Melola Discovery

← Melola Discovery

Jurnal SINTA 2

TERRAIN: FETAL GROWTH TELEHEALTH SYSTEM BASED ON 2D FETAL HEAD IMAGE USING RANDOMIZED HOUGH TRANSFORM

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 7 No. 1 (2014) · pp. 37–43

DOI
10.21609/jiki.v7i1.255
ISSN
2502-9274, 2088-7051
Published
2014-08-21
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Abstract Intrauterine growth restriction (IUGR) is one of many fetal abnormalities, which has high contribution on maternal mortality rate and perinatal mortality rate in Indonesia. Apparently, IUGR impact can be reduced if only the symptoms are detected earlier and the correct treatment is applied. However, fetal growth detection and monitoring process in Indonesia is obstructed because the number of physicians is very limited and ultrasonography (USG) devices are expensive. Moreover, both the physicians and USG devices are only available in big cities. To answer those problems, this research proposed an intelligent system that can provide fetal growth telemonitoring in rural areas. This system consists of three components: portable USG device, mobile application which is developed using Android operating system, and server application which is developed using Django. The main feature of this system is automatic fetal head parameter detection and its ability to operate in the limited internet access environment. In this system, automatic fetal head parameter detection uses RHT method to approximate fetal head’s ellipse shape. Experiment result shows that RHT detection ability with ∆ellipse average of 79.564 and running time average of 0.373 second.

Keywords

Collaboration network of the authors

13 authors · 27 co-authorship links · 18 across different organisations

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

  • University of Indonesia
  • Universitas Teknokrat Indonesia
  • Tarumanagara University
  • University of Edinburgh
  • Pelita Harapan University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muntasir RahmanUniversity of Indonesia1
Muhammad Febrian RachmadiUniversity of Edinburgh1
Ratna RustamadjiUniversity of Indonesia1
Miesje Karmiati PurwanegaraUniversity of Indonesia1
Benny HardjonoPelita Harapan University1
Wisnu JatmikoUniversity of Indonesia1
Agus MulyantoUniversitas Teknokrat Indonesia1
Purwono PrasetyawanUniversitas Teknokrat Indonesia1
Rohmat Indra BormanUniversitas Teknokrat Indonesia1

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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">TERRAIN: FETAL GROWTH TELEHEALTH SYSTEM BASED ON 2D FETAL HEAD IMAGE USING RANDOMIZED HOUGH TRANSFORM</dc:title>
	<dc:creator>Rahmatullah, Robeth</dc:creator>
	<dc:creator>Habibie, Ikhsanul</dc:creator>
	<dc:creator>Mursanto, Petrus</dc:creator>
	<dc:creator>Isa, Sani Muhammad</dc:creator>
	<dc:subject xml:lang="en-US">Intrauterine growth restriction</dc:subject>
	<dc:subject xml:lang="en-US">ultrasonography</dc:subject>
	<dc:subject xml:lang="en-US">telemonitoring</dc:subject>
	<dc:subject xml:lang="en-US">automatic fetal head parameter</dc:subject>
	<dc:description xml:lang="en-US">Abstract
 
Intrauterine growth restriction (IUGR) is one of many fetal abnormalities, which has high contribution on maternal mortality rate and perinatal mortality rate in Indonesia. Apparently, IUGR impact can be reduced if only the symptoms are detected earlier and the correct treatment is applied. However, fetal growth detection and monitoring process in Indonesia is obstructed because the number of physicians is very limited and ultrasonography (USG) devices are expensive. Moreover, both the physicians and USG devices are only available in big cities. To answer those problems, this research proposed an intelligent system that can provide fetal growth telemonitoring in rural areas. This system consists of three components: portable USG device, mobile application which is developed using Android operating system, and server application which is developed using Django. The main feature of this system is automatic fetal head parameter detection and its ability to operate in the limited internet access environment. In this system, automatic fetal head parameter detection uses RHT method to approximate fetal head’s ellipse shape. Experiment result shows that RHT detection ability with ∆ellipse average of 79.564 and running time average of 0.373 second.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2014-08-21</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://jiki.cs.ui.ac.id/index.php/jiki/article/view/255</dc:identifier>
	<dc:identifier>10.21609/jiki.v7i1.255</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 7 No. 1 (2014): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 37-43</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v7i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/255/313</dc:relation>
</oai_dc:dc>