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All Journal Zero : Jurnal Sains, Matematika, dan Terapan INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Mathematics and Scientific Computing With Applications
Rina Widyasari
Department of Mathematics, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences

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Religious Moderation in Silo Baru (Case Study: Tuanku Sheikh Silo) Mhd. Joni Marpaung; Rizka Ramadani Sam; Nuraini Ade Putri Lubis; Rina Widyasari; Ismail Husein; Nafila Zendhia Ulhaq; Khoiriah Syahfitri; Puan Salwa Afifah; Rahma Utami; M. Abdul Rizki
International Journal of Cultural and Social Science Vol. 2 No. 2 (2021): June
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.66 KB) | DOI: 10.53806/ijcss.v2i2.93

Abstract

The religious moderation in Silo Baru will be described in this article. The purpose of this paper is to discuss religious moderation in Silo Baru, the role of religious instructors in achieving village peace, inter-religious relations, inter-religious relationship weaknesses, challenges and opportunities for religious moderation, and indicators of religious moderation. A qualitative research method was employed. Tuanku Sheikh Silau Laut's History was used as a case study. How religious moderation evolved from time to time to the present. According to the findings of this study, religious moderation is a perspective on how to understand and apply religious teachings so that they are not excessive and do not cause conflict among Muslims and people of other faiths. Of course, differences of opinion will continue to emerge in every village. However, it does not have to cause division among fellow humans. It requires religious moderation in the form of acknowledging the existence of other parties, being tolerant, respecting differences of opinion, and not imposing one's will through violence.
ANALYSIS OF THE VISIT RATE AT THE IRIAN MARELAN SUPERMARKET DURING THE COVID-19 PANDEMIC Dinda Kartika; Riri Syafitri Lubis; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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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.
M/G/1 QUEUE WITH SINGLE WORKING VACATION AND VACATION INTERRUPTION TO THE EXPECTED VALUE OF MANY CUSTOMERSAT BANK MUAMALAT SUKARAMAI SUB-BRANCH OFFICE Rahmi Susilowati; Riri Syafitri Lubis; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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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 Fina Nur Pertiwi; Riri Syafitri Lubis; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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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.
PREDICT THE PRICE OF CURLY RED CHILI IN NORTH SUMATRA USING THE HOLT WINTERS ADDITIVE METHOD Umi Sarah Nurainun; Sajaratud Dur; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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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 Ayu Novia; Rina Filia Sari; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 1 (2021)
Publisher : Pena Cendekia Insani

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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.
IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA Ria Widiya Pratiwi; Rina Filia Sari; Rina Widyasari
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 | Full PDF (431.57 KB)

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.
OPTIMIZATION OF SYAHFIRA BAKERY PRODUCTION USING THE TAGUCHI-PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD Rodiani Dongoran; Sajaratud Dur; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

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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.
PREDICTION OF TOBACCO PRODUCTION USING THE METHOD SINGLE SPECTRUM ANALYSIS (SSA) Ardaniah Hazrah; Rina Widyasari
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17156

Abstract

ABSTRACTThe increasing population growth in North Sumatra Province every year has an impact on increasing the need for staple sources for daily life in North Sumatra, so it is necessary to do a forecast to anticipate food shortages in the future. This study aims to determine the results of tobacco production in North Sumatra Province in 2024 and the level of accuracy of the methods used. The results of the study obtained the prediction of rice production in North Sumatra Province in 2024 using the Singular Spectrum Analysis (SSA) method, respectively from Quarter I to Quarter III, of 665 tons, 725 tons, and 740 tons, with a level of forecasting accuracy based on the standard MAPE value obtained of 15.78%. The MAPE value obtained is less than 10% and close to 0%, meaning that the SSA method with window lengths of 9 and 7 groups is very accurate for predicting tobacco production in North Sumatra Province.
Co-Authors Ardaniah Hazrah Ayu Novia Dinda Kartika Fina Nur Pertiwi Ismail Husein, Ismail Khoiriah Syahfitri Lubis, Riri Syafitri M. Abdul Rizki Mhd. Joni Marpaung Nafila Zendhia Ulhaq Nuraini Ade Putri Lubis Puan Salwa Afifah Rahma Utami Rahmi Susilowati Ria Widiya Pratiwi Rina Filia Sari Rizka Ramadani Sam Rodiani Dongoran Sajaratud Dur Umi Sarah Nurainun