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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 4 Documents
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Search results for , issue "Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020" : 4 Documents clear
Determination of Deposit Insurance Premium (LPS): Merton’s Option Theory with Co-Insurance Consideration Pandiangan, Naomi
Operations Research: International Conference Series Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i2.24

Abstract

Indonesia is a developing country that implements a deposit insurance system. Deposit Insurance Agency or LPS is an Indonesian deposit insurance established in 2004, which is Indonesian still unfamiliar with LPS, both among researchers, and the general public. Almost all deposit insurance in every country including Indonesia has the same problem, the problem is how to calculate premiums and how to avoid moral hazard by banks, therefore in this study will discuss how to determine premiums from the development of Black-Scholes option theory (1973) conducted by Merton (1977). To prevent banks from engaging in moral hazard, co-insurance is considered in this study, which is banks take the risk to anticipate 'excessive risk-taking' behavior. that occurs if the value of the asset is smaller than value of the deposit after joining the insurance program. So it is expected to encourage banks to beware.
Identification of Pathogenic Bacteria on Carp Commodities (Cyprinus carpio) at Quality Control and Fishery Product Safety Agency (BKIPM) of Bengkulu Wibowo, Risky Hadi
Operations Research: International Conference Series Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i2.72

Abstract

Carp (Cyprinus carpio) is a type of freshwater fish that is widely cultivated. The increase in the amount of production and trade in freshwater fishery commodities both for consumption in Bengkulu will potentially increase the risk of entry and spread of pests and diseases in fish, which at the same time will be a threat that can endanger and damage the sustainability of fishery biological resources. Bacteria that infect fish can inhibit the expected production targets, which is an outbreak of pathogenic fish disease caused by bacteria. This study aims to identify pathogenic bacteria that infect Carp (C. carpio). Carp were obtained from fish traders at Panorama Market, Bengkulu City. Carp samples were selected based on clinical symptoms that were no longer healthy. Isolation of bacteria from Carp’s organs using Triptic Soy Agar (TSA) media. The isolates were screened by morphological characters and biochemical test. The results of this study showed that total of 2 bacteria were isolated. Based on biochemical tests carried out such as the Simmons Citrate test, Triple Sugar Iron Agar, Oxidative-Fermentative, Motility Indol Ornithine, Lysine Iron Agar, MR-VP, urea, catalase, oxidase, gelatin, confectionery test, and Rimmler-Shotts test, pathogenic isolates Sp 1. in the sample have a close relationship with Plesiomonas shigelloides while the pathogenic isolates Sp 2. and Sp 3. have a close relationship with Aeromonas hydrophila.
Antibacterial Activities of Pseudomonas orientalis APD 16 Isolate Sponge-Associated Aplysina sp. from Enggano Island Against Escherichia coli and Staphylococcus aureus Wibowo, Risky Hadi
Operations Research: International Conference Series Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i2.74

Abstract

Sponge is one of the invertebrates from the Porifera phylum. Sponge bodies have structural complexity with different cell layers. The sponge has many pores (ostium) on the surface of their body as a filter feeder. Sponge is recognized as organisms that have the potential because they can produce metabolites. Secondary metabolites produced by sponges are the result of the association of sponges with bacteria. The sponge used in this study is the Aplysina sp. sponge collected from Enggano island, Bengkulu Province. Aplysina sp. sponge is known to contain metabolites with antibacterial, antifungal and cytotoxic activity on cancer cells. This study aims to identify of potential isolate associated with Aplysina sp. sponge collected from Enggano island. Isolation of bacteria from Aplysina sp. sponge using Sea Water Complete (SWC) media. The isolate was screened by antagonistic test, morphological characters, Gram-staining, biochemical test and molecular identification. Based on the antagonistic test, APD 16 isolate could inhibit Escherichia coli and Staphylococcus aureus in Vitro. APD 16 isolate was identified molecularly using of 16S rRNAgenes analysis and it genetically close with Pseudomonas orientalis.
Use of ARIMA-GARCH Model to Estimating Value-at-Risk in Gudang Garam (GGRM) Stock Simanjuntak, Alberto
Operations Research: International Conference Series Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v1i2.75

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 possible losses. One way to calculate risk is to use Value-at-Risk (VaR). Since 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 VaR calculations using time series analysis. The purpose of the study was to determine the Value-at-Risk value of Gudang Garam Tbk.’s (GGRM) shares using time series analysis. The data used for this research is the daily closing price of shares for three years. At 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 and variance values obtained from the model are then used in calculating the VaR of GGRM shares. Based on the results of the study, it was found that the GGRM stock has a VaR of 0.069598. In other words, if an investment of IDR 1,000,000.00 is made for GGRM shares for 37 days (5% of 747 days), the investment period with a 95% confidence level, the maximum loss that may be borne by the investor is IDR 69,598.00.

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