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International Journal of Global Operations Research
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 83 Documents
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Detecting Similarities in Posts Using Vector Space and Matrix Al Fataa Waliyyul Haq; Ema Carinia; sudradjat supian; subiyanto subiyanto
International Journal of Global Operations Research Vol 1, No 3 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.44

Abstract

This study discusses the application of two linear algebraic materials, namely vector and matrix spaces. The application of the two materials is related to an article, the writing can be in the form of an article, book, and so on. The writings examined in this study use example sentences made by the author. Two materials of linear algebra, namely the vector space and the matrix are used to analyze whether there is a similarity between the writing made with other writing. As a result, vector space and matrix can be used to detect similarities in a text.
Integration of Mobile Perceived Compatibility, Mobile Perceived Financial Resources, and Mobile Perceived System Quality with TAM in Virtual Hotel Operator Applications in Indonesia Graha Prakarsa; Vani Maharani Nasution; Irena Nurul Ramadhiana; Ari Ramdan Ginanjar
International Journal of Global Operations Research Vol 1, No 2 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i2.36

Abstract

The development of current technology makes people want to book hotel rooms that suit their own needs and desires, then the VHO application in Indonesia comes. This causes the need for a model that is able to measure the extent to which the level of acceptance of VHO applications. The existence of a measurement model for the acceptance of the VHO application will greatly help business people in this field to be able to develop their products and improve the performance of the service products they offer. The purpose of this research is to determine how much acceptance of VHO application users based on the Technology Acceptance Model (TAM). This research approach uses a quantitative approach with survey methods. The data collection technique is using a questionnaire that distributed randomly to users of the VHO application. The data analysis method used is descriptive analysis, using multiple linear regression techniques. The results of this study indicate that the variables of mobile perceived compatibility, mobile perceived financial resources, and mobile perceived system quality have a simultaneous effect on the mobile variable perceived usefulness, the mobile variable perceived ease of use and the intention to use variable.
Numerical Model of Current Speed in Bojong Salawe Beach, Pangandaran West Java Province Subiyanto Subiyanto; Nira na Nirwa; Yuniarti Yuniarti; Yudi Nurul Ihsan; Eddy Afrianto; Sudradjat Supian
International Journal of Global Operations Research Vol 2, No 1 (2021)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i1.40

Abstract

The purpose of this study was to determine the hydrodynamic conditions at Bojong Salawe beach. The method used in this research is a quantitative method, where numerical data is collected to support the formation of numerical models such as wind, bathymetry, and tide data. The hydrodynamic model will be made using Mike 21 with the Flow Model FM module to determine the current movement pattern based on the data used. In the west monsoon with a maximum instantaneous speed of 0.04 - 0.08 m/s, while in the east monsoon it moves with a maximum instantaneous speed of 0,4 – 0,44 m/s. The dominant direction of current movement tends to the northeast. The results indicate the current speed during the east monsoon is higher than the west monsoon. The difference in the current speed is also influenced by the tide conditions; higher during high tide and lower during low tide. Monsoons also have a role in the current movements, though the effect is not very significant.
Estimation of the Amount of Rice Crop Insurance Premium in the Citarum River Basin Nurfadhlina Abdul Hali; Muhammad Faiz Rifqi; Endang Soeryana
International Journal of Global Operations Research Vol 1, No 1 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i1.16

Abstract

Determination of crop insurance premiums in the Citarum River basin can be calculated by mathematical methods. One of the methods of calculation of the premium that is the normal curve methods with data on crop productivity is assumed to be Gaussian. In this thesis are discussed in crop insurance premium calculations Areas Citarum River basin West Bandung Regency with normal curve method with a significant level of coverage. These methods are used because data on crop productivity gained Gaussian. Normal curve method is used without using the assumption of coefficients of variation, and try for some level of coverage. Application materials used are rice crop productivity data in the Citarum River basin of West Bandung Regency in 2008-2014. This research resulted in the value of the rice crop insurance premiums for farmers in the area based on a certain level of coverage.
Development of Supervision Instrument Application Model through the Utilization of Android-Based Technology for School Heads Risa Fahriyani Purnamawati; Rais Hidayat; Henny Suharyati
International Journal of Global Operations Research Vol 1, No 4 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.60

Abstract

Indonesia needs to improve the teacher’s competence in terms of personality, social, pedagogic and professional dimension since the student’s achievement is still under satisfied. Learning supervision is one of the competences which the principal should have to improve the teacher’s performance. Observation and data analysis of the learning supervision are the important components to create such qualified information. The research is intended to develop manual based observation to be Android based observation by research and development method, to analyze and empirically proof the model quality and accountability. The research fact of model quality is based on the assessment of supervision, output, linguistics, usage, software engineering, design, and visual communication aspects. Data analyzing technique uses qualitative approach through inductive method while data collecting technique uses observation model of 11 principals research subject at Gugus 04 of District Cisarua Kabupaten Bogor. The research produce Android based observation namely AOS (Application of Observation) with the accountability index 4.57 which means that the model is \ accountable to be used at learning supervision process so that the quality of the learning process and the student performance can be improved.
The Effect of Cyber bullying Victimization on Counterproductive Work Behavior Adam Ahmad Alwansyah; Evi Santi; Tantri Yanuar Rahmat Syah
International Journal of Global Operations Research Vol 1, No 3 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.51

Abstract

Counterproductive Work Behavior (CWB) is a behvaior that is contrary with the norms and the rules of an organization. CWB can give the big problems in financial and non-financial aspect for an organization or a member of organization . In this study we will show the effect of cyberbullying victimization on CWB in organization. In this research CWB will be analyzed with the level of cyberbullying victimization that is a variabel which is rarely been studied. The object of this research is pest contrl sector that is never studied in previoud research. A questionnaire has been designed and distributed to 585 pest control employees at Indonesia and the data will be analyzed with SEM ( Structral Equation modelling). This research show that cyberbullying victimization give the positive and significant effect to CWB. This illustrates that the higher level of cyberbullying victimization within an organization, the higher CWB rate and otherwise.Counterproductive Work Behavior (CWB) is a behavior that is contrary with the norms and the rules of an organization. CWB can give the big problems in financial and non-financial aspect for an organization or a member of organization . In this study we will show the effect of cyber bullying victimization on CWB in organization. In this research CWB will be analyzed with the level of cyber bullying victimization that is a variable which is rarely been studied. The object of this research is pest control sector that is never studied in previous research. A questionnaire has been designed and distributed to 585 pest control employees at Indonesia and the data will be analyzed with SEM ( Structural Equation modelling). These researches show that cyber bullying victimization give the positive and significant effect to CWB. This illustrates that the higher level of cyber bullying victimization within an organization, the higher CWB rate and otherwise.
Stationary Distribution Markov Chain for COVID-19 Pandemic Audi Achmad; Mahrudinda Mahrudinda; Budi Ruchjana; Sudradjat Supian
International Journal of Global Operations Research Vol 1, No 2 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i2.25

Abstract

Coronavirus disease (COVID-19) is a new disease found in the late 2019. The first case was reported on December 31, 2019 in Wuhan, China and spreading all over the countries. The disease was quickly spread to all over the countries. There are 206.900 cases confirmed by March 18, 2020 causing 8.272 death. It was predicted that the number of confirmed cases will continue to increase. On January 30, 2020, WHO declared this as pandemic for the 6th time ever since the swine influenza. There are a lot of researchers which discuss pandemic spreading caused by virus with mathematical modelling. In this paper, we discuss a long-term prediction over the COVID-19 spreading using stationary distribution markov chain. The goal is to analyze the prediction of infected people in long-term by analyzing the COVID-19 daily cases in an observation interval. By analyzing the daily cases of COVID-19 in Indonesia from March 2nd, 2020 until November 1st, 2020, result shown that 53.91% of probability that the COVID-19 daily case will incline in long-term, 44.86% of chance will decline, and 1.23% of chance will stagnant.
The Effect of Addiction Online Game Factor by Private High School Students in Padang City Nela Sari Yolanda; Yessy Marzona; Lailatul Husna; Safinah Azmir
International Journal of Global Operations Research Vol 2, No 1 (2021)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i1.69

Abstract

Online Game is a game that entertain which is by connected by a network, so that it can be played between one player and another player in different places. As a matter of fact, Online Game can have a negative impact, that is an addiction. Students who are addicted to play online game have been influenced by several factors, the factor of facility, individual factors, family factors, social factors, and the online game itself. An analysis that can be used to look at the factors that influence addiction online game in private senior high school students in the city of Padang is a logistic regression analysis.This type of research is experimental research and the population in this study are private senior high school students in Padang City who play online game on a smartphone. The sample in this research are about to 96 respondents and the sampling technique used was technique non probability sampling with the sampling method accidental sampling and using a questionnaire. Based on the research results, we obtained the factors that influence it and factors that significantly influence addiction online game in students private SMA is a facility, family, and types game online.
Calculating Premium Credibility Using the Buhlmann-Straub Modelwith Nonparametric Assessment Dwi Susanti; Sokono Sukono
International Journal of Global Operations Research Vol 1, No 1 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i1.15

Abstract

When an insurance company calculates the premium it will divides the policy holders into groups. The division is considered based on risk level in each group. The problem is then to devise a way of combining the experience risk of the group with the experience of the individual risk to calculate the premium, so then Credibility Theory provides a solution to this problem.This script discuss about calculation of credibility premium use Buhlmann-Straub Model with nonparametric estimation to the aggregate claim amount data set within few years observation in some group of policy holders in  general insurance. By using credibility theory we can calculate the value of credibility factor and credibility premium or future premium. The value of premium credibility is calculated from only one group of policyholders from the previous year's data. For better value of premium credibility, data with more experience years and the policyholder group better reflect the total loss value during the observation year.The result of this calculation are credibility factor per group, average credibility premium per members in group and credibility premium total for the last year for each group. We can obtain total losses and total premium which surprisingly equal. 
Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process Rizky Ashgi; Sudradjat Supian; subiyanto subiyanto
International Journal of Global Operations Research Vol 1, No 4 (2020)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.47

Abstract

Covid-19 has brought about major changes for all people in various countries, for example creating vaccines, wearing masks and predicting the predictive state of death that will occur. In this paper, we will predict cases of covid-19 deaths using data taken from the worldometer website by taking data on daily covid-19 deaths worldwide in the period January 23rd- April 16th, 2020. Then the data is processed using the Poisson process that has been transformed using SPSS computer programming, namely the daily mortality rate in the period January 23rd - March 16th, 2020 using descriptive statistics, it was found that the death rate was 4 people in one day, then the Kolmogorov test followed the Poisson distribution, because it met the requirements for the P-value. value . Furthermore, it is calculated by using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21 because the data has been transformed, so . the chance that no one will die within the next 45 days, namely April 30th, 2020 is close to. In the period of January  23rd  - April 16th, 2020 using descriptive statistics, it was found that the death rate was 6 people in one day, then the Kolmogorov test was carried out with the results following the Poisson distribution, because it fulfilled the requirements for a P-value . Furthermore, it is calculated using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21st, 2020  because the data has been transformed, so . The chance that no one will die within the next 45 days, namely May 31, is close to .

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