Pelatihan Pemanfaatan Artificial Intelligence secara Etis dan Bertanggung Jawab dalam Penyusunan Makalah Akademik Mahasiswa Farmasi

Authors

  • Faizul Bayani ID Universitas Qamarul Huda Badaruddin
  • Lalu Jupriadi ID Universitas Qamarul Huda Badaruddin
  • Muhali Muhali ID Universitas Pendidikan Mandalika
  • Saiful Prayogi ID Universitas Pendidikan Mandalika
  • Hulyadi Hulyadi ID Universitas Pendidikan Mandalika
  • Suryati Suryati ID Universitas Pendidikan Mandalika
  • Ratna Azizah Mashami ID Universitas Pendidikan Mandalika

DOI:

https://doi.org/10.36312/linov.v11i2.5791

Keywords:

academic integrity, academic paper, artificial intelligence, community service, pharmacy students

Abstract

Pemanfaatan artificial intelligence (AI) dalam pendidikan tinggi semakin meningkat, termasuk dalam penyusunan makalah akademik mahasiswa. Namun, mahasiswa Farmasi masih menghadapi kendala dalam mencari referensi ilmiah yang valid, menyusun latar belakang, membuat sitasi, melakukan parafrase, dan menggunakan AI secara etis. Kegiatan pengabdian kepada masyarakat ini bertujuan mendampingi mahasiswa S1 dan D3 Farmasi semester 4 dalam menggunakan AI sebagai alat bantu penyusunan makalah pada mata kuliah Fitokimia 1 dan Fitokimia. Peserta terdiri atas [isi jumlah peserta] mahasiswa yang dibagi ke dalam tujuh kelompok. Metode kegiatan meliputi persiapan, pelatihan literasi dan etika AI, praktik prompt engineering, pencarian dan validasi referensi ilmiah, penyusunan makalah, presentasi kelompok, dan evaluasi produk akhir menggunakan rubrik deskriptif. Materi pelatihan mencakup batasan penggunaan AI, integritas akademik, validasi referensi melalui scite.ai atau aplikasi sejenis, parafrase, sitasi, dan struktur makalah. Hasil evaluasi menunjukkan bahwa tujuh kelompok menghasilkan makalah pada topik poliketida, terpenoid, peptida, fenol, alkaloid, flavonoid, dan glikosida. Rata-rata skor akhir adalah 83,4 pada kategori baik. Capaian terkuat terdapat pada kesesuaian topik, sistematika, dan kedalaman pembahasan, sedangkan validasi referensi, konsistensi sitasi, dokumentasi penggunaan AI, dan penyuntingan bahasa masih perlu diperkuat. Kegiatan ini menunjukkan bahwa pelatihan AI berbasis etika berpotensi membantu mahasiswa menyusun makalah Fitokimia secara lebih sistematis dan mendorong kesadaran awal terhadap validasi sumber serta integritas akademik.

Training on the Ethical and Responsible Use of Artificial Intelligence in Pharmacy Students’ Academic Paper Writing

 Abstract

The use of artificial intelligence (AI) in higher education is increasing, including in students’ academic writing. However, pharmacy students still face challenges in finding valid scientific references, developing background sections, applying citations, paraphrasing, and using AI ethically. This community service program aimed to guide fourth-semester undergraduate and diploma pharmacy students in using AI as a supporting tool for preparing academic papers in Phytochemistry 1 and Phytochemistry courses. The participants consisted of [insert number] students divided into seven groups. The program included preparation, AI literacy and ethics training, prompt engineering practice, scientific reference searching and validation, guided paper writing, group presentations, and final product evaluation using a descriptive rubric. The training materials covered acceptable AI use, academic integrity, reference validation using scite.ai or similar tools, paraphrasing, citation practices, and academic paper structure. The evaluation results showed that the seven groups produced papers on polyketides, terpenoids, peptides, phenols, alkaloids, flavonoids, and glycosides. The average final score was 83.4, categorized as good. The strongest aspects were topic relevance, paper organization, and depth of discussion, whereas reference validation, citation consistency, AI-use documentation, and academic editing still required improvement. This program indicates that ethics-based AI training can help students prepare more systematic Phytochemistry papers and foster early awareness of source validation and academic integrity.

Downloads

Download data is not yet available.

References

Abdullahi, F. I., Nesengani, T. V., & Maree, C. (2026). Exploring undergraduate nursing students’ experiences of evidence searching skills during nursing training: A focus group study in Tshwane, South Africa. International Journal of Africa Nursing Sciences, 24. https://doi.org/10.1016/j.ijans.2026.101027

Acosta-Enriquez, B. G., Arbulú Ballesteros, M. A., Arbulu Perez Vargas, C. G., Orellana Ulloa, M. N., Gutiérrez Ulloa, C. R., Pizarro Romero, J. M., Gutiérrez Jaramillo, N. D., Cuenca Orellana, H. U., Ayala Anzoátegui, D. X., & López Roca, C. (2024). Knowledge, attitudes, and perceived ethics regarding the use of ChatGPT among generation Z university students. International Journal for Educational Integrity, 20(1). https://doi.org/10.1007/s40979-024-00157-4

Adamakis, M., & Rachiotis, T. (2025). Artificial intelligence in higher education: A state-of-the-art overview of pedagogical integrity, artificial intelligence literacy, and policy integration. Encyclopedia, 5(4). https://doi.org/10.3390/encyclopedia5040180

Alduais, A., Qadhi, S., Chaaban, Y., & Khraisheh, M. (2025). Utilizing generative AI responsibly and ethically for research purposes in higher education: A policy analysis. Serials Review, 51(3–4), 120–170. https://doi.org/10.1080/00987913.2025.2581429

Alghalbie, F., Elnaem, M. H., & McCarron, P. A. (2026). Perspectives on artificial intelligence use in pharmacy education in Northern Ireland: A qualitative study based on the unified theory of acceptance and use of technology. Currents in Pharmacy Teaching and Learning, 18(1). https://doi.org/10.1016/j.cptl.2025.102490

Alghasab, M. (2025). Insights into EFL students’ perceptions of the “ChatGPT essentials” training course for language learning. Education Sciences, 15(9). https://doi.org/10.3390/educsci15091138

Alhur, A. A., Khlaif, Z. N., Hamamra, B., & Hussein, E. (2025). Paradox of AI in higher education: Qualitative inquiry into AI dependency among educators in Palestine. JMIR Medical Education, 11. https://doi.org/10.2196/74947

Alkaabi, A., Abdallah, A., Alblooshi, S., Alomari, F., & Alneaimi, S. (2025). ChatGPT in higher education: Opportunities, challenges, and required competencies in the absence of guiding policies. Journal of Education and E-Learning Research, 12(2), 153–164. https://doi.org/10.20448/jeelr.v12i2.6746

Almufarreh, A., Ahmad, A., Arshad, M., Onn, C. W., & Elechi, R. (2025). Ethical implications of ChatGPT and other large language models in academia. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1615761

Alshamy, A., Al-Harthi, A. S. A., & Abdullah, S. (2025). Perceptions of generative AI tools in higher education: Insights from students and academics at Sultan Qaboos University. Education Sciences, 15(4). https://doi.org/10.3390/educsci15040501

Al-Zubaidi, K., Jaafari, M., & Touzani, F. Z. (2024). Impact of ChatGPT on academic writing at Moroccan universities. Arab World English Journal, 2024-April(Special Issue on ChatGPT), 4–25. https://doi.org/10.24093/awej/ChatGPT.1

Amos, J. (2024). Ethical and effortful: Workshopping human and generative AI academic writing collaborations. Journal of Learning Development in Higher Education, 2024(32). https://doi.org/10.47408/jldhe.vi32.1475

Amoush, K. H., & Alhosban, A. A. (2025). Mastering EFL writing with ChatGPT: A systematic review of benefits, challenges, and best practices. Theory and Practice in Language Studies, 15(8), 2576–2583. https://doi.org/10.17507/tpls.1508.14

Apriani, E., Hamidah Daulay, S., Aprilia, F., Gafur Marzuki, A., Warsah, I., & Supardan, D. (2025). A mixed-method study on the effectiveness of using ChatGPT in academic writing and students’ perceived experiences. Journal of Language and Education, 11(1), 26–45. https://doi.org/10.17323/jle.2025.17913

Argudo, J. B. (2025). The school library as a formative agent in media and information literacy among secondary education students: An instrumental case study in a secondary school in Barcelona. BiD, 55, 1–16. https://doi.org/10.1344/BID2025.55.08

Asamoah, P., Zokpe, D., Boateng, R., Marfo, J. S., Boateng, S. L., Asamoah, D., Muntaka, A. S., & Manso, J. F. (2024). Domain knowledge, ethical acumen, and query capabilities (DEQ): A framework for generative AI use in education and knowledge work. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2439651

Awadallah Alkouk, W., & Khlaif, Z. N. (2024). AI-resistant assessments in higher education: Practical insights from faculty training workshops. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1499495

Barus, O. P., Hidayanto, A. N., Handri, E. Y., Sensuse, D. I., & Yaiprasert, C. (2025). Shaping generative AI governance in higher education: Insights from student perception. International Journal of Educational Research Open, 8. https://doi.org/10.1016/j.ijedro.2025.100452

Bickle, E., Allen, S., & Mayer, M. (2023). Academic integrity and the role of learning development. Journal of Learning Development in Higher Education, 2023(29). https://doi.org/10.47408/jldhe.vi29.1122

Bordalejo, B., Pafumi, D., Onuh, F., Khalid, A. K. M. I., Pearce, M. S., & O’Donnell, D. P. (2025). “Scarlet Cloak and the Forest Adventure”: A preliminary study of the impact of AI on commonly used writing tools. International Journal of Educational Technology in Higher Education, 22(1). https://doi.org/10.1186/s41239-025-00505-5

Carbonel, H., Belardi, A., Ross, J., & Jullien, J.-M. (2025). Integrity and motivation in remote assessment. Online Learning Journal, 29(2), 25–46. https://doi.org/10.24059/olj.v29i2.4309

Cardona, F. V., García, V. C., & Valencia, D. P. (2025). ChatGPT in higher education: A cross-sectional study of student usage, ethical perceptions, and implications for academic integrity. Revista de Bioetica y Derecho, 65, 101–119. https://doi.org/10.1344/rbd2025.65.49416

Chanpradit, T. (2025). Generative artificial intelligence in academic writing in higher education: A systematic review. Edelweiss Applied Science and Technology, 9(4), 889–906. https://doi.org/10.55214/25768484.v9i4.6128

Chen, J., & Alibakhshi, G. (2026). AI-powered applications’ effects on English language learners’ cognitive, metacognitive, and resource management strategies, and language achievement. Journal of Computer Assisted Learning, 42(1). https://doi.org/10.1002/jcal.70171

Colbran, S., Jha, M., & Schiavone, C. (2026). Understanding student perspectives on generative AI chatbots: A human-centred mixed-methods study in higher education. International Journal of Educational Technology in Higher Education, 23(1). https://doi.org/10.1186/s41239-026-00605-w

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Curtis, G. J., Arness, D. C., Baird, M., Price, C., Thomson, S., Tremayne, K., & White, A. W. (2026). Results from two decades of five-yearly plagiarism surveys: New insights into prevalence, understanding, attitudes, knowing vs naïve plagiarism, and generative artificial intelligence (GenAI). International Journal for Educational Integrity, 22(1). https://doi.org/10.1007/s40979-026-00215-z

Dang, H. A. T., & Nguyen, V. T. T. (2025). Linking AI literacy, self-efficacy, attitudes, and achievement: A mixed-methods study on the moderating role of AI usage and study year. Journal of Information Technology Education: Research, 24, 1–26. https://doi.org/10.28945/5689

Đerić, E., Frank, D., & Vuković, D. (2025). Exploring the ethical implications of using generative AI tools in higher education. Informatics, 12(2). https://doi.org/10.3390/informatics12020036

Dodson, T. M., Thompson-Hairston, K., & Reed, J. M. (2025). Nursing students’ AI literacy and ethical understanding of AI in nursing education. Teaching and Learning in Nursing, 20(4), 390–394. https://doi.org/10.1016/j.teln.2025.07.004

Dogaru, M., Pisică, O., Popa, C.-U., Răgman, A.-A., & Tololoi, I.-R. (2025). The perceived impact of artificial intelligence on academic learning. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1611183

Eusebio-Hermira, S., Cuberos-Vicente, R., & Doquin de Saint-Preux, A. (2026). Academic assessment with artificial intelligence: Comparison between teachers and ChatGPT in master’s theses. Revista de Investigacion En Educacion, 24(2), 309–326. https://doi.org/10.35869/reined.v24i2.6942

Fitzek, S., & Bârgăoanu, A. (2025). Introducing large language models in communication and public relations education: A mixed-methods pilot study. International Journal of Artificial Intelligence in Education, 35(4), 2478–2494. https://doi.org/10.1007/s40593-025-00477-7

Galan-Cubillo, E., & Saez-Soro, E. (2025). Enhancing academic conferences with AI: Defining the role of the human AI editor. IAES International Journal of Artificial Intelligence, 14(6), 4484–4493. https://doi.org/10.11591/ijai.v14.i6.pp4484-4493

Geroimenko, V. (2026). Communication skills for generative AI: The essential guide for humans. Springer International Publishing. https://doi.org/10.1007/978-3-032-21689-2

Giavina Bianchi, M., D’Adario, A., Giavina Bianchi, P., & Machado, B. S. (2025). Three versions of an atopic dermatitis case report written by humans, artificial intelligence, or both: Identification of authorship and preferences. Journal of Allergy and Clinical Immunology: Global, 4(1). https://doi.org/10.1016/j.jacig.2024.100373

Godoy, D. (2026). AI mediated scaffolding for second language academic writing in EFL composition classrooms. Discover Education, 5(1). https://doi.org/10.1007/s44217-026-01386-0

González-Cervera, A., Burgueño-López, J., & Urosa-Sanz, B. (2026). Ethical use of artificial intelligence tools by future teachers. Canadian Journal of Learning and Technology, 52(1). https://doi.org/10.21432/cjlt29045

Hammond, K. M., Lucas, P., Hassouna, A., & Brown, S. (2023). A wolf in sheep’s clothing? Critical discourse analysis of five online automated paraphrasing sites. Journal of University Teaching and Learning Practice, 20(7). https://doi.org/10.53761/1.20.7.08

Hasib, M., & Islam, Md. S. (2025). How university students in Bangladesh engage with ChatGPT: A qualitative study. PLOS ONE, 20(9). https://doi.org/10.1371/journal.pone.0333089

Henchiri, M., & Al Aamri, A. (2025). Investigation of GPT-based tools in preventing plagiarism and enhancing research skills for university students with technical English language challenges: An experimental approach to promoting ethical awareness. International Journal of Information and Education Technology, 15(10), 2115–2127. https://doi.org/10.18178/ijiet.2025.15.10.2410

Henukh, A., Irvani, A. I., Setiawan, A., Seme, E. M., & Raja, N. R. L. (2025). AI and transformative learning in higher education: A systematic literature review and bibliometric insights. Journal of Teaching and Learning, 19(4), 233–261. https://doi.org/10.22329/jtl.v19i4.10096

Hyde-Vaamonde, C., & Keller, A. (2025). Testing the frontier: Generative AI in legal education and beyond. Law, Technology and Humans, 7(3), 52–61. https://doi.org/10.5204/lthj.4037

Ifelebuegu, A. O. (2023). Rethinking online assessment strategies: Authenticity versus AI chatbot intervention. Journal of Applied Learning and Teaching, 6(2), 385–392. https://doi.org/10.37074/jalt.2023.6.2.2

Iswari, N. M. S., Wijaya, I. N. Y. A., & Yuniari, N. P. W. (2025). Analyzing student sentiments and insights on generative AI for independent learning in universities. Journal of Applied Data Sciences, 7(1), 786–801. https://doi.org/10.47738/jads.v7i1.1083

Jaramillo, J. J., Chiappe, A., & Delgado, F. S. (2025). From struggle to mastery: AI-powered writing skills in ESL education. Applied Sciences, 15(14). https://doi.org/10.3390/app15148079

Mortlock, R., & Lucas, C. (2024). Generative artificial intelligence (Gen-AI) in pharmacy education: Utilization and implications for academic integrity: A scoping review. Exploratory Research in Clinical and Social Pharmacy, 15. https://doi.org/10.1016/j.rcsop.2024.100481

Munusamy, S., Rao, S., & Rajagopalan, V. (2026). Leveraging case-based learning exercises in pharmacology courses to promote AI readiness among student pharmacists. American Journal of Pharmaceutical Education, 90(3). https://doi.org/10.1016/j.ajpe.2026.101943

Nendauni, L. (2026). Integrating artificial intelligence (AI) literacy into writing centre pedagogy: A reflective practitioner’s perspective. SOTL in the South, 9(2), 146–156. https://doi.org/10.36615/6BA27644

Ngoveni, M. (2025). Bridging the AI knowledge gap: The urgent need for AI literacy and institutional support. International Journal of Technologies in Learning, 32(2), 83–100. https://doi.org/10.18848/2327-0144/CGP/v32i02/83-100

Downloads

Published

2026-06-26

Issue

Section

Articles

How to Cite

Bayani, F., Jupriadi, L., Muhali, M., Prayogi, S., Hulyadi, H., Suryati, S., & Mashami, R. A. (2026). Pelatihan Pemanfaatan Artificial Intelligence secara Etis dan Bertanggung Jawab dalam Penyusunan Makalah Akademik Mahasiswa Farmasi. Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat, 11(2), 823-838. https://doi.org/10.36312/linov.v11i2.5791