cover
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
International Journal of Global Operations Research
ISSN : 27231747     EISSN : 27221016     DOI : https://doi.org/10.47194/ijgor
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 5 Documents
Search results for , issue "Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020" : 5 Documents clear
Application of the Concept of Linear Equation Systems in Balancing Chemical Reaction Equations Johar, Dwindi Agryanti
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.48

Abstract

This study discusses the equalization of chemical reactions using a system of linear equations with the Gaussian and Gauss-Jordan elimination. The results show that there is a contradiction in the existing methods for balancing chemical reactions. This study also aims to criticize several studies that say that the equalization of the reaction coefficient can use a system of linear equations. In this paper, the chemical equations were balanced by representing the chemical equation into systems of linear equations. Particularly, the Gauss and Gauss-Jordan elimination methods were used to solve the mathematical problem with this method, it was possible to handle any chemical reaction with given reactants and products.
HOW POSITIVE THINKING CAN AFFECT STRESS IN MOMS WHO WORKED DURING PANDEMI CORONA? Kuswartanti, Dyah Rachman
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.34

Abstract

According to National Commission for Women in April-May 2020, it was explained that women work twice as much as men in terms of household work with a duration of more than 3 hours. There are 1 in 3 respondents who reported that reported that their work increased household chores made him experience stress. The purpose of this study was to see between positive thinking and the stress of mothers who worked during the corona pandemic. Researchers used observational methods to see only people who think positive and stressed. The data technique is to use interviews as initial data in finding information and the phenomena raised in this study, which is then conducted literature studies from journals and books related to the theory of positive thinking variables and relevant stress. As well as the scale of positive thinking and stress that will be taken by research subjects or participants to answer the research objectives. The number of samples in this study were 82 mothers who worked during the corona pandemic. The positive thinking scale was developed from Albrecht's (1980) theory obtained by the researcher obtaining a reliability test result of 0.938. While the stress scale developed from the theory of Sarafino (2011) made by researchers obtained a re,liability test result of 0.944. Analysis of research data using the use of Pearson products. Based on the results of the Pearson product moment analysis, the value that has no reference is -0.689 with p = 0.000; p ≤ 0.01, which indicates a significant negative between positive thinking and stress from working mothers. The effective contribution of the second variable is shown by the determinant coefficient (R square) of 0.468, which shows that positive thinking affects the stress variable of working mothers, 46.8%.
Development of Supervision Instrument Application Model through the Utilization of Android-Based Technology for School Heads Purnamawati, Risa Fahriyani; Hidayat, Rais; Suharyati, Henny
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 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.
Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process Ashgi, Rizky; Supian, Sudradjat; subiyanto, subiyanto
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 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 .
Order Runge-Kutta with Extended Formulation for Solving Ordinary Differential Equations Suryaningrat, Wahyu; Ashgi, Rizky; Purwani, Sri
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.61

Abstract

The mathematical model has been used to understand many phenomena and natural interactions. Since including many variables and parameters, the complex models are not easy to find analytical solutions. In this paper, we analyze one of the family of Runge–Kutta method with an expansion of evaluation function. We applied the proposed method to solve ordinary differential equations problems and compared it with other well-known Runge-Kutta methods. The computation cost and accuracy for each method have been analyzed.

Page 1 of 1 | Total Record : 5


Filter by Year

2020 2020


Filter By Issues
All Issue Vol. 6 No. 3 (2025): International Journal of Global Operations Research (IJGOR), August 2025 Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025 Vol. 6 No. 1 (2025): International Journal of Global Operations Research (IJGOR) Vol. 5 No. 4 (2024): International Journal of Global Operations Research (IJGOR), November 2024 Vol. 5 No. 3 (2024): International Journal of Global Operations Research (IJGOR), August 2024 Vol. 5 No. 2 (2024): International Journal of Global Operations Research (IJGOR)m May 2024 Vol. 5 No. 1 (2024): International Journal of Global Operations Research (IJGOR), February 2024 Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023 Vol. 4 No. 3 (2023): International Journal of Global Operations Research (IJGOR), August 2023 Vol. 4 No. 2 (2023): International Journal of Global Operations Research (IJGOR), May 2023 Vol. 4 No. 1 (2023): International Journal of Global Operations Research (IJGOR), February 2023 Vol. 3 No. 4 (2022): International Journal of Global Operations Research (IJGOR), November 2022 Vol. 3 No. 3 (2022): International Journal of Global Operations Research (IJGOR), August, 2022 Vol. 3 No. 2 (2022): International Journal of Global Operations Research (IJGOR), May 2022 Vol. 3 No. 1 (2022): International Journal of Global Operations Research (IJGOR), February 2022 Vol. 2 No. 4 (2021): International Journal of Global Operations Research (IJGOR), November 2021 Vol. 2 No. 3 (2021): International Journal of Global Operations Research (IJGOR), August 2021 Vol. 2 No. 2 (2021): International Journal of Global Operations Research (IJGOR), May 2021 Vol. 2 No. 1 (2021): International Journal of Global Operations Research (IJGOR), February 2021 Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020 Vol. 1 No. 3 (2020): International Journal of Global Operations Research (IJGOR), August 2020 Vol. 1 No. 2 (2020): International Journal of Global Operations Research (IJGOR), May 2020 Vol. 1 No. 1 (2020): International Journal of Global Operations Research (IJGOR), February 2020 More Issue