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Analysis of Quality Status and Prediction of the Distribution of Temperature, DO, pH, Salinity, and Brightness of Sea Water in the Saugi Island Area Based on Spatial Inverse Distance Weighting

International Journal of Applied Biology · Vol. 9 No. 1 (2025) · pp. 1–15

ISSN
2580-2119, 2580-2410
Published
2025-06-30
Publisher
Hasanuddin University
Language
en

Abstract

Marine waters are crucial for maintaining marine ecosystems and achieving sustainable environmental sustainability. This research aims to analyze the quality status and predict the distribution of temperature, brightness, salinity, pH, and dissolved oxygen (DO) concentrations as indicators for assessing marine water quality. The study employs descriptive statistics to process laboratory test results and field measurements of the tested parameters. Marine water quality status is determined by calculating the percentage of limiting parameters and establishing maximum and minimum values for each parameter as benchmarks. The prediction of concentration distribution for temperature, brightness, salinity, pH, and DO is carried out using Spatial Inverse Distance Weighting (IDW) analysis, which illustrates the concentration distribution of each parameter based on data input in ArcGIS Pro software. The findings reveal varying quality statuses at different sampling points, with good conditions at points 4 and 5, where limiting parameter percentages are 22%. Medium quality status is observed at points 2 and 7 (33%) and points 3 and 6 (44%). Poor conditions are noted at points 1 and 8, with a 55% limiting parameter percentage. The study recommends this research as a valuable reference for the community and government to support marine ecosystem preservation and Sustainable marine ecosystem.

Keywords

Collaboration network of the authors

40 authors · 142 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
  • Institut Agama Islam Negeri Kendari
  • Universitas Islam Negeri Ar-Raniry
  • Universitas Muhammadiyah Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Siti Nurjanah AhmadUniversitas Halu Oleo8
La WelendoAffiliation unknown7
Patwayati PatwayatiAffiliation unknown4
Fitriah FitriahUniversitas Islam Negeri Ar-Raniry4
Wayan MustikaAffiliation unknown4
Ahmad Syarif SukriUniversitas Halu Oleo3
Ridwan Syah NuhunUniversitas Halu Oleo3
Yusuf YusufUniversitas Muhammadiyah Kendari2
Rahmat MadjidAffiliation unknown2
Isalman IsalmanAffiliation unknown2
Juharsah JuharsahAffiliation unknown2
Eliyanti Agus MokodompitAffiliation unknown2
Muh Thahir AzikinAffiliation unknown2
sulha sulhaAffiliation unknown2
Joko RaharjoAffiliation unknown2
Try Sugiyarto SoeparyantoUniversitas Halu Oleo2
Mappa NashrunAffiliation unknown2
Anafi MinmahddunUniversitas Halu Oleo2
Minson SimatupangUniversitas Halu Oleo2
Baso MursidiAffiliation unknown2
Adris A. PutraAffiliation unknown2
RIdwansyah NuhunAffiliation unknown2
Sriwiyati MahraniAffiliation unknown2
Nursaban Rommy SulemanAffiliation unknown2
Nurwati NurwatiAffiliation unknown2
Saldy YusufAffiliation unknown2
Sarina MusdiamanAffiliation unknown2
Ashadi L. DiabInstitut Agama Islam Negeri Kendari1
Siti SulemanAffiliation unknown1
Andhika Hayyu PratamaAffiliation unknown1
Fabelyn Gandryal MistipaAffiliation unknown1
Muhammad Fakhri ArdyansyahAffiliation unknown1
Hans Julio PratamaAffiliation 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/ijoab/oai, first harvested 3 Nov 2026, last seen 3 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Analysis of Quality Status and Prediction of the Distribution of Temperature, DO, pH, Salinity, and Brightness of Sea Water in the Saugi Island Area Based on Spatial Inverse Distance Weighting</dc:title>
	<dc:creator xml:lang="en">Nasrul, Nasrul</dc:creator>
	<dc:creator xml:lang="en">Qaiyimah, Dinil </dc:creator>
	<dc:creator xml:lang="en">Nurfadilah, Nurfadilah</dc:creator>
	<dc:creator xml:lang="en">Haris, Haris</dc:creator>
	<dc:creator xml:lang="en">Amdah, Misdar</dc:creator>
	<dc:creator xml:lang="en">Mulianti, Mulianti</dc:creator>
	<dc:creator xml:lang="en">Hidayah, Nurul</dc:creator>
	<dc:subject xml:lang="en">Marine Water</dc:subject>
	<dc:subject xml:lang="en">Quality of marine waters</dc:subject>
	<dc:subject xml:lang="en">Spatial Inverse Distance Weighting</dc:subject>
	<dc:subject xml:lang="en">Saugi Island</dc:subject>
	<dc:description xml:lang="en">Marine waters are crucial for maintaining marine ecosystems and achieving sustainable environmental sustainability. This research aims to analyze the quality status and predict the distribution of temperature, brightness, salinity, pH, and dissolved oxygen (DO) concentrations as indicators for assessing marine water quality. The study employs descriptive statistics to process laboratory test results and field measurements of the tested parameters. Marine water quality status is determined by calculating the percentage of limiting parameters and establishing maximum and minimum values for each parameter as benchmarks. The prediction of concentration distribution for temperature, brightness, salinity, pH, and DO is carried out using Spatial Inverse Distance Weighting (IDW) analysis, which illustrates the concentration distribution of each parameter based on data input in ArcGIS Pro software. The findings reveal varying quality statuses at different sampling points, with good conditions at points 4 and 5, where limiting parameter percentages are 22%. Medium quality status is observed at points 2 and 7 (33%) and points 3 and 6 (44%). Poor conditions are noted at points 1 and 8, with a 55% limiting parameter percentage. The study recommends this research as a valuable reference for the community and government to support marine ecosystem preservation and Sustainable marine ecosystem.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2025-06-30</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/ijoab/article/view/37270</dc:identifier>
	<dc:source xml:lang="en">International Journal of Applied Biology; Vol. 9 No. 1 (2025): International Journal of Applied Biology; 1-15</dc:source>
	<dc:source>2580-2119</dc:source>
	<dc:source>2580-2410</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ijoab/article/view/37270/13062</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 International Journal of Applied Biology</dc:rights>
</oai_dc:dc>