Melola Discovery

← Melola Discovery

Open access Jurnal

Drought Analysis in Ketapang District using the Keetch-Byram Drought Index Method

JURNAL GEOCELEBES · Vol. 8 No. 2 (2024) · pp. 151–161

DOI
10.70561/geocelebes.v8i2.36474
ISSN
2579-5546, 2579-5821
Published
2024-10-10
Publisher
Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar
Language
en
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

Ketapang Regency is one of the areas in West Kalimantan that is prone to drought. Drought can trigger forest and land fires. In this research, the Keetch-Byram Drought Index (KBDI) method was used to determine the level of drought in Ketapang Regency. The KBDI method relies on annual rainfall accumulation, daily rainfall, and maximum air temperature. The KBDI values obtained were correlated with the number of hotspots using Pearson correlation. This research was conducted throughout 2018-2022. Based on the monthly average KBDI value, the highest drought in Ketapang Regency occurred in August and September, while the lowest drought occurred in December and January. In terms of the annual average, the highest drought occurred in 2019. During the ENSO phenomenon in 2019, the El Niño phase experienced higher drought than the La Niña phase and normal years. In the El Niño phase, drought levels reach high to extreme categories. The correlation value between annual KBDI and the number of hotspots is 0.88, indicating a solid relationship. An increase in the KBDI value will be followed by an increasing number of hotspots.

Keywords

Collaboration network of the authors

37 authors · 104 co-authorship links

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

  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Shamim Al MamunAffiliation unknown7
Randy ArdiantoAffiliation unknown5
Mahmuda Binte LatifAffiliation unknown3
Muhammad Ishak JumarangAffiliation unknown3
Tarisya JulianaAffiliation unknown3
Tanmoy Roy TusherAffiliation unknown2
Reyad Hossain ArifAffiliation unknown2
Elyda YaniAffiliation unknown2
Osgar S. MatompoAffiliation unknown1
Andi PurnawatiAffiliation unknown1
Okto IvansyahAffiliation unknown1
Cindy Fatika Nur AnnisaAffiliation unknown1
Subarsyah SubarsyahAffiliation unknown1
Nurputri NurputriAffiliation unknown1
Muhammad Sirajul IslamAffiliation unknown1
Asm SaifullahAffiliation unknown1
Jewel KhanAffiliation unknown1
Muhammad Solaiman MiaAffiliation unknown1
Md Ariful IslamAffiliation unknown1
Md Sirajul IslamAffiliation unknown1
Zakia ParveenAffiliation unknown1
Dilara NasrinAffiliation unknown1
Rezuana AfrinAffiliation unknown1
Sydur Rahman GaziAffiliation unknown1
Abu Abdulla Al-Mamun Md. Hossain KhanAffiliation unknown1
Mir Md. Mozammal HoqueAffiliation unknown1
Md. Moshiuzzaman KhanAffiliation unknown1
Tarmina Akter MuktaAffiliation unknown1
Firdaus HamidAffiliation unknown1
Kenny Edward YapAffiliation unknown1
Andi Asadul IslamAffiliation unknown1
Junus Asiu Bulu BaanAffiliation 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://journal.unhas.ac.id/index.php/geocelebes/oai, first harvested 3 Nov 2026, last seen 3 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">Drought Analysis in Ketapang District using the Keetch-Byram Drought Index Method</dc:title>
	<dc:creator xml:lang="en">Massuro, Lusyndatul</dc:creator>
	<dc:creator xml:lang="en">Adriat, Riza</dc:creator>
	<dc:creator xml:lang="en">Muliadi, Muliadi</dc:creator>
	<dc:creator xml:lang="en">Ihwan, Andi</dc:creator>
	<dc:creator xml:lang="en">Sutanto, Yuris</dc:creator>
	<dc:subject xml:lang="en">Drought</dc:subject>
	<dc:subject xml:lang="en">ENSO</dc:subject>
	<dc:subject xml:lang="en">KBDI</dc:subject>
	<dc:subject xml:lang="en">Ketapang Regency</dc:subject>
	<dc:description xml:lang="en">Ketapang Regency is one of the areas in West Kalimantan that is prone to drought. Drought can trigger forest and land fires. In this research, the Keetch-Byram Drought Index (KBDI) method was used to determine the level of drought in Ketapang Regency. The KBDI method relies on annual rainfall accumulation, daily rainfall, and maximum air temperature. The KBDI values obtained were correlated with the number of hotspots using Pearson correlation. This research was conducted throughout 2018-2022. Based on the monthly average KBDI value, the highest drought in Ketapang Regency occurred in August and September, while the lowest drought occurred in December and January. In terms of the annual average, the highest drought occurred in 2019. During the ENSO phenomenon in 2019, the El Niño phase experienced higher drought than the La Niña phase and normal years. In the El Niño phase, drought levels reach high to extreme categories. The correlation value between annual KBDI and the number of hotspots is 0.88, indicating a solid relationship. An increase in the KBDI value will be followed by an increasing number of hotspots.</dc:description>
	<dc:publisher xml:lang="en">Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar</dc:publisher>
	<dc:date>2024-10-10</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/geocelebes/article/view/36474</dc:identifier>
	<dc:identifier>10.70561/geocelebes.v8i2.36474</dc:identifier>
	<dc:source xml:lang="en">JURNAL GEOCELEBES; Vol. 8 No. 2: October 2024; 151–161</dc:source>
	<dc:source>2579-5546</dc:source>
	<dc:source>2579-5821</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/geocelebes/article/view/36474/12124</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 JURNAL GEOCELEBES</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>