Affandi, Aisyah
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Journal : Equiva

Pengoptimalan Biaya Distribusi Bahan Material Keramik Menggunakan Metode Least Cost Ziaulhaq, Muhammad Haikal; Affandi, Aisyah; Aritonang, Sovian
Equiva Journal Vol 2 No 2 (2024):
Publisher : Jurusan Matematika dan Teknologi Informasi

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Abstract

PT. Indah Bangunan is a ceramic distributor company located in Palu City. This study aims to determine the optimal transportation costs for ceramic distribution to improve operational efficiency. The steps taken include developing a transportation model based on actual data, determining an initial solution using the Least Cost method, and refining the solution with the Stepping Stone method to achieve optimal results. Based on the analysis, the initial solution obtained using the Least Cost method produced the same results as the optimal solution obtained through the Stepping Stone method, demonstrating that this approach is effective in minimizing transportation costs.
Analisis Komprehensif Pengaruh Faktor Sosial Terhadap Jumlah Kematian Pasien HIV : Analisis Regresi Poissson Dan Regresi Binomial Negatif Ziaulhaq, Muhammad Haikal; Affandi, Aisyah
Equiva Journal Vol 2 No 2 (2024):
Publisher : Jurusan Matematika dan Teknologi Informasi

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

Abstract

The Human Immunodeficiency Virus (HIV) poses a significant challenge for every country and remains one of the primary issues in global health, requiring serious attention. HIV is a virus that attacks the human immune system, weakening the body’s ability to combat infections. This study aims to analyze the influence of various social factors on the mortality rate of HIV patients in Indonesia using Poisson regression and Negative Binomial regression. These models are chosen because they are well-suited for count data, such as mortality rates. The research data includes information on the number of HIV-related deaths across various provinces in Indonesia, with social variables as predictors, such as population density, the percentage of elderly population, inadequate sanitation access, education levels, and unemployment rates.