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[FORECASTING THE NUMBER OF COVID-19 SUFFERERS IN NORTH SUMATRA USING THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV CHAIN METHOD ]]>
<![CDATA[Siregar, Anggi Ramadany]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v2i1.48
<![CDATA[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.]]>
<![CDATA[PREDICT THE PRICE OF CURLY RED CHILI IN NORTH SUMATRA USING THE HOLT WINTERS ADDITIVE METHOD ]]>
<![CDATA[Nurainun, Umi Sarah]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v2i1.49
<![CDATA[Curly red chilies are one of the vegetable commodities that have an effect on national economic growth. North Sumatra is one of the largest red chilli have a problem with price fluctuations which will result in inflanation. Erratic chili prices will have an impact on society and the country. The right policy to avoid negative impact on price fluctuations of North Sumatra’s curly red chilies is to predict it in the future. The purpose of this study was to obtain the result of the prediction of the price of North Sumatra curly red chilies. The results of this analysis can be used in determining the right policy. The method used in this study is the Holt Winters Additive Method, because the Holt Winters Additive Method is a method that can be used for forecasting data that has elements of trend and seasonality. The data used in this study is the average price of North Sumatra curly red chilies per week from January 2020 to February 2021 which is obtained from the National Strategic Food Price Information Center. After testing the price of curly red chilies in North Sumatra, a forecast data plot is obtained which tends to follow the actual data. Then the error rate is measured using MAPE (Mean Absolute Percentage Error). The MAPE results obtained were 10.15% with the best parameters ? = 0.84, ? = 0.09 and ? = 0.83. this means that the Holt Winters Additive method has a good level of accuracy used to predict the price of curly red chilies in North Sumatra Province.]]>
<![CDATA[APPLICATION OF LEAN SIX-SIGMA METHOD AND DEMERIT CHART TO MINIMIZE DEFECTIVE PRODUCT ]]>
<![CDATA[Novia, Ayu]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v2i1.51
<![CDATA[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.]]>
<![CDATA[SIMULATION OF TRAIN TICKET BOOKING PROCEDURES AT XYZ TRAIN STATION BASED ON 3D ANIMATION WITH THE POSE TO POSE METHOD ]]>
<![CDATA[Hariani, Siti]]>;
<![CDATA[Dafitri, Haida]]>;
<![CDATA[Usman, Ari]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
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DOI: 10.53806/jmscowa.v2i2.53
<![CDATA[The development of the world of technology today has almost touched all aspects of human life from the agricultural, health, academic, trade and transportation sectors. Rail transportation is one of the land transportation that plays an important role for the development of all sectors in Indonesia. However, so far there are still many people who do not understand the procedure for ordering train tickets, so the author makes a simulation education of train ticket ordering procedures that can be accessed by the general public. To realize this, it can be done by utilizing multimedia facilities based on 3-dimensional (3D) animation. The selection of multimedia facilities based on 3D Animation is also an innovation in conveying information digitally. This animation provides a detailed and structured explanation of the procedure for booking train tickets at XYZ station. This animation is made in the form of video, has an explanation in the form of text and sound. Transition effects along with background music sync are also added to make the Animations more interesting. The results of the research conducted by the author can be seen based on the results of a video simulation trial of the 3D animation-based train ticket ordering procedure that the author made in the form of a questionnaire taken from twenty respondents. From the results of the questionnaire, 85% of respondents stated that it was "very helpful", 10% "helped", and 5% "enough" that this simulation video of the train ticket ordering procedure helps people who do not understand the procedure for ordering train tickets. In addition, 85% of respondents stated that they were "very able" and 15% said "can" that 3D animation can be used in delivering education, especially education on simulation of train ticket ordering procedures that can be accessed by the general public.]]>
<![CDATA[IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA ]]>
<![CDATA[Pratiwi, Ria Widiya]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
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Full PDF (431.57 KB)
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DOI: 10.53806/jmscowa.v2i2.54
<![CDATA[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.]]>
<![CDATA[FORECASTING THE NUMBER OF COVID-19 SUFFERERS IN NORTH SUMATRA USING THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV CHAIN METHOD ]]>
<![CDATA[Siregar, Anggi Ramadany]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
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DOI: 10.53806/jmscowa.v2i1.48
<![CDATA[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.]]>
<![CDATA[PREDICT THE PRICE OF CURLY RED CHILI IN NORTH SUMATRA USING THE HOLT WINTERS ADDITIVE METHOD ]]>
<![CDATA[Nurainun, Umi Sarah]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v2i1.49
<![CDATA[Curly red chilies are one of the vegetable commodities that have an effect on national economic growth. North Sumatra is one of the largest red chilli have a problem with price fluctuations which will result in inflanation. Erratic chili prices will have an impact on society and the country. The right policy to avoid negative impact on price fluctuations of North Sumatra’s curly red chilies is to predict it in the future. The purpose of this study was to obtain the result of the prediction of the price of North Sumatra curly red chilies. The results of this analysis can be used in determining the right policy. The method used in this study is the Holt Winters Additive Method, because the Holt Winters Additive Method is a method that can be used for forecasting data that has elements of trend and seasonality. The data used in this study is the average price of North Sumatra curly red chilies per week from January 2020 to February 2021 which is obtained from the National Strategic Food Price Information Center. After testing the price of curly red chilies in North Sumatra, a forecast data plot is obtained which tends to follow the actual data. Then the error rate is measured using MAPE (Mean Absolute Percentage Error). The MAPE results obtained were 10.15% with the best parameters ? = 0.84, ? = 0.09 and ? = 0.83. this means that the Holt Winters Additive method has a good level of accuracy used to predict the price of curly red chilies in North Sumatra Province.]]>
<![CDATA[APPLICATION OF LEAN SIX-SIGMA METHOD AND DEMERIT CHART TO MINIMIZE DEFECTIVE PRODUCT ]]>
<![CDATA[Novia, Ayu]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v2i1.51
<![CDATA[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.]]>
<![CDATA[SIMULATION OF TRAIN TICKET BOOKING PROCEDURES AT XYZ TRAIN STATION BASED ON 3D ANIMATION WITH THE POSE TO POSE METHOD ]]>
<![CDATA[Hariani, Siti]]>;
<![CDATA[Dafitri, Haida]]>;
<![CDATA[Usman, Ari]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v2i2.53
<![CDATA[The development of the world of technology today has almost touched all aspects of human life from the agricultural, health, academic, trade and transportation sectors. Rail transportation is one of the land transportation that plays an important role for the development of all sectors in Indonesia. However, so far there are still many people who do not understand the procedure for ordering train tickets, so the author makes a simulation education of train ticket ordering procedures that can be accessed by the general public. To realize this, it can be done by utilizing multimedia facilities based on 3-dimensional (3D) animation. The selection of multimedia facilities based on 3D Animation is also an innovation in conveying information digitally. This animation provides a detailed and structured explanation of the procedure for booking train tickets at XYZ station. This animation is made in the form of video, has an explanation in the form of text and sound. Transition effects along with background music sync are also added to make the Animations more interesting. The results of the research conducted by the author can be seen based on the results of a video simulation trial of the 3D animation-based train ticket ordering procedure that the author made in the form of a questionnaire taken from twenty respondents. From the results of the questionnaire, 85% of respondents stated that it was "very helpful", 10% "helped", and 5% "enough" that this simulation video of the train ticket ordering procedure helps people who do not understand the procedure for ordering train tickets. In addition, 85% of respondents stated that they were "very able" and 15% said "can" that 3D animation can be used in delivering education, especially education on simulation of train ticket ordering procedures that can be accessed by the general public.]]>
<![CDATA[IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA ]]>
<![CDATA[Pratiwi, Ria Widiya]]>;
<![CDATA[Sari, Rina Filia]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v2i2.54
<![CDATA[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.]]>
