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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 107 Documents
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ANALYSIS OF THE VISIT RATE AT THE IRIAN MARELAN SUPERMARKET DURING THE COVID-19 PANDEMIC Kartika , Dinda; Lubis, Riri Syafitri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.44

Abstract

Currently our country is experiencing a disaster due to a very dangerous virus that has claimed many lives or commonly referred to as COVID-19. The government had limited the operating hours of public places to prevent the spread of the virus. This has resulted in disruption of economic activities, one of which is the Irian Supermarket & Dept Store. This research was conducted to determine how the level of visits to Irian with the Spearman Rank Correlation method. From the results of the Spearman Rank correlation analysis carried out, the calculated value is 0.307 with a positive sign which indicates a low level of relationship and it is concluded that the level of visits is not influenced by the application of health protocols but is influenced by facilities and sales techniques, This can also be seen in the results of the t-test. The result of count obtained is 3.20 shows that the variable level of visits has a significant correlation with purchasing decisions.
MONTE CARLO SIMULATION IN PREDICTING THE SPREAD OF COVID-19 IN MEDAN CITY Hasnah , Dara Nurul; Andriani , Dina; Sahpitri, Ely; Harahap, Zihan Rossus Aini
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.45

Abstract

Covid-19 or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a new type of virus that has given up on the human respiratory system and is currently spreading throughout the world. So, this research will discuss the prediction of the spread of Covid-19 in Medan City. The method used is the Monte Carlo simulation. This method is used to determine the number of patients both ODP patients (people under observation), positive, recovered and died. The Monte Carlo simulation is carried out with the help of Microsoft Excel and the simulation is carried out with 1 to 1,000,000 repetitions. From the simulation results, the smallest error data is 0% and the largest error data is 6%.
M/G/1 QUEUE WITH SINGLE WORKING VACATION AND VACATION INTERRUPTION TO THE EXPECTED VALUE OF MANY CUSTOMERSAT BANK MUAMALAT SUKARAMAI SUB-BRANCH OFFICE Susilowati, Rahmi; Lubis, Riri Syafitri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.46

Abstract

Queuing occurs because the number of customers who arrive exceeds the service capacity, so customers have to queue to be served. A working vacation is a server serving at a slower speed. The server can return to a busy period with a (vacation interruption) opportunity or continue a vacation with a opportunity, with the single working vacation and vacation interruption method. The objective of this study is to obtain the effect of service rate and the expected value of the number of customers in the system after the departure of one customer and minimize operating costs during the vacation period (pause). The M / G / 1 queue study with Single Working Vacation and Vacation Interruption found that the average arrival rate (?) was 0.069 and the average service rate was 1.5 with the average vacation time (?) was 0, 41 and the average value of the expected number of customers in the system is 0,19 and for operating costs it can also be drunk to -16,38. This means that the queuing system is not efficient, due to the low level of server activity and the expected value of the number of customers in the system is 0 or there are no customers waiting in the system.
POPULATION PROJECTION AND FACTOR ANALYSIS AFFECTING POPULATION GROWTH IN THE CITY MEDAN USING NON LINEAR TRENDS POLYNOMIC METHOD Pertiwi, Fina Nur; Lubis, Riri Syafitri; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.47

Abstract

Non-linear trend is a measure of trend that has a model with quadratic equations, cubic and so on. The purpose of this research is to determine the population projection in Medan using a non-linear trend of the polynomial method (parabolic trend / quadratic trend) and to determine the factors that influence population growth in the city of Medan. From the results of data processing using the non-linear trend of the polynomial method, it is obtained that the projected number of population in 2029 will be 2645501 people, with The total male population is 1314713 and the female population is 1330788. When compared with the population in previous years, it can be seen that until 2029 the population in Medan will increase. Based on the research results from the factor analysis, it is known that the factors that are formed from the factor analysis process can be concluded that all the factors formed affect the population growth rate of Medan. The factors formed are birth (fertility), death (mortality) and migration.
FORECASTING THE NUMBER OF COVID-19 SUFFERERS IN NORTH SUMATRA USING THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV CHAIN METHOD Siregar, Anggi Ramadany; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.48

Abstract

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.
PREDICT THE PRICE OF CURLY RED CHILI IN NORTH SUMATRA USING THE HOLT WINTERS ADDITIVE METHOD Nurainun, Umi Sarah; Dur, Sajaratud; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.49

Abstract

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.
APPLICATION OF LEAN SIX-SIGMA METHOD AND DEMERIT CHART TO MINIMIZE DEFECTIVE PRODUCT Novia, Ayu; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i1.51

Abstract

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.
SIMULATION OF TRAIN TICKET BOOKING PROCEDURES AT XYZ TRAIN STATION BASED ON 3D ANIMATION WITH THE POSE TO POSE METHOD Hariani, Siti; Dafitri, Haida; Usman, Ari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i2.53

Abstract

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.
IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA Pratiwi, Ria Widiya; Sari, Rina Filia; Widyasari, Rina
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v2i2.54

Abstract

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.
PROTOTYPE POWER USE EFFICIENCY SYSTEM ON RFID AND PASSIVE INFRARED ELECTRONIC DEVICES Siregar , Diana Novita; Lubis, Abdul Jabbar; Lubis, Imran
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.v3i1.55

Abstract

The problem that is often faced today is when we travel out of a room and we forget to turn off electronic devices in the room which results in a surge in costs that must be paid for wasteful use of electronic goods, in this modern era many ways can be done to make automatic system that aims to help human work, in this system the author makes a system that can save electricity usage. By using the PIR sensor to detect movement, and if there is movement inside the room then the electronic goods will live and, if the user wants to use power without having to turn off automatically, then the user can use the RFID card to be affixed to the electronic goods will continue to live until the card is removed from the RFID module, and the buzzer will sound if the user attaches the card to the RFID module incorrectly, to make it easier for the user to see the current conditions, then install the LCD to make it easier for the user to know the current condition.

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