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Operations Research: International Conference Series
Published by Indonesian Operations Research Association
ISSN : 27231739     EISSN : 27220974     DOI : https://doi.org/10.47194/orics
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics
Operations Research: International Conference Series (ORICS) is published 4 times a year and is the flagship journal of the Indonesian Operational Research Association (IORA). It is the aim of ORICS to present papers which cover the theory, practice, history or methodology of OR. However, since OR is primarily an applied science, it is a major objective of the journal to attract and publish accounts of good, practical case studies. Consequently, papers illustrating applications of OR to real problems are especially welcome. In real applications of OR: forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling. In a wide variety of environments: community OR, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation. In technical approaches: decision support systems, expert systems, heuristics, networks, mathematical programming, multicriteria decision methods, problems structuring methods, queues, and simulation.
Arjuna Subject : Umum - Umum
Articles 5 Documents
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Search results for , issue "Vol 1, No 4 (2020)" : 5 Documents clear
Adomian Decomposition Method and The Other Integral Transform Ira Sumiati; Sukono Sukono
Operations Research: International Conference Series Vol 1, No 4 (2020)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i4.151

Abstract

The Adomian decomposition method is an iterative method that can be used to solve integral, differential, and integrodifferential equations. The differential equations that can be solved by this method can be of integer or fractional order, ordinary or partial, with initial or boundary value problems, with variable or constant coefficients, linear or nonlinear, homogeneous or nonhomogeneous. This method divides the equation into two forms, namely linear and nonlinear, so that it can solve equations without linearization, discretization, perturbation, or other restrictive assumptions. The basic concept of this method assumes that the solution can be decomposed into an infinite series. This method decomposes the nonlinear form (if any) of the equation with the Adomian polynomial series. This decomposition method can be combined with various integral transform, such as Laplace, Sumudu, Elzaki, and Mohand. The main idea of this technique assumes that the solution can be decomposed into an infinite series, then applies the integral transform to the differential equation. The main advantage of this technique is that the solution can be expressed as an infinite series that converges rapidly to the exact solution. This paper aims to combine the Adomian decomposition method with the new integral transform introduced by Kumar et al. (2022). This integral transform is called the Rishi transform. A scheme for solving fractional ordinary differential equations using the combined method is presented in this paper.
Optical Store Banten Optical Profit Loss Statement Fadia Irsya Septiana
Operations Research: International Conference Series Vol 1, No 4 (2020)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i4.152

Abstract

Banten Optical Store is an outlet that carries out business activities in the eyewear sector. The Banten Optical store generates its main income from the sale of glasses, but this shop is still difficult to find out. Analysis of the profit from its sales. Therefore, a profit and loss financial statement was made to analyze the profit of the Banten Optical Store in the period January 2022 and February 2022. In making this report, the method used was collecting data from the store which included revenue and assets. This profit and loss financial statement can also help store owners to find out the income from store profits.
Price Determination of Agricultural Insurance Premium Based on Rainfall Index With Black-Scholes Model Dimas Aditya Prasetyo; Luki Setiawan
Operations Research: International Conference Series Vol 1, No 4 (2020)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i4.153

Abstract

This article discusses the use of the Black-Scholes model to calculate the price of agricultural insurance premiums based on the rainfall index. The Black-Scholes model is one of the models used to determine option prices. The research method used is studying the material through mathematics books and journals and collecting secondary data. The data used in this study are rainfall data and rice production data in Magelang City from 2019 to 2020. Based on the results and discussion, the quarterly rainfall data that has a strong correlation are quarterly rainfall one and three. For the reference size with the latest rainfall data (319.5 mm) the premium obtained is IDR 3,557,321.00 per hectare, while for the reference size with the average rainfall data (1094,725 mm) the premium obtained is IDR 623,387. ,00 per hectare. Based on the calculation results, the higher the percentile value, the higher the premium value for the two reference sizes.
Application of ARIMA-GARCH Model to Estimating Expected Shortfall in BMRI Stocks Alberto Simanjuntak
Operations Research: International Conference Series Vol 1, No 4 (2020)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i4.149

Abstract

Stocks are one of the best-known forms of investment and are still used today. In stock investment, it is necessary to know the movement and risk of loss that may be obtained from the stock investment so that investors can consider the possibility of profit. One way of calculating risk is to use the Expected Shortfall (ES). Because the stock movement is in the form of a time series, a model can be formed to predict the movement of the stock which can then be used for ES calculations using time series analysis. The purpose of the study was to determine the expected shortfall value of BMRI shares using time series analysis. The data used for this research is the daily closing price of shares for three years. In the time series analysis stage, the models used in predicting stock movements are Autoregressive Integrated Moving Average (ARIMA) for the mean model and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) for the volatility model. The average value and variance obtained from the model are then used in calculating the ES on BMRI stock. Based on the results of the study, it was obtained that BMRI's stock had an ES of 0.008116. This means if an investment is made for BMRI shares of IDR 1,000,000.00 for 37 days (5% of 751 days) for an investment period with a 95% confidence level, the expected loss to be borne by the investor is IDR 8,116.00.
Cash Flow Report RT 05/RW 22 Jakasampurna Village, Bekasi West for the 2020 Period Azizah Rini Widyani
Operations Research: International Conference Series Vol 1, No 4 (2020)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i4.150

Abstract

The importance of the cash flow statement to see changes in net assets is sometimes still not realized by institutions or small organizations. For example, residents of RT 05/RW 22 Jakasampurna Village, West Bekasi. In this paper, a cash flow report for RT 05/RW 22 Jakasampurna Village, West Bekasi will be prepared. With the aim of presenting valid information related to cash disbursements and receipts in the 2020 period. The method chosen is the preparation of cash flow reports directly with data analysis using descriptive methods. The results of the analysis show that the final amount of cash for the 2020 period has increased from the 2019 period with a ratio of 1,207. This means that the value of their current assets includes at least the amount of their short-term liabilities.

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