Articles
<![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[OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD ]]>
<![CDATA[Dongoran, Rodiani]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v3i2.73
<![CDATA[The bread-making business is part of the finished food industry which uses wheat flour as the main raw material for its production process. Bread production has quality characteristics, namely bread surface roughness (Smaller is better) and material processing rate (Larger is better). The combination of the Taguchi-Principal Component Analysis method is used to optimize bread products. The experimental design used is the L9 orthogonal matrix. These quality characteristics are influenced by factors such as the length of time for mixing and kneading, yeast fermentation, roasting time and the dose of water with 3 levels each. Principal Component Analysis (PCA) is used to eliminate correlated correlated responses to an uncorrelated quality index. The results showed that this method can improve the quality of bread production in influencing the surface roughness of the bread and the significant speed of processing the ingredients is the dough time, yeast fermentation, and baking time.]]>
<![CDATA[FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD ]]>
<![CDATA[Sari, Dinda]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Rakhmawati, Fibri]]>;
<![CDATA[Anjelina, Repina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
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DOI: 10.53806/jmscowa.v3i2.116
<![CDATA[Transportation is an activity to move goods or people from one place to another. At present, transportation is very much needed by all groups to carry out an activity. Along with the development of the times and with the development of the times and with the existence of an internet, now many enterpreneurs are opening a business such as online transportation. This study uses the Fuzzy Time Series Cheng method in his research to see how accurate the model is to predict the future period. The results of the research using the Fuzzy Time Series Cheng method on the five service features in the Oke Jack, it was found that some of these service features resulted in MAPE error values below 10%, which is the best measure.]]>
<![CDATA[APPLICATION OF OPTIMAL CONTROL THEORY TO INVENTORY PROBLEMS THAT ARE INCREASING AT PT. INDUSTRY PLYWOOD TJIPTA RIMBA DJAJA ]]>
<![CDATA[Harahap, Tramilta Salsabila]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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DOI: 10.53806/jmscowa.v3i1.525
<![CDATA[Every company that carries out businees activities generally has inventory. Inventories include raw materials, semi-finished goods or finished goods. Inventories of goods in the company have increased and decreased. An increase in inventory can cause losses, because the cost of storing and maintaining in the warehouse is too high. While a decrease in inventory can result in a shortage of inventory. The purpose of this research is to determine the level of optimal inventory in PT. Industry Plywood Tjipta Rimba Djaja. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the time . For the planning length of 12 months includes: raw material inventory (logs sengon and rambung), production (finished materials in process) and finished plywood or plywood products that are in the warehouse. From this research optimal control theory can be applied in PT. Industry Plywood Tjipta Rimba Djaja to optimize inventory on the problem of increasing inventory.]]>
<![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
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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[OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD ]]>
<![CDATA[Dongoran, Rodiani]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Widyasari, Rina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v3i2.73
<![CDATA[The bread-making business is part of the finished food industry which uses wheat flour as the main raw material for its production process. Bread production has quality characteristics, namely bread surface roughness (Smaller is better) and material processing rate (Larger is better). The combination of the Taguchi-Principal Component Analysis method is used to optimize bread products. The experimental design used is the L9 orthogonal matrix. These quality characteristics are influenced by factors such as the length of time for mixing and kneading, yeast fermentation, roasting time and the dose of water with 3 levels each. Principal Component Analysis (PCA) is used to eliminate correlated correlated responses to an uncorrelated quality index. The results showed that this method can improve the quality of bread production in influencing the surface roughness of the bread and the significant speed of processing the ingredients is the dough time, yeast fermentation, and baking time.]]>
<![CDATA[FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD ]]>
<![CDATA[Sari, Dinda]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Rakhmawati, Fibri]]>;
<![CDATA[Anjelina, Repina]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v3i2.116
<![CDATA[Transportation is an activity to move goods or people from one place to another. At present, transportation is very much needed by all groups to carry out an activity. Along with the development of the times and with the development of the times and with the existence of an internet, now many enterpreneurs are opening a business such as online transportation. This study uses the Fuzzy Time Series Cheng method in his research to see how accurate the model is to predict the future period. The results of the research using the Fuzzy Time Series Cheng method on the five service features in the Oke Jack, it was found that some of these service features resulted in MAPE error values below 10%, which is the best measure.]]>
<![CDATA[APPLICATION OF OPTIMAL CONTROL THEORY TO INVENTORY PROBLEMS THAT ARE INCREASING AT PT. INDUSTRY PLYWOOD TJIPTA RIMBA DJAJA ]]>
<![CDATA[Harahap, Tramilta Salsabila]]>;
<![CDATA[Dur, Sajaratud]]>;
<![CDATA[Husein, Ismail]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.53806/jmscowa.v3i1.525
<![CDATA[Every company that carries out businees activities generally has inventory. Inventories include raw materials, semi-finished goods or finished goods. Inventories of goods in the company have increased and decreased. An increase in inventory can cause losses, because the cost of storing and maintaining in the warehouse is too high. While a decrease in inventory can result in a shortage of inventory. The purpose of this research is to determine the level of optimal inventory in PT. Industry Plywood Tjipta Rimba Djaja. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the time . For the planning length of 12 months includes: raw material inventory (logs sengon and rambung), production (finished materials in process) and finished plywood or plywood products that are in the warehouse. From this research optimal control theory can be applied in PT. Industry Plywood Tjipta Rimba Djaja to optimize inventory on the problem of increasing inventory.]]>
