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Development of the noise questionnaire in the online learning process and implications for counseling

International Journal of Evaluation and Research in Education (IJERE) · Vol. 13 No. 3 (2024) · hlm. 1363–1374

DOI
10.11591/ijere.v13i3.26805
ISSN
2620-5440, 2252-8822
Terbit
2024-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Starting with online learning requires a lot of attention such as focus, comfortable sitting, and avoiding distractions such as noise. A noise questionnaire instrument is an evaluation tool designed to identify the experience of students in the online learning process. This instrument was developed based on a literature review on noise and online learning. The instrument first stage was given to 110 students and the instrument second stage was given to 460 students in seven universities in Indonesia, 99 male and 361 female respondents aged 18-30 years. The instrument was designed based on DeVito’s noise theory: physical noise, physiological noise, psychological noise, and semantic noise. The statistical test of the instrument used confirmatory factor analysis (CFA) to find the goodness of fit index model. The results of the noise instrument factor analysis show a fit model, acceptable validity, and high internal consistency (α=0.86). The findings of this study produce valid and reliable instruments for identifying noise indicators that are dominant in online learning activities. The results of identifying noise in online learning can be used to design guidance and counseling programs or plan actions to deal with noise in online learning according to the data obtained.

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  • Universitas Islam Negeri Mahmud Yunus Batusangkar
  • Universitas Indraprasta PGRI
  • Universitas Bina Bangsa
  • Universitas Islam Negeri Palopo
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Rekan penulisOrganisasiArtikel bersama
Ardimen ArdimenUniversitas Islam Negeri Mahmud Yunus Batusangkar2
Soibah HarahapUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Yulfita SukmaUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Mauli ZaqiahUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Selva NandiniUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Yuda SyahputraUniversitas Indraprasta PGRI1
Lira ErwindaUniversitas Bina Bangsa1
Afifah Nawang WulanUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Chairatul FadhilaUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Famela ZulfikarUniversitas Islam Negeri Mahmud Yunus Batusangkar1
Umi Wasilatul FirdausiyahAfiliasi tidak diketahui1
Andi sukmawati assaadUniversitas Islam Negeri Palopo1
Baso HasyimAfiliasi tidak diketahui1
Mustaming MustamingAfiliasi tidak diketahui1
Saeful BahriAfiliasi tidak diketahui1
Asep SaefullahAfiliasi tidak diketahui1
Dede BurhanudinAfiliasi tidak diketahui1
Arif SyibromalisiAfiliasi tidak diketahui1

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://ijere.iaescore.com/index.php/IJERE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Development of the noise questionnaire in the online learning process and implications for counseling</dc:title>
	<dc:creator>Ardimen, Ardimen</dc:creator>
	<dc:creator>Tas'adi, Rafsel</dc:creator>
	<dc:creator>Murisal, Murisal</dc:creator>
	<dc:creator>Kenedi, Gusril</dc:creator>
	<dc:creator>Hardivizon, Hardivizon</dc:creator>
	<dc:creator>Tanjung, Romi Fajar</dc:creator>
	<dc:subject xml:lang="en-US">Counseling; Higher education; Noise; Online learning; Questionnaire</dc:subject>
	<dc:description xml:lang="en-US">Starting with online learning requires a lot of attention such as focus, comfortable sitting, and avoiding distractions such as noise. A noise questionnaire instrument is an evaluation tool designed to identify the experience of students in the online learning process. This instrument was developed based on a literature review on noise and online learning. The instrument first stage was given to 110 students and the instrument second stage was given to 460 students in seven universities in Indonesia, 99 male and 361 female respondents aged 18-30 years. The instrument was designed based on DeVito’s noise theory: physical noise, physiological noise, psychological noise, and semantic noise. The statistical test of the instrument used confirmatory factor analysis (CFA) to find the goodness of fit index model. The results of the noise instrument factor analysis show a fit model, acceptable validity, and high internal consistency (α=0.86). The findings of this study produce valid and reliable instruments for identifying noise indicators that are dominant in online learning activities. The results of identifying noise in online learning can be used to design guidance and counseling programs or plan actions to deal with noise in online learning according to the data obtained.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/26805</dc:identifier>
	<dc:identifier>10.11591/ijere.v13i3.26805</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 13, No 3: June 2024; 1363-1374</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v13i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/26805/13887</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>