Integrasi Analisis Bibliometrik Scopus–VOSviewer dan Simulasi Diskrit (ProModel) dalam Evaluasi Kinerja Distribusi Drone Last-Mile
DOI:
https://doi.org/10.31004/jutin.v9i1.55995Keywords:
drone delivery, last-mile logistics, bibliometric analysis, discrete simulationAbstract
The results of the co-occurrence, co-authorship, and citation analyses indicate that existing studies predominantly emphasize technical development, artificial intelligence integration, communication systems, and sustainability aspects, while quantitative operational performance modeling remains limited. Based on the identified research gaps, a discrete event simulation model was developed in promodel to represent operational processes, including order reception, routing, loading, flight operations, battery charging or swapping, and return cycles. Several policy scenarios were tested by varying fleet size, charging station capacity, and demand patterns. Simulation results demonstrate that system performance is significantly influenced by charging infrastructure capacity, resource allocation, and scheduling configuration, directly affecting delivery time, throughput, and drone utilization. The integration of bibliometric mapping and simulation modeling provides a comprehensive decision-support framework that bridges conceptual research trends with practical operational optimization in last-mile drone logistics.References
Idris, R., & Lestari, E. (2017). Pengaruh Pengorganisasian Terhadap Peningkatan Mutu Pendidikan Di Sd Inpres BanA Bibliometric Analysis of Empirical Studies on Drone Delivery Drone Teslimatı İle İlgili Yapılan Ampirik Çalışmaların Bibliyometrik Analizi. (2022). 118–133.
Andrienko, N., Andrienko, G., & Zissis, D. (2026). Techniques for interactive visual examination of vessel performance. Big Data Research, 43(April 2025), 100575. https://doi.org/10.1016/j.bdr.2025.100575
Avşar, İ. İ. (2025). Delivery By Drone : A Bibliometric Analysis. 0–3.
Bao, D., Yan, Y., & Li, Y. (2025). The Future of Last-Mile Delivery : Lifecycle Environmental and Economic Impacts of Drone-Truck Parallel Systems.
Bibliometrik, A., Kadar, P., & Monoksida, K. (2023). Analisis Bibliometrik Pengukuran Kadar Karbon Monoksida ( CO ) Menggunakan Drone pada Rentang Tahun 2011-2021. 6(7), 895–906.
Ghelichi, Z., & Gentili, M. (2026). A simulation-based performance evaluation model for decision support on drone location and delivery scheduling. 3(February), 304–327. https://doi.org/10.1108/JHLSCM-04-2023-0036
Ke, M., Kang, X., Zhang, Z., Wang, L., & Wang, G. (2026). LAT-BirdDrone : A de dicate d dataset for high-precision classification of low-altitude small target trajectories enhanced by hybrid neural networks. 64. https://doi.org/10.1016/j.dib.2025.112333
Kosak, O. (2026). Let ’ s do the swarm flight again : unleashing the potential of PROTEASE 2 . 0 for drone formation flight. https://doi.org/10.1007/s10009-025-00834-w
Koteczki, R., & Luk, B. (2023). Sustainability Aspects of Drone-Assisted Last-Mile Delivery Systems — A Discrete Event Simulation Approach.
Lee, D., Maeng, S. J., Ozdemir, O., Pandian, M. B., & Guvenc, I. (2026). in ISM Bands : Uplink Interference Asymmetry Analysis and HARQ Design. IEEE Open Journal of the Communications Society, 7(November 2025), 386–406. https://doi.org/10.1109/OJCOMS.2025.3649430
Lepin, F., Velastin, S. A., León, R., García-herrero, J., Rojas-martínez, G., & Espinosa-oviedo, J. E. (2026). UTUAV : A Drone Dataset for Urban Traffic Analysis. 1–24.
Mahmud, M., & Supriyadi, A. A. (2026). Peta Pengetahuan Penelitian Deforestasi dan Bencana di Indonesia : Analisis Bibliometrik dan Implikasi Transformasi Digital. 10(1), 55–65.
Mohamed, A., & Mohamed, M. (2025). Unmanned Aerial Vehicles in Last-Mile Parcel Delivery : A State-of-the-Art Review. 5–7.
Molloy, D., George, R., & Brophy, T. I. M. (2026). G-MIND : Galway Multimodal Infrastructure Node Dataset for Intelligent. IEEE Open Journal of Vehicular Technology, 7(491), 491–509. https://doi.org/10.1109/OJVT.2025.3648251
Purba, H., & Hutabarat, F. (2025). Amkop Management Accounting Review ( AMAR ) Last Mile Delivery : Research Trends Using Bibliometric Analysis. 5(1), 445–461. https://doi.org/10.37531/amar.v5i1.2689
Ravikumar, A., Vardhan, H., Shankar, M. U., & Pandey, R. (2026). Digital and AI ‑ based evaluation of ANFO and SME explosives in surface coal mining : fragmentation , powder factor , ground vibrations , sustainability implications and safety outcomes. 8, 1–23.
Santoso, P. N., Poerwanto, E., Pinandhita, L. R., & Zabidi, Y. (2026). Bibliometric Analysis of UAV / Drone Maintenance Publications. 0741, 47–58. https://doi.org/10.28989/jumantara.v5i1.2898
Tang, X., Jia, C., & Qu, P. (2026). EAPO : A Multi-Strategy-Enhanced Artificial Protozoa Optimizer and Its Application to 3D UAV Path Planning. 1–49.
Wulandari, D. A., & Ibrahim, D. A. (2025). IoT-Based Smart Farming Research Mapping : A Bibliometric Study Using VoSviewer. 4(3).
Yasin, F. M., Aliah, F., Abdullah, P., Nasir, N., & Pusppanathan, J. (2024). INTERNATIONAL JOURNAL OF EDUCATION , PSYCHOLOGY DRONE TECHNOLOGY IN EDUCATION : A BIBLIOMETRIC ANALYSIS. 9(55), 576–591. https://doi.org/10.35631/IJEPC.955038
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ok Rangga Ahyar, Putri Parinduri, Rahmat Fadhillah, Syarifuddin Solin, Khairul Nizan Aulia

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

