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Journal of Mathematics and Scientific Computing With Applications

jmscowa
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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 67 Documents

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ANALYSIS OF MSME INCOME IN MEDAN CITY DURING THE COVID-19 PERIOD WITH MULTIPLE LINEAR REGRESSION METHODE Sari, Nila; Dwi Tartila; Mahally, Jalaluddin; Khairul Furqan
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

Micro, Small and Medium Enterprises (MSMEs) are an element of the phenomenon in today's economic world. With a capital that is not too large, you can start a business according to the desired goals. However, there are problems when operating whether MSMEs can survive and develop or can compete with large industries. Especially at this time around the world, being hit by the infectious disease covid-19 which has developed in 2020. The purpose of the study is to find out whether there is an influence from the development of covid-19 in the city of Medan on the income of MSMEs in the city of Medan. Data collection was carried out by interviewing several MSMEs around the city of Medan and taking the amount of data on Covid patients from the Medan City Government website, the Task Force for the Acceleration of Covid-19 Handling and the Medan City Health Office. To analyze the data, this research uses multiple linear regression analysis to see if there is an influence from Covid-19 on the development of Micro, Small, and Medium Enterprises in Medan City. The results of this study indicate that there is no significant effect of covid-19 between MSME income before the pandemic and the number of Covid-19 sufferers on MSME income when the pandemic increases.

BLACK TEA GRADE CLASSIFICATION USING PROBABILISTIC NEURAL NETWORK (PNN) Sari, Evi Indah; Prasetya, Nurul Huda; Lubis, Riri Syafitri
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

North Sumatera tea is known as black tea, one which is produced by PT Perkebunan Nusantara IV Unit Bah Butong which produce 16 types of black tea. This research aims to classify black tea grades using Probabilistic Neural Network method and determine the accuracy value of black tea classification using Probabilistic Neural Network method. Data used are data of characteristics of 16 black tea types with the attributes id, types of tea, colour density, particel weight, particel size and particel shape. To get the best accuracy result, training data and testing data are divided using K-Means Clustering. Futhermore, classificy the testing data using Probabilistik the result obtained a grade 1 classification class totaling 7 records with a brownish black appearance and granutes particel, grade 2 totalling 7 record with a beownish appearance and grade 3 totaling 2 records with reddish appearance and not determine its shape and obtain an accuracy value of 80,00%.

CRITERIA FOR RECEIVING DIRECT CASH TRANSFERS USING THE TOPSIS METHOD Sari, Adek Kumala; Putri, Rezza Olga Shaponda; Willana, Rini Ade; Hazizah, Salsabillah
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

In carrying out the direct cash transfer program during the Covid-19 pandemic, this is one of the efforts of the government to overcome poverty in Indonesia. In this case, it is very important that the assistance provided is right on target, so that it can be used by people in need. The method used in this research is the topsis method, by using the topsis method it is expected that the results given will find an alternative solution that is more precise and accurate because the calculation is based on predetermined criteria and weight values. Therefore, the researcher took the Topsis model for this study in order to provide maximum and accurate results.

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

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

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

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

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

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

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

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.

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Abdi Mubarak Syam

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Jalan Komplek Villa Asoka Blok C-4, Medan, Provinsi Sumatera Utara, 20133

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Jawa timur

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Home Page

OAI Link

Editorial Team

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Reviewer

Google Scholar

Contact Name Abdi Mubarak Syam

Contact Email abdimubaraksyam@uinsu.ac.id

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Journal Mail Official jmscowa@pcijournal.org

Editorial Address Jalan Komplek Villa Asoka Blok C-4, Medan, Provinsi Sumatera Utara, 20133

Location Kab. situbondo, Jawa timur INDONESIA

Abstract

Abstract

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Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Abdi Mubarak Syam

Contact Email
abdimubaraksyam@uinsu.ac.id

Phone
-

Journal Mail Official
jmscowa@pcijournal.org

Editorial Address
Jalan Komplek Villa Asoka Blok C-4, Medan, Provinsi Sumatera Utara, 20133

Location
Kab. situbondo,

Jawa timur

INDONESIA