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All Journal Jurnal Sains Natural
Lestari, Natasya Dyahayu
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Chemical Engineering, Chemistry & Bioengineering Mathematics Nursing Physics Public Health

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Optimasi Penjualan Warung Makan Solo Menggunakan Progam Linier dengan Metode Simpleks Lestari, Natasya Dyahayu; Hamdi, Ahmadil; Saofitri, Saofitri; Alfian, Muhammad Rijal; Maharani, Andika Ellena Saufika Hakim
JSN : Jurnal Sains Natural Vol. 3 No. 2 (2025): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i2.710

Abstract

Food stalls are one form of culinary business that faces challenges in managing limited raw materials to maximize profits. This study uses a linear programming method with a Simplex approach to optimize the profits of Solo food stalls that sell three main menus: fried rice, fried noodles, and meatballs. The optimization model is designed by considering the limitations of raw materials such as vegetables, eggs, chicken, oil, sauce, and spices, as well as the selling price and cost of raw materials per portion. In this case, we use manual and software analysis, namely by using POM-QM for Windows. The results of manual and software analysis show the same results, namely by producing 25 additional packages of fried rice and 33.33 packages of meatballs. Because the requested results use integer numbers, we perform branch and bound analysis to produce the maximum value with all values ????of x1, x2, x3 are decimal numbers. The optimization results show that the Simplex method can determine the combination of the number of portions of each menu optimally to achieve maximum profit without violating resource constraints. Thus, this article was created so that we can determine the maximum profit with the availability of existing raw materials and with the capacity that traders have to make it easier for traders to manage.
Simulasi SIR Kecanduan Media Sosial Mahasiswa FMIPA UNRAM dengan Metode Euler dan Heun Lestari, Natasya Dyahayu; Arimanda, Abi Rizka Yulia; Nisa, Gina Agisna
JSN : Jurnal Sains Natural Vol. 3 No. 2 (2025): Agustus
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i2.716

Abstract

Social media has become an important part of daily life, especially among university students. The ease of access to information and communication through digital platforms brings both positive and negative impacts, one of which is the increasing addiction to social media. This study aims to analyze social media addiction among students using the SIR (Susceptible-Infected-Recovered) model. This model categorizes the population into three groups: individuals susceptible to addiction ( ), individuals experiencing addiction ( ), and individuals who have recovered from addiction ( ). The model is solved using numerical methods, namely the Euler method and the Heun method, which are applied in simulations using MATLAB software. The simulation results show that social media addiction spreads within a population following a distinctive pattern, where the number of addicted individuals increases before eventually declining due to increased awareness and specific interventions. Additionally, the Heun method provides more accurate solutions compared to the Euler method, highlighting the importance of precise numerical approaches in modeling addiction dynamics. These findings offer insights into how social media addiction develops and how prevention and recovery strategies can be effectively implemented among students.
Co-Authors Arimanda, Abi Rizka Yulia Hamdi, Ahmadil Maharani, Andika Ellena Saufika Hakim Muhammad Rijal Alfian Nisa, Gina Agisna Saofitri, Saofitri