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Journal SINTA 3

SISTEM PENDETEKSI JUMLAH MOBIL DALAM INTELLIGENT TRANSPORT SYSTEM (ITS) MENGGUNAKAN METODE VIOLA-JONES

SemanTIK: Teknik Informasi · Vol. 2 No. 1 (2016)

DOI
10.55679/semantik.v2i1.864
ISSN
2502-8928, 2460-1446
Published
2016-04-18
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

One way to cope with the traffic density is leveraging technology Intelligent Transport System (ITS). ITS is a system implemented to control and manage the traffic of vehicles, vehicle distribution and transport system infrastructure to achieve a more secure and organized. Revolving a traffic light in the ITS is flexible because it depends on the number of vehicles in traffic. To obtain the revolving time efficient traffic light depends on the accuracy of the calculation of the number of vehicles. In this study, the method used is the method of viola-Jones. The number of car detection system is implemented using the Java programming language-based desktop. Results obtained from these systems demonstrate the highest degree of accuracy viola-Jones method in detecting the number of cars on the condition of the samples contained 1 cars which amounted to 92,86%. While the highest error jones viola method in determining the number of cars found on a random sample conditions which amounted to 47,22%.Keywords— ITS, Car Detection, Viola-Jones

Collaboration network of the authors

40 authors · 104 co-authorship links · 22 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
  • Bank Indonesia
  • Indonesia Open University
  • Universitas Sembilanbelas November Kolaka
  • Universitas Muhammadiyah Palembang
  • Mulawarman University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Jayanti Yusmah SariUniversitas Halu Oleo5
Statiswaty StatiswatyUniversitas Halu Oleo5
Rahmat RamadhanUniversitas Halu Oleo5
Muh YaminUniversitas Halu Oleo4
Adha Mashur SajiahUniversitas Halu Oleo4
Sutardi SutardiUniversitas Halu Oleo4
Bambang PramonoBank Indonesia3
La Ode Hasnuddin S. SagalaUniversitas Gadjah Mada2
Natalis RansiUniversitas Halu Oleo2
Ayu Sabrina SyairUniversitas Halu Oleo2
Wa Ode Rizqanun Karyima BoluUniversitas 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 PasrunUniversitas Sembilanbelas November Kolaka1
Djafar DjafarAffiliation unknown1
Muhammad FajarAffiliation unknown1
Maulana MalikUniversitas Muhammadiyah Palembang1
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 AlfianMulawarman University1
Rizal Adi SaputraUniversitas Halu Oleo1
Roy PaneAffiliation 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 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SISTEM PENDETEKSI JUMLAH MOBIL DALAM INTELLIGENT TRANSPORT SYSTEM (ITS)  MENGGUNAKAN METODE VIOLA-JONES</dc:title>
	<dc:creator>Harwendhani, Irmaya Citra</dc:creator>
	<dc:creator>Ningrum, Ika Purwanti</dc:creator>
	<dc:creator>Sarita, Muh. Ihsan</dc:creator>
	<dc:description xml:lang="en-US">One way to cope with  the traffic density is leveraging technology Intelligent Transport System (ITS). ITS is a system implemented to control and manage the traffic of vehicles, vehicle distribution and transport system infrastructure to achieve a more secure and organized. Revolving a traffic light in the ITS is flexible because it depends on the number of vehicles in traffic. To obtain the revolving time efficient traffic light depends on the accuracy of the calculation of the number of vehicles. In this study, the method used is the method of viola-Jones. The number of car detection system is implemented using the Java programming language-based desktop. Results obtained from these systems demonstrate the highest degree of accuracy viola-Jones method in detecting the number of  cars on the condition of the samples contained 1 cars which amounted to 92,86%. While the highest error jones viola method in determining the number of cars found on a random sample conditions which amounted to 47,22%.Keywords— ITS, Car Detection, Viola-Jones</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>2016-04-18</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/864</dc:identifier>
	<dc:identifier>10.55679/semantik.v2i1.864</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 2, No 1 (2016): semanTIK</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v2i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/864/564</dc:relation>
</oai_dc:dc>