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Rihatul Janah
Universitas Billfath
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Mathematics Physics

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UJI KEOPTIMALAN METODE KSAM UNTUK MENYELESAIKAN SOLUSI AWAL MASALAH TRANSPORTASI Dhurun Mudhi Zayyan; Rihatul Janah; Aris Alfan
Jurnal Matematika dan Sains (JMS) Vol. 1 No. 1 (2021): Jurnal Matematika dan Sains (JMS)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55273/jms.v1i1.75

Abstract

Production activities are closely related to business actors or economic actors who must apply economic principles. It is from this principle that the optimization problem arises. This problem can be solved in various ways, one of which is linear programming. The transportation method is one of linear programming. This method is used to adjust the distribution from sources that provide the same product to the destination optimally. The method of transportation is an important component in its operations because it greatly affects the costs incurred in product distribution. The transportation method has two stages of completion, the first is determining the initial solution and the second is determining the optimal solution. KSAM is a new method formulated to solve transportation problems. The KSAM (Karagul-Sahin Approximation Method) method that was recently introduced is said to provide fairly good performance compared to other methods. From the transportation problem that is addressed in this article by comparing several methods, it is found that the KSAM method provides the best solution with a fairly large solution deviation. then this method can be used as a reference to get the optimal solution.
PERAMALAN HASIL PANEN JAGUNG DI KECAMATAN SOLOKURO DENGAN MENGGUNAKAN METODE TREND MOMENT Rihatul Janah; Ahmad Isroil; Aris Alfan; Mohammad Nurul Alamin; Shyndy Sarwinda Mas Ayu
Jurnal Matematika dan Sains (JMS) Vol. 1 No. 2 (2021): Jurnal Matematika dan Sains (JMS)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55273/jms.v1i2.102

Abstract

As an agricultural country, Indonesia relies on the agricultural sector in almost all of its territory, including in Solokuro District, Lamongan Regency, East Java. The agricultural sector is the mainstay sector because this sector plays a role in providing food for the community. The plant that is widely cultivated as well as a staple food in Indonesia is corn. Corn is the second food crop after rice, even in some areas growing corn is more profitable than growing rice. In Solokuro Subdistrict itself corn is a superior crop, to find out the amount of harvest in the future, you can use the trend moment method. The trend moment method is a method used for forecasting or prediction. The data used in this study is corn harvest data in Solokuro District in 2017-2019 to predict maize yields in Solokuro District in 2022.
Co-Authors Ahmad Isroil Aris Alfan Dhurun Mudhi Zayyan Mohammad Nurul Alamin Shyndy Sarwinda Mas Ayu