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Reconstruction of Ethno-STEM Integrated Project Learning Models for Explanation of Scientific Knowledge Regarding Aroma Compounds of Indonesian and World Herbal Teas

Jurnal Pendidikan IPA Indonesia · Vol. 13 No. 2 (2024)

DOI
10.15294/wknw8m59
ISSN
2089-4392, 2339-1286
Published
2024-07-03
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The background to this research is the importance of finding an integration pattern between the project learning model and Ethno-STEM based inquiry to explain scientific knowledge regarding the aroma of herbal tea. The fundamental research objective is to design an integration pattern for the project and Ethno-STEM learning model and reconstruct scientific knowledge based on public knowledge of the aromatic volatile compounds of Indonesian and world herbal teas. This research method and approach is mixed research. This qualitative approach is to find the integration of the project learning model and Ethno-STEM (Ethno-STEM PjLM) and its syntax. A quantitative approach regarding analyzing tea aroma volatile compounds using an Arduino gas sensor: research data from literature studies, interviews, reconstruction, and data on identifying volatile compounds in the aroma of herbal tea analyzed descriptively, qualitatively, and quantitatively. The results of the research concluded: (1) the reconstruction and integration pattern between PjLM Ethno-STEM is an integrated pattern with SUDARMIN syntax, (2) the reconstruction of scientific knowledge based on public knowledge regarding the process of isolation, extraction, and bioactivity of secondary metabolites, (3) herbal tea aroma volatiles compounds are identified by Arduino sensor: carbon dioxide, methane, propane, butane, acetone, alcohol, and ester, (4) the implementation of Ethno-STEM PjLM received a positive response from students.

Keywords

Collaboration network of the authors

40 authors · 97 co-authorship links · 40 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.

  • State University of Semarang
  • Sebelas Maret University
  • Universitas Jambi
  • Universitas Negeri Surabaya
  • Sultan Idris Education University
  • Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung
  • University of Malaya
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Agung Tri PrasetyaState University of Semarang1
Dwi YuliantiState University of Semarang1
Yasmin AzzahraState University of Semarang1
Ratna Kumala DewiUniversitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung1
Fonny Dameaty HutagalungUniversity of Malaya1
Miranita KhusniatiState University of Semarang1
SarwantoSebelas Maret University1
ParminState University of Semarang1
Margaret Dwi Wiwik ErnawatiUniversitas Jambi1
Asrial AsrialUniversitas Jambi1
Damris MuhammadUniversitas Jambi1
H. HaryantoUniversitas Jambi1
Widha SunarnoSebelas Maret University1
Sabar NurohmanYogyakarta State University1
Sarwanto SarwantoSebelas Maret University1
Andin Vita AmaliaState University of Semarang1
Sigit Ari PrabowoUniversitas Islam Negeri Salatiga1
Oky Eviana Putri RahmadaniState University of Semarang1
Anisia KholidahState University of Semarang1
A. RositaAffiliation unknown1
L. ZahroAffiliation unknown1
S. E. PujiastutiAffiliation unknown1
R. AsyharAffiliation unknown1
Z. ZaenuriAffiliation unknown1
Pramudya Dwi Aristya PutraUniversitas Jember1
Indah Urwatin WusqoState University of Semarang1
Muh. Waskito ArdhiState University of Semarang1
Zaenuri ZaenuriState University of Semarang1
Yudhi UtomoState University of Malang1
E. JuulVIA University College1
Wahyu Budi SabtiawanUniversitas Negeri Surabaya1
Beni SetiawanUniversitas Negeri Surabaya1
Dian Kurvayanti InnatesariUniversitas Negeri Surabaya1
Woro SumarniState University of Semarang1

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.unnes.ac.id/journals/jpii/oai, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Reconstruction of Ethno-STEM Integrated Project Learning Models for Explanation of Scientific Knowledge Regarding Aroma Compounds of Indonesian and World Herbal Teas</dc:title>
	<dc:creator xml:lang="en">Sudarmin, Sudarmin</dc:creator>
	<dc:creator xml:lang="en">Savitri, Erna Noor</dc:creator>
	<dc:creator xml:lang="en">Pujiastuti, Rr. S. E.</dc:creator>
	<dc:creator xml:lang="en">Yamtinah, Sri</dc:creator>
	<dc:creator xml:lang="en">Mohd Zaim, H. Hanim binti </dc:creator>
	<dc:creator xml:lang="en">Ariyatun</dc:creator>
	<dc:subject xml:lang="en">aroma compound</dc:subject>
	<dc:subject xml:lang="en">ethno-STEM; project learning model; reconstruction</dc:subject>
	<dc:description xml:lang="en">The background to this research is the importance of finding an integration pattern between the project learning model and Ethno-STEM based inquiry to explain scientific knowledge regarding the aroma of herbal tea.  The fundamental research objective is to design an integration pattern for the project and Ethno-STEM learning model and reconstruct scientific knowledge based on public knowledge of the aromatic volatile compounds of Indonesian and world herbal teas. This research method and approach is mixed research. This qualitative approach is to find the integration of the project learning model and Ethno-STEM (Ethno-STEM PjLM) and its syntax. A quantitative approach regarding analyzing tea aroma volatile compounds using an Arduino gas sensor: research data from literature studies, interviews, reconstruction, and data on identifying volatile compounds in the aroma of herbal tea analyzed descriptively, qualitatively, and quantitatively. The results of the research concluded: (1) the reconstruction and integration pattern between PjLM Ethno-STEM is an integrated pattern with SUDARMIN syntax, (2) the reconstruction of scientific knowledge based on public knowledge regarding the process of isolation, extraction, and bioactivity of secondary metabolites, (3) herbal tea aroma volatiles compounds are identified by Arduino sensor: carbon dioxide, methane, propane, butane, acetone, alcohol, and ester, (4) the implementation of Ethno-STEM PjLM received a positive response from students.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-07-03</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.unnes.ac.id/journals/jpii/article/view/4556</dc:identifier>
	<dc:identifier>10.15294/wknw8m59</dc:identifier>
	<dc:source xml:lang="en">Jurnal Pendidikan IPA Indonesia; Vol. 13 No. 2 (2024): June 2024</dc:source>
	<dc:source>2089-4392</dc:source>
	<dc:source>2339-1286</dc:source>
	<dc:source>10.15294/jpii.v13i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jpii/article/view/4556/867</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Jurnal Pendidikan IPA Indonesia</dc:rights>
</oai_dc:dc>