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Rina Filia Sari
Department of Mathematics, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Mathematics

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Journal : Journal of Mathematics and Scientific Computing With Applications

 1 
FORECASTING THE NUMBER OF COVID-19 SUFFERERS IN NORTH SUMATRA USING THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV CHAIN METHOD Anggi Ramadany Siregar; Rina Filia Sari; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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Abstract

Corona virus is a virus that is currently endemic throughout the world, including in Indonesia, one of which is in North Sumatra Province, because this virus has claimed many victims. North Sumatra Province in positive cases of Covid-19 is ranked 13th out of 34 provinces in Indonesia. The government's anticipation in handling Covid-19 cases is by forecasting the number of positive Covid-19 cases. One of the methods used to forecast Covid-19 sufferers is the Automatic Clustering Fuzzy Time Series Markov Chain method. The Fuzzy Time Series Markov Chain method is used to resolve the deviation value from a forecasted value, while Automatic Clustering is used to determine the length of the interval by grouping numerical data. Then the error calculation will be carried out using the Mean Absolute Percentage Error (MAPE) to determine the level of accuracy of the forecasting model that has been made. The parameter used in this study is the number of Covid-19 sufferers. The results of this study from data on the number of Covid-19 sufferers have a MAPE value of 4.53%. The MAPE value which is less than 10% means that the forecasting of this study has very good criteria. So the Automatic Clustering Fuzzy Time Series Markov Chain method is very good to be applied in forecasting the number of Covid-19 sufferers in North Sumatra Province.
APPLICATION OF LEAN SIX-SIGMA METHOD AND DEMERIT CHART TO MINIMIZE DEFECTIVE PRODUCT Ayu Novia; Rina Filia Sari; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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Abstract

uality control is a form of inspection using certain techniques or methods in decision-making to get the quality standards that have been determined. One type of quality control is using the method of Lean Six Sigma to identify and eliminate waste in activities that are not worth the added value through a continuous increase to reach the level of Six Sigma, then use the demerit control chart as a monitor of the production process. The purpose of the study was to find out how to minimize defects in the 220ml Aqua cup mineral water packaging with the method of Lean Six Sigma and Demerit control chart. With the analysis that has been done, it is known that in the 220ml Aqua Cup product the DPMO value for defects in the 220ml AQUA Cup production process is 22912.83, which is the level of sigma is 3.43 and the process capabilities value is 0.77087 which mean that it still needs a process control for minimizing the product defects.
IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA Ria Widiya Pratiwi; Rina Filia Sari; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

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Abstract

During the Covid-19 Pandemic economic activities in North Sumatra experienced problems because many people had been laid off and lost their jobs which made them worried about reaching the staple of rice. So that the government feels the need to provide rice assistance which is directly channeled through BULOG. With this direct social assistance to the community, it could lead to instability in the rice supply and expenditure stocks until at least February 2021. So it is necessary to analyze the availability of rice at Perum BULOG so that the rice stock supply at Perum BULOG remains stable during the Covid-19 Pandemic. With fuzzy logic, Sugeno will present uncertainty, uncertainty, inaccuracy which will then produce a model of a system that is able to estimate the amount of rice supplies during the Covid-19 pandemic. In January, in the calculation of realization from North Sumatra BULOG, the ending inventory was 42,941 tonnes, while the yield from the Sugeno fuzzy method was 34,833.06 tonnes. This shows that there is a mismatch between the amount of income and expenditure of rice.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Rina Filia Sari; Rima Aprilia
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

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Abstract

UD. Ai Kampung Bilah Tofu Factory, Labuhan Batu Regency is an industry that is engaged in the processing of Tofu. The purpose of this study is to determine the amount of tofu production from forecasting the number of requests for the previous period. Problem with UD. The aim of the Kampung Bilah Tofu Factory is that it has not implemented rules in controlling the supply of raw materials. In the production process, there are often obstacles, namely the use of raw materials and orders that are not appropriate. Optimum planning and inventory of material requirements is carried out using the Material Requirement Planning method. MRP is a method of planning and scheduling better inventory on a product that is produced. In this study the Material Requirement Planning method, the lot sizing technique used is Lot For Lot, Economic Order Quantity, Priode Order Quantity. Based on the calculation results, Material Requirement Planning using the lot sizing technique, namely Lot For Lot, produces a total cost of Rp. 2,640,000 minimum orders for raw materials.
Co-Authors Anggi Ramadany Siregar Ayu Novia Damayanti Ria Widiya Pratiwi Rima Aprilia Rina Widyasari Rina Widyasari