International Journal of Global Operations Research
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
Articles
164 Documents
<![CDATA[Determination of the Contribution of the Reserve Fund for Flood Natural Disaster Management in the DKI Jakarta Region ]]>
<![CDATA[Nugraha, Dwita Safira]]>;
<![CDATA[Susanti, Dwi]]>;
<![CDATA[Sukono, Sukono]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 4 (2021): International Journal of Global Operations Research (IJGOR), November 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i4.88
<![CDATA[Floods are natural disasters that are quite difficult to predict. As a result, there are many losses both materially, morally and even to the point of taking lives. In Indonesia, one of the areas that experience flooding the most is DKI Jakarta. In early 2020, flooding was the biggest cause of loss in the region. The role of the people of DKI Jakarta is very important in collecting contributions to the reserve fund for disaster emergency response. Therefore, this study aims to estimate the amount of reserve fund contributions for community-based flood disaster management in the DKI Jakarta area based on the Collective Risk Model method approach, using Poisson and Log-Normal distributions, including parameter estimates  and (μ,σ) , resulting in an estimate of the expected magnitude of the risk of loss. Based on these expectations, the contribution amount can be calculated using the Individual and Collective Risk Model. The result of this research is the contribution of funds which is calculated based on the principle of expected value]]>
<![CDATA[Does the Covid-19 Outbreak Impacts On Economic Growth? An Evidence from Indonesia ]]>
<![CDATA[Aprina, Hilda]]>;
<![CDATA[Majid, M. Sabri Abd.]]>;
<![CDATA[Silvia, Vivi]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 3 (2021): International Journal of Global Operations Research (IJGOR), August 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i3.111
<![CDATA[This study aims to analyze the effectS of the COVID-19 pandemic, labor, domestic direct investment (DDI), AND foreign direct investment (FDI) on economic growth in Indonesia. The type of data used in this study is panel data, which is a combination of cross-section and THE time series data (Silvia, 2020). The cross-section data involves 34 provinces and time-series data covers the period from the first quarter of 2018 to the second quarter of 2021. The result found out that the regression coefficient of labor has a positive and significant effect at the 5 percent level, which means that if the number of workers increases by 1 percent, economic growth will increase by 0.03 percent. Furthermore, the FDI variable also has a significant and positive effect on economic growth in Indonesia. We can see in table 3.2 that the FDI variable is significant at the 5 percent level with a regression coefficient of 0.012, this means that an increase in FDI by 1 percent will accelerate economic growth by 0.012 percent. From the results of data processing obtained by the author, it can be seen that the DDI variable has a positive but not significant effect on economic growth in Indonesia, this can be seen from the p-value which is greater than 5 percent. The regression coefficient of -0.001 proves that the COVID-19 pandemic has a negative impact on economic growth in Indonesia. When the COVID-19 pandemic reached the territory of Indonesia, economic growth slowed by 0.001 percent.]]>
<![CDATA[Estimation of Reserve Funds for E-Banking Transactions using Operational Value-at-Risks ]]>
<![CDATA[Halim, Nurfadhlina Abdul]]>;
<![CDATA[Saputra, Moch Panji Agung]]>
<![CDATA[ International Journal of Global Operations Research Vol. 3 No. 1 (2022): International Journal of Global Operations Research (IJGOR), February 2022 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v3i1.124
<![CDATA[The “New Normal†state during the pandemic has made digital financial transactions important as an effort to reduce direct human interaction, to prevent the spread of the pandemic. The rate of financial transactions at banks has automatically increased, but in practice, several risks may occur about failed or incorrect digital transactions. Examples of digital transaction system risks are downtime and timeout services due to system failures, cyber-attacks, and system usage errors. These risks need attention from banking companies. One way to anticipate digital financial transaction failure happen is the readiness of a reserve fund that is used to cover the wrong amount of fund error in the bank's digital system. This research will discuss the estimation of operational reserve funds for digital banking financial transactions (e-banking) using the Operational Value-at-Risk (OpVaR) method, based on operational risk data for digital financial transactions to obtain the largest potential loss value from digital financial transaction activities at a bank. Based on calculations using the OpVaR method, it is known that the reserve fund required for the operational risk of digital financial transactions is IDR135,465,044,269.741. The results of this study show that the e-banking operational reserve fund is quite large due to the possibility of extreme losses. This provides a view to avoiding the worst risk of collapse due to an imbalance in the required reserve funds.]]>
<![CDATA[Determinants of Poverty in Indonesia: An Empirical Evidence using Panel Data Regression ]]>
<![CDATA[Firdaus, Adhityas]]>;
<![CDATA[Dawood, Taufiq C.]]>;
<![CDATA[Abrar, Muhammad]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 4 (2021): International Journal of Global Operations Research (IJGOR), November 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i4.90
<![CDATA[This study aims to analyze the effect of the rate of economic growth, average length of schooling, dependency ratio, and life expectancy on the percentage of poor people in Indonesia. This study uses panel data consisting of 34 provinces in Indonesia during the period 2016 to 2020. The analysis model used in this study is a panel data regression model. The results found in this study are variables that have a significant effect on the percentage of poor people in Indonesia are the average length of schooling, dependency ratio, and life expectancy. Meanwhile, the variable rate of economic growth has not had a statistically significant effect on the percentage of poor people in Indonesia. The variables of average length of school and life expectancy have a negative and significant effect on the percentage of poor people so that aspects of the quality of human resources represented by the level of education and health have an important role in poverty alleviation. Meanwhile, the dependency ratio has a positive and significant effect on the percentage of the poor, so various policies are needed to control population growth so that the productive population does not have too high a burden to bear the needs of the non-productive population.]]>
<![CDATA[A Bibliometric Analysis for Lebesgue Measure Integration in Optimization ]]>
<![CDATA[Rusyaman, Endang]]>;
<![CDATA[Munandar, Devi]]>;
<![CDATA[Chaerani, Diah]]>;
<![CDATA[Johar, Dwindi Agryanti]]>;
<![CDATA[Ashgi, Rizky]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 2 (2021): International Journal of Global Operations Research (IJGOR), May 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i2.58
<![CDATA[In solving mathematical problems so far, Riemann's integral theory is quite adequate for solving pure mathematics and applications problems. But not all problems can be solved using this integration, such as a discontinuous function that is not Riemann's integration. Lebesgue integral is an integration concept based on measure and can solve finite and unlimited function problems and be solved in a more general set domain. One of the bases of this integration is the Lebesgues measure includes the set of real numbers, where the length of the interval is the endpoints. The alternative use of this integral is widely used in various studies such as partial differential equations, quantum mechanics, and probabilistic analysis, requiring the integration of arbitrary set functions. This paper will show a comprehensive bibliometric survey of peer-reviewed articles referring to Lebesgue measure in integration. Search results are obtained 832 papers in the google scholar database and 997 papers using Lebesgue measure integration in optimization. It can also be seen that the research have 4 clusters and 3 clusters respectively with scattered keywords for each cluster. Finally, using bibliographic data can be obtained Lebesgues measure in integration and optimization supports many of the research and provides productive citations to citing the study.]]>
<![CDATA[Application of Centrality Measures in Determining Regional Development Priorities in the Graph Representation of Kalimantan Island ]]>
<![CDATA[Suyudi, Mochamad]]>;
<![CDATA[Adli, Fajrul Iqbal]]>;
<![CDATA[Supriatna, Asep Kuswandi]]>
<![CDATA[ International Journal of Global Operations Research Vol. 3 No. 1 (2022): International Journal of Global Operations Research (IJGOR), February 2022 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v3i1.119
<![CDATA[The relocation of the capital of the Republic of Indonesia to the Kalimantan raises new problems in regional development. In this paper the priority areas to be developed on the Kalimantan will be determined using Centrality Measures. The type of centrality measures used are degree centrality, leverage centrality, closseneess centrality, Jordan centrality, and betwenness centrality. The results show that Banjar, Ketapang, Sintang, Kutai Kertanegara, and Murung Raya areas are the areas that are central to the island of Kalimantan. Although the center of the island of Kalimantan, it is necessary to study the results of this paper with the actual distance of each region.]]>
<![CDATA[COMPARISON OF INDONESIA'S EXPORT-IMPORT WITH CHINA AFTER THE AGREEMENT ON AGRICULTURE (AoA) ]]>
<![CDATA[Setiawan, Mohamad Arief]]>;
<![CDATA[Setiawan, Perdi]]>;
<![CDATA[Kalfin, kalfin]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 3 (2021): International Journal of Global Operations Research (IJGOR), August 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i3.85
<![CDATA[The agricultural sector is the most important sector in the Indonesian and Chinese economies. The role of this sector is not only in international trade activities, but also plays a role in the domestic economy, including food sufficiency. The agricultural policies of Indonesia and China are not only oriented to increasing agricultural productivity for trade purposes but also to improving the standard of living of the people, especially farmers. The flow of economic liberalization brought by the World Trade Organization (WTO) has become a dilemma for Indonesian and Chinese agriculture. On the one hand, the WTO accession decision opens access to wider international trade, but on the other hand, both countries must protect their agriculture through the determination of prices for agricultural products by the government. This paper aims to find out the comparison of Indonesia's exports and imports with China in the field of trade in agricultural products after the implementation of the Agreement on Agriculture (AoA) or agricultural agreements which are part of the WTO from January 1, 1995, to the present. The results of the study obtained that the comparison of Indonesia's exports and imports with China was more optimal. From the research results, it can be used as a comparison for the government in determining further policies to get maximum results.]]>
<![CDATA[The Effect Of Labor Force, Investment, Labor Absorption On Gross Regional Domestic Products Of North Sumatra Province Agriculture ]]>
<![CDATA[Malau, Albert Gamot]]>;
<![CDATA[Afifuddin, Sya’ad]]>;
<![CDATA[Rahmanta, Rahmanta]]>;
<![CDATA[Lubis, Irsad]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 4 (2021): International Journal of Global Operations Research (IJGOR), November 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i4.114
<![CDATA[Economic growth can also be interpreted as a process of continuous change towards better conditions in a country/region. The rate of economic growth in the province of North Sumatra has increased. The increase in economic growth is indicated by the value of the Gross Regional Domestic Product (GRDP). The purpose of this study was to analyze the effect of the investment workforce, employment in the agricultural sector on the Gross Regional Domestic Product of North Sumatra Province. This study uses Time Series data with a time span of 2000-2020. Parameters are estimated using the 2 SLS (Two Stage Least Squares) method. Data processing using the Statistical Analysis System (SAS) Program version 9.2. The results of the study explain that (1) the population of North Sumatra is increased by 10 units, it will encourage an increase in the North Sumatran Workforce by 1.84 units per year. An increase in the number of employed by 10 units will increase the labor force in the agricultural sector by 4.4 units, an increase in labor absorption by 10 units has an impact on increasing the labor force by 2.9 units per year, and if the labor force in the agricultural sector last year increased by 10 units, it will increase the labor force in the sector. agriculture by 2.0 units, (2) North Sumatra Regional minimum wage is increased by 10 units it will encourage a decrease in labor absorption by 8.0 units per year. An increase in investment in the agricultural sector by 10 units will have an impact on increasing employment by 0.031 units. An increase in the number of undergraduate education by 10 units has an impact on increasing labor absorption by 19.7 units, for last year's employment in the agricultural sector by 10 units, it will result in an increase in employment in the agricultural sector by 0.3 units, (3) If interest rates are increased by 10 units will reduce investment in the agricultural sector by 9.3197 units. An increase in inflation of 10 units has an impact on an increase in investment of 2,640,178 units per year. An increase in Gross Regional Domestic Product in the agricultural sector by 10 units will have an impact on an increase in investment in the agricultural sector by 160.58 units per year, an increase in the total number of employees working over 15 years of age by 10 units, it will have an impact on an increase in investment in the agricultural sector by 35.96 units, and an increase in investment. last year by 10 units will have an impact on increasing investment by 1.5 units. (4) local taxes are increased by 10 units, it will increase the gross regional domestic product of the agricultural sector by 203.5407 units. The increase in domestic investors by 10 units has an impact on the increase in gross regional domestic product in the agricultural sector of North Sumatra by 0.19 units per year. An increase in foreign investors by 10 units will have an impact on an increase in gross regional domestic product in the agricultural sector by 0.82 units per year. will increase the Gross Regional Domestic Product of the agricultural sector by 6.0 units.]]>
<![CDATA[Optimization of the Mean-Variance Model Investment Portfolio in Five Mining Stocks Traded on the IDX ]]>
<![CDATA[fauziah, Guskenoly]]>
<![CDATA[ International Journal of Global Operations Research Vol. 2 No. 2 (2021): International Journal of Global Operations Research (IJGOR), May 2021 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v2i2.80
<![CDATA[The Mining and Energy sector is a major foreign exchange earner, provides the largest energy resource, and as an absorber of labor. In addition, most of the energy resources used in the Indonesian economy come from mining. namely oil and coal. Investment for mining and energy exploration in Indonesia needs to be a priority and continue to be encouraged to maintain the level of reserves as raw materials for future industrial development, including downstream. This study aims to measure the performance of investment portfolios in several stocks in the Mining and Energy sectors. The portfolio optimization method is carried out using the Mean-Variance model (Markowitz model). Based on the results of the analysis, it is obtained that the combination and proportion of capital allocation on several stocks in the formation of an investment portfolio that has better performance, where the optimum portfolio composition obtained a portfolio return of 0.000866205 with a portfolio variance of 0.000261104. In addition, the results of the analysis can be concluded that the return ratio can affect the model.]]>
<![CDATA[Estimation of Distribution Function Parameters for Cases of Risk of Mortality Rate due to Malnutrition and Unhealthy Sanitation in Indonesia ]]>
<![CDATA[Saputra, Moch Panji Agung]]>;
<![CDATA[Megantara, Tubagus Robbi]]>;
<![CDATA[Fitri, Sulidar]]>
<![CDATA[ International Journal of Global Operations Research Vol. 3 No. 1 (2022): International Journal of Global Operations Research (IJGOR), February 2022 ]]>
Publisher : <![CDATA[iora ]]>
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DOI: 10.47194/ijgor.v3i1.117
<![CDATA[Child undernutrition is a significant problem in Indonesia; persistently high rates of stunting, underweight and wasting. Data about malnutrition and sanitation that taken for this research is data of age-standardized death rate, measured per 100,000 individuals from unsafe sanitation and malnutrition in Indonesia. The purpose of this research is to determine the distribution function and estimate the parameter distribution, so the values can provide identification of risk events. The method used for this research is Maximum Likelihood Estimation (MLE) and Newton Raphson iterations. The distribution function formed is gamma and Generalized Pareto Distribution (GPD), respectively for sanitation and malnutrition problems in Indonesia. The projected probability of occurrence of the risk of death due to malnutrition tends to be low in the future. So that the risk classification of the mortality rate due to malnutrition is considered low based on the results of the probability distribution approach on the GPD function. While, the projected probability of occurrence of the risk of death due to sanitation tends to decrease in the future. Based on the graph, the risk value with a high probability is around 20. So, the risk classification of the mortality rate due to malnutrition is considered moderate based on the results of the probability distribution approach on this gamma function.]]>
