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AKURASI PENILAIAN SERANGAN Thrips sp. PADA DAUN CABAI BERDASARKAN PENGAMATAN VISUAL DAN PENGOLAHAN CITRA

Jurnal Berkala Ilmu-Ilmu Pertanian (Journal of Agricultural Sciences) · Vol. 3 No. 2 (2023)

DOI
10.56189/jagris.v3i2.43338
ISSN
2338-7882
Published
2023-05-31
Publisher
Fakultas Pertanian Univeritas Halu Oleo
Language
eng

Abstract

Visual observation is a method of assessing the intensity of thrips infestation that assessors favor because it is relatively easy to apply. However, on the other hand, it has many limitations. Therefore, a more accurate alternative method, such as digital image processing, is needed. This study aims to evaluate the accuracy of visual observation and digital image processing used to assess the thrips attack on cayenne pepper leaves. This study was designed following a Randomized Group Design with four treatments, namely P1 (1), P2 (3), P3 (5), and P4 (7 thrips/container cup). Each treatment was repeated three times (12 experimental units), and each experimental unit used five test leaves. The variable observed was the accuracy of assessing thrips attack intensity on chili leaves based on visual observation and image processing. The results show that high thrips populations can cause high attack intensity on chili plants based on visual observation results, while based on image processing, it is known that high thrips populations do not necessarily cause high attack intensity. The assessment of attack intensity based on visual observation provides a lower accuracy level than image processing. The results of the assessment of attack intensity based on visual observations are less reliable because there is a bias of 0.67.

Collaboration network of the authors

40 authors · 261 co-authorship links · 6 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
  • IPB University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad BotekUniversitas Halu Oleo17
Andi KhaeruniUniversitas Halu Oleo16
MIRZA ARSIATY ARSYADUniversitas Halu Oleo12
AGUNG YUSWANAUniversitas Halu Oleo12
MUHAMMAD TAUFIKUniversitas Halu Oleo11
Asniah AsniahUniversitas Halu Oleo11
MARIADI MARIADIUniversitas Halu Oleo11
SYAIR SYAIRUniversitas Halu Oleo11
ABDUL RAHMANUniversitas Halu Oleo9
NUR ISNAINI ULFAUniversitas Halu Oleo8
MUHAMMAD TAUFIKUniversitas Halu Oleo8
Vit Neru SatrahUniversitas Halu Oleo7
Abdul RahmanUniversitas Halu Oleo6
Andi NurmasUniversitas Halu Oleo5
GUSNAWATY HSAffiliation unknown5
La Ode SafuanUniversitas Halu Oleo4
Tresjia Corina RakianUniversitas Halu Oleo4
Muhammad TaufikUniversitas Halu Oleo4
Arsy Aysyah AnasUniversitas Halu Oleo4
RAHAYU RAHAYUUniversitas Halu Oleo4
Murni Sari RahayuUniversitas Halu Oleo4
Saefuddin SaefuddinUniversitas Halu Oleo3
I GUSTI RAY SADIMANTARAUniversitas Halu Oleo3
Hamirul HadiniUniversitas Halu Oleo3
Dirvamena BoerUniversitas Halu Oleo3
La Ode AlwiUniversitas Halu Oleo3
Rachmawati HasidUniversitas Halu Oleo3
Gusnawaty HsUniversitas Halu Oleo3
Halim HalimUniversitas Halu Oleo3
Kikin Hamzah MutaqinIPB University2
Sri Hendrastuti HidayatIPB University2
Teri PakkiUniversitas Halu Oleo2
IMRAN SUBAIRUniversitas Halu Oleo2
La Ode AfaUniversitas Halu Oleo2

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/jagris/oai, first harvested 30 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">AKURASI PENILAIAN SERANGAN Thrips sp. PADA DAUN CABAI BERDASARKAN PENGAMATAN VISUAL DAN PENGOLAHAN CITRA</dc:title>
	<dc:creator>SUWETI, NOFI</dc:creator>
	<dc:creator>HASAN, ASMAR</dc:creator>
	<dc:creator>MALLARANGENG, RAHAYU</dc:creator>
	<dc:creator>BANDE, LA ODE SANTIAJI</dc:creator>
	<dc:creator>HISEIN, WAODE SITI ANIMA</dc:creator>
	<dc:creator>PAKKI, TERRY</dc:creator>
	<dc:description xml:lang="en-US">Visual observation is a method of assessing the intensity of thrips infestation that assessors favor because it is relatively easy to apply. However, on the other hand, it has many limitations. Therefore, a more accurate alternative method, such as digital image processing, is needed. This study aims to evaluate the accuracy of visual observation and digital image processing used to assess the thrips attack on cayenne pepper leaves. This study was designed following a Randomized Group Design with four treatments, namely P1 (1), P2 (3), P3 (5), and P4 (7 thrips/container cup). Each treatment was repeated three times (12 experimental units), and each experimental unit used five test leaves. The variable observed was the accuracy of assessing thrips attack intensity on chili leaves based on visual observation and image processing. The results show that high thrips populations can cause high attack intensity on chili plants based on visual observation results, while based on image processing, it is known that high thrips populations do not necessarily cause high attack intensity. The assessment of attack intensity based on visual observation provides a lower accuracy level than image processing. The results of the assessment of attack intensity based on visual observations are less reliable because there is a bias of 0.67.</dc:description>
	<dc:publisher xml:lang="en-US">Fakultas Pertanian Univeritas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-05-31</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/jagris/article/view/43338</dc:identifier>
	<dc:identifier>10.56189/jagris.v3i2.43338</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Berkala Ilmu-Ilmu Pertanian (Journal of Agricultural Sciences); Vol 3, No 2 (2023): Mei 2023</dc:source>
	<dc:source>2338-7882</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/jagris/article/view/43338/19009</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jurnal Berkala Ilmu-Ilmu Pertanian (Journal of Agricultural Sciences)</dc:rights>
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