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Exploring Pre-Service Teacher Motivation: Variations Across Programs and Gender Differences in Indonesia Budiman, Indra; Yanto, Elih Sutisna
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i3.3086

Abstract

This study examines pre-service teachers’ attitudes toward the teaching profession in Indonesia and explores how sociocultural factors shape their motivation. A mixed methods design combined a Teacher Attitude Inventory (TAI) survey (N = 460) with semi-structured interviews (n = 20). Group differences were assessed non-parametrically; interviews were then thematically analyzed to explain the quantitative patterns. Attitudes were broadly positive and stable, with no statistically significant differences by gender, program of study, or semester. Interviews revealed three interlocking strands shaping career decisions: intrinsic–altruistic commitment (meaning, contribution), pragmatic–extrinsic calculus (stability, compensation, entry routes), and sociocultural positioning (family expectations, gendered identities, perceived status). These strands clarify why professional pride and learner-centred beliefs coexist with cautious views of career prospects and perceived limits on teacher voice. Results support (i) gender sensitive mentorship, (ii) discipline-specific motivational scaffolds in ITE, (iii) recruitment and bonded scholarship schemes for rural deployment, and (iv) well-being supports that enhance agency and retention. By integrating group-level convergence with culturally situated narratives, the study reframes motivation as a contextual phenomenon and offers actionable levers for teacher workforce policy and ITE program design.
Model Pembentukan Karakter Islami Melalui Internalisasi pada Anak Usia Dini : Perspektif Psikologi Positif Islami Khairani, Nur; Ginting, Muhammad Hairun; Budiman, Indra; Lubis, Lahmuddin
Continuous Education: Journal of Science and Research Vol. 6 No. 3 (2025)
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/ce.v6i3.2813

Abstract

Pembentukan karakter pada anak usia dini merupakan fondasi penting dalam menciptakan generasi yang tidak hanya cerdas secara intelektual, tetapi juga tangguh secara spiritual dan sosial-emosional. Usia dini dikenal sebagai masa keemasan perkembangan, sehingga internalisasi nilai-nilai Islami menjadi strategi efektif untuk menanamkan karakter mulia sejak awal. Penelitian ini bertujuan untuk mengeksplorasi model pembentukan karakter Islami melalui pendekatan internalisasi berbasis psikologi positif Islami, dengan ruang lingkup pada pendidikan anak usia dini dalam konteks keluarga, sekolah, dan lingkungan sosial. Pendekatan yang digunakan adalah kualitatif-deskriptif melalui studi pustaka, dengan menganalisis literatur akademik, sumber keislaman (Al-Qur’an dan hadits), serta hasil penelitian sebelumnya. Temuan penelitian menunjukkan bahwa strategi internalisasi nilai Islami secara efektif dapat dilakukan melalui empat pendekatan utama: keteladanan, pembiasaan, cerita dan permainan edukatif, serta kolaborasi antara sekolah dan keluarga. Selain itu, budaya sekolah Islami dan peran keluarga sebagai madrasah pertama menjadi faktor penunjang keberhasilan proses internalisasi. Perspektif psikologi positif Islami memperkuat proses ini melalui penguatan nilai seperti iman, syukur, tawakal, sabar, optimisme, dan empati. Internalisasi nilai bukan hanya proses transfer pengetahuan, tetapi pengalaman yang menyentuh aspek afektif dan spiritual anak secara langsung, sehingga nilai-nilai tersebut menjadi bagian dari kepribadian yang utuh. Dengan demikian, model pembentukan karakter Islami berbasis psikologi positif tidak hanya relevan secara teoritis, tetapi juga aplikatif dalam menciptakan lingkungan pendidikan yang mendukung perkembangan karakter anak secara holistik. Hasil penelitian ini diharapkan dapat menjadi referensi dalam pengembangan strategi pendidikan karakter Islami yang kontekstual dan berkelanjutan di era modern.
Fintech, Digital Branding, and Customer Engagement to Enhance Gayo Arabica Coffee SMEs' Performance Djohan, Deva; Budiman, Indra; Nasib; Razaq, Mhd Restu; Fathoni, Mahammad
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.3540

Abstract

This study aims to analyze the influence of financial technology (fintech) and digital branding on the financial performance of Gayo Arabica coffee MSMEs in Central Aceh Regency, with customer engagement as a mediating variable. A quantitative approach was employed, with data collected through questionnaires distributed to 78 MSME actors actively utilizing digital technology in their business operations. Purposive sampling was applied, and data were analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. The findings indicate that both fintech and digital branding have a significant effect on customer engagement and financial performance. Furthermore, customer engagement is proven to be a significant mediating variable in the relationship between fintech and financial performance, as well as between digital branding and financial performance. These results highlight the importance of integrating financial technology and digital branding strategies with customer engagement to optimize business outcomes. This study contributes theoretically to digital entrepreneurship literature and offers practical insights for MSMEs, platform developers, and policymakers particularly regarding financial literacy improvement and brand strengthening. The study is geographically limited, and future research is recommended to conduct comparative studies across sectors and regions.
Application of the Mamdani Fuzzy Inference System in Evaluating Traffic Accident Risk for Four-Wheeled Vehicles Purnama, Fahrul; Budiman, Indra; Azizah, Nur
Jurnal Sains Matematika dan Statistika Vol 12, No 1 (2026): JSMS Januari 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v12i1.38351

Abstract

Traffic accidents involving four-wheeled vehicles constitute a complex problem influenced by multiple factors, including vehicle speed and traffic density. Accurate accident-risk assessment is essential to support preventive and control efforts on road networks. This study aims to design and implement an accident-risk evaluation model based on a Mamdani-type Fuzzy Inference System (FIS) to accommodate uncertainty in decision-making. The research procedure includes identifying input and output variables, constructing membership functions, fuzzification, formulating fuzzy rules, and performing inference and defuzzification. Testing results indicate that, for a combination of 80 km/h speed and 70 vehicles/km density, the centroid defuzzification method yields a risk value of 25.31%. This value falls within the low-to-moderate risk category. These findings suggest that the developed Mamdani FIS model is effective as a methodological approach for accident-risk evaluation.
Exploring Pre-Service Teacher Motivation: Variations Across Programs and Gender Differences in Indonesia Budiman, Indra; Yanto, Elih Sutisna
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i3.3086

Abstract

This study examines pre-service teachers’ attitudes toward the teaching profession in Indonesia and explores how sociocultural factors shape their motivation. A mixed methods design combined a Teacher Attitude Inventory (TAI) survey (N = 460) with semi-structured interviews (n = 20). Group differences were assessed non-parametrically; interviews were then thematically analyzed to explain the quantitative patterns. Attitudes were broadly positive and stable, with no statistically significant differences by gender, program of study, or semester. Interviews revealed three interlocking strands shaping career decisions: intrinsic–altruistic commitment (meaning, contribution), pragmatic–extrinsic calculus (stability, compensation, entry routes), and sociocultural positioning (family expectations, gendered identities, perceived status). These strands clarify why professional pride and learner-centred beliefs coexist with cautious views of career prospects and perceived limits on teacher voice. Results support (i) gender sensitive mentorship, (ii) discipline-specific motivational scaffolds in ITE, (iii) recruitment and bonded scholarship schemes for rural deployment, and (iv) well-being supports that enhance agency and retention. By integrating group-level convergence with culturally situated narratives, the study reframes motivation as a contextual phenomenon and offers actionable levers for teacher workforce policy and ITE program design.
PELATIHAN PENDEKATAN DEEP LEARNING DALAM PEMBELAJARAN IPA BAGI KOMUNITAS BELAJAR MGMP IPA KABUPATEN PURWAKARTA Budiman, Indra; Sari, Rika Mulyati Mustika; Roesdiana, Lessa
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 10 (2026): Maret 2026
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The goal of this community service program is to improve the teaching skills of junior high school science (IPA) teachers by teaching them a deep learning method that fits with the Merdeka Curriculum. The Science Teachers' Professional Learning Community (MGMP IPA) of Purwakarta Regency was the program's partner. The approaches used to put the plan into action included needs analysis, conceptual training, hands-on practice in making instructional materials based on deep learning with the use of artificial intelligence (AI), guided classroom implementation, and reflective evaluation. Data were gathered via pre-test and post-test questionnaires, along with observation sheets evaluating the quality of teaching materials. The findings show that teachers' comprehension of concepts (±75%), teaching skills (±85%), and the quality of instructional materials (±80%) have all improved a lot. Teachers showed that they could create science lessons that are more meaningful, focused on the student, and encourage critical and reflective thinking. The initiative also made it easier for colleges and universities to work together with teachers by creating a lasting learning community. The results imply that AI-assisted deep learning training is a good way to make science teachers more professional, and it could work well in other areas as well.