Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021

Giarno, Giarno; Munawar, Munawar; Ferdiansyah, Ervan; Arifianto, Fendy; Pratiwi, Asri; Yulianti, Silvia

doi:10.23917/forgeo.v36i1.16333

Open access Journal SINTA 1

Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021

Forum Geografi · Vol. 36 No. 1 (2022) · pp. 30–38

DOI: 10.23917/forgeo.v36i1.16333
ISSN: 2460-3945, 0852-0682
Published: 2022-02-22
Publisher: Universitas Muhammadiyah Surakarta
Language: eng
License: creativecommons.org/licenses/by-nc-nd/4.0

Abstract

The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.

Keywords

Collaboration network of the authors

33 authors · 81 co-authorship links

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Institut Agama Islam Negeri Kendari
Hasanuddin University
Affiliation unknown

Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles

Show as table

Co-author	Organisation	Joint articles
Yusriadi Yusriadi	Affiliation unknown	2
Dilah Tuah	Affiliation unknown	2
Amiruddin Amiruddin	Hasanuddin University	1
Muhammad Sirih	Affiliation unknown	1
Mira Maisura	Affiliation unknown	1
Chairan M Nur	Affiliation unknown	1
Ismail Ruslan	Affiliation unknown	1
Fahmi Ichwan	Affiliation unknown	1
Raziki Wildan	Affiliation unknown	1
Anwar Fitrianto	Affiliation unknown	1
Erfiani Erfiani	Affiliation unknown	1
Tukhfatur Rizmah Azis	Affiliation unknown	1
L.M. Risman Dwi Jumansyah	Affiliation unknown	1
Juniawati	Affiliation unknown	1
Dedy Ari Asfar	Affiliation unknown	1
Muhammad Pramono Hadi	Affiliation unknown	1
Slamet Suprayogi	Affiliation unknown	1
Sigit Heru Murti	Affiliation unknown	1
Yulhendri Yulhendri	Affiliation unknown	1
Tofan Agung Eka Prasetya	Affiliation unknown	1
Muhammad Rifki Taufik	Affiliation unknown	1
Sarawuth Chesoh	Affiliation unknown	1
Apiradee Lim	Affiliation unknown	1
Don McNeil	Affiliation unknown	1
Balda Balda	Institut Agama Islam Negeri Kendari	1
Nian Endrian	Institut Agama Islam Negeri Kendari	1
Ambar Niang Sarina	Affiliation unknown	1

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) http://journals.ums.ac.id/index.php/fg/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021</dc:title>
	<dc:creator>Giarno, Giarno</dc:creator>
	<dc:creator>Munawar, Munawar</dc:creator>
	<dc:creator>Ferdiansyah, Ervan</dc:creator>
	<dc:creator>Arifianto, Fendy</dc:creator>
	<dc:creator>Pratiwi, Asri</dc:creator>
	<dc:creator>Yulianti, Silvia</dc:creator>
	<dc:subject xml:lang="en-US">Physical Geography, Meteorology, Climatology</dc:subject>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Voluntary Weather Observations</dc:subject>
	<dc:description xml:lang="en-US">The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Surakarta</dc:publisher>
	<dc:contributor xml:lang="en-US">State College of Meteorology Climatology and Geophysics (STMKG)</dc:contributor>
	<dc:date>2022-02-22</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-US"></dc:type>
	<dc:type xml:lang="en-US">Validation ACC, survey</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.ums.ac.id/index.php/fg/article/view/16333</dc:identifier>
	<dc:identifier>10.23917/forgeo.v36i1.16333</dc:identifier>
	<dc:source xml:lang="en-US">Forum Geografi; Vol 36, No 1 (2022): July 2022; 30 - 38</dc:source>
	<dc:source>2460-3945</dc:source>
	<dc:source>0852-0682</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/16333/7821</dc:relation>
	<dc:coverage xml:lang="en-US">Volunteer, Weather, Indonesia, STMKG, Validation</dc:coverage>
	<dc:coverage xml:lang="en-US">Indonesia dry season 2021</dc:coverage>
	<dc:coverage xml:lang="en-US">Observation, IT and validation</dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Giarno Arno, Munawar Munawar, Ervan Ferdiansyah, Fendy Arifianto, Asri Pratiwi, Silvia Yulianti</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>