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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 124 Documents
The Use of Youtube as a Learning Tool in Teaching Listening Skill Shadam Hussaeni Handi Pratama; Riyadh Ahsanul Arifin; Ayang Winda Sri Widianingsih
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.v1i3.50

Abstract

YouTube is not only a platform that individuals share, upload, comment on videos; but also teachers and educators can make practical and effective use of it to the best as great that students can have more an advantage or profit gained. This study aims to carry out a systematic or formal inquiry to discover and examine the facts of how active and distinguished YouTube can be in the educational process and how it is beneficial for language teachers to enhance the skills of students. The study exhibits different theoretical frameworks that equip the employment of technology to increase the learning/teaching process. In using multimedia, video clips used to develop teachers’ abilities for using technology in classrooms. The objectives of this research are to give knowledgeably and clear explanations about teaching students’ listening skills through English video. The researcher emerges a questionnaire and applies it to third-semester of college students, Ma’soem University to give confirmation and show the advantages of technology in the academic field. The paper investigates classes where computers can be utilized, and also appear the defiance that faces teachers and educators regarding this application. The researchers terminated that YouTube is a necessary tool in classrooms as it appeals to the attention of students and envolves their mentality and creativity. It also assists cover the materials exhaustive, especially language. YouTube leads the fun element into classes, through meet the interests of students. Equivalent findings have a remarkable impact on the learning process as the students will realize the educational environment more uplift and inspire. Besides, they notice the material presented worth studying, and this method, they would admire the attempt expend in explaining the information. The research aspires to be of worth to teachers for the operation of technology and students to have a superior apprehension of the materials extend.
Design and Development of Fuzzy Logic Application Tsukamoto Method in Predicting the Number of Covid-19 Positive Cases in West Java Alwi Dahlan Permana; Vani Maharani Nasution; Graha Prakarsa
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.v1i2.35

Abstract

The increase in covid-19 positive patients in Indonesia, especially in West Java, is unpredictable, resulting in unpreparedness in dealing with covid-19 cases. People in monitoring and patients under supervision are the category that is breast-positive patients after passing the incubation period for 14 days. Fuzzy logic is one derivative of artificial intelligence that is able to predict a thing.The study used the fuzzy logic of the Tsukamoto method to predict the percentage increase in positive cases of covid-19 with measures performed are fuzzification, rule formation, inference, and defuzzification. The results showed a 4.5% error rate indicating that predicting covid-19 using the fuzzy logic of the Tsukamoto method was successful.
The Relationship Among Nutrition Knowledge, Vegetable Diet, Nutrition Status of Don Bosco Elementary Students, Manado Laurensi Meity Sasube; Aldian Hein Luntungan
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.v1i1.13

Abstract

Children in urban area tend to abandon healthy diet, since there are a lot of fast food options available around. In general, children valued the importance of nutrition, but they did not concern the health benefit of foods in food selections. Their dietary quality was not satisfactory, and the diet of most children did not meet the recommended serving requirements for vegetable, fruit, cereal and milk. The purpose of this study was to understand the relationship among Nutrition knowledge, vegetables diet and Nutritional Status of Elementary Students at Don Bosco Catholic School Manado. This is a cross sectional study in which we explored the nutritional status of Don Bosco Elementary Students based on nutrition knowledge, vegetable diet and Body Mass Index with questionnaire instrument, anthropometric measurements from June to August 2019. The nutritional status of Don Bosco Elementary School students based on body mass index (BMI) shows that students with normal and overweight nutritional status share an equal comparison that is 1:1 (50%), while the level of student knowledge about nutrition was dominated by students with poor knowledge that is 67.7%. This is also in line with the pattern of vegetables consuming which is also poor at 56.3%. Based on the results of Chi-Square analysis there is no significant relationship between the levels of nutritional knowledge of students with vegetable consumption patterns. Conversely, there is no relationship between the levels of nutritional knowledge of students with nutritional status based on Body Mass Index (BMI).
Hospital Safety Box Monitoring: Building Brand Trust in Healthcare Business During Covid -19 Wave Muhamad Deni Johansyah; Susan Purnama
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.v2i1.64

Abstract

The health business is adjusting to a new reality where bargaining power has shifted to consumers. Consumers are now playing a key role in the commercialization process, making them important stakeholders to fulfill their needs. Health business reforms have convinced consumers to give protection a greater priority than ever since the COVID-19 pandemic escalated around the world. Health care businesses in Indonesia are no exception, should increase their brand trust, because of the huge responsibility to protect consumers from the prevention of COVID-19, and brand trust also gives added value to the hospital's own brand. A brand with the right value proposition can "prove" the true value of its product or service to patients in the minds of consumers, one of which is from medical waste management. Hospital waste is usually a contagious and toxic chemical that can affect human health and environmental impacts if not treated properly. Medical waste including sharp objects, infectious waste, pharmaceutical waste, and other waste is mostly generated in health facilities such as health centers and hospitals. such as intravenous lines, syringes, gloves, which after use must be handled and destroyed in such a way that they do not fall into the hands of the public or even injure medical personnel. The Smart Waste concept is here to answer the challenges of trust in hospital brands in Indonesia, especially in the city of Bandung, increasing the sense of security of consumers is the main goal of this concept where hospital safety boxes work together with sensors and microcontrollers, disposal of syringes can be done more intelligently. , safe and the risk of medical personnel punctured by infected needle waste can be reduced.
Application of the Concept of Linear Equation Systems in Balancing Chemical Reaction Equations Dwindi Agryanti Johar
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.v1i4.48

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.
IMPROVING STUDENTS’ ACHIEVEMENT MOTIVATION THROUGH ROLEPLAY Mochamad Abdul Azis Amir; Ananda Rachmaniar; Hendri Rismayadi; Andre Julius
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.v1i3.49

Abstract

The background of the study is the low achievement motivation of the studentsin which they are unable to show their potential optimally. Thisstudy aims to increase the students’achievementmotivation throughroleplay. The study employed a quasi-experimental method with a nonequivalent (pretest and posttest) control group design. The participants of the study were the grade X students ofSMAN 6  Bandung in academic year 2019/2020. The result shows that students’ achievement motivation is increased through role play. Role playtechniqueis able to provide changes in the students’ attitudes which are supported by the results of the assessment conducted on selected students as assessors.
Optimization of Traffic Light Control Using Fuzzy Logic Sugeno Method Ria Yuliani Kartikasari; Graha Prakarsa; Deden Pradeka
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.v1i2.37

Abstract

Congestion is one of the big problems around the world, especially for big cities. Intersections are the scene of congestion because the lane is the meeting point of two or more roads which has a major influence on the smooth flow of vehicles on the road network. This congestion occurs due to various factors, one of which is the statistical traffic light duration, which does not match traffic conditions. Based on this, there needs to be a development in the timing of a more adaptive green light. This study describes the design of a traffic light controller using the Sugeno method fuzzy logic. This study aims to design a green light duration calculation by applying fuzzy logic that results in adaptive traffic light duration at intersections, by entering the density of each intersection path, which is divided into 4 inputs, namely regulated lane density, opposing lane density I, and opposite lane density. II, the density of the opposite lane III, with the aim of the system being able to produce a duration that is in accordance with the current traffic situation with an output in the form of a green light duration on the regulated lane.
An Empirical Research of Critical Incident of Earthquake Disaster Basedon Credible Association Data Mining Mochamad Suyudi; Sukono Sukono
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.v2i1.65

Abstract

Earthquake disasters usually cause panic in the community affected areas, so it is necessary to be analyzed to deal with earthquake events in the future. This paper analyzes data from 9 major earthquakes in Indonesia over the past 4 years and determines 14 critical events. The analysis is based on credible association rules (CAR), data mining, and the maximum clique algorithm. To verify the accuracy of the association relationship and CAR effectiveness, it is performed using a maximum clique algorithm. Based on the results of data mining, that earthquakes have a credible association relationship and have a probability of critical events in various regions in Indonesia. Thus, these results can be used for prediction, early warning, and logistic distribution planning.
Linear Integer Optimization Model for Two-Stage Guillotine Cutting Stock Problem Using Branch and Bound Method in the Garment Industry Eman Lesmana; Julita Nahar; Annisa D. P
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.v1i1.17

Abstract

This paper discusses the Two-Stage Guillotine Cutting Stock Problem (2GCSP) in the garment industry, namely how to determine the two-stage guillotine pattern that is used to cut fabric stocks into several certain size t-shirt materials that are produced based on the demand for each size of the shirt. 2GCSP is modeled in the form of Linear Integer Optimization and finding solutions using the Branch and Bound method. In this paper also presented a Graphical User Interface with Maple software as an interactive tool to find the best fabric stock cutting patterns. The results show that the optimal solution can be determined by solving numerically using the Branch and Bound method and Maple optimization packages. The solution is shown with an illustration of the pattern and the amount of fabric cut based on the pattern.
HOW POSITIVE THINKING CAN AFFECT STRESS IN MOMS WHO WORKED DURING PANDEMI CORONA? Dyah Rachman Kuswartanti
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.v1i4.34

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%.

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