Keterlambatan Operasional Kapal Penumpang dan Implikasinya terhadap Standar Pelayanan: Studi pada KM. Sinabung dan KM. Nggapulu di Pelabuhan Murhum
DOI:
https://doi.org/10.55681/armada.v4i2.1925Keywords:
Keterlambatan, Kedatangan, Keberangkatan, Faktor penyebab keterlambatanAbstract
Studi ini bertujuan untuk mengetahui rata-rata tingkat keterlambatan waktu kedatangan dan keberangkatan KM. Sinabung dan KM. Nggapulu di Pelabuhan Murhum, Kota Baubau, Sulawesi Tenggara. Data yang diolah adalah data kuantitatif estimasi waktu kedatangan dengan waktu riil kapal tiba, kemudian estimasi waktu keberangkatan dengan waktu riil kapal berangkat. Hasil penelitian, rata-rata keterlambatan pada KM. Sinabung untuk waktu tiba sebesar 2 jam 13 menit dan waktu berangkat sebesar 2 jam 53 menit. Untuk KM. Nggapulu rata-rata keterlambatan waktu tiba sebesar 1 jam 8 menit dan waktu keberangkatannya sebesar 1 jam 53 menit. Standar Pelayanan Penumpang Angkutan Laut untuk toleransi keterlambatan sebesar 10 persen, maka KM. Sinabung melebihi batas toleransi, sedangkan KM. Nggapulu masih dalam batas toleransi. Sejumlah masalah utama sebagai penyebab keterlambatan yang memiliki pengaruh kuat adalah kurangnya jumlah petugas pelabuhan, proses pemeriksaan keamanan pada peralatan rusak yang memakan waktu, dan cuaca buruk yang membuat proses debarkasi-embarkasi kerap molor hingga tidak efisien.
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Aly, S. H., Pangemanan, S., Ningrat, A., Adisasmita, S. A., & Hustim, M. (2025). Strategizing Green Ports for a Sustainable Maritime Future: The Case Study of Makassar Port. Engineering, Technology & Applied Science Research, 15(3), 22334–22341. https://doi.org/10.48084/etasr.10392
Amin, C., Runtunuwu, P. C. H., Mulyati, H., Anggraini, E., & Kusumastanto, T. (2025). The Role of Maritime Logistics in the Local Economy Development in Island Regions of East Indonesia. International Journal of Transportation and Logistics Research, 1(1). https://doi.org/10.53941/ijtlr.2025.100005
Arif Fuddin Usman, St. Retno Ayuningtias, Andi Rustan, Febrian James, & Mutmainna Rachman. (2024). Strategi Mengurangi Masalah Keterlambatan Waktu Tiba dan Berangkat KM Umsini dan KM Dobonsolo di Pelabuhan Soekarno-Hatta Makassar. Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan, 2(2), 229–238. https://doi.org/10.61132/globe.v2i2.573
Aritonang, F. N. T., Arkady, J. C., Torindatu, L. A. R., & Silalahi, V. A. J. M. (2025). Indonesia’s Position as a Maritime Axis in the Global Logistics Chain. JIPOWER : Journal of Intellectual Power, 2(1), 110–123. https://doi.org/10.63786/jipower.v2i1.38
Cassaluna, V., Arifin, Moh. Z., & Sari, R. H. (2024). Departure Delay of a Semi-Container Passenger Ship: A Case Study in KM Nggapulu. Dinamika Bahari, 5(2), 9–18. https://doi.org/10.46484/db.v5i2.813
Erwan Khanissuma, Ulfi Pristiana, & Esti Hari Prastiwi. (2025). Analyzing the Operational Performance of Ro-Ro Terminals Using Vessel and Vehicle Queue Time Indicators: A Case Study at Tanjung Perak Port, Surabaya. Global Economics: International Journal of Economic, Social and Development Sciences, 2(2), 84–96. https://doi.org/10.70062/globaleconomics.v2i2.285
Jacobs, M. E. D., & Morell, J. A. (2020). Method for Using Rubric Ratings on Fishbone Diagrams to Compare Case Studies. Journal of MultiDisciplinary Evaluation, 16(34). https://doi.org/https://doi.org/10.56645/jmde.v16i34.581
Kastian, M. A., Pakonglean, R., Ningrat, A., & Syahrir, M. (2025). Identifying Critical Factors Contributing to Export Logistics Disruptions: A 6M Fishbone Analysis of Freight Forwarder Operations in Seaborne Shipping at PT. Q Logs Indonesia. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(4), 4154–4163. https://doi.org/10.31004/riggs.v4i4.3938
Mazibuko, D. F., Mutombo, K., & Kuroshi, L. (2024). An evaluation of the relationship between ship turnaround time and key port performance indicators: a case study of a Southern African port. WMU Journal of Maritime Affairs, 23(4), 499–524. https://doi.org/10.1007/s13437-024-00330-z
Ningrat, A., Tahir, A., Rusnaedi, Reskyani, & Muslihati. (2024). Optimizing Container Crane Performance: Enhancing Loading and Unloading Productivity at PT. Kaltim Kariangau Terminal. Indonesian Journal of Maritime Technology, 2(2). https://doi.org/10.35718/ismatech.v2i2.1264
Russo, F., Pedà, G., & Musolino, G. (2024). Attributes influencing port times of container ships. WMU Journal of Maritime Affairs, 23(3), 375–392. https://doi.org/10.1007/s13437-024-00336-7
Schmitt, J., Tighazoui, A., Hajej, Z., & Rose, B. (2025). Passengers rescheduling to minimise check-in time and conveyor belt degradation. International Journal of Production Research, 63(20), 7405–7426. https://doi.org/10.1080/00207543.2025.2497956
Simanjuntak, R., Sibarani, M., Cahyadi, T., Sihombing, D. W., Bernadtua, M., & Yuherlina, R. (2025). Prediction of Ship Time in Port Using Machine Learning Algorithm. In International Journal of Marine Engineering Innovation and Research (Vol. 10, Number 2).
Singh, S., Dwivedi, A., & Pratap, S. (2023). Sustainable Maritime Freight Transportation: Current Status and Future Directions. Sustainability, 15(8), 6996. https://doi.org/10.3390/su15086996
Van Der Aalst, W. M. P., & Hee, K. (2000). Workflow Management: Models, Methods, and Systems. https://consensus.app/papers/workflow-management-models-methods-and-systems-aalst-hee/546e6581b1395756a63305a19f3f3070/
Xiao, G., Wang, Y., Wu, R., Li, J., & Cai, Z. (2024). Sustainable Maritime Transport: A Review of Intelligent Shipping Technology and Green Port Construction Applications. In Journal of Marine Science and Engineering (Vol. 12, Number 10). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/jmse12101728
Yan, R., Chu, Z., Wu, L., & Wang, S. (2024). Predicting vessel service time: A data-driven approach. Advanced Engineering Informatics, 62, 102718. https://doi.org/10.1016/j.aei.2024.102718
Yusri, A. R., & Immawan, T. (2025). Optimizing Logistics Operations: Identifying and Mitigating Risks through FMEA and Poka Yoke. International Journal of Current Science Research and Review, 08(01). https://doi.org/10.47191/ijcsrr/V8-i1-54
Zhong, H., Lin, Y., Yip, T. L., Cai, W., & Gu, Y. (2020). A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China. Ocean Engineering, 216, 107859. https://doi.org/10.1016/j.oceaneng.2020.107859
Undang-Undang No. 17 Tahun 2008 tentang Pelayaran
Undang-undang PM 37 Tahun 2015 Tentang Standar Pelayanan Penumpang Angkutan Laut.
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