| dc.description.abstract | PT. BULOG is a company that distributes and stores national rice stocks.
Inside there is a stripping process during the rice distribution process. Demolition
activity at PT. BULOG has not fulfilled the available working hours, meaning that
8 hours of working hours is not enough to complete the unloading activity at
BULOG's rice warehouse. This is caused by the determination of the number of
workers in the field with a non-scientific approach from the field coordinator.
Actually, this method results in additional hours of overtime for demolition
activities which can last until 21.00-22.00. Fuzzy logic is an appropriate way to
map an input space into an output space. Fuzzy logic can be applied in various
fields of life including dismantling activities in warehouses. There are 3 fuzzy input
variables, namely payload, number of workers, and displacement, while the fuzzy
output variables are unloading time. This study aims to predict the time of
demolition as a basis for planning the daily number of workers in the demolition
process. The number of demolition activities in January will be used as the
formation of a fuzzy set of 105 historical data. Fuzzy logic uses 3 inference systems
namely Mamdani, Sugeno and Tsukamoto. Determination of the selected fuzzy logic
is determined by two parameters, namely Mean Square Error (MSE) and Mean
Absolute Percentage Error (MAPE). Sugeno's logic became the chosen fuzzy logic
with an MSE value of 33.930 and a MAPE of 8.873%. The results of the scheduling
planning show that the time spent outside the demolition activity is 180 minutes,
while the demolition activity with Sugeno's fuzzy logic is 291 minutes out of 300
minutes, so the idle time is 9 minutes. Rated idle time 3%. So with Sugeno's fuzzy
logic approach theoretically it can solve scheduling problems and can also
determine the most optimal number of workers available, namely as many as 20
workers. | en_US |
