International Journal of Quantitative Research and Modeling
International Journal of Quantitative Research and Modeling (IJQRM) is published 4 times a year and is the flagship journal of the Research Collaboration Community (RCC). It is the aim of IJQRM to present papers which cover the theory, practice, history or methodology of Quatitative Research (QR) and Mathematical Moodeling (MM). However, since Quatitative Research (QR) and Mathematical Moodeling (MM) are 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 Quatitative Research (QR) and Mathematical Modeling (MM) to real problems are especially welcome. In real applications of Quatitative Research (QR) and Mathematical Moodeling (MM): forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling. In a wide variety of environments: community Quatitative Research (QR) and Mathematical Moodeling (MM), 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 Computational Intelligence Computing and Information Technologies Continuous and Discrete Optimization Decision Analysis and Decision Support Mathematics Education Engineering Management Environment, Energy and Natural Resources Financial Engineering Heuristics Industrial Engineering Information Management Information Technology Inventory Management Logistics and Supply Chain Management Maintenance Manufacturing Industries Marketing Engineering Markov Chains Mathematics Actuarial Sciences Big Data Analysis Operations Research Military and Homeland Security Networks Operations Management Planning and Scheduling Policy Modeling and Public Sector Production Management Queuing Theory Revenue & Risk Management Services Management Simulation Statistics Stochastic Models Strategic Management Systems Engineering Telecommunications Transportation Risk Management Modeling of Economics And so on
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<![CDATA[Probability distributions of COVID-19 tweet posted trends uses a nonhomogeneous Poisson process ]]>
<![CDATA[Devi Munandar]]>;
<![CDATA[Sudradjat Supian]]>;
<![CDATA[Subiyanto Subiyanto]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.74
<![CDATA[The influence of social media in disseminating information, especially during the COVID-19 pandemic, can be observed with time interval, so that the probability of number of tweets discussed by netizens on social media can be observed. The nonhomogeneous Poisson process (NHPP) is a Poisson process with dependent on time parameters and the exponential distribution having unequal parameter values and, independently of each other. The probability of no accurence an event in the initial state is one and the probability of an event in initial state is zero. Using of non-homogeneous Poisson in this paper aims to predict and count the number of tweet posts with the keyword coronavirus, COVID-19 with set time intervals every day. Posting of tweets from one time each day to the next do not affect each other and the number of tweets is not the same. The dataset used in this study is crawling of COVID-19 tweets three times a day with duration of 20 minutes each crawled for 13 days or 39 time intervals. Result of this study obtained predictions and calculated for the probability of the number of tweets for the tendency of netizens to post on the situation of the COVID-19 pandemic.]]>
<![CDATA[Integrating Technologies in the New Normal: A Study of Blended Learning ]]>
<![CDATA[Rahma Sakina]]>;
<![CDATA[Eva Meidi Kulsum]]>;
<![CDATA[Aip Syaepul Uyun]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.81
<![CDATA[The objective of this research is to describe how the teacher integrates technologies in blended learning and to analyze students’ perception and challenges in blended learning. The research was conducted in a private senior high school in Bandung and used a qualitative descriptive method. The data were collected through interview and questionnaire. The findings show that the teacher had already integrated technologies to run the process of teaching and learning in the new normal era as a replacement of a face to face learning due to Covid-19 pandemic. In the blended learning, the teacher integrated the variety of technologies in teaching-learning activities, namely zoom meeting and WhatsApp group chatting for the synchronous learning and she utilized google classroom, screencast o matic screen recorder, viva video editor, YouTube, and Quizizz the synchronous learning. The students perceived blended learning positively and determined that it is it is one of the effective ways of teaching. The biggest challenge overcome by the teacher is more time needed to learn and adapt to this new situation where they must employ technology in our educational culture. For the students, the stability of internet connection also becomes major obstacle in blended learning. Apart from that, blended learning can be an option applied in the learning process in the current pandemic era.]]>
<![CDATA[Laplace Decomposition Method for Solving Fractional Black-Scholes European Option Pricing Equation ]]>
<![CDATA[Abiodun Ezekiel Owoyemi]]>;
<![CDATA[Ira Sumiati]]>;
<![CDATA[Endang Rusyaman]]>;
<![CDATA[Sukono Sukono]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.83
<![CDATA[Fractional calculus is related to derivatives and integrals with the order is not an integer. Fractional Black-Scholes partial differential equation to determine the price of European-type call options is an application of fractional calculus in the economic and financial fields. Laplace decomposition method is one of the reliable and effective numerical methods for solving fractional differential equations. Thus, this paper aims to apply the Laplace decomposition method for solving the fractional Black-Scholes equation, where the fractional derivative used is the Caputo sense. Two numerical illustrations are presented in this paper. The results show that the Laplace decomposition method is an efficient, easy and very useful method for finding solutions of fractional Black-Scholes partial differential equations and boundary conditions for European option pricing problems.]]>
<![CDATA[Alternative Branching Strategies in the Branch and Bound Algorithm by Using a k-clique covering vertex set for Maximum Clique Problems. ]]>
<![CDATA[Mochamad Suyudi]]>;
<![CDATA[Asep K Supriatna]]>;
<![CDATA[Sukono Sukono]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.82
<![CDATA[The Maximum clique problem (MCP) is graph theory problem that demand complete subgraf with maximum cardinality (maximum clique) in arbitrary graph. Solving MCP usually use Branch and Bound (BnB) algorithm, in this paper we will show how n + 1 color classes (where n is the difference between upper and lower bound) selected to form k-clique covering vertex set which later used for branching strategy can guarenteed finnding maximum clique.]]>
<![CDATA[Design of Enterprise Information System Architecture with Oracle Architecture Development Process (OADP) Case Study in Vocational High Schools ]]>
<![CDATA[Muhammad Prakarsa Al Qadr Saleh]]>;
<![CDATA[Sofia Dewi]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.80
<![CDATA[The development of information and communication technology has led to increasingly competitive competition among organizations. The management of the organization is required to build and develop a fast, precise and accurate information system (IS) to assist business activities in achieving organizational goals and providing services to stakeholders, especially in relation to data, information, technology and applications. ORACLE Architecture Development Process (OADP) is a method or frame of reference for building an information architecture oriented to business needs. This consists of the data architecture, applications, technology and implementation plans of the architectures that have been created to support business activities in achieving the organization mission. The OADP describes the data architecture, applications and technology required to support the organization business. Vocational High Schools cannot be separated from the needs of business and information architecture. A lot of information is generated from all processes that occur in the Vocational High School environment every day but the existing data management is not efficient because it has not been thoroughly connected. This may take a long time to process past data or calculate future needs because the data management process is still running separately. Because of these cases, the modeling information architecture in an organizational environment is required as a stage in supporting the running of business processes in the organization.]]>
<![CDATA[Dynamical Analysis and Circuit Design for Malasoma System ]]>
<![CDATA[Volodymyr Rusyn]]>;
<![CDATA[Diana Purwandari]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 4 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i4.84
<![CDATA[In this paper, the Malasoma system based cubic function is presented. This system contains operational amplifiers, resistors, capacitors, multipliers, and voltage sources. The first stage, we analyze the Malasoma model and execute its stability. The phase portraits and bifurcation diagram are used to analyze the dynamic behaviors of the Malasoma model. The proposed circuit was modelled by utilizing NI’s MultiSim software environment. The electronic circuit is realized by using off-the-shelf components. MATLAB and MultiSim simulation results show a good agreement.]]>
