ANALISIS PERENCANAAN PERSEDIAAN BAHAN BAKU MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY DENGAN PERTIMBANGAN STOCKOUT COST (Studi Kasus Pada PT. Multi Logam Presisi)

The demand for erratic products makes the company must control raw material inventory. This study aims to minimize the total costs associated with supplying raw materials by determining the appropriate inventory control methods for the company. Research using the probabilistic inventory method because there are costs associated with shortages (stockout cost), if there is a shortage of inventory the company will do a back order (back order) to meet existing demand.The analysis shows that the calculation of probabilistic inventory models provides lower costs compared to the company method. The optimum number of orders with the EOQ method is 25,95 kg. The company experienced a stock out of 38,06%. The company resolved the problem by paying a fee of Rp 32.869,70. Inventory planning using the EOQ method can save Rp 42.213,67

Peranan E-Service Quality dan E-Marketing Mix sebagai Penentu Kepuasan dan Loyalitas Pelanggan di Industri E-Commerce Indonesia

The role of E-S-Qual scale on e-service quality variables can be used to measure the quality of services provided by Tokopedia toward customer and the e-marketing mix variabel can be used by organizational management so that they can win the competition in digital sales through e-commerce. Therefore, this research was conducted to analyze the role of e-service quality and e-marketing mix that can create customer satisfied and loyal. The sample was selected based on non-probability sampling technique and 373 people were selected as respondents. Data from filling out the questionnaire was processed using the structural model equation method with AMOS 26 software.The results of the study stated that the direct effect of e-service quality was positive and significant on e-satisfaction and e-loyalty. The direct influence of the e-marketing mix variable which is positive and significant is only obtained on its relationship with the e-satisfaction variable. The results of the indirect effect analysis are only proven on the relationship between e-service quality and e-loyalty through the e-satisfaction variabl

Pentingnya P-IRT Dan Identifikasi Kandungan Air Di Panti Asuhan Santa Maria Pasang Surut

The Santa Maria Orphanage seeks to be financially independent by making a food business. The business has been running for two years. The problem is that the manager does not yet understand the importance of Home Industry Food (P-IRT) and the unavailability of clean water at the Santa Maria Orphanage. The main sources of water used in the Orphanage are two rainwater and well water. Well water is only used for bathing and washing purposes because it is thought to have high acid levels. The activities carried out were intended to motivate business owners both the Business Manager of Santa Maria Orphanage (SanMa Business) and their two partners to seek P-IRT certificates and identify the water content used at the Santa Maria Orphanage. Based on the results of the activity feedback it is known that there is an increased understanding of the PIRT. While the results of laboratory analysis show that there are several parameters that exceed the permissible levels, namely smell, taste, color, turbidity and some metal elements

Comparing Probabilistic Economic Order Quantity and Periodic Order Quantity Model Performance Under Lumpy Demand Environment

Improper planning of inventory will affect the factory operating costs, building costs, the cost of loss, and the cost of product defects due to being stored for too long which will eventually become a loss. This research discusses the processing industry which is experiencing lumpy demand. In carrying out the production process, the company has never made plans for future demand, resulting in a waste of message costs due to repeated orders of raw materials ordered to suppliers. This paper contributes to overcoming this issue by simulating future demand by using the Material Requirement Planning (MRP) method with a probabilistic Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) model. The demand in the coming period is determined using the Autoregressive Integrated Moving Average (ARIMA) method, and an aggregate plan is carried out to determine the regular cost of raw material production and optimal subcontracting. The final analysis states that the calculation of MRP on the selected items using POQ produces the lowest cost for planning S45C-F, SGT-R, and SKD11-R, while SLD-R uses the probabilistic EOQ method