Melola Discovery

← Melola Discovery

Jurnal

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 · 258 co-authorship links · 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
  • 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 Oleo17
Muhammad BotekUniversitas Halu Oleo14
ABDUL RAHMANUniversitas Halu Oleo13
Andi KhaeruniUniversitas Halu Oleo13
MIRZA ARSIATY ARSYADUniversitas Halu Oleo12
MARIADI MARIADIUniversitas Halu Oleo12
Asniah AsniahUniversitas Halu Oleo11
SYAIR SYAIRUniversitas Halu Oleo10
NUR ISNAINI ULFAUniversitas Halu Oleo8
MUHAMMAD TAUFIKAffiliation unknown6
MUHAMMAD TAUFIKUniversitas Halu Oleo6
Vit Neru SatrahUniversitas Halu Oleo5
La Ode SafuanUniversitas Halu Oleo4
ROBIATUL ADAWIYAHUniversitas Halu Oleo4
RAHAYU RAHAYUUniversitas Halu Oleo4
Halim HalimUniversitas Halu Oleo4
Andi NurmasUniversitas Halu Oleo4
Saefuddin SaefuddinUniversitas Halu Oleo3
La Ode AlwiUniversitas Halu Oleo3
Arsy Aysyah AnasUniversitas Halu Oleo3
Murni Sari RahayuUniversitas Halu Oleo3
Teri PakkiUniversitas Halu Oleo2
IMRAN SUBAIRUniversitas Halu Oleo2
Tresjia Corina RakianUniversitas Halu Oleo2
Nini Mila RahniUniversitas Halu Oleo2
I GUSTI RAY SADIMANTARAUniversitas Halu Oleo2
Hamirul HadiniUniversitas Halu Oleo2
Dirvamena BoerUniversitas Halu Oleo2
HS GusnawatyAffiliation unknown2
BAMBANG HADISUTRISNOAffiliation unknown2
SUSAMTO SOMOWIYARJOAffiliation unknown2
Abdul RahmanUniversitas Halu Oleo2
Gusnawaty HSUniversitas Halu Oleo2
RAHAYU MAffiliation unknown2

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 Okt 2026, last seen 1 Nov 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">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>
	<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/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>
</oai_dc:dc>