in a database. In libraries and archives, information retrieval is usually for known documents or for information about certain subjects. Information Retrieval System is used to rediscover information that is relevant to the needs of users of a collection of information automatically. Weaving motifs can be distinguished by the naked eye but not all people can distinguish motifs from each type of woven fabric due to the difficulty in defining the characteristics of woven fabric motifs from an area and the variety of motifs and compositions of colors available. Based on the data and facts that have been mentioned, wavelet can be used for extracting texture features in the Information Retrieval System, but further research is nApplication of Mother Wavelet in Retrieval System Similarity Information on Southeast Sulawesi Woven Fabric Motives gives good results needed to compare the optimal mother wavelet for the system. and among 4 types of wavelets, Haar with decomposition level 7 is the best feature extraction method compared to Daubechies 4, Symlets 2 and Coiflets 1. This is evidenced by faster computing time and the best percentage of precision, which is 95%.Keywords— Mother Wavelet, Information Retrieval, Weaving. DOI: 10.5281/zenodo.2649780

Collaboration network of the authors

40 authors · 94 co-authorship links · 10 across different organisations · 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
  • Universitas Gadjah Mada
  • Indonesia Open University
  • Institut Teknologi Sepuluh Nopember
  • University of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Statiswaty StatiswatyUniversitas Halu Oleo5
Adha Mashur SajiahUniversitas Halu Oleo4
Jayanti Yusmah SariUniversitas Halu Oleo3
Muh YaminUniversitas Halu Oleo3
Bambang PramonoUniversitas Halu Oleo3
Rahmat RamadhanUniversitas Halu Oleo3
Sutardi SutardiUniversitas Halu Oleo2
Irmaya Citra HarwendhaniAffiliation unknown2
Ayu Sabrina SyairUniversitas Halu Oleo2
Agfianto Eko PutraUniversitas Gadjah Mada1
Dian NursantikaIndonesia Open University1
Rabiuldien AmatUniversitas Halu Oleo1
Muh. Abdi FahmiAffiliation unknown1
Azim RamadhanAffiliation unknown1
La Ode ApriadiAffiliation unknown1
Yuwanda Purnamasari PasrunInstitut Teknologi Sepuluh Nopember1
Djafar DjafarAffiliation unknown1
Muhammad FajarUniversity of Indonesia1
La Ode Hasnuddin S. SagalaUniversitas Gadjah Mada1
Maulana MalikAffiliation unknown1
Wa Ode Wahyuni MakmunUniversitas Halu Oleo1
Muhammad Ihsan SaritaUniversitas Halu Oleo1
Rifa’atus ShalihahUniversitas Halu Oleo1
Christine Florence KiswantoAffiliation unknown1
Iqbal TawaqqalAffiliation unknown1
Anita Puspita DewiAffiliation unknown1
Agtria Prilika HerniatyAffiliation unknown1
Muh Farid FachroniUniversitas Halu Oleo1
La Ode Muhammad Golok JayaUniversitas Halu Oleo1
Alif MuqtadirAffiliation unknown1
Muhammad UsganAffiliation unknown1
LM. Taha RamadhanAffiliation unknown1
Muhammad Ichwan UtariAffiliation unknown1
Alfian AlfianAffiliation unknown1
Rizal Adi SaputraUniversitas Halu Oleo1
Roy PaneAffiliation unknown1
Aan Kurniawan SaputraAffiliation 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://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">PERBANDINGAN MOTHER WAVELET DALAM SISTEM TEMU KEMBALI INFORMASI KEMIRIPAN MOTIF KAIN TENUN SULAWESI TENGGARA</dc:title>
	<dc:creator>Bolu, Wa Ode Rizqanun Karyima</dc:creator>
	<dc:creator>Sarita, Muh. Ihsan</dc:creator>
	<dc:creator>Ningrum, Ika Purwanti</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">Information retrieval is a process, method, and procedure used to select relevant information and stored in a database. In libraries and archives, information retrieval is usually for known documents or for information about certain subjects. Information Retrieval System is used to rediscover information that is relevant to the needs of users of a collection of information automatically. Weaving motifs can be distinguished by the naked eye but not all people can distinguish motifs from each type of woven fabric due to the difficulty in defining the characteristics of woven fabric motifs from an area and the variety of motifs and compositions of colors available. Based on the data and facts that have been mentioned, wavelet can be used for extracting texture features in the Information Retrieval System, but further research is nApplication of Mother Wavelet in Retrieval System Similarity Information on Southeast Sulawesi Woven Fabric Motives gives good results needed to compare the optimal mother wavelet for the system. and among 4 types of wavelets, Haar with decomposition level 7 is the best feature extraction method compared to Daubechies 4, Symlets 2 and Coiflets 1. This is evidenced by faster computing time and the best percentage of precision, which is 95%.Keywords— Mother Wavelet, Information Retrieval, Weaving. DOI : 10.5281/zenodo.2649780</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2019-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<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/5309</dc:identifier>
	<dc:identifier>10.55679/semantik.v5i1.5309</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 5, No 1 (2019): semanTIK; 9-16</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/5309/pdf</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>