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Muhammad Hidayat
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Magister Pendidikan Matematika Program Pascasarjana Universitas Muhammadiyah Sumatera Utara, Jl. Denai No 217, Medan, Indonesia
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Journal of Mathematics Education and Application (JMEA)
Published by Universitas Muhammadiyah Sumatera Utara
ISSN : -     EISSN : 28291514     DOI : DOI: http://dx.doi.org/10.30596%2Fjmea.v1i2
Core Subject : Education,
Education Mathematics
Journal of Mathematics Education and Application (JMEA) menerima artikel dan mempublikasikan hasil kajian/penelitian ilmiah tentang Pendidikan dan Aplikasi Matematika dan yang berkaitan. Penyebarluasan penelitian bertujuan untuk membangun peradaban bangsa serta mengembangkan Ilmu Pendidikan dan Aplikasi Matematikadan teknologi dalam meningkatkan sumber daya manusia. Focus & Scope 1. Learning Media for Mathematics Education 2. Mathematics Education Curriculum Development 3. Development of Mathematics Education Teaching Materials 4. Research and Teaching Mathematics Education 5. Application of Mathematics Applications 6. Applications of Mathematics Science
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 2, No 3 (2023): Oktober" : 5 Documents clear
The Application Of Servqual Method and Importance Performance Analysis (IPA) in Analyzing The level of Patient Satisfaction With the Quality of Service at Wira Husada Kisaran General Hospital Sirait, Naomi Natasya; Marbun, James Piter
JMEA : Journal of Mathematics Education and Application Vol 2, No 3 (2023): Oktober
Publisher : JMEA : Journal of Mathematics Education and Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jmea.v2i3.17096

Abstract

One of the health care facilities are hospital. Hospitals are required to provide quality services to give satisfaction to the patient. Services that are less than optimal will reduce the number of patients visiting. Therefore, improving the quality of service is needed in an effort to attract patients to seek treatment at the WiraHusadaKisaran General Hospital. This research was conducted by distributing 70 questionnaires and calculations were carried out using the Importance Performance Analysis (IPA) method and the Servqual method. The Servqual method is used to determine the level of patient satisfaction and the Importance Performance Analysis (IPA) method is used to determine which attributes need improvement. From the results of the calculation of the Servqual method using 5 dimensions of service, namely tangible, reliability, responsiveness, assurance, and empathy to determine the value of GAP. On the tangible dimensions of the attributes that have not satisfied the patient, the comfort and cleanliness of the hospital and inpatient environment. In the dimension of reliability attributes that have not satisfied the patient, the doctor conducts an examination of the patient according to the specified schedule and on time. In the dimension of responsiveness attributes that have not satisfied patients, namely, nurses quickly and responsively serve patients. On the assurance dimension has satisfied patients. In the dimension of emphaty attributes that have not satisfied the patient, namely, medical personnel respond to patient complaints. From the results of the calculation of the Importance Performance Analysis (IPA) method, it has a suitability level value of 79.34% and in the Cartesian diagram of the 20 attributes there are 6 attributes that require repair and improvement, namely attribute numbers 1, 3, 4, 8, 9, and 12.
Comparison of Newton Raphson Method and Ridge Method In Probit Regression Parameter Estimation Yastri, Yastri; Pane, Rahmawati
JMEA : Journal of Mathematics Education and Application Vol 2, No 3 (2023): Oktober
Publisher : JMEA : Journal of Mathematics Education and Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jmea.v2i3.13327

Abstract

Probit regression model is a non-linear model used in the process of analyzing the relationship between a response variable that has categorical properties. The problem that is very often experienced in probit regression when the predictor variable consists of one or more is that there is a very high correlation between predictor variables called multicollinearity. To overcome this, the Newton Raphson method and the Rigde method are used. So this research was conducted to compare the Newton Raphson method and the Ridge method in the estimation of the Probit Regression parameter. The data used in this research is 1000 data generation that contains multicollinearity. Based on this research, the estimated mean square error of the Probit Regression model using the Newton Raphson method is 0.488. The estimation result of the mean square error of the Probit Regression model using the Ridge method is 0.488. The results of this study indicate that the estimation of the Probit Regression parameter using the Newton Raphson method is as good as the Ridge method. This can be seen from the estimated value of MSE using the Newton Raphson method and the Ridge method. This can happen due to the small value of the langrage multiplier obtained, so it does not have an impact on the model obtained.
Application of Goal Programming Method in Production Optimization of Crude Palm Oil and Crude Palm Karnel Oil (Case Study: Pt. Barumunagro Sentosa) Rizwana, Annisa; Nasution, Putri Khairiah
JMEA : Journal of Mathematics Education and Application Vol 2, No 3 (2023): Oktober
Publisher : JMEA : Journal of Mathematics Education and Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jmea.v2i3.13340

Abstract

Planning in production is an action from a company that can determine the success of a company. PT. BarumunAgro Sentosa is a company that owns palm oil plantations and mills. This study aims to analyze the methodGoal Programming and its completion in production planningCrude Palm OilandCrude Palm Kernel Oil in the period January – December 2022 Completion of the methodGoal Programming in optimizing the production of CPO and CPKO in this study using the help of LINDO software (Linear Interactive Discrete Optimizer). Completion of this method first performs a projection or forecast of the number of requests obtained from the previous period's demand data with Minitab software. The results obtained from this study are that the optimal amount of CPO production for the period January - December 2022 is 74,803,459 kg from the initial target of 73,420,955 kg and for the optimal amount of CPKO production for the period January - December 2022 is 7,058,777 kg from the initial target of 5,937. 531 kg.. The total production of CPO and CPKO has no deviation so that the production of CPO and CPKO can be said to be optimal.
Accuracy of the Moving Averages and Deseasonalizing Methods for Trend, Cyclical and Seasonal Data Forecasting Saragih, Yoga Fromega; Darnius, Open
JMEA : Journal of Mathematics Education and Application Vol 2, No 3 (2023): Oktober
Publisher : JMEA : Journal of Mathematics Education and Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jmea.v2i3.13735

Abstract

Forecasting or forecasting is an attempt to predict future conditions based on past state data. Moving Averages or moving average is a forecasting method that calculates the average value of a time series and then uses it to estimate the value in the next period. Deseasonalizing is part of the decomposition method which is included in the time series method. In this study, the Moving Average method and the Deseasonalizing method were used. The use of these two forecasting methods is to determine the accuracy of the forecasting method which is more accurate and close to the Mean Absolute Error (MAE) and Mean Squared Error (MSE) values. In this study the procedures used were problem identification, problem formulation, observation, data analysis and conclusion. The data taken in this study is data that contains trend, cyclical, and seasonal. For data containing trends on the moving averages method 15245.28 and 1430419308, for the Deseasonalizing method 28121.9504 and 1204814887. For Cyclical data on the Moving Averages method 4454.314465 and 28200197.22 for the Deseasonalizing method 13357.71283 and 254833253.4. For Seasonal data on Moving Averages 126.3839286 and 25479.38393 for the Deseasonalizing method 244.9971767 and 75372.32397. And for data containing these three patterns in the Moving Averages method 193.5385 and 65781.02 for the Deseasonalizing method 901.9566 and 1351418. From these results it can be concluded that the most effective trend data is the Deseasonalizing method, for Seasonal data the most effective method is the Moving Averages method, and for Cyclical Data the most effective method is the Moving Averages. Meanwhile, for data containing the three data patterns is the Moving Averages method.
Implementation of Branch and Bound Algorithm to Solve the Travelling Salesman Problem at PT Jasa Harapan Barat Sitanggang, Fetrisia Ayu Ashari; Napitupulu, Normalina
JMEA : Journal of Mathematics Education and Application Vol 2, No 3 (2023): Oktober
Publisher : JMEA : Journal of Mathematics Education and Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jmea.v2i3.17095

Abstract

In the industrial world, every industrial company wants to get maximum profit. One way to increase profits is to minimize distribution costs. PT Jasa Harapan Barat is one of the bottled beverage distributor companies Cap Badak which is not only known in the city of Pematang Siantar, but throughout North Sumatra, even outside North Sumatra. So, the right minimum trajectory is needed so that distribution becomes faster. This minimum path problem is included in the Traveling Salesmen Problem (TSP). One way to solve TSP is by using the Branch and Bound algorithm. With data obtained from interviews and direct observations, it was obtained that solving TSP with the Branch and Bound algorithm obtained minimum paths and the total minimum path was 25.49 km. The search for the minimum path is done with the help of WINQSB software, where the length of the path of each distributing vertex is taken from google maps. And if you apply the Branch and Bound Algorithm to solve the Traveling Salesman Problem at PT Jasa Harapan Barat, the distribution cost will be cheaper for Rp. 15,093 for each distribution of Cap Badak drinks.

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