Yusnia Megasari
Universitas Islam Darul 'Ulum Lamongan

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Perencanaan dan Pengendalian Persediaan Obat Terlaris Pada Apotek Zakky Minhatin Nisaatus Sholikhah; Yusnia Megasari; Mohammad Syaiful Pradana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 8 No 2 (2022): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v8i2.4020

Abstract

This study aims to analyze the control of drug supplies at Zakky 3 pharmacies from December 2020 to January 2021. The data used are primary data and secondary data. Data collection methods used in this study are observation, interviews, and documentation. For drug procurement planning, in this study an analysis of the investment value was conducted to determine which drugs were included in groups A, B, and C. Furthermore, the Economic Order Quantity (EOQ) calculation was carried out to determine the number of economic orders, as well as the calculation of Reorder Point (ROP) for know the point of reordering drugs for the period of 2021. The results of the analysis show that in the ABC analysis of investments, 500 types of drugs are included in group A or 31% of all drugs, absorbing 78% of investment, group B with 496 types of drugs or 31% % of all drugs, absorbing 16 %% of investment. Meanwhile, group C with 612 types of drugs or 38%% of all drug item drugs only absorbed 6% of the investment. Also obtained are the results of EOQ and ROP calculations for the period of 2021. This calculation is useful for helping pharmacies in drug procurement so that there is a balance between service levels and costs.
Analisis Manajemen Ruas Di Simpang Empat Pasar Sidoharjo Lamongan Menggunakan Algoritma Genetika Yusnia Megasari; Mohammad Syaiful Pradana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A common problem in the traffic system is the inaccuracy of traffic lights on road conditions, often problems with these traffic lights cause traffic jams on roads, specifically at the intersection of four in Sidoharjomarkets, Lamongan district. In the section at the intersection of four Sidoharjo markets, the green light flashes in 3 phases, there are north, south, and east – westwhich are together, meaning that there are incompatible currents, namely two or more currents that are allowed to run together, potentially resulting in crowds. especially busy hours at the Sidoharjo market. Therefore, it takes traffic management to manage these problems. The use of Genetic Algorithm is used in this problem to find predictions for optimizing the cycle time phase of traffic lights. The results obtained are optimal for vehicle density of 30SSM/minute and red light delay time of 0.82 minutes