Smart Plantation Berbasis Artificial Intelligence: Transformasi SDM Perkebunan Kelapa Sawit Menuju Sistem Berkelanjutan, Unggul, dan Adaptif

Authors

  • Suhela Putri Nasution Program Studi Budidaya Perkebunan, Fakultas Vokasi, Institut Teknologi Sawit Indonesia, Medan Estate, Sumatera Utara, 20226, Indonesia
  • Abdurrozzaq Hasibuan Program Studi Teknik Industri, Fakultas Teknik, Universitas Islam Sumatera Utara, Kota Medan, Sumatera Utara, 20217, Indonesia
  • Junaidi Program Studi Budidaya Perkebunan, Fakultas Vokasi, Institut Teknologi Sawit Indonesia, Medan Estate, Sumatera Utara, 20226, Indonesia

DOI:

https://doi.org/10.54387/semnasbun.v1i1.210

Keywords:

Artificial Intelligence, Smart Plantation, Pengembangan SDM, Kompetensi Digital, Kinerja Berkelanjutan

Abstract

Transformasi digital menjadi kebutuhan strategis industri perkebunan kelapa sawit dalam meningkatkan produktivitas, daya saing, dan keberlanjutan. Penerapan Artificial Intelligence (AI) melalui konsep Smart Plantation menawarkan peluang untuk meningkatkan efektivitas pengelolaan perkebunan, namun keberhasilannya memerlukan kesiapan teknologi yang didukung pengembangan dan kompetensi digital sumber daya manusia (SDM). Penelitian ini bertujuan menganalisis mekanisme transformasi SDM berbasis AI dalam meningkatkan kinerja perkebunan berkelanjutan. Penelitian menggunakan pendekatan kuantitatif dengan desain survei eksplanatori terhadap 250 responden yang terlibat dalam aktivitas operasional dan manajerial perkebunan kelapa sawit. Model penelitian mengintegrasikan Artificial Intelligence Readiness, Human Resource Development, Digital Competence, Adaptive Work Performance, dan Sustainable Plantation Performance. Data dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan SmartPLS 4. Hasil penelitian menunjukkan bahwa seluruh hubungan struktural yang diuji berpengaruh positif dan signifikan. Pengaruh terkuat ditemukan pada hubungan AI terhadap pengembangan SDM (β = 0,598), diikuti kompetensi digital terhadap kinerja adaptif (β = 0,517), pengembangan SDM terhadap kompetensi digital (β = 0,480), dan kinerja adaptif terhadap kinerja perkebunan berkelanjutan (β = 0,470). Model menjelaskan 39,8% variasi Sustainable Plantation Performance. Temuan menegaskan bahwa keberhasilan Smart Plantation tidak hanya ditentukan oleh kesiapan AI, tetapi juga oleh pengembangan SDM, kompetensi digital, dan kemampuan kerja adaptif. Integrasi teknologi dan kapabilitas manusia menjadi fondasi strategis transformasi perkebunan kelapa sawit yang unggul, adaptif, dan berkelanjutan.

References

Abdurrozzaq, et, al. (2024). Model for the Development of Human Resources Quality in Foreign Companies. Science and Technology Research Symposium 2022, 030007. https://doi.org/10.1063/5.0232748

Abdurrozzaq Hasibuan, el., al. (2026). MANAJEMEN PERUSAHAAN INDUSTRI MODERN; Strategi, Sistem, Human Resource Development danArtificial Intelligence di Era Industri 4.0 dan Society 5.0. Padang: Bashaed.

Bpdp, G. R., & Sawit, K. (2026). Panduan Teknis Tata Cara Pengajuan Proposal Penelitian dan Pengembangan Kelapa Sawit, Kakao dan Kelapa (Issue 16). Badan Pengelola Dana Perkebunan (BPDP).

Cao, G., Duan, Y., & Edwards, J. S. (2025). Information & Management Organizational culture , digital transformation , and product innovation. Information & Management, 62(4), 104135. https://doi.org/10.1016/j.im.2025.104135

Dedi Rianto Rahadi. (2023). Introduction to Partial Least Squares Structural Equation Modeling (PLS-SEM) (Issue August). Penerbit Lentara Ilmu Madani. https://doi.org/10.1007/978-3-030-80519-7

Djunaedi. (2025). Digital Transformation and the Strategic Role of Human Resources in Improving Organizational Performance. Majority Science Journal (MSJ), 3(1), 123–134. https://doi.org/10.61942/msj.v3i1.275

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2022). Partial Least Squares Structural Equation Modeling ( PLS-SEM ) Using R (Issue July). Classroom Companion: Business. https://doi.org/10.1007/978-3-030-80519-7

Hartini, et. a. (2021). MSDM (Digitalisasi Human Resources). CV. Media Sains Indonesia.

Hasibuan, A., & Nasution, S. P. (2026). Manajemen Risiko Industri: Konsep, Metode, dan Implementasi pada Sistem Teknik Industri, Perkebunan, dan Pertanian. GEMILANG PRESS INDONESIA.

Insani, C. N., Riyanto, E., Muhammad, A., Mansyur, I. H., Budiwati, S. D., Tjondronegoro, N. N., & Trisnawan, A. B. (2026). AI & Data Science : Teori, Model, dan Praktik untuk Inovasi Digital. Lingkar Edukasi Indonesia.

Joseph F. Hair Jr, et., at. (2021). Partial Least Squares Structural Equation Modeling ( PLS-SEM ) Using R. Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-80519-7

M. Adenuddin Alwy. (2022). Manajemen Sumber Daya Manusia di Era Digital Melalui Lensa Manajer Sumber Daya Manusia Generasi Berikutnya. Sibatik Journal, 1(10), 2265–2276. https://books.google.com/books?hl=en&lr=&id=gJOlEAAAQBAJ&oi=fnd&pg=PP1&dq=peran+teknologi+dalam+rekrutmen+dan+seleksi+karyawan&ots=TFsODQt042&sig=_-ziYxP4ySNHMjgwozSOH2AAfdU

Macpherson, J., Voglhuber-slavinsky, A., Olbrisch, M., Schöbel, P., & Dönitz, E. (2022). Future agricultural systems and the role of digitalization for achieving sustainability goals . A review. Agronomy for Sustainable Development, 42(70). https://doi.org/10.1007/s13593-022-00792-6

Miraz, M. H., & Annamalah, S. (2025). Integrating PLS-SEM and NVivo in Mixed-Methods Educational Research : A Comprehensive Evaluation of Quantitative and Qualitative Analytical Tools. Educational Process International Journal, 19 (1), 1–34. https://doi.org/10.22521/edupij.2025.19.531

Nugroho, A., & Wulandhari, O. (2025). Digital transformation in human resource management practices : a systematic meta-analysis of the industrial era 4 . 0. Enrichment : Journal of Management, 15(5). https://doi.org/10.18845/te.v18i3.7289

Passalacqua, M., Pellerin, R., Magnani, F., Doyon-poulin, P., Del-aguila, L., Boasen, J., Léger, P., Passalacqua, M., Pellerin, R., Magnani, F., & Doyon-, P. (2025). Human-Centred AI in Industry 5.0 : a Systematic Review. International Journal of Production Research, 63(7), 2638–2669. https://doi.org/10.1080/00207543.2024.2406021

Proceedings, C. (2023). Rediscovering Local Roots and Interactions in Management (Issues 29-30 June 2023). The Conference Proceedings are published online on https://www.sijmsima.it © 2023. https://doi.org/10.7433/SRECP.LP.2023.01

Ramadian, A., Nurlinda, D. Z., & Ramadhina, N. (2025). Digital transformation in HR Planning : Adaptation strategies and challenges in the industrial revolution 5 . 0 era. Jurnal Akuntansi Dan Manajemen, 22(01), 39–52. https://doi.org/10.36406/jam.v22i1.137

Ringle, C. M., & Sarstedt, M. (2021). Partial Least Squares Structural Equation Modeling ( PLS-SEM ) Using R. Springer Nature Switzerland AG.

Shin, J., Mollah, A., & Choi, J. (2026). Sustainability and Organizational Performance in South Korea : The Effect of Digital Leadership on Digital Culture and Employees ’ Digital Capabilities. MDPI – Sustainability. https://doi.org/10.3390/su15032027

Ștefan, Simona Cătălina, at., et. (2024). Implications of Artificial Intelligence on Organizational Agility: A PLS-SEM and PLS-POS Approach. Amfiteatru Economic (AE), April. https://doi.org/10.24818/EA/2024/66/403

Subhaktiyasa, P. G. (2024). PLS-SEM for Multivariate Analysis : A Practical Guide to Educational Research Using Smart-PLS. Journal of Education and Learning Innovation, 4(3). https://doi.org/10.35877/454RI.eduline2861

Sucianti, R., Ambalele, E., & Tellu, A. H. (2023). Human Resource Management Transformation in the Digital Age : Recent Trends and Implications. International Journal of Applied Research and Sustainable Sciences (IJARSS), 1(3), 239–258. https://doi.org/10.59890/ijarss.v1i3.902

Terbaru, G., & Presisi, P. (2023). Pemanfaatan Model Neural Network dalam Generasi Baru Pertanian Presisi di Perkebunan Kelapa Sawit. Warta Pusat Penelitian Kelapa Sawit, 28(1), 39–54. https://doi.org/10.22302/iopri.war.warta.v28i1.97

Valtonen, A., Saunila, M., Ukko, J., Treves, L., & Ritala, P. (2025). AI and employee wellbeing in the workplace : An empirical study. Journal of Business Research, 199(July), 115584. https://doi.org/10.1016/j.jbusres.2025.115584

Vong, K. C., Udomvitid, K., Ueki, Y., Intalar, N., Pongsathornwiwat, A., Pannakkong, W., Komolavanij, S., & Jeenanunta, C. (2025). Strategic Human Resource Development for Industry 4.0 Readiness : A Sustainable Transformation Framework for Emerging Economies. Transformation Framework for Emerging Economies. Sustainability, 17(6988.), 1–35. https://doi.org/10.3390/su17156988

Algarni, M. A., Ali, M., Albort-Morant, G., Leal-Rodríguez, A. L., Latan, H., Ali, I., & Ullah, S. (2022). Make green, live clean! Linking adaptive capability and environmental behavior with financial performance through corporate sustainability performance. Journal of Cleaner Production, 346, 131156. https://doi.org/10.1016/j.jclepro.2022.131156

Badan Pusat Statistik. (2025). Statistik tanaman perkebunan tahunan Indonesia 2024 (Kelapa sawit, kopi, kakao, karet, teh, dan komoditas perkebunan unggulan). Badan Pusat Statistik.

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Published

2026-09-28

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