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PERBANDINGAN KETAHANAN DAUN CABAI RAWIT DAN TOMAT TERHADAP SERANGAN Thrips sp. BERBASIS PENGOLAHAN CITRA DIGITAL

Jurnal Agroteknos · Vol. 13 No. 2 (2023)

DOI
10.56189/ja.v13i2.43330
ISSN
2527-4074
Published
2023-07-31
Publisher
Fakultas Pertanian Universitas Halu Oleo
Language
eng

Abstract

The presence of thrips pests that attack the leaves of cayenne pepper and tomato can cause high yield losses in both crops. Plant resistance to thrips is thought to be related to the pest's preference for plant leaves. The difference in the resistance level of the two plants to thrips attack needs to be studied based on a digital image processing approach as an accurate method of assessing plant damage. This study compares the resistance of cayenne pepper and tomato leaves to thrips attack based on digital image processing. The study was designed for feed testing with the option of using cayenne pepper and tomato leaves as treatments that were placed in pairs in a testing container. There were five pairs of tests for the first and second repetitions, respectively, and each pair of tests used five individual thrips. The results showed tomato leaves were relatively more resistant to thrips attack because they tended to be less preferred than cayenne pepper. The average area of thrips attack on cayenne pepper leaves for two repetitions of testing was higher than tomato. The assessment of the extent of thrips attack tomato and cayenne pepper leaves based on image processing has high validity, characterized by the accuracy and precision of the assessment results, which reach 80-100%. However, the reliability of the assessment results for two repetitions of testing is still relatively low, especially in assessing damage to cayenne pepper leaves.

Keywords

Collaboration network of the authors

40 authors · 228 co-authorship links · 4 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
AGUNG YUSWANAUniversitas Halu Oleo15
MARIADI MARIADIUniversitas Halu Oleo13
Asniah AsniahUniversitas Halu Oleo13
Muhammad BotekUniversitas Halu Oleo12
Waode Siti Anima HiseinUniversitas Halu Oleo12
MUHAMMAD TAUFIKAffiliation unknown11
Vit Neru SatrahUniversitas Halu Oleo10
La Ode Santiaji BandeUniversitas Halu Oleo10
SYAIR SYAIRUniversitas Halu Oleo10
SRI WAHYUNIAffiliation unknown7
NUR ISNAINI ULFAUniversitas Halu Oleo7
MIRZA ARSIATY ARSYADUniversitas Halu Oleo6
HS GusnawatyAffiliation unknown6
Gusti Ayu Kade SutariatiUniversitas Halu Oleo5
Abdul M. BalubiAffiliation unknown4
Irwan J. EffendyAffiliation unknown4
Andi NurmasUniversitas Halu Oleo4
MUHAMMAD TAUFIKUniversitas Halu Oleo4
RAHAYU MAffiliation unknown4
Teguh WijayantoAffiliation unknown3
Agus KurniaUniversitas Halu Oleo3
Ruslaini RuslainiAffiliation unknown3
RAHAYU RAHAYUUniversitas Halu Oleo3
Halim HalimUniversitas Halu Oleo3
La Ode Santiaji BandeAffiliation unknown3
Eka Lestari AriyantiAffiliation unknown3
M RahayuAffiliation unknown3
Gusnawaty HSUniversitas Halu Oleo3
ROBIATUL ADAWIYAHUniversitas Halu Oleo2
Ma’ruf KasimUniversitas Halu Oleo2
NURIADI NURIADIAffiliation unknown2
Widodo WidodoIPB University1
Kikin Hamzah MutaqinIPB University1
Muhammad TaufikUniversitas Halu Oleo1

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/agroteknos/oai, first harvested 31 Okt 2026, last seen 31 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">PERBANDINGAN KETAHANAN DAUN CABAI RAWIT DAN TOMAT TERHADAP SERANGAN Thrips sp. BERBASIS PENGOLAHAN CITRA DIGITAL</dc:title>
	<dc:creator>YUHAJIRIN, QAEFA</dc:creator>
	<dc:creator>MALLARANGENG, RAHAYU</dc:creator>
	<dc:creator>HASAN, ASMAR</dc:creator>
	<dc:creator>KHAERUNI, ANDI</dc:creator>
	<dc:creator>PAKKI, TERRY</dc:creator>
	<dc:creator>RAHMAN, ABDUL</dc:creator>
	<dc:subject xml:lang="en-US">accuracy; assessment; precision; reliability</dc:subject>
	<dc:description xml:lang="en-US">The presence of thrips pests that attack the leaves of cayenne pepper and tomato can cause high yield losses in both crops. Plant resistance to thrips is thought to be related to the pest's preference for plant leaves. The difference in the resistance level of the two plants to thrips attack needs to be studied based on a digital image processing approach as an accurate method of assessing plant damage. This study compares the resistance of cayenne pepper and tomato leaves to thrips attack based on digital image processing. The study was designed for feed testing with the option of using cayenne pepper and tomato leaves as treatments that were placed in pairs in a testing container. There were five pairs of tests for the first and second repetitions, respectively, and each pair of tests used five individual thrips. The results showed tomato leaves were relatively more resistant to thrips attack because they tended to be less preferred than cayenne pepper. The average area of thrips attack on cayenne pepper leaves for two repetitions of testing was higher than tomato. The assessment of the extent of thrips attack tomato and cayenne pepper leaves based on image processing has high validity, characterized by the accuracy and precision of the assessment results, which reach 80-100%. However, the reliability of the assessment results for two repetitions of testing is still relatively low, especially in assessing damage to cayenne pepper leaves.</dc:description>
	<dc:publisher xml:lang="en-US">Fakultas Pertanian Universitas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-07-31</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/agroteknos/article/view/43330</dc:identifier>
	<dc:identifier>10.56189/ja.v13i2.43330</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Agroteknos; Vol 13, No 2 (2023)</dc:source>
	<dc:source>2527-4074</dc:source>
	<dc:source>10.56189/ja.v13i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/agroteknos/article/view/43330/19033</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jurnal Agroteknos</dc:rights>
</oai_dc:dc>