The Function of Natural Science in Lecturer Performance at Measurement at IAIN Curup - Bengkulu

Authors

Ratih Komala Dewi , Citra Puspa Permata

DOI:

10.29303/jppipa.v11i3.10797

Published:

2025-03-25

Issue:

Vol. 11 No. 3 (2025): March

Keywords:

Function, Natural Science, Lecturer, Performance

Research Articles

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How to Cite

Dewi, R. . K., & Permata, C. P. (2025). The Function of Natural Science in Lecturer Performance at Measurement at IAIN Curup - Bengkulu. Jurnal Penelitian Pendidikan IPA, 11(3), 349–354. https://doi.org/10.29303/jppipa.v11i3.10797

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Abstract

The use of digital technology for lecturer performance management at IAIN Curup is elementary. Natural sciences—particularly psychology —can be applied to better understand human behavior, cognitive processes, stress responses, and other factors influencing workplace dynamics and employee well-being. In other aspects, to measure the performance of lecturers, in principle, it is reflected in the productivity in carrying out education and teaching, research, and community service, known as the Tri Dharma of Higher Education. It aims to formulate theories and laws that explain the natural world and predict future outcomes. The emergence of college management has transformed the landscape of Human Resource Management (HRM) by introducing advanced technologies, including artificial intelligence (AI), machine learning, and big data analytics. These innovations have enhanced HRM processes such as recruitment, training, performance evaluation, and employee engagement. This research is expected to provide information that natural and computer sciences play a role in managing the performance of lecturers at Institut Agama Islam Negeri Curup. Natural sciences play a critical role in understanding the dynamics of these technological advancements, offering insights into human behavior, cognitive processes, and organizational ecosystems. This article explores how principles of natural science integrate with modern HRM practices in university. Through a qualitative approach, we examine case studies to illustrate the application of natural science in human resources strategies at university, highlighting the advantages and challenges of adopting a scientifically-informed HRM framework.

References

Abhayaguanrathna, W., & Bhagyani, A. A. B. (2024). Conceptualizing the impact of green HRM practices on organizational investment decisions: Theoretical insights into the mediating role of employee green behavior. 20th International Conference on Business Management ( ICBM). Retrieved from http://dr.lib.sjp.ac.lk/handle/123456789/13018

Adji, S. S., Sukmayadi, D., & others. (2023). Development of Test Instruments Based on Cognitive Processes and Knowledge Dimensions on Environmental Chemistry. Jurnal Penelitian Pendidikan IPA, 9(12), 12104–12115. https://doi.org/10.29303/jppipa.v9i12.4853

Aithal, P. S., & Aithal, S. (2023). How to empower educators through digital pedagogies and faculty development strategies. International Journal of Applied Engineering and Management Letters (IJAEML), 7(4), 139–183. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674876

Amanulloh, M. J. A., Marbun, M., Sobri, A. Y., & Ubaidillah, A. F. (2024). 21st Century Skills Development in Secondary Schools: A Systematic Literature Review. Education and Human Development Journal, 9(3), 212–225. https://doi.org/10.33086/ehdj.v9i3.5522

Artha, B., Kurniyati, N. N., Ratnawati, E. T. R., & others. (2024). Artificial Intelligence: A New Paradigm in Human Resource Management. Jurnal Penelitian Pendidikan IPA, 10(SpecialIssue), 372–376. https://doi.org/10.29303/jppipa.v10iSpecialIssue.8609

Bock, K., & Garnsey, S. M. (2008). Language Processing. A Companion to Cognitive Science, 5(1), 226–234. https://doi.org/10.1002/9781405164535.ch14

Calitz, A. P., Poisat, P., & Cullen, M. (2017). The future African workplace: The use of collaborative robots in manufacturing. SA Journal of Human Resource Management, 1(2), 1–11. https://doi.org/10.4102/sajhrm.v15i0.901

Cao, L., Yang, Q., & Yu, P. S. (2021). Data science and AI in FinTech: an overview. International Journal of Data Science and Analytics, 12(2), 81–99. https://doi.org/10.1007/s41060-021-00278-w

Christian, Y., & Erline, M. (2022). Web-Based Chatbot With Natural Language Processing and Knuth-Morris-Pratt (Case Study: Universitas Internasional Batam). JST (Jurnal Sains Dan Teknologi), 11(1), 132–141. https://doi.org/10.23887/jstundiksha.v11i1.43258

Cooke, F. L. (2018). Concepts, contexts, and mindsets: Putting human resource management research in perspectives. Human Resource Management Journal, 28(1), 1–13. https://doi.org/10.1111/1748-8583.12163

Hadiyatno, D., Rohman, D. T., Yuliani, T., & Saraswati, W. (2024). The Role of Natural Science in HRM at Industry 4.0 Era. Jurnal Penelitian Pendidikan IPA, 10(12), 10278–10283. https://doi.org/10.29303/jppipa.v10i12.9557

Handayani, Y., & Hidayat, N. (2024). Strategi Peningkatan Kinerja Dosen dalam Mewujudkan Perguruan Tinggi Berakreditasi Unggul. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 7(12), 14003–14008. https://doi.org/10.54371/jiip.v7i12.6426

Haratua, C. S., Lestari, A., Abdul, R. C., Haryanti, W. D., Suratno, S., & Ardiansyah, T. (2025). Peran Matematika dan Ilmu Pengetahuan Alam dalam Menghadapi Tantangan SDM di Society 5.0. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 8(1), 218–224. https://doi.org/10.54371/jiip.v8i1.6635

Jia, Q., Guo, Y., Li, R., Li, Y., & Chen, Y. (2018). A conceptual artificial intelligence application framework in human resource management. Proceedings of the International Conference on Electronic Business (ICEB), 106–114. Retrieved from https://aisel.aisnet.org/iceb2018/91/

Kato, Y. (2020). AI/Fintech and Asset Management Businesses. Public Policy Review, 16(4), 1–28. Retrieved from https://ideas.repec.org/a/mof/journl/ppr16_04_04.html

Masbukhin, F. A. A., Wathi, A. F. D., Suciana, D., Sausan, I., & Basyari, A. (2024). Assessing the Work Performance of Vocational High School Teachers in Gunung Kidul: A Survey. JMKSP (Jurnal Manajemen, Kepemimpinan, Dan Supervisi Pendidikan), 9(1), 747–761. https://doi.org/10.31851/jmksp.v9i1.15002

Mhlanga, D. (2020). Industry 4.0 in finance: the impact of artificial intelligence (ai) on digital financial inclusion. International Journal of Financial Studies, 8(3), 1–14. https://doi.org/10.3390/ijfs8030045

Mulyatun, S., Utama, H., & Mustopa, A. (2021). Pendekatan Natural Language Processing Pada Aplikasi Sistem Informasi Universitas Amikom Yogyakarta. Jurnal of Information System Management, 2(1), 12–17. Retrieved from https://jurnal.amikom.ac.id/index.php/joism/article/view/404

Murni, H. N. C. (2024). Educational environment management in the perspective of climate change in indonesia. Jurnal Penelitian Pendidikan IPA, 10(7), 3697–3705. https://doi.org/10.29303/jppipa.v10i7.7305

Puspitasari, A., Paradhita, A. N., Tineka, Y. W., Sulistyowati, V., Noriska, N. K. S., & others. (2024). Natural Language Processing (NLP) Technology for Chatbot Website. Jurnal Penelitian Pendidikan IPA, 10(SpecialIssue), 319–324. https://doi.org/10.29303/jppipa.v10iSpecialIssue.8241

Radhian, D. (2019). Pembangunan Aplikasi Chatbot Sebagai Media Pencarian Informasi Dalam Bidang Peternakan [Thesis: Program Studi Teknik Informatika Komputer Indonesia]. Retrieved from https://elibrary.unikom.ac.id/id/eprint/901/

Sihombing, D. O. (2022). Implementasi Natural Language Processing (NLP) dan Algoritma Cosine Similarity dalam Penilaian Ujian Esai Otomatis. Jurnal Sistem Komputer Dan Informatika (JSON), 4(2), 396. https://doi.org/10.30865/json.v4i2.5374

Stone, M., Aravopoulou, E., Ekinci, Y., Evans, G., Hobbs, M., Labib, A., Laughlin, P., Machtynger, J., & Machtynger, L. (2020). Artificial intelligence (AI) in strategic marketing decision-making: a research agenda. The Bottom Line, 33(2), 183–200. https://doi.org/10.1108/BL-03-2020-0022

Sugiono, S. (2021). Pemanfaatan Chatbot Pada Masa Pandemi COVID-19: Kajian Fenomena Society 5.0. Jurnal Penelitian Komunikasi Dan Pembangunan, 22(2), 133–148. Retrieved from https://shorturl.asia/pC0Zc

Susilowati, R. (2023). Partnership strategy of course and training institutions in guaranteing the quality of education with the world of work industry: a review. Jurnal Penelitian Pendidikan IPA, 9(12), 1316–1322. https://doi.org/10.29303/jppipa.v9i12.6020

Sutrasna, Y. (2023). Manajemen Sumber Daya Manusia: Disrupsi Teknologi Dan Kesenjangan Generasi. CV Jejak Publisher.

Author Biographies

Ratih Komala Dewi, IAIN Curup

Citra Puspa Permata, IAIN Curup

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