Analysis of Supply and Demand of Coal Terminal in Sumatera
Christino Boyke Surya Permana
1
, Hasan Iqbal Nur
1
and Syaugi Alif Fadhila
1
1
Department of Marine Transportation Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Keywords: Coal, Supply, Demand, Port Facilities, Capacity
Abstract: Indonesia is one of the largest coal producing countries in the world, with total production of 461 million
tons in 2017. Based on Ministry of Energy and Mineral Resources there are three regions in Indonesia that
have the largest coal reserves, namely South Kalimantan, West Kalimantan and South Sumatera. The
Sumatera region holds a national coal reserve of 45%, but only 10% of the total reserves that have been
managed. The demand of coal from Sumatera increased 17.40% in average during the past five years with
the majority of use for power plant and exports. As a result of an increase in coal demand, the flow of
cargoes at each coal terminal in Sumatera increasing, in 2017 total coal terminal troughput in Sumatera
reach 28.75 million tons. This research based on secondary and primary data analysis of 5 biggest coal
terminal in Sumatera, namely Panjang Port (Lampung), Bengkulu Port (Bengkulu), Jambi Port (Jambi),
Teluk Bayur Port (West Sumatera), Kertapati Coal terminal (South Sumatera) and Tarahan Coal terminal
(Lampung). Total coal terminal capacity in Sumatera region is 51,46 million ton / year. Based on the
forecasting of coal demand in 2037 will reach 67.75 million tons, the total capacity of coal terminal in
Sumatera will reach the maximum capacity of 80% in 2025 (41.70 million tons) . Coal terminal operator
need to consider the port development (facilities and cargo handling equipment) to increase port capacity.
1 INTRODUCTION
Indonesia is one of the largest coal producing
countries in the world, with mining points scattered
in various regions and a total production of 461
million tons in 2017. Based on Ministry of Energy
and Mineral Resources data there are three regions
in Indonesia that have the largest coal reserves,
namely South Kalimantan, West Kalimantan and
South Sumatera. The Sumatera region holds a
national coal reserve of 45%, but only 10% of the
total reserves that have been managed (Kementerian
ESDM, 2017). Based on data from the Central
Bureau of Statistics, coal production in 2016
amounted to 27.56 million tons with the majority of
use for power plant and exports (Petromindo, 2016).
The distribution of coal from Sumatera is
generally carried out through public ports and
special ports in this paper reefer as coal terminal,
some of the major public ports that serve coal
loading include Panjang Port in Lampung, Bengkulu
Port in Bengkulu, Jambi Port in Jambi and Telur
Bayur Port in West Sumatra. While the other coal
are loading in special ports managed by coal mining
companies include the Kertapati coal terminal in
South Sumatera and Tarahan coal terminal in
Lampung. The capacity of a port generally depends
on the number of berths available to ship traffic and
cargo handling capacity (Bugaric et.al., 2011).
Coal production and demand will affect the port
sector as a provider of coal handling services.
Development planning should pay attention to the
increasing trend of coal as one of the main
commodities. There are some conditions that will
affect coal production, including coal reserves,
mining business permits and mining technology.
This research aim to analyze the supply and
demand side of coal terminals, the relationship
between production in coal mining in each area of
production mines with port operating capacity based
on historical data and forecasting of future
conditions. This research is expected to provide
recommendations for coal terminals operator to
improve the efficiency of the port by developing
facilities and equipment.
2 LITERATURE REVIEW
Various research related to operations and
determination of the capacity of dry bulk terminals
have been carried out, Work of the ports with its
optimal capacity assumes a prompt accommodation
of vessels with minimal waiting time in the port and
with maximal use of berth facilities. Calculation of