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All Journal CERMIN: Jurnal Penelitian Jurnal Pemberdayaan Masyarakat
Nurhidayat, Rojabita Dwirgahayu
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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ANALISIS KONSEP FISIKA PADA HIDROPONIK NFT (NUTRIENT FILM TECHNIQUE) Mahmudi, Kendid; Nurhidayat, Rojabita Dwirgahayu; Nurrohmah, Nova Budi; Sudarti, Sudarti
CERMIN: Jurnal Penelitian Vol 9 No 1 (2025): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/cermin_unars.v9i1.6369

Abstract

Sistem hidroponik Nutrient Film Technique (NFT) merupakan salah satu metode budidaya tanaman tanpa tanah yang memanfaatkan aliran nutrisi tipis secara berkelanjutan. Penelitian ini bertujuan untuk menganalisis konsep-konsep fisika yang mendasari operasional dan efisiensi sistem hidroponik NFT melalui metode tinjauan literatur. Berbagai jurnal ilmiah dan publikasi relevan dieksplorasi untuk mengidentifikasi dan mensintesis prinsip-prinsip fisika yang berperan dalam pergerakan larutan nutrisi dengan menerapkan konsep mekanika fluida, penyerapan nutrisi oleh akar yakni difusi, pertukaran gas yang didasari oleh hukum Fick, serta faktor-faktor lingkungan seperti suhu dan cahaya yang memberikan pengaruh dalam pertumbuhan tanaman pada sistem NFT. Selain itu, kajian ini juga mempertimbangkan peran desain sistem dan dinamika aliran dalam menentukan efektivitas distribusi nutrisi ke seluruh akar tanaman. Pada pembahasan ini menyoroti bagaimana pemahaman dan penerapan prinsip-prinsip fisika dapat dioptimalkan untuk meningkatkan efisiensi penggunaan nutrisi, pertumbuhan tanaman yang sehat, dan produktivitas sistem hidroponik NFT secara keseluruhan. Implikasi dari tinjauan ini memberikan wawasan yang lebih mendalam bagi pengembangan dan inovasi teknologi hidroponik NFT di masa depan
Artificial Intelligence-Based Assessment Training to Improve Teacher Competence Meilina, Ike Lusi; Maryani, Maryani; Ernasari, Ernasari; Badarsila, Adinda Citra; Nurhidayat, Rojabita Dwirgahayu; Kurniawan, Aditya
Jurnal Pemberdayaan Masyarakat Vol 5, No 1 (2026)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jpm.v5i1.683

Abstract

The integration of technology, particularly Artificial Intelligence (AI), into learning assessment plays a pivotal role in improving the effectiveness of education. However, the digital competence gap has caused teachers at MTs. Hidayatul Mubtadi’in Jember will still predominantly use conventional assessments. This community service program aims to improve teachers’ professional competencies in designing AI-based assessment instruments. The implementation method combines the development of 4D model materials (Define, Design, Develop, Disseminate) with Direct Instruction and Cooperative Learning model training, which 22 teachers followed. The evaluation instruments included an AI assessment guidebook validation sheet, competency tests, and participant satisfaction questionnaires. The results of the activity show that the developed AI Assessment Guidebook is valid, with a score of 82.00. The effectiveness of the training is evident from the high level of participant understanding, with an average post-test score of 88.67 and a participant satisfaction rating of 89.56 (Very Good). Implicitly, this training significantly contributed to developing teacher competency, as participants can now independently create a variety of questions and assessment rubrics using AI. This program recommends continuous technological adaptation to support the digital madrasah (Islamic school) ecosystem.
Co-Authors Aditya Kurniawan Badarsila, Adinda Citra Ernasari, Ernasari Ike Lusi Meilina Mahmudi, Kendid Maryani Maryani Nurrohmah, Nova Budi Sudarti Sudarti