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Majalah Ilmiah UNIKOM

Vol.10 No. 1

74

H a l a m a n

number of elevator runs is interpreted as

the power consumption for that elevator.

The average waiting time is measured in

seconds and the long wait probability is in

percent (%).

The Figure 14 and Figure 15 below show

the traffic profile for down-peak traffic and

up-peak traffic. The simulation results

represented by these evaluation criteria are

shown in Table 4.

Table 3 The Condition of Simulation

Figure 14. Profile for down-peak traffic

Figure 15. Profile for up-peak traffic

Muhammad Aria

Number of floors

15

Number of elevators

3

Elevator capacity

20 man

Simulation time

12:00 – 15:00

Time to open the door

1 seconds

Time to close the door

1 seconds

Time

for

each

passenger to get in

1 seconds

Time the door remains

open

2 seconds

Type-1 Fuzzy

Type-2 Fuzzy

Improvement

(%)

Before lunch

AWT

30.3

26.3

13.3

12:00 – 12:40

PC

48.0

52.8

-10

LWP

7.7

6.1

20.5

After lunch

AWT

36.9

29.5

20

12:40 – 13:20

PC

46.0

52

-13

LWP

12.9

10.3

20

Common time

AWT

32.7

34.9

-6.7

13:20 – 15:00

PC

51

48.6

4.7

LWP

10.2

10.7

-4.7

Total

AWT

33.3

30.2

9.2

12:00 – 15:00

PC

48.3

51.1

-5.8

LWP

10.3

9.0

12.0

Table 4 The Simulation Results