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All Journal Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JUPE : Jurnal Pendidikan Mandala Abdi Masyarakat Business Management Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Pendidikan Bahasa dan Sastra
Fandir, A
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Agriculture, Biological Sciences & Forestry Arts Humanities Decision Sciences, Operations Research & Management Education Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Innovative Approach For Professional Development For Language Teachers In The Digital Age Nurfidah, Nurfidah; Supriadin, Supriadin; Rosdiyanti, Evi; Fandir, A.
Jurnal Ilmiah Mandala Education (JIME) Vol 12, No 1 (2026): Jurnal Ilmiah Mandala Education (Januari)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v1i2.10112

Abstract

 The development of digital technology has brought significant changes to language learning practices and requires language educators to continuously improve their professional competencies through innovative approaches. This study aims to examine various innovative approaches to the professional development of language educators in the digital era and identify their benefits, challenges, and implications for improving the quality of language learning. The study employed a qualitative descriptive approach through literature review and limited case studies. Data were collected through analysis of reputable scientific documents, education policy reports, and semi-structured interviews with language educators and professional development program managers. Data analysis was conducted thematically to identify patterns, strategies, and barriers in the implementation of innovative technology-based approaches. The results show that innovative approaches, such as digital technology integration, collaborative learning, and strengthening digital literacy, contribute positively to improving the pedagogical, professional, and digital competencies of language educators. However, challenges such as limited technological skills and resistance to change remain major obstacles. These findings emphasize the importance of developing professional development models that are contextual, sustainable, and adaptive to the dynamics of language education in the digital era.
Globalisasi Penulisan Akademis: Keterampilan Menulis, Identitas Intelektual, dan Etika Pendidikan Nurfidah, Nurfidah; Fandir, A.
Pendidikan Bahasa dan Sastra Vol 5, No 1 (2026): Pendidikan Bahasa dan Sastra
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/pendibas.v5i1.10302

Abstract

Penelitian ini menyelidiki dampak globalisasi terhadap keterampilan menulis, identitas intelektual, dan etika pendidikan di Akademi Bisnis Lombok. Dengan menggunakan pendekatan kualitatif dan studi kasus, data dikumpulkan melalui wawancara mendalam dengan 15 mahasiswa dan 3 dosen, serta observasi partisipatif di lingkungan akademik. Hasil penelitian mengungkap bahwa globalisasi telah memengaruhi tuntutan penulisan akademis, mendorong mahasiswa untuk menyesuaikan diri dengan standar internasional yang lebih kompleks. Identitas intelektual mahasiswa juga dipengaruhi, dengan adanya tekanan untuk mengartikulasikan pemikiran secara kritis dan mengatasi dilema identitas antara budaya lokal dan global. Etika pendidikan menjadi semakin penting dalam konteks globalisasi, dengan adanya risiko plagiarisme dan pelanggaran etika lainnya yang meningkat. Temuan ini menyoroti perlunya pendekatan pendidikan yang mengintegrasikan nilai-nilai lokal dan global untuk memperkuat identitas intelektual sambil memastikan kepatuhan terhadap etika pendidikan.
Evaluation of Junior High School Students' Mathematics Learning Using the APIPA Evaluation Model (Assessment, Planning, Implementation, Product, And Appreciation) Syahrir, Syahrir; Sumiadi, Raden; Fandir, A.
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10, No 2 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Maret)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v10i2.10224

Abstract

This study aims to evaluate junior high school (SMP) students' mathematics learning using the APIPA (Assessment, Planning, Implementation, Product, and Appreciation) evaluation model. The APIPA model is used as a comprehensive evaluation framework to assess the quality of mathematics learning processes and outcomes. This study used a quantitative approach with a survey method of 157 junior high school student respondents in North Lombok Regency, Indonesia. Data were collected using a Likert-scale questionnaire instrument and analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach through the SmartPLS application. The results showed that all stages of the APIPA model had a positive and significant effect on the quality of junior high school students' mathematics learning. Thus, the APIPA model is considered effective and relevant as an evaluation model for mathematics learning at the junior high school level
An Artificial Intelligence-Based Mathematics Education Evaluation Model To Improve Research Quality In Higher Education Institutions Syahrir, Syahrir; Fandir, A.
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 4 (2026): Januari
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i4.1927

Abstract

The low accuracy and objectivity of manual evaluation of mathematics learning in higher education impacts the quality of student research. This study aims to develop an Artificial Intelligence (AI)-based evaluation model to improve the effectiveness of assessment and the quality of mathematics education research. The method used was Research and Development (R&D) with a modified Borg & Gall model, encompassing needs analysis, design, expert validation, and limited trials. The resulting model consists of four main components: Data Input, AI Processing, Assessment Output, and Feedback System, all connected through a feedback loop. Validation results showed a "very valid" validity level (average >3.6), while trials demonstrated a 25–30% increase in assessment consistency between lecturers. The AI system was also able to detect student conceptual errors quickly and accurately. The results confirm that this model is effective in improving the objectivity, efficiency, and quality of student research. The study recommends the development of a machine learning-based feedback loop and the integration of the model into the campus Learning Management System (LMS).
Co-Authors Al farisi, Moh. Salman Andi Pranata, Andi Auliya, Indana Zahratul I Putu Buda Yasa Junaedi Junaedi Lila Alwyah Mahfuz, Muhammad Nurfidah, Nurfidah Nurrfidah, Nurrfidah Raden Sumiadi Rahmatika, Qais Ainu Ramdhani, Suci Rosdiyanti, Evi supriadin supriadin Syahrir Syahrir