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Evaluation model of career counseling program in vocational high school

International Journal of Evaluation and Research in Education (IJERE) · Vol. 8 No. 2 (2019) · hlm. 318–329

DOI
10.11591/ijere.v8i2.14986
ISSN
2620-5440, 2252-8822
Terbit
2019-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

ocational high school graduates are expected to readily enter the work field, nevertheless, the number of unemployment from vocational high school graduates is still big. Optimizing a career guidance service requires complete evaluation feedback. In detail, this research aims to: identifying a construct instrument applicable to evaluate a career guidance program at vocational high school; Developing an evaluation model; and Examining the measurement, structure and the effectivity of the model. The research’s approach and development employ Borg & Gall’s Model. The test toward the product is addressed to nine vocational high schools in Yogyakarta. The validity and reliability instruments are verified through expert judgment, alpha Cronbach analysis, Exploratory Factor Analysis (EFA), testing the measurement model, and for the structural model, it is verified by means of partial least square (PLS) SmartPLS 3.0. The product constitutes a career guidance evaluation model at vocational high school, complete with its application, manipulation, and analysis up to recommendation construction. The result of the EFA test shows six measurement factors of counseling service: assertiveness, career readiness, self-awareness, career awareness, work characteristics, and positive attitude towards guidance and counseling service. The quality instrument product of TADIPHE consists of the target component (3 items), assessment (13 items), design (13 items), installation (22 items) process (44 items), the result (70 items), and effectiveness of the program (7 items). The result of the partial least square shows that all predictors contribute (Q2) as much as 88.91%, and 11.09 % and the rest may be determined by other variables.

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  • Yogyakarta State University
  • Universitas Ahmad Dahlan
  • Sebelas Maret University
  • University of Szeged
  • Universiti Putra Malaysia
  • Islamic University of Indonesia
  • Sunan Kalijaga State Islamic University Yogyakarta
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Rekan penulisOrganisasiArtikel bersama
Heri RetnawatiYogyakarta State University3
Wipsar Sunu Brams DwandaruYogyakarta State University2
Soeharto SoehartoUniversity of Szeged2
Supahar SupaharYogyakarta State University2
Riki PerdanaYogyakarta State University2
Riwayani RiwayaniYogyakarta State University2
Suranto SurantoSebelas Maret University1
Siti Salina MustakimUniversiti Putra Malaysia1
Widihastuti WidihastutiYogyakarta State University1
Taufiq Satria MuktiAfiliasi tidak diketahui1
Samsul HadiYogyakarta State University1
Untung Desy PurnamasariYogyakarta State University1
Farida RahayuAfiliasi tidak diketahui1
Badrun KartowagiranYogyakarta State University1
Himawan PutrantaSunan Kalijaga State Islamic University Yogyakarta1
Marsigit MarsigitYogyakarta State University1
Hanif Cahyo Adi KistoroUniversitas Ahmad Dahlan1
Lukman LukmanIslamic University of Indonesia1
Herminarto SofyanYogyakarta State University1
Ida Nugroho SaputroSebelas Maret University1
Bambang SubaliState University of Semarang1
Ikhsanudin IkhsanudinSultan Ageng Tirtayasa University1
Ika MaryaniUniversitas Ahmad Dahlan1
Mundilarto MundilartoYogyakarta State University1
Eko Setyadi KurniawanUniversitas Muhammadiyah Purworejo1
Jumadi JumadiYogyakarta State University1
Nurul HamidahUniversitas Muhammadiyah Malang1
Aang Zainul AbidinYogyakarta State University1
Nunung FadilahYogyakarta State University1
Widayanti WidayantiLampung University1
Haryanto HaryantoYogyakarta State University1
Dian Andesta BujuriUniversitas Islam Negeri Raden Fatah Palembang1
Arini Rosa SinensisUniversitas Nurul Huda1
Zulkaisi Dwi PangarsoYogyakarta State University1
Nuchron NuchronYogyakarta State University1
FX SudarsonoYogyakarta State University1
Rudi SalamState University of Makassar1

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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">Evaluation model of career counseling program in vocational high school</dc:title>
	<dc:creator>Martaningsih, Sri Tutur</dc:creator>
	<dc:creator>Soenarto, Soenarto</dc:creator>
	<dc:creator>Istiyono, Edi</dc:creator>
	<dc:subject xml:lang="en-US">Career counseling; TADIPHE evaluation model; Vocational school</dc:subject>
	<dc:description xml:lang="en-US">ocational high school graduates are expected to readily enter the work field, nevertheless, the number of unemployment from vocational high school graduates is still big. Optimizing a career guidance service requires complete evaluation feedback. In detail, this research aims to: identifying a construct instrument applicable to evaluate a career guidance program at vocational high school; Developing an evaluation model; and Examining the measurement, structure and the effectivity of the model. The research’s approach and development employ Borg &amp;amp; Gall’s Model. The test toward the product is addressed to nine vocational high schools in Yogyakarta. The validity and reliability instruments are verified through expert judgment, alpha Cronbach analysis, Exploratory Factor Analysis (EFA), testing the measurement model, and for the structural model, it is verified by means of partial least square (PLS) SmartPLS 3.0. The product constitutes a career guidance evaluation model at vocational high school, complete with its application, manipulation, and analysis up to recommendation construction. The result of the EFA test shows six measurement factors of counseling service: assertiveness, career readiness, self-awareness, career awareness, work characteristics, and positive attitude towards guidance and counseling service. The quality instrument product of TADIPHE consists of the target component (3 items), assessment (13 items), design (13 items), installation (22 items) process (44 items), the result (70 items), and effectiveness of the program (7 items). The result of the partial least square shows that all predictors contribute (Q2) as much as 88.91%, and 11.09 % and the rest may be determined by other variables.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Ministry of Research and Technology and  Higher Education</dc:contributor>
	<dc:date>2019-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/14986</dc:identifier>
	<dc:identifier>10.11591/ijere.v8i2.14986</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 8, No 2: June 2019; 318-329</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v8i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/14986/12849</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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