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Utilization of Sentinel-2 Satellite Imagery for Estimating Water Quality Changes in Rawa Pening Lake

Indonesian Journal of Earth and Human · Vol. 2 No. 1 (2025)

Published
2025-08-23
Publisher
Indonesian Journal of Earth and Human
Language
eng

Abstract

Rawa Pening Lake is one of the lakes designated as a revitalization priority by the Government of Indonesia in the Rencana Pembangunan Jangka Menengah Nasional. The factor that caused Rawa Pening Lake to become a priority is water quality in Lake Rawa Pening, which continues to be degraded by soil sedimentation and water hyacinth. By being designated as a national revitalization priority lake, the availability of water quality data with various parameters is urgently needed as a basis for formulating policies and strategic steps in revitalizing Rawa Pening Lake. This study uses remote sensing data to examine changes in water quality in Lake Rawa Pening through TSS, chlorophyll-a, water brightness, and DO parameters. In 2022, the distribution of aquatic vegetation had a lower percentage than in 2020. As a result, the studied aquatic parameters will fluctuate in value over the specified time range. Modeling results indicate that Lake Rawa Pening is mostly eutrophic

Keywords

Collaboration network of the authors

40 authors · 192 co-authorship links · 19 across different organisations

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

  • State University of Semarang
  • University of Brawijaya
  • Diponegoro University
  • University of Szeged
  • University of Edinburgh
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Trida Ridho FarizState University of Semarang9
Abdul JabbarUniversity of Brawijaya5
Dwi RahmawatiAffiliation unknown4
Putri Alifa KholilAffiliation unknown2
Amnan HarisAffiliation unknown2
Mahendra GunawanAffiliation unknown2
Dhiyanita ShabrinaAffiliation unknown2
Lenny Helmalia MustikawatiAffiliation unknown2
Andhina Putri HeriyantiDiponegoro University2
Agnes Dewi Wuri ErshantiAffiliation unknown2
Muhamad Roihan AkmalAffiliation unknown2
Maqfiroh Intan Nurul AiniAffiliation unknown2
Fathia LutfianandaUniversity of Edinburgh2
Haryadi HaryadiAffiliation unknown2
Adia Wafa ShopuraAffiliation unknown2
Muhammad Roihan AkmalAffiliation unknown2
Arif WidiyatmokoState University of Semarang1
Novi Ratna DewiState University of Semarang1
Prasetyo ListiajiUniversity of Szeged1
Wiyanto WiyantoState University of Semarang1
Fidia FibrianaState University of Semarang1
Dewi MustikaningtyasAffiliation unknown1
Maulana Malik WicaksonoAffiliation unknown1
Rifa’ AtunnisaState University of Semarang1
Pawit Indra PermanaAffiliation unknown1
Rifki TrihadiantaAffiliation unknown1
Sri NgabektiState University of Semarang1
Andin IrsadiState University of Semarang1
Agustina Dwi RahmawatiAffiliation unknown1
Jonathan Danosmon Maleakhi TanjungAffiliation unknown1
Saffira Alyda MaharaniAffiliation unknown1
Sapta SuhardonoAffiliation unknown1
Erma Zakiy ArifahAffiliation unknown1
Mohammad Rifki TrihadiantaAffiliation 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.unnes.ac.id/journals/ijeh/oai, first harvested 5 Nov 2026, last seen 8 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">Utilization of Sentinel-2 Satellite Imagery for Estimating Water Quality Changes in Rawa Pening Lake</dc:title>
	<dc:creator xml:lang="en">Habil Sultan</dc:creator>
	<dc:creator xml:lang="en">Aisyah Syuhufi Uula</dc:creator>
	<dc:creator xml:lang="en">Alfia Rahmalidya</dc:creator>
	<dc:creator xml:lang="en">Lutfia Sekar Kinasih</dc:creator>
	<dc:creator xml:lang="en">Cintiya Egi Purwadi</dc:creator>
	<dc:creator xml:lang="en">Nur Ramasari</dc:creator>
	<dc:subject xml:lang="en">Chlorophyll-a</dc:subject>
	<dc:subject xml:lang="en">Sentinel-2 satelitte imagery</dc:subject>
	<dc:subject xml:lang="en">TSS, Trophic Status</dc:subject>
	<dc:subject xml:lang="en">Water hyacinth</dc:subject>
	<dc:description xml:lang="en">Rawa Pening Lake is one of the lakes designated as a revitalization priority by the Government of Indonesia in the Rencana Pembangunan Jangka Menengah Nasional. The factor that caused Rawa Pening Lake to become a priority is water quality in Lake Rawa Pening, which continues to be degraded by soil sedimentation and water hyacinth. By being designated as a national revitalization priority lake, the availability of water quality data with various parameters is urgently needed as a basis for formulating policies and strategic steps in revitalizing Rawa Pening Lake. This study uses remote sensing data to examine changes in water quality in Lake Rawa Pening through TSS, chlorophyll-a, water brightness, and DO parameters. In 2022, the distribution of aquatic vegetation had a lower percentage than in 2020. As a result, the studied aquatic parameters will fluctuate in value over the specified time range. Modeling results indicate that Lake Rawa Pening is mostly eutrophic</dc:description>
	<dc:publisher xml:lang="en">Indonesian Journal of Earth and Human</dc:publisher>
	<dc:date>2025-08-23</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.unnes.ac.id/journals/ijeh/article/view/13781</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Earth and Human; Vol. 2 No. 1 (2025): April 2025</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ijeh/article/view/13781/5834</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Indonesian Journal of Earth and Human</dc:rights>
</oai_dc:dc>