PELATIHAN KARYA TULIS ILMIAH BIDANG SAINS DATA BAGI GURU MADRASAH ALIYAH NEGERI (MAN) 2 NGANJUK
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https://doi.org/10.36456/kanigara.v4i1.8535Keywords:
Penelitian, Analisis Data, Publikasi, Artikel Ilmiah, Pengembangan Ilmu PengetahuanAbstract
Scientific writing is not only a formal tool, but is an active step in exploring, processing and documenting knowledge in the field of data science. These skills are key in responding to business and social challenges that take advantage of abundant information. Therefore, the Training on Writing Scientific Papers in the Field of Data Science for MAN 2 Nganjuk teachers, which was organized by the Student Creativity Program Team (PKM) of PGRI Adi Buana University Surabaya, was based on the urgency to empower educators in conveying the concepts and application of data science . The training material includes basic data science concepts and practical guidance for writing scientific papers. Evaluation of participant satisfaction shows positive results, reflecting the effectiveness of the training and positive contribution to the development of science and technology in society.
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References
Agus, P. A. W. (2018). Penulisan karya tulis ilmiah. Nizamia Learning Center.
Anuraga, G., Indrasetianingsih, A., & Athoillah, M. (2021). Pelatihan Pengujian Hipotesis Statistika Dasar dengan Software R. BUDIMAS: Jurnal Pengabdian Masyarakat, 3(2).
Athoillah, M., & Putri, R. K. (2023). Sistem Informasi Manajemen. CV Pena Persada.
Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64–73.
Igual, L., Seguí, S., Igual, L., & Seguí, S. (2017). Introduction to data science. Springer.
Indonesia, L. I. P. (2012). Pedoman Karya Tulis Ilmiah. Peraturan Kepala Lembaga Ilmu Pengetahuan Indonesia Nomor, 4.
Jenita, J., Saputra, A. M. A., Salwa, S., Wijayanto, G. W., Haryanto, H., & Novandalina, A. (2023). Pemanfaatan Artificial Intelligence Dalam Menyusun Artikel Ilmiah Terindeks Sinta. Community Development Journal: Jurnal Pengabdian Masyarakat, 4(5), 10292–10299.
Kotu, V., & Deshpande, B. (2018). Data science: concepts and practice. Morgan Kaufmann.
Kristanto, V. H. (2018). Metodologi Penelitian Pedoman Penulisan Karya Tulis Ilmiah:(KTI). Deepublish.
Muhammad Wali, S. T., Efitra, S., Kom, M., Sudipa, I. G. I., Kom, S., Heryani, A., Sos, S., Hendriyani, C., Rakhmadi Rahman, S. T., & Kom, M. (2023). Penerapan & Implementasi Big Data di Berbagai Sektor (Pembangunan Berkelanjutan Era Industri 4.0 dan Society 5.0). PT. Sonpedia Publishing Indonesia.
Muslih, M., & dalam Epistemologi, L. K. (2020). Sains, dari Pengetahuan Khusus, Aktivitas Ilmiah, hingga Disiplin Ilmu. Falsafah Sains, July 2019, 27–53.
Nasution, M. K. M. (2019). Sains data. Sains Data, 1(1).
Profesi, S., & Madya, A. (n.d.). BIG DATA, MILLENNIAL, & ENTREPRENEURSHIP.
Purnamasari, I., & Rusni, R. (2019). Tri Dharma Perguruan Tinggi Menjawab Tantangan Globalisasi. Prosiding Seminar Nasional Program Pascasarjana Universitas Pgri Palembang.
Sarosa, S. (n.d.). Eksplorasi dan Analisis Data Bisnis. PT Kanisius.
Van Der Aalst, W., & van der Aalst, W. (2016). Data science in action. Springer.
Wardani, D. M. (n.d.). Karya Tulis Ilmiah Sains Terapan.
Wibowo, W. (2012). Tata Permainan Bahasa Karya Tulis Ilmiah. Rikobidik Antasena.
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