Eti Nurhayati
Universitas Islam Negeri Siber Syekh Nurjati Cirebon

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The Influence of Green-Blue Economy-Based Entrepreneurship Education on Santri Self-Efficacy and Independence Nuraeni; Didin Nurul Rosidin; Eti Nurhayati; Siti Fatimah
Women, Education, and Social Welfare Vol. 3 No. 1 (2026): January - March 2026 | Women, Education, and Social Welfare
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/wesw.v3i1.436

Abstract

Islamic boarding schools are increasingly expected to integrate religious formation with sustainable entrepreneurial competencies that support students’ socio-economic independence. This study examined the influence of Green–Blue Economy-based entrepreneurship education on santri self-efficacy and independence at Ma’had Al-Zaytun, Indramayu, Indonesia. A quantitative explanatory survey design was used, involving 55 twelfth-grade santri selected from a population of 188 through cluster random sampling. Data were collected using a five-point rating-scale questionnaire and analyzed using simple linear regression after normality and linearity assumptions were met. The findings showed that Green–Blue Economy-based entrepreneurship education positively and significantly influenced self-efficacy, explaining 48.4% of its variance, and santri independence, explaining 51.3% of its variance. The stronger contribution to independence indicates that sustainability-oriented entrepreneurship learning is especially relevant for developing practical autonomy, responsibility, and readiness for productive participation. These findings imply that pesantren can strengthen graduate quality by integrating ecological agriculture, maritime skills, Islamic values, and practice-based entrepreneurship into a sustainability-oriented curriculum.
A Deep Learning Model Based on Islamic Spirituality : Improving Students’ Academic Competence and Religious Character Nakhma’ussolikhah Nakhma’ussolikhah; Septi Gumiandari; Eti Nurhayati; Nurlaela Nurlaela
Eduprof : Islamic Education Journal Vol. 8 No. 1 (2026): Eduprof : Islamic Education Journal
Publisher : Program Pascasarjana, Universitas Islam Bunga Bangsa Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47453/eduprof.v8i1.450

Abstract

Religious Education learning in health schools aims to prepare health workers with academic competence and religious character. Based on preliminary research, it was found that learning Islamic religious education has not yet optimal the results, and not yet There is A model that can be used as a reference to improve learning outcomes. An in-depth learning model Islamic spiritual education-based learning can be a solution to provide guidance to teachers in improving students' academic competence and religious character. This research aims to develop an in-depth learning model. based on Islamic spirituality. The development of this model is reinforced by the need for innovation and research-based development within the framework of Analysis, Design, Development, Implementation, Evaluation, Population, and Development. This study involved 219 students and a sample of 35 11th-grade students at the Pharmacy Vocational High School. The qualitative data collection techniques used were observation of the Islamic Religious Education (PAI) learning process and interviews with Islamic Religious Education (PAI) teachers, principals, students, and teachers. And questionnaire to student For quantitative data. Qualitative data analysis This study uses NVivo version 15, and quantitative analysis uses correlation formulas, linear regression, and MANOVA with the help of the SPSS 23 application. Conclusions from the research results: (1) Design from PAI deep learning developed into 3 element base That is IQ, EQ, SQ (2) Implementation of deep learning models includes planning and implementation. In planning, students are conditioned and provided with media and teaching materials. In implementation, role-playing techniques are used. and PJBL (3) Evaluation of the effectiveness of the results of the Deep Learning model Based on NVivo analysis, it shows that students' academic competency indicators are dominated by cognitive and affective aspects. Data processing using the Group Query feature in NVivo shows a strong relationship between academic competency indicators and religious character.