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Journal of Mathematics and Scientific Computing With Applications
Published by Yayasan Pena Cendekia Insani
ISSN : 27985512     EISSN : 27985776     DOI : -
Core Subject : Education,
Mathematics
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.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2022)" : 10 Documents clear
OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD Dongoran, Rodiani; Dur, Sajaratud; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.29 KB) | DOI: 10.53806/jmscowa.v3i2.73

Abstract

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.
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Salasa Riana, Dwi; Rakhmawati, Fibri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1064.834 KB) | DOI: 10.53806/jmscowa.v3i2.77

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
FORECASTING THE NUMBER OF PASSENGERS FOR THE MEDAN-KUALANAMU TRAIN WITH TIME INVARIANT FUZZY TIME SERIES METHOD Nasution, Pauziah; Huda Prasetya, Nurul; Rakhmawati, Fibri
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1239.711 KB) | DOI: 10.53806/jmscowa.v3i2.78

Abstract

For forecasting, a forecasting model is needed. Forecasting to find out the increase or even decrease for the departure of Medan - Kualanamu for the next few years. Then the value generated by fuzzy logic is not yes, which has a value of 1, and is not worth 0. Time series is data that is collected from time to time, to describe the development of an activity. From the case of forecasting the number of passengers of the Medan-Kualanamu Train, the author will use the Time Invariant Fuzzy Time Series method. Based on the research, it is obtained that the forecasting of the number of passengers of the Medan-Kualanamu / Kualanamu-Medan train in 2021 is 182,874.9; and 2022 is 266,527,510.6 with AFER is 2,5%.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Filia Sari, Rina; Aprilia, Rima; Iman, Nur
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1265.46 KB) | DOI: 10.53806/jmscowa.v3i2.79

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.
FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD Sari, Dinda; Dur, Sajaratud; Rakhmawati, Fibri; Anjelina, Repina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.413 KB) | DOI: 10.53806/jmscowa.v3i2.116

Abstract

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.
OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD Dongoran, Rodiani; Dur, Sajaratud; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.73

Abstract

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.
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Salasa Riana, Dwi; Rakhmawati, Fibri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.77

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
FORECASTING THE NUMBER OF PASSENGERS FOR THE MEDAN-KUALANAMU TRAIN WITH TIME INVARIANT FUZZY TIME SERIES METHOD Nasution, Pauziah; Huda Prasetya, Nurul; Rakhmawati, Fibri
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.78

Abstract

For forecasting, a forecasting model is needed. Forecasting to find out the increase or even decrease for the departure of Medan - Kualanamu for the next few years. Then the value generated by fuzzy logic is not yes, which has a value of 1, and is not worth 0. Time series is data that is collected from time to time, to describe the development of an activity. From the case of forecasting the number of passengers of the Medan-Kualanamu Train, the author will use the Time Invariant Fuzzy Time Series method. Based on the research, it is obtained that the forecasting of the number of passengers of the Medan-Kualanamu / Kualanamu-Medan train in 2021 is 182,874.9; and 2022 is 266,527,510.6 with AFER is 2,5%.
PLANNING OF RAW MATERIAL INVENTORY TO MAKE TOFU METHOD WITH MATERIAL REQUIRETMENSPLANNING (MRP) Damayanti; Filia Sari, Rina; Aprilia, Rima; Iman, Nur
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.79

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.
FORECASTING THE USE OF OKE JACK COMPANY’S ONLINE TRANSPORTATION IN MEDAN USING THE CHENG FUZZZY TIME SERIES METHOD Sari, Dinda; Dur, Sajaratud; Rakhmawati, Fibri; Anjelina, Repina
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 2 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i2.116

Abstract

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.

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