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Development of an Internet of Things-Based Scoreboard Learning Media for Mechatronics Control Technique Education

Journal of Vocational and Career Education · Vol. 8 No. 2 (2023) · pp. 68–76

ISSN
2503-2305, 2339-0344
Published
2023-12-15
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

This research is motivated by the need for students in the Electronics Engineering program to master technology that meets the demands of the workforce, one of which is the Internet of Things (IoT). However, based on observations and interviews with Control Engineering teachers at SMK Negeri 1 Bawang, this technology has not been optimally taught. Therefore, there is a need to develop IoT-based learning media. This study aims to develop an IoT-based scoreboard learning media, and to evaluate its feasibility, practicality, and effectiveness. The research employs the Research and Development method using the ADDIE model, which includes five stages: Analyze, Design, Development, Implementation, and Evaluation. Data were collected using media feasibility assessment sheets, material feasibility assessment sheets, product practicality questionnaires, and tests. The data analysis methods used in this study include (1) categorical analysis to determine the feasibility level of the learning media; (2) reproducibility and scalability coefficients to determine the practicality of the learning media; and (3) N-Gain to measure the effectiveness of the learning media. The results show that the developed learning media has a high level of feasibility. The practicality of the product was rated as practical based on user assessments. Additionally, the improvement in student learning outcomes, as indicated by the N-Gain scores, demonstrates that the learning media is effective for use.

Keywords

Collaboration network of the authors

40 authors · 113 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Eko SupraptonoAffiliation unknown7
Samsudin AnisAffiliation unknown7
Sri Endah WahyuningsihAffiliation unknown6
Ade Novi Nurul IhsaniAffiliation unknown5
Nur QudusAffiliation unknown4
Adhi KusumastutiAffiliation unknown4
Rini KusumawardaniAffiliation unknown3
Muhammad KhumaediAffiliation unknown3
Basyirun BasyirunAffiliation unknown3
Ely RudyatmiAffiliation unknown2
Noor HudallahAffiliation unknown2
Danang Dwi SaputroAffiliation unknown2
Muhammad Nur FuadAffiliation unknown2
Shohihatur RohmanAffiliation unknown1
Denny Firman SetiyantoAffiliation unknown1
Pramaditya Putra Komala DewaAffiliation unknown1
Pedro AndhikaAffiliation unknown1
Naufal TinovAffiliation unknown1
Vita YulianaAffiliation unknown1
Hadromi HadromiAffiliation unknown1
Muh. Elvio Putra KresnadiAffiliation unknown1
Retno MarlangenAffiliation unknown1
Dewi MasrurohAffiliation unknown1
Bambang Sugeng SuryatnaAffiliation unknown1
Tukiman TukimanAffiliation unknown1
Galang Wahid KurniawanAffiliation unknown1
Muhammmad KhumaediAffiliation unknown1
Mohamad IrfanAffiliation unknown1
Sonhaji SonhajiAffiliation unknown1
Ardhana Luthfi HidayattullahAffiliation unknown1
Muhammad Ikhwan RifqiAffiliation unknown1
Valentinus Arsfendi FernandoAffiliation unknown1
Ii EldianaAffiliation unknown1
Doni Yudi IrawanAffiliation unknown1
Danang Wahyu PratamaAffiliation unknown1
Wahyudi WahyudiAffiliation unknown1
Muhamad Sa’dullahAffiliation 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/journals/jvce/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Development of an Internet of Things-Based Scoreboard Learning Media for Mechatronics Control Technique Education</dc:title>
	<dc:creator xml:lang="en">Fauzi, Yoyon</dc:creator>
	<dc:creator xml:lang="en">Sutopo, Yeri </dc:creator>
	<dc:creator xml:lang="en">Widjanarko, Dwi </dc:creator>
	<dc:subject xml:lang="en">Learning Media; Scoreboard; Internet of Things; Mechatronics Control Technique; Vocational High School</dc:subject>
	<dc:description xml:lang="en">This research is motivated by the need for students in the Electronics Engineering program to master technology that meets the demands of the workforce, one of which is the Internet of Things (IoT). However, based on observations and interviews with Control Engineering teachers at SMK Negeri 1 Bawang, this technology has not been optimally taught. Therefore, there is a need to develop IoT-based learning media. This study aims to develop an IoT-based scoreboard learning media, and to evaluate its feasibility, practicality, and effectiveness.
The research employs the Research and Development method using the ADDIE model, which includes five stages: Analyze, Design, Development, Implementation, and Evaluation. Data were collected using media feasibility assessment sheets, material feasibility assessment sheets, product practicality questionnaires, and tests. The data analysis methods used in this study include (1) categorical analysis to determine the feasibility level of the learning media; (2) reproducibility and scalability coefficients to determine the practicality of the learning media; and (3) N-Gain to measure the effectiveness of the learning media.
The results show that the developed learning media has a high level of feasibility. The practicality of the product was rated as practical based on user assessments. Additionally, the improvement in student learning outcomes, as indicated by the N-Gain scores, demonstrates that the learning media is effective for use.
 
 </dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-12-15</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/jvce/article/view/10450</dc:identifier>
	<dc:source xml:lang="en">Journal of Vocational and Career Education; Vol. 8 No. 2 (2023): December 2023; 68-76</dc:source>
	<dc:source>2503-2305</dc:source>
	<dc:source>2339-0344</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jvce/article/view/10450/1081</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Journal of Vocational and Career Education</dc:rights>
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