ANALISIS ANTRIAN SPBU 34-13907 KOTA JAKARTA TIMUR
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Institusion
Sekolah Tinggi Ilmu Ekonomi Indonesia Jakarta
Author
ZORAYA JUANITA, ZORAYA
Subject
Manajemen Operasional
Datestamp
2020-11-09 07:40:51
Abstract :
ABSTRACT The purpose of this study was to analyze the performance of the queuing system services and facilities for refueling at SPBU 34-13907, East Jakarta City. The research strategy used is descriptive. The research method used by researchers is the observation method. The type of queuing system model at SPBU 34-13907 East Jakarta is Multi Channel Single-Phase (M / M / S). The service system used by SPBU 34-13907 in East Jakarta is First Come First Served (FCFS), namely first-come, first-served customers. Researchers took data by observing for 5 days for 7 hours. The data obtained by researchers is in the form of how many consumers are queuing per hour. The results of research at SPBU 34-13907 East Jakarta City using queuing theory analysis, namely by calculating the Multiple Line Queuing Model is optimal. Because the average level of consumers waiting in the queue (Lq) is 0.38802 or 0 consumers. Although at the time of the study, there were queues that occurred during busy hours, namely at 08.00-09.00. because the level of arrival of consumers at these hours continues to increase every day.
ABSTRACT The purpose of this study was to analyze the performance of the queuing system services and facilities for refueling at SPBU 34-13907, East Jakarta City. The research strategy used is descriptive. The research method used by researchers is the observation method. The type of queuing system model at SPBU 34-13907 East Jakarta is Multi Channel Single-Phase (M / M / S). The service system used by SPBU 34-13907 in East Jakarta is First Come First Served (FCFS), namely first-come, first-served customers. Researchers took data by observing for 5 days for 7 hours. The data obtained by researchers is in the form of how many consumers are queuing per hour. The results of research at SPBU 34-13907 East Jakarta City using queuing theory analysis, namely by calculating the Multiple Line Queuing Model is optimal. Because the average level of consumers waiting in the queue (Lq) is 0.38802 or 0 consumers. Although at the time of the study, there were queues that occurred during busy hours, namely at 08.00-09.00. because the level of arrival of consumers at these hours continues to increase every day.
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