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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 109 Documents
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ANALYSIS OF FACTORS OF MATERNAL MORTALITY RATE IN MEDAN CITY USING BIVARIAT POISSON REGRESSION Sirait, Anita Ningsih; Fairuz, Ersya Nurul; Nikmah, Khairun; Sembiring, Tesya Yunita
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.57

Abstract

There are several factors that cause maternal death, such as bleeding, hypertension, infection, prolonged labor, abortion and others. Maternal deaths related to pregnancy, childbirth and the puerperium (42 days after delivery), and the number of deaths per 100,000 live births related to pregnancy or medical problems (except accidents or incidents). In this study the case of maternal mortality using the Bivariate Poisson Regression model which aims to determine what factors are the main factors in maternal mortality using the Bivariate Poisson regression method.
WEB-BASED MANAGEMENT INFORMATION SYSTEM WITH CODEIGNITER FRAMEWORK Nst, Fifi Anggiani Br; Lubis , Arif Ridho; Sembiring, Boni Oktaviani
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.58

Abstract

The need for shelter becomes very needed at this time, especially people from outside the city who want to work or continue their education to other cities. So that the need for boarding houses to increase and demand by many people. The system that is running on the full boarding house is still done manually where, there is no system that can help in managing his boarding house, where people who want boarding must come directly to see the facilities they have, room status and costs. And there is no system that can help the owner in managing boarding house payments. The development of this system uses the waterfall method. Web-based full boarding management information system can manage boarding payment data and tenant data management.
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.
APPLICATION OF OPTIMAL CONTROL THEORY TO INVENTORY PROBLEMS THAT ARE INCREASING AT PT. INDUSTRY PLYWOOD TJIPTA RIMBA DJAJA Harahap, Tramilta Salsabila; Dur, Sajaratud; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.525

Abstract

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.
IMPLEMENTATION OF EXPONENTIAL SMOOTHING METHOD IN THE NUMBER OF DIVORCE RATE IN INDONESIA Yuliani, Eva; Rakhmawati, Fibri; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.526

Abstract

The divorce rate in Indonesia from 2007 to 2020 has increased. The increase in the divorce rate in Indonesia has an impact on the mental condition of children. The purpose of this study is to find out the results of the number of divorce rates in Indonesia in 2021-2022 and to see which accuracy is more accurate between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method. Comparison between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method which has more accurate forecasting, namely the Double Exponential Smoothing Method with parameter values and the MAPE value of 14.27%, the equation for forecasting the divorce rate in Indonesia is . The results of the study show that the divorce rate in Indonesia will increase in 2021 with 285,903 cases and decrease in 2022 with 268,649 cases.
APPLICATION OF THE FORWARD RECURSIVE EQUATION MODEL ON WASTE TRANSPORTATION ROUTES IN MEDAN JOHOR DISTRICT USING DYNAMIC PROGRAMMING ALGHORITHM Hanum, Syarifah; Azura, Maudya Nur; Sari, Dinda Permata; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 1 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v5i1.854

Abstract

Waste problems often occur in big cities such as Jakarta, Surabaya, Medan, Bandung, Yogyakarta and Semarang. Urban waste is waste produced by human activities in urban areas, including various types of materials such as plastic, paper, metal and organic materials. Therefore, waste needs to be collected, transported and disposed of immediately to prevent negative impacts on the environment. With the increase in population in urban areas, it is likely that the amount of waste will also increase. The solution that can be used to solve this problem is to optimize the distance using a dynamic programming model forward recursive equation algorithm. The application of dynamic programming can be used to solve various problems such as determining the shortest distance, optimal flow, task or resource scheduling, production planning, network optimization, and problems in research and development projects. Based on determining the optimal route for transporting waste in Medan Johor District using the dynamic programming algorithm forward recursive equation model, the total distance is 26,2km.

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