Jahara Jahara
Institut Ilmu Sosial dan Bisnis Andi Sapada

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PEMBERDAYAAN PESERTA DIDIK MELALUI PELATIHAN KETERAMPILAN MASTER OF CEREMONY DWIBAHASA Utary Rustam; Hasbiyah Srianah Amir; Jahara Jahara
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 4 (2026): Inpress Vol. 7 No. 4 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i4.46241

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilaksanakan sebagai upaya untuk meningkatkan keterampilan komunikasi peserta didik di SMAN 5 Parepare melalui pelatihan master of ceremony (MC) dwibahasa. Peserta didik yang tinggal di asrama memiliki potensi yang besar dalam mengasah keterampilan komunikasi, namun teridentifikasi adanya kecemasan dan kurang percaya diri dalam menyampaikan ide secara terbuka. Metode yang digunakan dalam kegiatan ini adalah pelatihan berbasis praktik dengan pendekatan partisipatif dan kolaboratif. Sebanyak 80 peserta didik kelas X dan XI mengikuti pelatihan MC dalam bahasa Indonesia dan Inggris, dengan pendampingan dan umpan balik dari fasilitator. Hasil pelatihan menunjukkan peningkatan signifikan dalam kepercayaan diri, keberanian, serta kemampuan berbahasa Indonesia dan Inggris secara efektif. Selain itu, kegiatan ini juga mendorong peserta didik untuk berani berpendapat dalam diskusi kelas dan aktif dalam kegiatan organisasi sekolah. Hambatan yang dihadapi adalah variasi minat peserta didik, keterbatasan waktu, dan kurangnya pengalaman awal dalam berbicara di depan umum. Secara keseluruhan, kegiatan ini memberikan kontribusi positif bagi pengembangan karakter dan keterampilan komunikasi peserta didik SMAN 5 Parepare. Hasil ini diharapkan dapat menjadi dasar untuk pengembangan kegiatan berkelanjutan dan pembinaan keterampilan komunikasi di lingkungan sekolah secara lebih intensif di masa depan.
Strategy for Implementing Artificial Intelligence in the Lecturer Performance Evaluation System in Higher Education Roosita Cindrakasih; Jahara Jahara; Ita Soegiarto; Hadiansyah Ma’sum; Asmuri Asmuri
International Journal of Educational Narratives Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i2.822

Abstract

Background. Universities face challenges in improving the effectiveness of lecturer performance evaluation to support education and research development. Purpose. Artificial Intelligence (AI) offers the potential to optimize the evaluation process through automation, big data analysis, and smarter decision-making. Method. This research aims to identify and implement strategies for the implementation of artificial intelligence in lecturer performance evaluation systems in higher education. The main focus is to improve the objectivity, accuracy, and efficiency of the evaluation process, so as to provide more meaningful feedback to lecturers. This research uses qualitative and quantitative approaches. Data were obtained through literature studies, interviews with education and technology experts, and analysis of existing lecturer performance evaluation data. An AI system was developed to process and analyze evaluation data by utilizing machine learning algorithms to provide more accurate evaluation recommendations. Results. The result of this research is that implementing artificial intelligence in the lecturer performance evaluation system succeeded in improving the accuracy of the evaluation. The system is able to provide recommendations for lecturer development based on a thorough analysis of their performance. In addition, the time efficiency of the evaluation process was also significantly improved. Conclusion. The conclusion of this study shows that artificial intelligence implementation strategies can be successfully applied in lecturer performance evaluation systems in higher education. With increased objectivity, accuracy, and efficiency, this system makes a positive contribution to human resource management in the academic environment. It also encourages further implementation of AI technology in lecturer performance evaluation to improve the quality of higher education.