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surabaya, indonesia
It's currently 1:05 AM here
Joined May 24, 2022
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Arlyn E.
@ayayiin
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surabaya, indonesia
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Data Analyst • Administration Expert • Purchasing
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Experience
Purchasing and Administration Officer
Aug 2023 - Nov 2023 (3 months, 1 day)
- Monitor stock levels and identify purchasing needs.
- Enter order details (e.g. vendors, quantities, prices).
- Prepare reports on purchases, including cost analyses.
- Assist with administrative tasks as needed
Administration Officer, PPIC Staff, Purchasing Staff
Nov 2022 - Jul 2023 (8 months, 2 days)
- Production and man power planning.
- Preparation and analysis of inventory control.
- Calculate inventory needs according to demand, production cycle, and applicable policies.
- Ensure the availability of sufficient raw materials and resources to meet production targets.
- Monitor and analyze inventory levels, identify discrepancies, and take necessary action.
- Calculation of selling price and cost of goods sold.
- Calculating employee KPI assessments.
Administration Officer, PPIC Staff, Purchasing Staff
Oct 2020 - Nov 2022 (2 years, 1 month)
Conducting product research and sourcing new suppliers and vendors.
Sourcing materials, goods, products, and services and negotiating the best or most cost-effective contracts and deals.
Updating and maintaining records of all orders, payments, and received stock.
Preparation and analysis of inventory control.
Ensure the availability of sufficient raw materials and resources to meet production targets.
Calculation of selling price and cost of goods sold.
Calculating employee KPI assessments.
Education
S.Stat
(3 years)
Amd, Stat
(3 years)
Publications
FORECASTING INFLOW AND OUTFLOW MONEY CIRCULATION IN BANK INDONESIA, JEMBER REGION.
Institut Teknologi Sepuluh Nopember Surabaya
In order to determine the policy of the process of money out and money coming in Bank Indonesia, then monitoring the inflow and outflow of currency in Bank Indonesia. It can also serve to optimize the circulation of money in Bank Indonesia branch of Jember. The method used in this research are ARIMA and Time Series Regression. Of both methods is selected the best model based on criteria of goodness model using RMSE.
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