Journal of Mathematics and Scientific Computing With Applications
Journal of Mathematics and Scientific Computing With Applications is a broad-based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. It covers all major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptographic, fuzzy theory with applications, differential equations with applications. Journal features research papers in all branches of mathematics that have some bearing on the application to scientific problems, including areas of actuarial science, mathematical biology, mathematical economics, and finance.
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<![CDATA[APPLICATION OF SIX SIGMA METHOD TO REDUCE DEFECT RATE IN BREAD PRODUCTION ]]>
<![CDATA[Ikhsan Nurrobbil, Damar]]>;
<![CDATA[Roder, Klause]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v5i2.983
<![CDATA[This research discusses the application of the Six Sigma method with the DMAIC approach to reduce the defect rate of bread products at Fadillah Bakery. Through seven days of observation, 248 defective products were found from 2.100 samples with an average Defect Per Million Opportunities (DPMO) of 118.095,2 and asigma level of 2,19. The analysis showed that the factors causing product defects include human error (lack of training and accuracy), non-optimal work methods, and improper roasting machine settings. The proposed improvement measures include increased worker training, scheduling machine maintenance, and stricter supervision. The proposed improvement measures included increased worker training, scheduling machine maintenance, and stricter supervision. The results prove that the implementation of Six Sigma is effective in reducing defect rates, improving product quality, and production process efficiency. Continued implementation is expected to improve Fadillah Bakery's competitiveness and customer satisfaction of Fadillah Bakery.]]>
<![CDATA[Analysis of the Accuracy Level of Using the Monte Carlo Method in Predicting the Number of Dengue Fever Sufferers ]]>
<![CDATA[Nurhabidah, Fauziah]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v5i2.984
<![CDATA[Dengue fever is an infectious disease that continues to be a threat to public health in Indonesia. The increasing number of sufferers every year requires accurate prediction strategies to support effective prevention and control policies. This study aims to analyze the level of accuracy of the Monte Carlo method in predicting the number of dengue fever sufferers in Indonesia, especially in North Sumatra Province. The data used in this research is data on dengue fever cases from 2021 to 2023 obtained from the Central Statistics Agency (BPS) and the Health Service. The prediction process is carried out using Monte Carlo simulation which involves a probability-based random calculation process. The research results show that the Monte Carlo method has a fairly high level of accuracy in predicting patterns of dengue fever cases, with an accuracy value of 3440 (99.41%) compared to other conventional prediction methods. In addition, this method is proven to be flexible in dealing with variations in fluctuating data patterns. It is hoped that this research can contribute to strategic decision making, especially in mitigating dengue fever through more accurate predictions.]]>
<![CDATA[ANALYSIS OF RAW MATERIAL INVENTORY MANAGEMENT USING THE ECONOMIC ORDER QUANTITY (EOQ) METHOD TO DETERMINE PERIODIC ORDER QUANTITY (POQ) AT EMI BAMBANG’S OPAK FACTORY ]]>
<![CDATA[Hanifa Lubis, Nurul]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v5i2.985
<![CDATA[The study aims to analyze the management of raw material inventory at Emi Bambang Opak Factory through the application of an effective method, namely Economic Order Quantity (EOQ) in determining Periodic Order Quantity (POQ). To determine the optimal order quantity, EOQ is used, while POQ is implemented to determine the efficient ordering interval. The results of this study are the determination of the POQ method at the emi bambang opak factory with a cost difference of Rp 30,717,480 for the cost of managing raw materials and ordering raw materials, this can provide solutions in more economical inventory management, to minimize the cost of storing and ordering raw materials without disrupting production continuity.]]>
<![CDATA[TOFU PRODUCTION OPTIMIZATION USING INTEGER LINEAR PROGRAMMING THROUGH BRANCH AND BOUND APPROACH ]]>
<![CDATA[Ani Putri, Khairunnisa]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v5i2.986
<![CDATA[This research optimizes tofu production at Sumedang Mas Ponimin Tofu Factory, Medan, which produces white tofu, yellow tofu, and pong tofu. Facing the challenges of production efficiency and profit improvement due to manual methods, an optimization model was developed using simplex and branch and bound methods. Primary and secondary data were used to evaluate raw material availability, production capacity, and profitability. The results showed an increase in daily production from 118 to 142 boards and an increase in profit from Rp1,888,500 to Rp2,263,500. This research confirms the effectiveness of applying mathematical optimization methods in improving operational efficiency and decision-making in the food industry.]]>
<![CDATA[IMPLEMENTATION OF THE CUTTING PLANE METHOD TO OPTIMIZE THE PRODUCTION PROFIT OF PAK SUNAR'S TEMPE FACTORY ]]>
<![CDATA[Aini, Sofiah]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
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Original Source
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DOI: 10.53806/jmscowa.v5i2.987
<![CDATA[This research optimizes tofu production at Sumedang Mas Ponimin Tofu Factory, Medan, which produces white tofu, yellow tofu, and pong tofu. Facing the challenges of production efficiency and profit improvement due to manual methods, an optimization model was developed using simplex and branch and bound methods. Primary and secondary data were used to evaluate raw material availability, production capacity, and profitability. The results showed an increase in daily production from 118 to 142 boards and an increase in profit from Rp1,888,500 to Rp2,263,500. This research confirms the effectiveness of applying mathematical optimization methods in improving operational efficiency and decision-making in the food industry.]]>
<![CDATA[APPLICATION OF SIX SIGMA METHOD TO REDUCE DEFECT RATE IN BREAD PRODUCTION ]]>
<![CDATA[Ikhsan Nurrobbil, Damar]]>;
<![CDATA[Roder, Klause]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v5i2.983
<![CDATA[This research discusses the application of the Six Sigma method with the DMAIC approach to reduce the defect rate of bread products at Fadillah Bakery. Through seven days of observation, 248 defective products were found from 2.100 samples with an average Defect Per Million Opportunities (DPMO) of 118.095,2 and asigma level of 2,19. The analysis showed that the factors causing product defects include human error (lack of training and accuracy), non-optimal work methods, and improper roasting machine settings. The proposed improvement measures include increased worker training, scheduling machine maintenance, and stricter supervision. The proposed improvement measures included increased worker training, scheduling machine maintenance, and stricter supervision. The results prove that the implementation of Six Sigma is effective in reducing defect rates, improving product quality, and production process efficiency. Continued implementation is expected to improve Fadillah Bakery's competitiveness and customer satisfaction of Fadillah Bakery.]]>
<![CDATA[Analysis of the Accuracy Level of Using the Monte Carlo Method in Predicting the Number of Dengue Fever Sufferers ]]>
<![CDATA[Nurhabidah, Fauziah]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v5i2.984
<![CDATA[Dengue fever is an infectious disease that continues to be a threat to public health in Indonesia. The increasing number of sufferers every year requires accurate prediction strategies to support effective prevention and control policies. This study aims to analyze the level of accuracy of the Monte Carlo method in predicting the number of dengue fever sufferers in Indonesia, especially in North Sumatra Province. The data used in this research is data on dengue fever cases from 2021 to 2023 obtained from the Central Statistics Agency (BPS) and the Health Service. The prediction process is carried out using Monte Carlo simulation which involves a probability-based random calculation process. The research results show that the Monte Carlo method has a fairly high level of accuracy in predicting patterns of dengue fever cases, with an accuracy value of 3440 (99.41%) compared to other conventional prediction methods. In addition, this method is proven to be flexible in dealing with variations in fluctuating data patterns. It is hoped that this research can contribute to strategic decision making, especially in mitigating dengue fever through more accurate predictions.]]>
<![CDATA[ANALYSIS OF RAW MATERIAL INVENTORY MANAGEMENT USING THE ECONOMIC ORDER QUANTITY (EOQ) METHOD TO DETERMINE PERIODIC ORDER QUANTITY (POQ) AT EMI BAMBANG’S OPAK FACTORY ]]>
<![CDATA[Hanifa Lubis, Nurul]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v5i2.985
<![CDATA[The study aims to analyze the management of raw material inventory at Emi Bambang Opak Factory through the application of an effective method, namely Economic Order Quantity (EOQ) in determining Periodic Order Quantity (POQ). To determine the optimal order quantity, EOQ is used, while POQ is implemented to determine the efficient ordering interval. The results of this study are the determination of the POQ method at the emi bambang opak factory with a cost difference of Rp 30,717,480 for the cost of managing raw materials and ordering raw materials, this can provide solutions in more economical inventory management, to minimize the cost of storing and ordering raw materials without disrupting production continuity.]]>
<![CDATA[TOFU PRODUCTION OPTIMIZATION USING INTEGER LINEAR PROGRAMMING THROUGH BRANCH AND BOUND APPROACH ]]>
<![CDATA[Ani Putri, Khairunnisa]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v5i2.986
<![CDATA[This research optimizes tofu production at Sumedang Mas Ponimin Tofu Factory, Medan, which produces white tofu, yellow tofu, and pong tofu. Facing the challenges of production efficiency and profit improvement due to manual methods, an optimization model was developed using simplex and branch and bound methods. Primary and secondary data were used to evaluate raw material availability, production capacity, and profitability. The results showed an increase in daily production from 118 to 142 boards and an increase in profit from Rp1,888,500 to Rp2,263,500. This research confirms the effectiveness of applying mathematical optimization methods in improving operational efficiency and decision-making in the food industry.]]>
<![CDATA[IMPLEMENTATION OF THE CUTTING PLANE METHOD TO OPTIMIZE THE PRODUCTION PROFIT OF PAK SUNAR'S TEMPE FACTORY ]]>
<![CDATA[Aini, Sofiah]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 2 (2024) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v5i2.987
<![CDATA[This research optimizes tofu production at Sumedang Mas Ponimin Tofu Factory, Medan, which produces white tofu, yellow tofu, and pong tofu. Facing the challenges of production efficiency and profit improvement due to manual methods, an optimization model was developed using simplex and branch and bound methods. Primary and secondary data were used to evaluate raw material availability, production capacity, and profitability. The results showed an increase in daily production from 118 to 142 boards and an increase in profit from Rp1,888,500 to Rp2,263,500. This research confirms the effectiveness of applying mathematical optimization methods in improving operational efficiency and decision-making in the food industry.]]>
