ANALYSIS OF PRODUCTIVITY OF DIGGING TOOLS AND
TRANSPORTATION EQUIPMENT IN STRIPING SOIL LAYERS USING THE SIMPLEX METHOD
Nilam Desiana Nurdin1,
Didit Welly Udjianto2
UPN
Veteran Yogyakarta
nilamdesiana22@gmail.com
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Abstract:
One operation in mining coal is transfer layer cover
(overburden). To increase capacity handling burden, necessary planning needs
equipment, machine mechanical form tool load, And tools capable of transporting
operate optimally depending on the situation And condition in the field.
Demolition layer land cover (overburden) begins with excavation of the front
and transportation to the disposal area with tool mechanical excavator PC 2000
with a capacity of 123 buckets and Komatsu HD 785 dump truck capacity of 603.
Calculations use a tool calculated, the simplex minimization method And are
processed using POM software. On study this obtained results with four
iterations obtained results 7,728 and If compared to
with manual calculations obtained 7.1 then tools needed. In 1 fleet there are 7
HD units for production can be fulfilled.
Keywords: Coal, Tools
mechanical, Simplex method
Corresponding:
Nilam Desiana Nurdin
Email: nilamdesiana22@gmail.com
INTRODUCTION
Indonesia
is a country rich in coal resources, and coal is currently an alternative
energy source (Kholiq, 2015). Coal is an energy source and is an important
mining asset in Indonesia, which will be increasingly sought after in the
utilization of this energy source (Haryana, 2017). Along with the development of global industry at
this time, this has also caused an increase in oil prices worldwide, resulting
in a significant increase in the need for fuel for industrial purposes, which
is increasing in vast quantities. Coal is a non-renewable natural resource,
meaning that if the mining material is used up, it cannot be recovered. Coal
mining, like mining in general, consists of a series of operations which
include the stages of general investigation, exploration, feasibility studies,
construction, mining, processing and refining, transportation, sales and
post-mining; mining activities are very complex and risky business activities
involving high technology, capital intensive and legal regulations by
applicable regulations. (Didik Suyadi, 2013) . Then, in coal mining, there are several types of
soil layers, namely the first layer and the second layer. The first layer is
topsoil and subsoil, the second layer is sand and overburden, and the last
layer is coal. In this case, the overburden is one of the operations carried out
by the contractor to obtain coal. Overburden covers all layers of soil and rock
above and directly covers the excavated layer of valuable material, so it must
be removed first before the valuable material can be excavated. Stripping of
overburden begins with excavation at the front and transportation to the
disposal area using mechanical equipment in the form of a PC 2000 excavator
with a bucket capacity of 123 and tool transport Komatsu HD 785 with a
volume of 603 with a mining area at PT Satria Loud
noise Means This capable create field Work And become source income for public
And the surrounding area.
Linear Programming is a
method of math in allocating source limited power to reach something objective
like maximizing profit And minimizing cost (Anti & Sudrajat,
2021). Linear Programming is applied in problem
economics, industry, military, social and others. Desired results Possible
showed as maximization from some profit, sales And welfare, or minimization on
cost, time And distance. Problem optimization This can
resolved with Linear Programming.
Linear programming is
related to explaining something case in the world as a mathematical model
consisting of A function linear goals with several linear constraints (Astuti
et al., 2013). Linear Programs are part of Special mathematics
applied For finish related issues _ with determination (Aprilyanti et al.,
2018) :
1. Amount
input variables used in something problem.
2. Combination
input variables that must be provided or a combination of outputs that must be
generated.
3. The
amount of output required generated to reach specific goals, to reach
optimization from something problem, for example, To achieve maximum profit or
minimum costs.
In
1947, one expert in math from the United States found a method for solving
linear programming problems with the "simple method" (Alam et al., 2021). Method simplex is Wrong.
One technique solution in the linear program is used for making decisions in
related problems with the allocation of source Power optimally (Susdarwono, 2020). Method simplex is used to
look for the optimal value of the linear program involving lots of constraints
and lots of variables (more from two variables). Invention method This is a
leap giant in research operation And is used as a procedure solution from every
computer program completion problem optimization with method simplex based on
technique elimination (Suryanto et al., 2019). Determination of optimal
solution is carried out by inspecting point extreme one by one with method
iterative calculation
(Shawma & Setyono, 2014). So, the determination of
the optimal solution with simplex is done step by step with iteration.
Iteration -I only depends on iteration previous (i-1) (Aprilyanti et al., 2018).
METHOD
The type of
research used in this research is quantitative. The method
used in a study that is descriptive and explains something circumstances,
conditions, or other things then will pour in form report research. Location PT
Satria Bahan Sarana located in Tanjung Enim, District Mace South, District estuary Enim, South Sumatra with distance ± 168 km Southwest centre
Palembang city. Regional area permission business PT Satria
Bahan Sarana located on
position LS-4o47'30''LS and 103o45'BT – 103o50'BT or line longitude 9,583,200 –
9,593,200 and latitude 360,600 – 367,000 in system coordinates international. Research
data This uses primary data and secondary that will
processed by objective or direct research. Primary data required in the study,
namely the Average Cycle Time of the Tool Load Komatsu PC 2000 digging time,
swing load time, dumping time, swing empty time, Average Tool Cycle Time data
Transport Komatsu HD 785 manoeuvre empty time, loading time, hauling load time,
manoeuvre load time, dumping, hauling empty time while secondary data Bulk data
rain amount data tool And specifications, geological data, and supporting data
others.
RESULTS AND DISCUSSION

Figure 1 Solution Iteration
1

Figure 2 Solution
Iteration 2

Figure
3 Completion of Iteration 3

Figure 4 Solution Iteration 4
If
some of this data is known, then it can be determined how to determine
production efficiency so that production achievements are met by reducing
production costs efficiently by calculating equipment requirements (match
factor) using the simplex method.
Problem-Solving
Production target = 1,250,000 Bcm/month (effective days 30
days). So the targets that must be achieved:
Dailv
target =![]()
=![]()
Hourly
=![]()

=
2,032.517 Bcm/hour
To achieve production according to the specified target, the
tools needed in 1 fleet are:

=![]()
The number of dump trucks required in 1 fleet with a
transport distance of 2,900 meters
Problem-Solving With POM Software
X1 = 71.56 (Q.HD)
X2 = 0
X3 = 531,547 (Q. loading digging equipment)
Then, the function x;
1X1 + 1X2 <531,547
7156 + 0 <531,547
This function was entered into the POM software with linear
program calculations using the simplex minimization method from data processing, which was carried out using POM software,
carried out four iterations
and obtained a result of 7.428. When compared with manual calculations, the
value obtained is 7.1, so the tools needed are one fleet
7 HD units are needed to achieve production.
CONCLUSION
In
problem-solving, the production target is 1,250,000 Bcm/month (effective days
30 days ).
In
problem-solving with POM software using a linear program using the simplex
minimization method with four iterations, the result was 7.728. If compared
with manual calculations, it was 7.1, so the tools needed in 1 fleet are 7 HD
units so that production can be met.
REFERENCES
Alam, TB, Megasari, A., Ernawati, E., Amalia, SA, Maulani,
NG, & Mahuda, I. (2021). Optimizing Food Production Profits Using Linear
Programming Via the Simplex Method. Bayesian
Journal: Scientific Journal of Statistics and Econometrics, 1 (2), 190–207.
Anti, AR, & Sudrajat, A. (2021). Optimizing Profits Using
Linear Programming Simplex Method in Taichan Mantoel Umkm. Journal of Management, 13 (2), 188–194.
Aprilyanti, S., Pratiwi, I., & Basuki, M. (2018).
Optimizing the Profits of Baked Kemplang Production Using Linear Programming
Using the Simplex Method. Idec
National Seminar and Conference, 7–8.
Astuti, NED, Linawati, L., & Mahatma, T. (2013). Application of the Linear Goal Programming
Model for Optimizing Production Planning.
Didik Suyadi, S. (2013). Aspects of Criminal Law Consequences of Failure to Fulfill the
Implementation of Royalty Payments to the State Related to Coal Mining Cooperation
Agreements. Islam College of Law.
Haryana, H. (2017). The Merger and Joint Venture Process is
Used to Expand Group Companies in the Coal Mining Sector. Pandecta Research Law Journal, 12 (2), 111–134.
Kholiq, I. (2015). Analysis of the Use of Alternative Energy
Resources as Renewable Energy to Support Fuel Substitution. Journal of Science and Technology, 19 (2), 75–91.
Shawma, NG, & Setyono, JS (2014). Local Values in
Muntilan City Spatial Planning. Journal
of Regional and Urban Development, 10 (1), 83–93.
Suryanto, S., Nugroho, ES, & Putra, RAK (2019). Profit
Optimization Analysis in the Production of Cassava Leaf Chips Using Linear
Programming Using the Simplex Method. Journal
of Management, 11 (2),
226–236.
Susdarwono, ET (2020). Linear Programming Defense Economic
Problems: Graphic Method and Simplex Method. Theorems: Mathematical Theory And Research, 5 (1), 89–104.
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