Waiting time and queue length at the pharmacy are very influential for customer satisfaction. A hospital's pharmacy which the object of this study has a long waiting time. The aim of this study is to analyzing and modelling pharmacy queue using simulation method, then simulating a new scenario as an effort to improve the queue system. The improvement scenario was simulated by adding one server at payment locket. The simulation was carried out using empirical and theoretical approaches. The analysis was conducted based on the results of the simulation. Results showed that based on validity test can be concluded that the simulation using empirical and theoretical approach do not differ significantly from the real system. Based on the experiment from improvement scenario it showed that the addition of payment server did not show a significant difference from origin situation, the waiting time only decreased by approximately 30 minutes. Journal of Engineering Design and Technology 14considered for improvement at outpatient pharmacy [8] [9][10]. METHODSThis research was conducted using simulation method with theoretical distribution, at both the real system simulation and the proposed improvement scenario simulation. The object of this study was the queuing system at one of hospital's pharmacies in Yogyakarta. Observations were made at the queue system from customers coming to the system until they going home with their drugs. The arrival time of each costumers, waiting time between each process, and service time for each process was recorded to be processed at next step. Observation was done from 7 am-11 am and 14 pm-16 pm. Statistical testing was performed on recorded data to make sure that the data set are enough and there is no outliers.

Batik is one of the Indonesian heritage culture that needs to be preserved, especially for traditional batik using wax to form batik pattern and resist dyeing color. One way to draw batik on fabric is by using a stamp. Nowadays, most of traditional batiks are still produced manually with limited capacity. On other hand, the number of batik craftsman is decreased due to lack of regeneration of young craftsman. This study aimed to develop software for designing stamped batik, along with its production steps, and information used to execute the design on batik machine with moving module. The software required a batik stamp design, size of fabric (maximum 12 m), pattern of stamping, and color. Digital image of the batik design and its colour will be generate along with the G-Code for executing the design on batik machine with moving module. Batik machine with moving module consists of 13 meters working table and a bridge runs along the table by carrying stamp and wax module. For each step of the bridge, stamp module will stamp wax on fabric along its width. These movements are controlled by programmable computer with G-Code from batik design system. Batik design system and the machine have been tested and is able to give information about size of fabric used, kind of dye used, and G-Code for controlling the machine.

No abstract

<p><em>PT. Aneka Adhilogam Karya adalah perusahaan pengecoran logam yang mengutamakan kualitas produk yang dihasilkannya. Salah satu produk yang dihasilkannya adalah sambungan pipa. Produksi produk tersebut adalah berdasarkan pesanan konsumen (make to order). Namun dalam memenuhi jumlah pesanan konsumen, perusahaan tersebut sering terkendala oleh jumlah produksi yang berkurang akibat produk cacat. Oleh karena itu, penelitian ini bertujuan untuk menentukan besarnya persediaan pengaman (safety stock), agar perusahaan dapat memenuhi jumlah pesanan konsumen, dan service level-nya mencapai 95%. Metode yang digunakan pada penelitian ini adalah 1) analisis pengendalian kualitas produk dengan Peta Kendali p, 2) peramalan jumlah produk cacat dengan menggunakan simulasi Monte Carlo, dan 3) penentuan jumlah safety stock. Hasil yang didapatkan adalah 1) jumlah produk cacat sambungan pipa masih dalam batas kendali, 2) peramalan jumlah produk cacat menggunakan simulasi Monte Carlo memiliki error sebesar 2,57, dan 3) jumlah safety stock yang disarankan untuk mengantisipasi adanya produk cacat adalah 6 unit.</em></p>