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Optimalisasi Karya Tulis Ilmiah Melalui Pelatihan Penggunan AI pada Guru Madrasah Mayasari, Diana; Akramullah, Akramullah; Agustin, Marchella
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): MEI-AGUSTUS
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v5i2.4151

Abstract

This community service program aims to improve the scientific writing skills of madrasah teachers through training in the use of Artificial Intelligence (AI) technology. The background of this activity is the low quality of teacher assistance for students participating in the Madrasah Young Researchers Supercamp (MYRES), mainly due to limited understanding of scientific writing and AI technology. The training was conducted at MTsN 2 Jombang using pedagogical and andragogical approaches, with materials covering the structure of research proposals and reports using ChatGPT, Grammarly, and Mendeley. The results showed a significant improvement in teachers’ ability to draft research proposals and reports, provide strong arguments, present findings, and utilize AI tools in academic activities. Despite challenges such as time constraints and limited facilities, the training remained effective. This program has positively contributed to fostering a research culture and technological literacy within the madrasah environment, and has prepared teachers to guide students for the upcoming MYRES 2025.
PENERAPAN METODE CLUSTERING K-MEANS UNTUK MENDAPATKAN NILAI RATA-RATA SISWA (STUDI KASUS : SMP NEGERI 9 AMBON) Lasatira, Gerry Santos; Akramullah, Akramullah
Jurnal Informasi dan Teknologi Vol 1 No 2 (2024): JITU: Jurnal Informasi dan Teknologi Universitas Cokroaminoto Palopo
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jitu.v1i2.61

Abstract

Penelitian ini membahas tentang pengambilan nilai rata-rata terhadap siswa Smp Negeri 9 Ambon menggunakan metode clustering K-Means, dengan menggunakan metode tersebut memungkinkan didapatkannya nilai rata-rata terbaik berdasarkan nilai setiap mata pelajaran. Sehingga dapat ditemukan nilai rata-rata dari keseluruhan siswa, berdasarkan rule-rule yang dihasilkan dari data-data yang terdapat di dalam database. Pengujian dilakukan dengan menggunakan Aplikasi Rapidminer. Untuk hasilnya nanti akan ditampilkan dalam bentuk tabel relasi keterkaitan nilai yang ada, sebagai strategi dalam pendataan siswa berprestasi dan penulisan rangking siswa dalam laporan akhir semester. Agar kedepannya, pembuatan Rapor ini menjadi lebih mudah dan terstruktur