0000000000214297
AUTHOR
Dirarini Sudarwadi
Analisis Sistem Antrian Sepeda Motor di SPBU 83.983.02 Sowi Kabupaten Manokwari
We often encounter queuing problems in everyday life, for example queues at bank tellers, queues for toll road entrances, and others. Queues can arise because of the higher number of arrivals than the serving facilities. It is important to know the performance of the service system in order to minimize the occurrence of long queues. The purpose of this study was to analyze the optimal number of routes and to analyze the optimal service time at Sowi SPBU, Manokwari Regency. This type of research is quantitative research, with an associative approach. Using data processing in the form of numbers. The population in this study were all motorcycle customers who came to the gas station to refill …
ANALISIS PENGENDALIAN PERSEDIAAN DENGAN METODE EOQ USAHA STAN KAYU SINAR SOWI KABUPATEN MANOKWARI
Controlling and determining of inventory is an important thing in order to produce efficiently and able to make smooth sales. The purpose of this research is to know an analysis of controlling raw material inventoriesin the manufacture of brick by using Economic Order Quantity (EOQ) method to increase efficiency of the total inventory costin Stan Kayu Sinar Sowi. The raw material of brick is rough sand and cements.
 Type of case study research through a qualitative approach by means of interviews, observation and documentation. Case study on a wood booth business in Manokwari, West Papua.
 The results of the study that the purchase of raw materials made by the company is considere…
PENERAPAN METODE SINGLE MOVING AVERAGE DAN EXSPONENTIAL SMOOTHING PADA USAHA ASRIE MODESTA
This study aims to (1) analyze the number of demands for batik products in the second period of 2018. (2) To analyze the most appropriate forecasting method. (3) To analyze the forecasting of the first period in 2019 using the selected forecasting method.
 This reseach uses primary data and secondary data with data collection techniques using interviews, observation, and documentation. The analysis used is Single Moving Averages and Exsponential Smoothing. 
 The results of research in forecasting demand for batik products in 2019 with the Single Moving Average method are 3,936 units with Mean Absolute Deviation (MAD) of 632.5 units and Mean Square Error (MSE) of 693,718 units. An…