Melola Discovery

← Melola Discovery

Jurnal SINTA 1

Comparing the accuracy of estimating soil moisture using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI)

SAINS TANAH - Journal of Soil Science and Agroclimatology · Vol. 17 No. 1 (2020) · hlm. 23–29

DOI
10.20961/stjssa.v17i1.41396
ISSN
2356-1424, 1412-3606
Terbit
2020-06-29
Penerbit
Universitas Sebelas Maret
Bahasa
en

Abstrak

The Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are used to monitor and identify different types of drought, including meteorological, hydrological, and agricultural droughts. This study evaluates the accuracy of estimating soil moisture levels using the two indexes. The analysis correlated the SPI and the SPEI over three years (November 2016–October 2019) using Rstudio, with average monthly soil moisture taken using a Soil Moisture Sensor; 3-, 6- and 12-months SPI and SPEI showed a positive correlation for soil moisture (Sig 0.05). In contrast, the 3-, 6-, and 12-months indexes were significant (p-value <0.05). Estimating soil moisture content using the SPEI (50–59.09%) had a higher accuracy value than the SPI (36.36%), which indicates the SPEI can more reliably predict soil moisture.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 131 tautan kepenulisan bersama · 34 lintas organisasi · menampilkan 40 yang paling banyak terhubung

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

  • Sebelas Maret University
  • Gifu University
  • National Research and Innovation Agency
  • Wollega University
  • State University of Semarang
  • Universitas Darwan Ali
  • Jenderal Soedirman University
  • Organisasi lain
  • 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
Jauhari SyamsiyahSebelas Maret University9
Muhamad Khoiru ZakiGifu University6
Mujiyo MujiyoSebelas Maret University6
Sri HartatiSebelas Maret University5
Keigo NodaGifu University5
Adhia Azhar FauzanGifu University4
Widyatmani Sih DewiSebelas Maret University3
Aktavia HerawatiSebelas Maret University3
Rahayu RahayuSebelas Maret University3
Retno RosariastutiSebelas Maret University2
Taufiq Perak SanjayaSebelas Maret University2
Sunarto SunartoState University of Semarang1
Wahyu LestariState University of Semarang1
Dwi Ardi Wicaksana PutraUniversitas Darwan Ali1
Depi RusdaUniversitas Darwan Ali1
Henricus E. A. HendrataSebelas Maret University1
Y N HandayatiSebelas Maret University1
Sudadi SudadiSebelas Maret University1
Fedhasa Benti ChalchissaWollega University1
Supriyadi SupriyadiSebelas Maret University1
Robertus SudaryantoSebelas Maret University1
Purwanto PurwantoSebelas Maret University1
Noorhadi NoorhadiSebelas Maret University1
Setiawan Khoirul HimmiNational Research and Innovation Agency1
Didi TarmadiNational Research and Innovation Agency1
Ongko CahyonoSebelas Maret University1
Bramantyo WikantyosoNational Research and Innovation Agency1
Sri Rezeki FebrianiSebelas Maret University1
Maria Theresia Sri BudiastutiSebelas Maret University1
T WidodoSebelas Maret University1
Nafiatul UmamiUniversitas Gadjah Mada1
Supriyadi SupriyadiSebelas Maret University1
Joko WinarnoSebelas Maret University1
Purwanto PurwantoSebelas Maret University1
Sutheta Putra MahdaniSebelas Maret University1

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) https://jurnal.uns.ac.id/tanah/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 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">Comparing the accuracy of estimating soil moisture using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI)</dc:title>
	<dc:creator xml:lang="en">Ariyanto, Dwi Priyo</dc:creator>
	<dc:creator xml:lang="en">Aziz, Abdul</dc:creator>
	<dc:creator xml:lang="en">Komariah, Komariah</dc:creator>
	<dc:creator xml:lang="en">Sumani, Sumani</dc:creator>
	<dc:creator xml:lang="en">Abara, Magarsa</dc:creator>
	<dc:subject xml:lang="en">Drought</dc:subject>
	<dc:subject xml:lang="en">Drought index</dc:subject>
	<dc:subject xml:lang="en">Soil moisture content</dc:subject>
	<dc:subject xml:lang="en">Irrigation management</dc:subject>
	<dc:description xml:lang="en">The Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are used to monitor and identify different types of drought, including meteorological, hydrological, and agricultural droughts. This study evaluates the accuracy of estimating soil moisture levels using the two indexes. The analysis correlated the SPI and the SPEI over three years (November 2016–October 2019) using Rstudio, with average monthly soil moisture taken using a Soil Moisture Sensor; 3-, 6- and 12-months SPI and SPEI showed a positive correlation for soil moisture (Sig &amp;lt;0.05), whereas 1-month SPI and SPEI results did not.  A regression test was used to get an equation model for estimating soil moisture content. The correlation for soil moisture between the 1-month SPI and SPEI results was insignificant (p-value &amp;gt;0.05). In contrast, the 3-, 6-, and 12-months indexes were significant (p-value &amp;lt;0.05). Estimating soil moisture content using the SPEI (50–59.09%) had a higher accuracy value than the SPI (36.36%), which indicates the SPEI can more reliably predict soil moisture.</dc:description>
	<dc:publisher xml:lang="en">Universitas Sebelas Maret</dc:publisher>
	<dc:date>2020-06-29</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://jurnal.uns.ac.id/tanah/article/view/41396</dc:identifier>
	<dc:identifier>10.20961/stjssa.v17i1.41396</dc:identifier>
	<dc:source xml:lang="en">SAINS TANAH - Journal of Soil Science and Agroclimatology; Vol. 17 No. 1 (2020): June; 23-29</dc:source>
	<dc:source>2356-1424</dc:source>
	<dc:source>1412-3606</dc:source>
	<dc:source>10.20961/stjssa.v17i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/tanah/article/view/41396/27487</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 Dwi Priyo Ariyanto, Abdul Aziz, Komariah, Sumani, Magarsa Abara</dc:rights>
</oai_dc:dc>