THE PAR (PEER ASSESSMENT RATING) CALCULATION ON 2 DIMENSIONAL TEETH MODEL IMAGE FOR THE CENTERLINE COMPONENT AND TEETH SEGMENTATION ON THE OCCLUSAL SURFACE TEETH MODEL IMAGE

Wisesa, Hanif Arief; Rustamadji, Ratna; Purwanegara, Miesje Karmiati; Hardjono, Benny

doi:10.21609/jiki.v7i2.259

Jurnal SINTA 2

THE PAR (PEER ASSESSMENT RATING) CALCULATION ON 2 DIMENSIONAL TEETH MODEL IMAGE FOR THE CENTERLINE COMPONENT AND TEETH SEGMENTATION ON THE OCCLUSAL SURFACE TEETH MODEL IMAGE

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 7 No. 2 (2014) · pp. 67–75

DOI: 10.21609/jiki.v7i2.259
ISSN: 2502-9274, 2088-7051
Published: 2014-08-21
Publisher: Faculty of Computer Science - Universitas Indonesia
Language: eng

Abstract

Abstract The PAR (Peer Assessment Rating) Index is used by orthodontists around the world to calculate the severeness of a malocclusion. A malocclusion is a dental disease where the teeth are not properly aligned. In Indonesia, the number of malocclusion is relatively high. The occurrence of orthodontics who can treat malocclusion is also low in Indonesia. In 2013, a research is done to create the telehealth monitoring system to provide better treatment of malocclusion in Indonesia. The research is further improved by using different Adaptive Multiple Thresholding methods to segmentate the image. The result will be used to calculate the Centerline component of the PAR Index. The result is a system that could calculate the PAR Index automatically and is compared to the results using manual method.

Keywords

Collaboration network of the authors

13 authors · 37 co-authorship links · 17 across different organisations

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University of Indonesia
Pelita Harapan University
University of Edinburgh
Tarumanagara University
Affiliation unknown

Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles

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Co-author	Organisation	Joint articles
Muhammad Febrian Rachmadi	University of Edinburgh	3
Sani Muhammad Isa	Tarumanagara University	3
Ari Wibisono	University of Indonesia	2
Novian Habibie	University of Indonesia	1
Machmud Roby Alhamidi	University of Indonesia	1
Grafika Jati	University of Indonesia	1
Dwi Purnomo	Affiliation unknown	1
Satria Bagus Wicaksono	Affiliation unknown	1
Puteri Khatya Fahira	University of Indonesia	1

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://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">THE PAR (PEER ASSESSMENT RATING) CALCULATION ON 2 DIMENSIONAL TEETH MODEL IMAGE FOR THE CENTERLINE COMPONENT AND TEETH SEGMENTATION ON THE OCCLUSAL SURFACE TEETH MODEL IMAGE</dc:title>
	<dc:creator>Wisesa, Hanif Arief</dc:creator>
	<dc:creator>Rustamadji, Ratna</dc:creator>
	<dc:creator>Purwanegara, Miesje Karmiati</dc:creator>
	<dc:creator>Hardjono, Benny</dc:creator>
	<dc:subject xml:lang="en-US">teeth segmentation</dc:subject>
	<dc:subject xml:lang="en-US">malocclusion</dc:subject>
	<dc:subject xml:lang="en-US">orthodontics</dc:subject>
	<dc:subject xml:lang="en-US">automatic</dc:subject>
	<dc:subject xml:lang="en-US">PAR Index</dc:subject>
	<dc:description xml:lang="en-US">Abstract  The PAR (Peer Assessment Rating) Index is used by orthodontists around the world to calculate the severeness of a malocclusion. A malocclusion is a dental disease where the teeth are not properly aligned. In Indonesia, the number of malocclusion is relatively high. The occurrence of orthodontics who can treat malocclusion is also low in Indonesia. In 2013, a research is done to create the telehealth monitoring system to provide better treatment of malocclusion in Indonesia. The research is further improved by using different Adaptive Multiple Thresholding methods to segmentate the image. The result will be used to calculate the Centerline component of the PAR Index. The result is a system that could calculate the PAR Index automatically and is compared to the results using manual method.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2014-08-21</dc:date>
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	<dc:identifier>10.21609/jiki.v7i2.259</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 7 No. 2 (2014): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 67-75</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
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	<dc:language>eng</dc:language>
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