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International Journal of Global Operations Research

ijgor
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Published by Indonesian Operations Research Association

ISSN : 27231747 EISSN : 27221016 DOI : https://doi.org/10.47194/ijgor

Core Subject : Economy, Science, Education, Engineering,

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

International Journal of Global Operations Research (IJGOR) is published 4 times a year and is the flagship journal of the Indonesian Operational Research Association (IORA). It is the aim of IJGOR 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. Topics Covered: Computational Intelligence Computing and Information Technologies Continuous and Discrete Optimization Decision Analysis and Decision Support System Applied Operations Research in Education Engineering Management Environment, Energy and Natural Resources Financial Engineering Applied Operations Research inGovernment Heuristics Industrial Engineering Information Management Information Technology Inventory Management Knowledge Management Logistics and Supply Chain Management Maintenance Manufacturing Industries Applied Operations Research in Marketing Engineering Markov Chains Mathematics Actuarial Sciences Military and Homeland Security Networks Operations Management Organizational Behavior Planning and Scheduling Policy Modeling and Public Sector Applied Operations Research inPolitical Science Production Management Applied Operations Research inPsychology Queuing Theory Revenue & Risk Management Services management Simulation Applied Operations Research inSociology Applied Operations Research inSports Statistics Stochastic Models Strategic Management Systems Engineering Telecommunications Transportation And so on

Arjuna Subject : Umum - Umum

Articles 174 Documents

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Determination of Pure Health Insurance Premiums Using Generalized Linear Models (GLM) with Poisson Distribution Oktaviani, Devani; Zahra, Nabila; Halim, Nurfadhlina Abdul
International Journal of Global Operations Research Vol. 5 No. 2 (2024): International Journal of Global Operations Research (IJGOR)m May 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i2.308

Insurance companies need a method to help companies determine premium prices that are appropriate to the risks they face. In other words, it is also necessary to know the variables that influence premium prices using Generalized Linear Models (GLM) by generalizing the linear regression model to model the relationship between the dependent variable and the independent variable. The aim of this research is to determine the variables that influence premium prices and determine the pure health insurance premium using the GLM method.

Analysis of Policy Strategy for Empowerment of Fisherman in Teluk Village, Labuan Sub-District, Pandeglang Regency Jumiati, Ipah Ema; Budiati, Ayuning
International Journal of Global Operations Research Vol. 5 No. 1 (2024): International Journal of Global Operations Research (IJGOR), February 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i1.287

The community empowerment approach is sought to provide guidance for the sustainability of the livelihoods and lives of the fishing communities of Teluk Village, Labuan District, Pandeglang Regency, especially after being hit by the tsunami (22/12/2018) and the Covid-19 pandemic. Ecosystem preservation also requires commitment from stakeholders. The policy strategy is the government's task that needs to be analyzed, while the community has strong social capital, as a form of survival in facing opportunities, challenges and threats in the management of marine and fishery resources. This study aims to analyze the policy strategy for empowering fishermen in Teluk Village, Labuan District, Pandeglang Regency. The key theory used is the concept of strategy according to Hunger-Wheelen (2003: 9), through observing the external environment to describe opportunities and threats, then observing the internal environment of the organization to describe strengths and weaknesses known as Strengths, Weaknesses (weaknesses). Opportunities (opportunities), and Threats (threats). The approach used in this research is descriptive qualitative. Through this approach it is intended to be able to take a full picture of various phenomena that aim to describe, summarize various conditions, various situations or various social realities of empowering the fishing community in Teluk Village, Labuan District, Pandeglang Regency. The results of the study show that the policy strategy for empowering fishermen in Teluk Village refers to strengthening the internal and external sources of the Pandeglang Regency Maritime Service organization, including efforts in the field of empowering fishermen by carrying out various fisheries business development programs, carrying out fishermen technical guidance for business groups with fishermen. Furthermore, monitoring and evaluation, as well as carrying out reports. The suggestion that the researchers put forward is to increase various efforts to empower fishermen in the Bay Village by encouraging fishermen's involvement in accessing various institutional fishermen empowerment programs and revitalizing various facilities and infrastructure that require development and repair due to the tsunami disaster.

Inventory Control of Vaccine Products in Pharmaceutical Company Using The Economic Order Quantity Model and Monte Carlo Simulation Rahmadini, Nurhaliza; Supian, Sudradjat; Napitupulu, Herlina
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.257

Health is a basic need in human life. People spend a lot of money to maintain their health. One of the preventive health service options is to vaccinate. Indonesia is a country that can produce its own vaccines with its local pharmaceutical companies. The company faces stiff competition in today's rapidly growing market. Therefore, evaluation and assessment are needed to measure the progress of the company's development. One useful assessment is a company's financial review. Inventory control ensures that the planned approach can minimize costs without disrupting the production process. This research simulates data of demand and analyzes the inventory control based on simulated data. The object used in this research is the inventory of products of pharmaceutical companies. The data used is secondary data such as data of product quantity sold per period, purchasing cost, order cost, holding cost, shortage cost, and lead time. The method used for inventory control is Economic Order Quantity (EOQ) model and Monte Carlo simulation. The simulation results on the monthly demand for vaccine products show that the total demand for one year is 3.394.805 vials for Vaccine A, 1.320.900 vials for Vaccine B and 107.345 for Vaccine C. Based on simulated data processing, calculations using the probabilistic EOQ model result in total inventory costs of Rp.456.918.008.386,14 for Vaccine A, Rp 218.292.795.949,34 for Vaccine B, and Rp. 9.177.930.319,05 for Vaccine C.

PT Matahari Department Store TBK Income Statement Analysis Putra, Fachrul Ananda; Pangestu, Rizcki
International Journal of Global Operations Research Vol. 5 No. 3 (2024): International Journal of Global Operations Research (IJGOR), August 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i3.326

This research aims to find out how each income variable contributes to total income and analysis of financial performance at PT Matahari Department Store Tbk (Matahari), which is one of the leading retail companies in Indonesia that provides clothing, accessories, beauty and household products using the ratio financial Return On Investment (ROI), Net Profit Margin (NPM), Total Asset Turnover (TATO) from 2019 to 2023, then financial performance using the Du Pont approach analysis. This research uses a qualitative descriptive research method. And from the research results we can show that the condition of the profit and loss report at PT Matahari can be said to be quite good even though there are fluctuations in the contribution of income and total income variables and are in a negative condition. With the du pont system analysis, financial performance has increased even though it is still in a negative condition too. This is influenced by the percentage of net profit or NPM which experiences a negative decrease in losses and is followed by an increase in the TATO value.

Application of the Collective Risk Model to the Number of Claims with a Negative Binomial Distribution and the Size of Claims with a Discrete Uniform Distribution Syifausufi, Syavira; Putri, Aulianda Anisa
International Journal of Global Operations Research Vol. 5 No. 2 (2024): International Journal of Global Operations Research (IJGOR)m May 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i2.303

An insurance claim is a form of request from the policy holder to obtain protection against financial losses due to a risk that occurs. Claims that occur every time there is a risk are called individual claims, while the total of individual claims during one insurance period is called aggregate claims. Claims are an important factor in optimizing insurance company expenses, where one of the calculations that insurance companies need to know based on claims is aggregate loss. Aggregate loss is the total loss in a period experienced by policy holders covered by an insurance company. This study aims to determine the average and variance of claims for the number of claims (frequency) with a Negative Binomial distribution and the amount of claims (severity) with a Discreate Uniform distribution in claim payments according to all types of guarantees and the nature of PT injuries. Jasa Raharja (Persero) Purwakarta Representative during the 2018-2020 period. This research uses a collective risk model and the help of Easyfit software to determine the best distribution for the number and size of claims. The results of the research show that from the recapitulation data of claim payments according to all types of coverage and nature of injury in PT. Jasa Raharja (Persero) Purwakarta Representative during the 2018-2020 period, with the number of claims having a Negative Binomial distribution and the amount of claims having a Discrete Uniform distribution, the average aggregate claim occurrence was IDR with a variance of IDR during the 2018-2020 insurance period.

Potential Analysis of Drug Interactions in Schizophrenia Cases At One of the Bandung District Pharmacy, Indonesia Herliany, Yane Srie; Nurdin, Hari
International Journal of Global Operations Research Vol. 5 No. 1 (2024): International Journal of Global Operations Research (IJGOR), February 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i1.291

Schizophrenia is a heterogeneous syndrome of thought disturbances, delusions, hallucinations, emotional disturbances, decreased cognitive function and disturbed psychosocial functions. Treatment of schizophrenia aims to prevent hospitalization, ensure the patient's symptoms are stable and independent such as work or school. The purpose of this study was to determine the potential for drug interactions in schizophrenia cases based on their mechanism of action and severity. This research method is a descriptive study using data collected retrospectively on prescription drug data sheets in the pharmacy. The collected data were analyzed quantitatively and qualitatively. The results of the study from a total of 133 prescriptions found potential drug interactions in 509 cases. Drug interactions based on the mechanism of action, pharmacodynamics were found in 494 cases and 15 cases of pharmacokinetic . Based on the level of severity, there were interactions with 15 cases of mild severity, 287 cases of moderate severity and 217 cases of severe severity

Average and Risk-Return Analysis of Cryptocurrencies Using ARMA-GARCH Models Syaâ€™imaa.HS, Audrey Ariij; Parmikanti, Kankan; Riaman, Riaman
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.214

Cryptocurrency is a digital currency that is created through encrypted cryptography with complex algorithm and connected to each other on the blockchain system. Cryptocurrencies are widely used as investment instruments for financial assets like stocks. Similar to stocks, cryptocurrencies have a high risk â€“ high returns characteristic, but the fluctuation of cryptocurrencies are more dynamic. Professional investors would do a volatility analysis of cryptocurrencies that potentially give the best returns. Returns assessment usually refers to the average value or expected return, while the estimated investment risk can be seen and analyzed from the volatility value. The study aimed to analyze the average and volatility of cryptocurrencies. This research was a case study done on five cryptocurrencies that are included at Top Gainers of 30 days update lists, in September 2022. The period is January 1, 2019 â€“ September 30, 2022. The ARMA-GARCH models using three types of GARCH models, those are SGARCH(1,1), IGARCH(1,1), and TGARCH(1,1) were used for analysis. Based on the results of this research, the best ARMA-GARCH model for cryptocurrency Quant, XRP, Stellar, Monero, and Decred is ARMA(1,0)-SGARCH(1,1), ARMA(32,0)-TGARCH(1,1), ARMA(0,14)-SGARCH(1,1), ARMA(1,4)-TGARCH(1,1), and ARMA(1,0)-SGARCH(1,1). Best expected return with the lowest volatility value is owned by Monero (XMR). The research can be used by investors as a consideration in investing decision-making to cryptocurrencies.

The Best Compromise Solution for Multi-objective Programming Problems Gebreel, Alia Youssef
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.241

This paper focuses on multi-objective optimization problems that are an important part of operations research. This part is concerned with mathematical optimization problems involving two or more interdependent objectives to be optimized simultaneously. Thus, there is not a single optimal solution for multi-objective problems, but a set of solutions that represents the compromise (Pareto-optimal, efficient, non-dominated, trade-off, or non-inferior) solutions and can be visualized as Pareto front in the objective space. The best solution of this set has the shortest distance to the ideal (utopian) solution, whereas the ideal solution optimizes all objective functions, which often cannot be found. The main contribution of this paper is to introduce some methods to find the best compromise solution. These methods depend on new calculations for the normal of objectives. They can help to reduce the overall computational distance of the searching process. Therefore, they are flexible and stable. Besides, some numerical examples are presented to demonstrate the effectiveness of proposed methods with discussing their similarities and differences. The experimental results show that the proposed methods are effective and efficient for many different multi-objective (convex and non-convex) problems.

Pension Fund Calculations for Regular Retirees Using the Projected Unit Credit Method and the Individual Level Premium Method in the Case Study PT Dynacast Indonesia. Hukama, Atha; Pangestu, Rizcki; Laksito, Grida Saktian
International Journal of Global Operations Research Vol. 5 No. 3 (2024): International Journal of Global Operations Research (IJGOR), August 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i3.323

The pension program provider requires actuarial valuation to estimate the necessary fund amount for pension payments. This research employs the projected unit credit and individual level premium methods. The findings indicate that the valuation of pension benefits, assuming a career average salary, is lower compared to other salary assumptions. Conversely, the final valuation of project unit credit using the individual level premium method is smaller than that of the projected unit credit method, which is more suitable for participants in the pension funding program. A pension fund program represents a form of future planning aimed at ensuring the well-being of employees during retirement. It embodies a company's responsibility towards employees who have dedicated themselves during their working years. Such a program offers a sense of security regarding an employee's financial future post-retirement and fosters peace of mind, knowing that their well-being in old age is assured.

Mathematical Modelling of Inventory Costs in Supply Chains with Horizontal Cooperation Zahara, Chasna; Mardlijah, Mardlijah
International Journal of Global Operations Research Vol. 5 No. 2 (2024): International Journal of Global Operations Research (IJGOR)m May 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i1.283

Efficiency in the supply chain has become very important for companies in the era of increasingly fierce business competition. This has encouraged some companies to start implementing the concept of collaboration between companies or commonly called horizontal cooperation. Horizontal cooperation is important because companies need to work together to manage complex supply chains. To manage production in a collaborative supply chain requires designing a cost-effective model. The design of this model is expected to optimise inventory costs to achieve common goals in horizontal cooperation. This model is a form of linear programme consisting of objective function and constraint function. The objective function is to minimise the inventory cost in a four-tier supply chain with horizontal cooperation on post-production final storage at the production level only. The model was tested with 3 suppliers, 3 materials, 3 factories, 4 products, 3 distributors, and 3 consumers. The model with horizontal cooperation resulted in a total inventory cost of 1,349,830. This amount is 8% lower than the total inventory cost without horizontal cooperation. Thus, horizontal cooperation in the supply chain drastically reduces inventory costs throughout the supply chain.

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Editorial Address Jl. Merkuri Timur VI No. 1, RT. 007, RW. 004, Manjahlega, Rancasari, Kota Bandung, Jawa Barat, INDONESIA

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Contact Name
-

Contact Email
ijgor.iorajournal@gmail.com

Phone
+6285841953112

Journal Mail Official
ijgor.iorajournal@gmail.com

Editorial Address
Jl. Merkuri Timur VI No. 1, RT. 007, RW. 004, Manjahlega, Rancasari, Kota Bandung, Jawa Barat, INDONESIA

Location
Kota bandung,

Jawa barat

INDONESIA