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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Agro Industri Perkebunan Lead Journal of Economy and Administration
Kurnia, Silvi
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences

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Karakterisasi Morfologi Tanaman Kopi Rakyat di Pulau Bangka Kurnia, Silvi; Ropalia, Ropalia; Zasari, Maera
Jurnal Agro Industri Perkebunan Vol. 11 No. 2 (2023)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jaip.v11i2.2717

Abstract

Coffee is a perennial plant planted on Bangka Island by farmers. Exploration of coffee plants was carried out to see several developed varieties that could be grown on Bangka Island. This study aims to determine the diverse morphological character, phenetic relationship, and variability of folk coffee plants in Bangka. This research was conducted in October 2021-April 2022 in Bangka, Central Bangka and South Bangka. This research was conducted using explorative and descriptive methods. Sampling is carried out randomly to determine the sampling location and data collection. The data from quantitative research were analyzed using variability, while phenetic relationships were analyzed using the UPGMA method (uneweighted pair group method with arithmetic mean) with the NTSYS-pc application (numerical taxonomy software and multivariate analysis system). The results of the analysis of phenetic relationships of qualitative characters resulted in a degree of similarity of coefficients at 53% within coffee of melabun, kota kapur, puput and paku. Analysis of quantitative and combined character phenetic relationships between coffee and puput resulted in a degree of co-efficiency similarity at 25% and 42%. The variability of quantitative character analysis is widespread on plant height and number of flowers per node.
The Relationship Between Financial Ratios, Company Growth, and Shareholder Value in Financial Statement Reporting Wiryamanta, Rafif Putra; Kurnia, Silvi; Hamada, Maurheen Queena; Nugraha, Viery Erlangga; Pandin, Maria Yovita R
Lead Journal of Economy and Administration Vol 4 No 1 (2025): Lead Journal of Economy and Administration (LEJEA)
Publisher : International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56403/lejea.v4i1.312

Abstract

This study examines the relationship between corporate expansion, crucial financial indicators, and the worth attributed to shareholders, specifically within companies listed on the Indonesia Stock Exchange. The financial metrics considered in this analysis are Return on Equity (ROE), the Debt to Equity Ratio (DER), and Earnings Per Share (EPS). A quantitative approach was adopted, involving the examination of financial statements spanning from 2018 to 2022. Multiple regression analysis was utilized to assess how independent variables affect shareholder value. The findings indicate that both ROE and company growth positively influence shareholder value, whereas a higher DER negatively impacts it. These results highlight the critical role of proficient management in optimizing equity utilization and managing debt to enhance company valuation. This study contributes to a deeper understanding of how financial ratios and growth interact to shape shareholder value. It offers recommendations for company leadership to prioritize boosting ROE and fostering sustainable growth while mitigating debt-related risks. Furthermore, it suggests that future studies could benefit from a broader sample and the inclusion of macroeconomic factors for more robust conclusions. Consequently, this research can inform sound investment choices and financial management approaches for businesses.
Dynamic Analysis of the Susceptible-Exposed-Infected-Hospitalized-Critical-Recovered-Dead (SEIHCRD) Juhari, Juhari; Kurnia, Silvi
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 8, No 2 (2023): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v8i2.22812

Abstract

This study discusses the dynamic analysis of the Susceptible–Exposed–Infected–Hospitalized–Critical–Recovered–Dead (SEIHCRD) model using the fourth order Runge-Kutta method. The data used in this study is original data on Infected, Hospitalized and Critical cases in Indonesia from August to October 2021. Dynamic analysis of the model is carried out by determining disease-free and endemic equilibrium points, local stability analysis of disease-free and endemic equilibrium points, and determine the basic reproduction number. The result of this analysis is that the number of new infection cases in Indonesia will decrease over time and the COVID-19 outbreak will end. Then a numerical simulation was carried out using the fourth order Runge-Kutta method in dealing with COVID-19 cases in Indonesia. The simulations and calculations show that the rate of contact of susceptible individuals with infected individuals is 0.06 per day, the rate of movement of individuals in the Exposed class to the Infected class is 0.14 per day, the probability of infected individuals being hospitalized with a value of 0.95, the probability that COVID-19 patients become critical and enter the Intensive Care Unit (ICU) with a value of 0.485, and the probability of a critical patient dying with a value of 0.25 affects the slope of Infected, Hospitalized and Critical cases in Indonesia. Where Infected cases will be sloping with an absolute error value of 28%, Hospitalized cases with an absolute error value of 20% and Critical cases with an absolute error value of 33%. This research provides information that it is estimated that the daily infection cases of COVID-19 will decrease and be close to zero. So that infected patients who must be hospitalized and admitted to the Intensive Care Unit (ICU) are also decreasing, it is hoped that the COVID-19 pandemic will not happen again
Co-Authors Hamada, Maurheen Queena Juhari Juhari, Juhari Maera Zasari Nugraha, Viery Erlangga Pandin, Maria Yovita R Ropalia, Ropalia Wiryamanta, Rafif Putra