Analisis Sistem Antrian dengan Simulasi di Puskesmas Cebongan Kota Salatiga

Puput Retno Muninggar, L. Linawati, H. A. Parhusip
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引用次数: 2

Abstract

Tujuan dari penelitian ini adalah untuk mendapatkan model sistem antrian, mengetahui karakteristik sistem antrian, dan mendapatkan  hasil analisis simulasi pada sistem antrian di Puskesmas Cebongan Kota Salatiga. Pengumpulan data dilakukan dengan metode observasi langsung pada bagian Pendaftaran, bagian Cek Tekanan Darah dan bagian Periksa di Poliklinik Umum, dan bagian Pengambilan Obat. Hasil penelitian diperoleh masing-masing model antrian di bagian Pendaftaran, bagian Cek Tekanan Darah, dan bagian Pengambilan Obat adalah (G/G/1) : (FIFO/∞/∞), dimana waktu antar kedatangan dan waktu pelayanan berdistribusi general, jumlah server 1, disiplin antrian FIFO, kapasitas sistem dan kapasitas kedatangan yang tidak terbatas. Model antrian di bagian Periksa yaitu (G/G/2) : (FIFO/∞/∞), yaitu waktu antar kedatangan dan waktu pelayanan berdistribusi general, jumlah server 2, disiplin antrian FIFO, kapasitas sistem dan kapasitas kedatangan yang tidak terbatas. Kesesuaian hasil simulasi setiap pelayanan sudah mendekati kondisi nyatanya, namun pada bagian Cek Tekanan Darah dan Pengambilan Obat terdapat beberapa karakteristik yang belum sesuai dengan kondisi nyata. Hasil simulasi rata-rata jumlah pasien dalam antrian dan rata-rata waktu pasien dalam antrian pada bagian Cek Tekanan Darah dan bagian Pengambilan Obat lebih besar dari kondisi nyata. [The purpose of this study are to obtain a queuing system model, find out the characteristics of the queuing system, and obtain the results of simulation analysis on the queuing system in Cebongan Health Center, Salatiga City. Data collection is done by direct observation method in the Registration section, the Blood Pressure Check section and the Check section in the General Polyclinic, and the Drug Collection section. The results of the study were obtained by each queue model in the Registration section, the Blood Pressure Check section, and the Drug Extraction section is (G/G/1) : (FIFO/∞/∞), where the time of arrival and service time are generally distributed, the number of servers 1, FIFO queue discipline, unlimited system capacity and arrival capacity. The queue model in the Check section is (G/G/2) : (FIFO/∞/∞), which is the time between arrival and general distribution service time, number of servers 2, FIFO queue discipline, unlimited system capacity and arrival capacity. The suitability of the simulation results for each service is close to the actual conditions, but in the Checking Blood Pressure and Drug Taking section there are several characteristics that are not in accordance with the real conditions. The simulation results of the average number of patients in the queue and the average time of patients in the queue at the Blood Pressure Check and Drug Extraction section are greater than the real conditions.]
分析系统排队与模拟在salathree镇Puskesmas的顶部
本研究的目的是获得序列系统的模型,找出序列系统的特征,并获得Salatiga Cebongan中心对序列系统的仿真分析结果。在登记、血压检查和综合临床检查部分以及药物服用部分使用直接观察方法进行数据收集。研究结果来自注册部分、血压检查部分和药物服用部分的每个序列模型为(G/G/1):(FIFO/∞/∞),其中总配送服务的到达时间和到达时间之间的时间、服务器数量1、FIFO序列规则、系统容量和无限制到达容量。控制部分的队列模型(G/G/2):(FIFO/∞/∞),即总配送服务到达和到达之间的时间、服务器数量2、FIFO队列规则、系统容量和无限到达容量。每个服务的模拟结果的兼容性正在接近其实际情况,但在血压检查和药物摄入部分存在一些与实际情况不兼容的特征。在血压检查和药物服用时,模拟排队的平均患者人数和排队的平均病人时间的结果大于实际情况。[本研究的目的是获得排队系统模型,找出排队系统的特征,并获得萨拉蒂加市Cebongan卫生中心排队系统的模拟分析结果药物收集部分。注册部分、血压检查部分和药物提取部分的每个队列模型获得的研究结果为(G/G/1):(FIFO/∞/∞),其中到达时间和服务时间一般分布,服务器数量为1,FIFO队列规则,系统容量和到达容量不限。Check部分的队列模型为(G/G/2):(FIFO/∞/∞),即从到达到一般配送服务时间的时间、服务器数量2、FIFO队列规则、系统容量和到达容量不受限制。模拟结果对每种服务的适用性都接近实际情况,但在检查血压和服药部分,有几个特征与实际情况不符。血压检查和药物提取部分的平均排队人数和平均排队时间的模拟结果大于实际情况。]
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