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All Journal Journal of Mathematics Education and Application (JMEA) MES: Journal of Mathematics Education and Science Journal of Mathematics, Computation and Statistics (JMATHCOS)
Nasution, Putri Khairiah
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Education Mathematics

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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

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Kajian Metode Simulasi Monte Carlo Br Manik, Mawar Bonita; Nasution, Putri Khairiah; Suyanto, Suyanto; Yanti, Maulida
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.2994

Abstract

The Monte Carlo Simulation Method is one of the forecasting methods that uses random numbers, specifically through the use of a Linear Congruential Generator and mathematical equations for prediction, forecasting, estimation, and risk analysis. The Monte Carlo Simulation Method with one iteration has a high level of accuracy, as evidenced by previous research. The more iterations used, the more accurate the forecasting results. Therefore, the author is interested in examining how well the Monte Carlo Simulation Method with N iterations performs in forecasting. The study of the Monte Carlo Simulation Method with N iterations will be conducted on the forecast of the number of visitors to Fort Rotterdam. The aim of this research is to determine the accuracy of the Monte Carlo Simulation Method with N iterations for forecasting the number of visitors to Fort Rotterdam. The MAPE values from 2013 to 2018 using the Monte Carlo Simulation Method with N iterations sequentially are 16%, 13%, 13%, 12%, 1008%, and 31%. The forecasting ability from 2013 to 2016 falls into the good category, the forecasting for 2017 falls into the poor category, and the forecasting for 2018 falls into the fair category.
Penerapan Metode Dynamic Programming dan Fuzzy Linear Programming Dalam Mengoptimasi Keuntungan serta Jumlah Produksi Padi   Simbolon, Haris Miller; Nasution, Putri Khairiah; Mardiningsih, Mardiningsih; Zahedi, Zahedi
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.3263

Abstract

The Kebun Sayur Farmers Group, located in Sub-District Sidoarjo 2 Ramunia, Deli Serdang Regency, North Sumatra Province, is a group focused on rice production. Currently, Farmers groups are experiencing a lack of capital which results in limited resources. To overcome these challenges by optimizing inventory and production quantities so as to enable farmers to maximize their profits. Therefore, the methods used in this research are dynamic programming and fuzzy linear programming, with the application of these two methods can overcome existing problems.. The dynamic programming method increases the production of Ciherang rice by 3580 kg, Inpari 32 rice by 2430 kg, and Inpari 49 rice by 2130 kg, with an increase in production of Ciherang rice by 20.87%, Inpari 32 rice by 17.37%, and Inpari 49 rice by 14.76%, with a probability of profit of 8.33%. Using the fuzzy linear programming method, for a tolerance limit of 5%, the profit obtained is Rp 154.573.935,12 with a profit percentage of 4.89% and a λ-cut value of 0.488. If the tolerance limit is set to 10%, the profit obtained is Rp 156.888.371,28 with a profit percentage of 6.46% and a λ-cut value of 0.5  
Co-Authors Aghni Syahmarani Arbia, Rahmad Br Manik, Mawar Bonita Br Tarigan, Enita Dewi Elly Rosmaini Hartaty, Rembulan Marbun, Monika Mardiningsih Mardiningsih Nababan, Esther Sorta Mauli Open Darnius Rahmadani Rahmadani Rizwana, Annisa Rumahorbo, Yuli Saib Suwilo Sawaluddin Sawaluddin, Sawaluddin Simbolon, Haris Miller Suyanto Suyanto Syahputra, Muhammad Romi Telaumbanua, Tolona Berkat Lindung Yanti, Maulida Zahedi .