Evaluation on Container Products in East Nilam Terminal, Tanjung Perak Port

https://doi.org/10.22146/jcef.24614

Haris Zonakis Timor(1*)

(1) Ministry of Transportation
(*) Corresponding Author

Abstract


Development of a container terminal is needed due to a change in the region, cargo handling, ship technology, and changes in quantity demand. Performance indicators of container terminal container is needed to assess the streamlined of container terminals' operational process in serving the transportation of goods and development activities in the future. The analysis of performance indicator in container terminal will have an impact on improving the current services and future. Therefore, there should be a study to measure the performance indicator in ports or container terminals, especially in the Multipurpose Terminal East Nilam (TMNT) as an object of research. Performance of container terminal as a system with many variables influence can be analyzed with the forecasting method and related theory of applicable equations as well as the application of the model scenarios. Forecasting methods are used to determineTMNT for short-term conditions (2020), medium term (2030), and long-term (2040). The results of the data analysis for the research activities of the secondary data obtained from PT. IPC III branch of Tanjung Perak in 2013, obtained the performance TMNT including BOR (performance dock) 51% and YOR (yard performance)31%. The analysis shows that in 2040, needs a dock length of about TMNT 1,254 meters by nine moorings from existing conditions along the 320 meters with two moorings. The length of East Nilam pier that is not in the revitalization is 540 meters. The development of infrastructure is only possible along the pier 860 meters with six moorings. While the CY area needs about 5 acres from existing condition, which is around 3.8 acres. BOR value and YOR projection reach up to 161% and 145%. This evidence means that the TMNT with existing conditions cannot be used again in 2040. The application of C scenario model by adding 860 meters of dock length with six moorings, will add capacity of the dock up to600,000 TEUs, and elimination of not operating time is capable to lowering the value of the BOR become 41% and YOR become 69%.

Keywords


performance of container terminal, performance indicator, BOR, YOR, forecasting method

Full Text:

PDF


References

Arsyad, L., 1994. Peramalan Bisnis [Bussiness Forcecasting]. Yogyakarta: BPFE.

Directorate General of Sea Transportation, 2011. Decision Letter No.UM.002/38/18/DJPL-11 on Port Service and Operational Performance Standard, Jakarta: Directorate General of Sea Transportation.

Indonesian Port Company III, 2013. Kinerja Operasional Terminal Multipurpose Nilam Timur [Operational Performance of Nilam Timur Multipurpose Terminal]. Surabaya: Indonesian Port Company III.

Jinca, M. & Yamin, 2011. Transportasi Laut Indonesia Analisis Sistem & Studi Kasus [Case Study and Analytical System of Sea Transportation in Indonesia]. Surabaya: Brilian Internasional.

Kamadibrata, S., 2002. Perencanaan Pelabuhan [Port Design]. Surabaya: ITS.

Makridakis, S., 1988. Metode dan Aplikasi Peramalan [Method and Application of Forecsting]. Yogyakarta: Erlangga.

Suranto, 2004. Manajemen Operasional Angkutan Laut dan Kepelabuhanan serta Prosedur Impor Barang [Operational Management of Sea Transportation, Port, and Import Procedure]. Jakarta: PT. Gramedia Pustaka Utama.

Timor, H. Z., 2014. Analisis Kinerja Terminal Multipurpose Nilam Timur Tanjung Perak dari Aspek Produksi Peti Kemas [Performance Analysis of East Nilam in Tanjuk Perak Port from Container Products Aspect], Yogyakarta: Universitas Gadjah Mada.

Triatmodjo, B., 2003. Port. Yogyakarta: Beta Offset.

Triatmodjo, B., 2010. Port Design. Yogyakarta: Beta Offset.

Yuwono, N., 2009. Transportasi Air [Water Transportation], Yogyakarta: Magister of System and Transportation Engineering, Department of Civil and Environmental Engineering UGM.



DOI: https://doi.org/10.22146/jcef.24614

Article Metrics

Abstract views : 2162 | views : 3397

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 The Author(s)


The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
Web Analytics JCEF Stats