Waiting is a boring thing for some people, let. Keep in mind that the output of this application program is average value or expected value, so that the results will not always be appropriate to the reality. SIMULASI ANTRIAN PELAYANAN NASABAH BANK MENGGUNAKAN METODE HYPEREXPONENTIAL. Because of this essay case study is Bank system queuing, the queue discipline used is FIFO (First In First Out). Vacation is average length of servers stop time per incident for awhile. Multiserver shows that number of searched servers more than one. C notation shows number of searched servers, which number of searched servers are 5. Second M notation shows average of customer’s served number per hour value ( ), where is distributed by exponential distribution. First M notation shows average of customers’ arrival number per hour value ( ), where is distributed by poisson distribution. This application program is developed based on theories of multiserver queue involves vacation procedure.
So, customers can find out how long they will be in queue and they can schedule their next activities. The information is average of customer’s waiting length time in queue. This application program is designed with the purpose of providing information to customer. In this paper we create the application program of Bank multisever queueing system with vacation. Kata kunci:, aplikasi antrian, antrian vacation, antrian multiserver.ĪBSTRACT. Akan tetapi dengan menggunakan prosedur vacation, maka keakuratan hasilnya dapat terjamin. Keluaran dari program aplikasi ini berupa nilai rata-rata atau nilai ekspektasi, di mana nilainya tidak akan selalu tepat dengan realitanya. Dikarenakan studi kasus penelitian ini adalah sistem antrian Bank, maka sistem antrian yang digunakan adalah FIFO ( First In First Out). Vacation adalah rata-rata waktu lama server berhenti per kejadian dalam melayani untuk sementara waktu.
Pada penelitian ini, jumlah server yang diteliti sebanyak 5 buah. Notasi C menunjukkan jumlah server yang diteliti. Notasi M yang kedua menunjukkan nilai rata-rata jumlah customer yang dilayani per jam ( ), di mana berdistribusi eksponensial. Notasi M yang pertama menunjukkan nilai rata-rata jumlah kedatangan customer per jam ( ), di mana berdistribusi poisson. Program aplikasi ini dikembangkan berdasarkan teori-teori antrian multiserver dengan melibatkan prosedur vacation. Program aplikasi ini dirancang dengan tujuan untuk memberikan informasi kepada nasabah/ customer tentang rata-rata waktu lama customer menunggu dalam antrian. Penelitian ini membahas mengenai perancangan program aplikasi antrian multiserver pada Bank dengan melibatkan waktu vacation. Although at the time of the study, there were queues that occurred during busy hours, namely at 08.00-09.00.ABSTRAK. Because the average level of consumers waiting in the queue (Lq) is 0.38802 or 0 consumers. 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. The data obtained by researchers is in the form of how many consumers are queuing per hour. Researchers took data by observing for 5 days for 7 hours. The service system used by SPBU 34-13907 in East Jakarta is First Come First Served (FCFS), namely first-come, first-served customers. The type of queuing system model at SPBU 34-13907 East Jakarta is Multi Channel Single-Phase (M / M / S). The research method used by researchers is the observation method. The research strategy used is descriptive. 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.
ANTRIAN SPBU LICENSE
Zoraya Juanita, Zoraya and Maliki, FarmansjahĪNALISIS ANTRIAN SPBU 34-13907 KOTA JAKARTA TIMUR.Īvailable under License Creative Commons Attribution Non-commercial.
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