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The Development of STEM Mobile Learning Package Ecosystem

Jurnal Pendidikan IPA Indonesia · Vol. 8 No. 1 (2019) · pp. 81–88

DOI
10.15294/jpii.v8i1.16905
ISSN
2089-4392, 2339-1286
Published
2019-03-28
Publisher
Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)
Language
eng

Abstract

This study aims to: develop and test the validity, legibility and effectiveness of STEM Mobile Learning Package ecosystems on students’ science and technology literacy using R D research design. STEM Mobile Learning Package was validated by media experts and material experts. The level of legibility is measured by questionnaire through the results of a small-scale trial of a Biology student class. The effectiveness of the application was measured in wide-scale test for biology and natural science students. Data were analyzed using descriptive quantitative.The results showed the the validity on learning package from experts showed valid in 83,6%. Some revisions are needed especially on video aspect which will be better filled with not only text but also voice. Base on data collected from 47 students who have completely filled 12 statements in questionnaire, about 78,7% students stated they could understand the questions very well. Most of students (97,8%) agreed that the use of STEM enhanced their science literacy. Percentage of students that agreed on 12 statements ranged from 74,5% to 100%. Thus those result indicated a high level of legibility Although learning packages can be studied independently, certain topics still requiredto be directly discussed. This learning package is effective on student scientific literacy ranging from 64.6 to 98.6. While the highest achievement of student technology literacy is 92 with an average of 70.32. This study concludes that STEM Mobile Learning Package Ecosystem has good validity and legibility, as well as effective on students’ science and technology literacy.

Keywords

Collaboration network of the authors

40 authors · 178 co-authorship links · 8 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
  • Kasetsart University
  • Politeknik Agraria STPN
  • Diponegoro University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Saiful RidloState University of Semarang6
Bambang PriyonoState University of Semarang5
Stephani Diah PamelasariState University of Semarang5
Nana Kariada Tri MartutiState University of Semarang4
Margareta RahayuningsihAffiliation unknown4
Lisdiana LisdianaAffiliation unknown4
Priyantini WidiyaningrumAffiliation unknown4
Dyah Rini IndriyantiState University of Semarang3
Amnan HarisAffiliation unknown3
Andin IrsadiState University of Semarang3
Nugroho Edi KartijonoState University of Semarang3
Sigit SaptonoState University of Semarang3
Tyas Agung PribadiAffiliation unknown3
Sri SukaesihState University of Semarang3
Indah Urwatin WusqoState University of Semarang2
Nur Kusuma DewiAffiliation unknown2
Amin RetnoningsihAffiliation unknown2
Talitha WidiatningrumAffiliation unknown2
Yustinus Ulung AnggraitoAffiliation unknown2
Partaya PartayaAffiliation unknown2
Aditya MariantiAffiliation unknown2
Sudarmin SudarminAffiliation unknown2
Retno Sri IswariState University of Semarang2
Sri Mulyani Endang SusilowatiAffiliation unknown2
Endah PeniatiState University of Semarang1
R. MartantoPoliteknik Agraria STPN1
Muhamad TaufiqState University of Semarang1
Fenny WidiyantiState University of Semarang1
Andhina Putri HeriyantiDiponegoro University1
Aziz Al AnshoriAffiliation unknown1
Ira NoviantiAffiliation unknown1
PartayaAffiliation unknown1
Moch. Samsul ArifinAffiliation unknown1
Suci IswantiAffiliation unknown1
Nana MartutiAffiliation unknown1
Putut RiharistaAffiliation unknown1

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/nju/index.php/jpii/oai, first harvested 29 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">The Development of STEM Mobile Learning Package Ecosystem</dc:title>
	<dc:creator>Ngabekti, S.</dc:creator>
	<dc:creator>Prasetyo, A. P. B.</dc:creator>
	<dc:creator>Hardianti, R. D.</dc:creator>
	<dc:creator>Teampanpong, J.</dc:creator>
	<dc:subject xml:lang="en-US">ecosystem, mobile learning, STEM</dc:subject>
	<dc:description xml:lang="en-US">This study aims to: develop and test the validity, legibility and effectiveness of STEM Mobile Learning Package ecosystems on students’ science and technology literacy using R  D research design. STEM Mobile Learning Package was validated by media experts and material experts. The level of legibility is measured by questionnaire through the results of a small-scale trial of a Biology student class. The effectiveness of the application was measured in wide-scale test for biology and natural science students. Data were analyzed using descriptive quantitative.The results showed the the validity on learning package from experts showed valid in 83,6%. Some revisions are needed especially on video aspect which will be better filled with not only text but also voice. Base on data collected from 47 students who have completely filled 12 statements in questionnaire, about 78,7% students stated they could understand the questions very well. Most of students (97,8%) agreed that the use of STEM enhanced their science literacy. Percentage of students that agreed on 12 statements ranged from 74,5% to 100%. Thus those result indicated a high level of legibility Although learning packages can be studied independently, certain topics still requiredto be directly discussed. This learning package is effective on student scientific literacy ranging from 64.6 to 98.6. While the highest achievement of student technology literacy is 92 with an average of 70.32. This study concludes that STEM Mobile Learning Package Ecosystem has good validity and legibility, as well as effective on students’ science and technology literacy.</dc:description>
	<dc:publisher xml:lang="en-US">Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)</dc:publisher>
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	<dc:date>2019-03-28</dc:date>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/nju/jpii/article/view/16905</dc:identifier>
	<dc:identifier>10.15294/jpii.v8i1.16905</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Pendidikan IPA Indonesia; Vol 8, No 1 (2019): March 2019; 81-88</dc:source>
	<dc:source>2089-4392</dc:source>
	<dc:source>2339-1286</dc:source>
	<dc:source>10.15294/jpii.v8i1</dc:source>
	<dc:language>eng</dc:language>
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	<dc:relation>https://journal.unnes.ac.id/nju/jpii/article/downloadSuppFile/16905/3666</dc:relation>
	<dc:relation>https://journal.unnes.ac.id/nju/jpii/article/downloadSuppFile/16905/3703</dc:relation>
	<dc:relation>https://journal.unnes.ac.id/nju/jpii/article/downloadSuppFile/16905/3704</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Jurnal Pendidikan IPA Indonesia</dc:rights>
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