Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Analysis of soil quality in various land uses in the Central Rembangan micro-watershed, Indonesia

Journal of Degraded and Mining Lands Management · Vol. 13 No. 3 (2026) · hlm. 10333–10347

DOI
10.15243/jdmlm.2026.133.10333
ISSN
2502-2458, 2339-076X
Terbit
2026-07-01
Penerbit
Brawijaya University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Land degradation due to land use change threatens soil quality and watershed function in Java, Indonesia. This study aimed to evaluate soil quality across various land-use types in the Central Rembangan micro-watershed, East Java, Indonesia, using the Soil Quality Index (SQI) approach based on Principal Component Analysis (PCA). Soil samples were collected from 18 Land Mapping Units (LMUs). The LMU represents a combination of three types of land use, namely rice fields, plantations, and dryland agriculture. The LMU includes six slope classes, namely 0-3%, 3-8%, 8-15%, 15-25%, 25-40%, and >40%. The PCA analysis identified nine key indicators as the Minimum Data Set (MDS). These indicators include soil porosity, permeability, total nitrogen, exchangeable Mg, C/N ratio, soil pH, particle specific gravity, electrical conductivity (EC), and cation exchange capacity (CEC). The SQI value ranges from 0.50 to 0.77. The SQI value shows a significant difference between land use types at p<0.10. The rice field system has the highest SQI value of 0.68±0.09. The plantation system has an SQI value of 0.61±0.06. The dryland agricultural system has an SQI value of 0.57±0.09. Spatial analysis showed that 60% of micro-watershed areas have good soil quality. The good soil quality areas are located in the upstream part which is dominated by forest and plantations. As many as 40% of micro-watershed areas have moderate soil quality. Soil porosity and soil permeability are major contributors to soil quality in all types of land use.

Kata kunci

Jaringan kolaborasi para penulis

36 penulis · 139 tautan kepenulisan bersama · 41 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Jember
  • Universitas Pembangunan Nasional Veteran Yogyakarta
  • Universitas Muhammadiyah Jember
  • Muria Kudus University
  • Rakuno Gakuen University
  • Hokkaido University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Basuki BasukiUniversitas Jember7
Tri Candra SetiawatiUniversitas Jember4
Marga MandalaUniversitas Jember3
Sugeng WinarsoUniversitas Jember2
Sukron RomadhonaUniversitas Jember2
Fariz Kustiawan AlfarisyUniversitas Jember2
Sukma Agustin Dyan TikaUniversitas Jember2
Vivi FitrianiUniversitas Jember2
Vega Kartika SariUniversitas Jember2
Arthur FC RegarAfiliasi tidak diketahui1
Tri Wahyu SaputraUniversitas Jember1
Yagus WijayantoUniversitas Jember1
Ika PurnamasariUniversitas Jember1
Suci RistiyanaUniversitas Jember1
Mahardika SafitriUniversitas Jember1
Mohammad RondhiUniversitas Jember1
Yasuhiro MoriRakuno Gakuen University1
Takumi KondoHokkaido University1
Nita Anisya FirdausUniversitas Jember1
Rokhani RokhaniUniversitas Jember1
Ebban Bagus KuntadiUniversitas Jember1
Anik SuwandariUniversitas Jember1
Muhamad ImanuddinMuria Kudus University1
Shohibul UlumUniversitas Jember1
Marinus H PandutamaAfiliasi tidak diketahui1
I IndahUniversitas Jember1
Mohammad NurcholisUniversitas Pembangunan Nasional Veteran Yogyakarta1
Dwi Fitri YudiantoroUniversitas Pembangunan Nasional Veteran Yogyakarta1
Hari SulistiyowatiUniversitas Jember1
Wachju SubchanUniversitas Jember1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (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">Analysis of soil quality in various land uses in the Central Rembangan micro-watershed, Indonesia  </dc:title>
	<dc:creator>Hermiyanto, Bambang</dc:creator>
	<dc:creator>Budiman, Subhan Arif</dc:creator>
	<dc:creator>Basuki, Basuki</dc:creator>
	<dc:creator>Hafizh, Muhammad</dc:creator>
	<dc:creator>Maharani, Marcellia</dc:creator>
	<dc:creator>Hadi, Syamsul</dc:creator>
	<dc:subject xml:lang="en-US">land use</dc:subject>
	<dc:subject xml:lang="en-US">minimum data set</dc:subject>
	<dc:subject xml:lang="en-US">soil conservation</dc:subject>
	<dc:subject xml:lang="en-US">watershed management</dc:subject>
	<dc:subject xml:lang="en-US">soil quality index</dc:subject>
	<dc:description xml:lang="en-US">Land degradation due to land use change threatens soil quality and watershed function in Java, Indonesia. This study aimed to evaluate soil quality across various land-use types in the Central Rembangan micro-watershed, East Java, Indonesia, using the Soil Quality Index (SQI) approach based on Principal Component Analysis (PCA). Soil samples were collected from 18 Land Mapping Units (LMUs). The LMU represents a combination of three types of land use, namely rice fields, plantations, and dryland agriculture. The LMU includes six slope classes, namely 0-3%, 3-8%, 8-15%, 15-25%, 25-40%, and &amp;gt;40%. The PCA analysis identified nine key indicators as the Minimum Data Set (MDS). These indicators include soil porosity, permeability, total nitrogen, exchangeable Mg, C/N ratio, soil pH, particle specific gravity, electrical conductivity (EC), and cation exchange capacity (CEC). The SQI value ranges from 0.50 to 0.77. The SQI value shows a significant difference between land use types at p&amp;lt;0.10. The rice field system has the highest SQI value of 0.68±0.09. The plantation system has an SQI value of 0.61±0.06. The dryland agricultural system has an SQI value of 0.57±0.09. Spatial analysis showed that 60% of micro-watershed areas have good soil quality. The good soil quality areas are located in the upstream part which is dominated by forest and plantations. As many as 40% of micro-watershed areas have moderate soil quality. Soil porosity and soil permeability are major contributors to soil quality in all types of land use.</dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2026-07-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17656</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2026.133.10333</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 13 No. 3 (2026); 10333-10347</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/17656/2057</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Journal of Degraded and Mining Lands Management</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>