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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Sajaratud Dur
Universitas Islam Negeri Sumatera Utara Medan
Decision Sciences, Operations Research & Management Education Mathematics

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PENERAPAN METODE MULTIPLICATIVE DECOMPOSITION DALAM MEMPREDIKSI JUMLAH KASUS DBD DI RSU. HAJI MEDAN Yulanda Novita Zebua; Sajaratud Dur; Riri Syafitri Lubis
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.239

Abstract

DHF case are diseases caused by four types of dengue virus, where each type has its own characteristics and pattern of spread. The purpose of this study is to make predictions on DHF cases in the future. This study uses the Multiplicative Decomposition method, in which this method breaks down time series data into four patterns, namely trend, seasonality, cycles and error. This research was conducted at RSU Haji Medan using DHF case data from January 2017 to December 2021. The results showed that the Multiplicative Decomposition method has an MSE value of 0,0012 and a MAPE value of 0,23%, which means it has a very good accuracy value because less than 10%. The conclusion of the study is that the Multiplicative Decomposition method is a method in the good category in predicting future DHF cases
ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU TANDAN BUAH SEGAR (TBS) DENGAN METODE SIMULASI MONTE CARLO Cindy Artika; Sajaratud Dur; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.241

Abstract

The development of palm oil production is quite rapid in Indonesia. The method used to estimate inventory costs in this study is the Monte Carlo Simulation method. Monte Carlo simulation is used in structuring optimal raw material policies. The purpose of this research is to predict and optimize raw material inventory costs for the future. The results of the total cost of raw material inventory by Monte Carlo Simulation Calculations are smaller than the total cost of inventory by company calculations. The total cost of preparation using Monte Carlo Simulation Calculations is Rp. 16,873,743,694. Meanwhile, the total calculation preparation costs obtained by the company amounted to Rp. 17,207,020,022, and savings of Rp. 333,276,328
ANALISIS PEMILIHAN BIJI KOPI BERKUALITAS DENGAN MENERAPKAN METODE VIKOR Rini Ade Willana; Sajaratud Dur; Fibri Rakhmawati
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.587

Abstract

Indonesia is the fourth largest coffe producer in the world. One of the centers of coffee cultivation in Indonesia is Central Aceh, whichis located in Gayo Highlands, which cultivates Arabica coffee. The problems that occur at this time raise question from coffee farmer groups about determining the quality of coffee beans to be distributed. The purpose of this research is to determine the quality of the coffee beans that will be distributed by applying the VIKOR method. VIKOR is ranking method using a multi-criteria ranking index based on the proximity of the ideal solution and determining the ranking of the existing samples. There are four alternatives used by Gayo1, Gayo2,Gayo3, and P88. There area six criteria, namely water content, dirt content, seed aroma, seed color, seed size, and pests. After calculating the VIKOR method which show the lowestindex value, namely 0 is Gayo3 as the first rabk, value 0,065 is P88 second rank, value 0,085 is Gayo2 rank thind, and value 1 is for Gayo1
Co-Authors Cindy Artika Ismail Husein, Ismail Rakhmawati, Fibri Rini Ade Willana Riri Syafitri Lubis Yulanda Novita Zebua