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
Articles
236 Documents
<![CDATA[The Influence of Social Media Influencers on Purchase Intention of Local Personal Care Products ]]>
<![CDATA[Feliciana Yovita Saputra]]>;
<![CDATA[Wisnu Sakti Dewobroto]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 1 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i1.253
<![CDATA[Nowadays, Personal care products grow rapidly every year even in a red ocean industry. With changes in this digital era, personal care companies have to innovate in order to survive and grow. One of the ways is the use of digital marketing. There are many ways to do digital marketing and one of the popular methods is social media influencers. However, with so many new influencers on social media, marketers find it challenging to choose the right influencers to promote their products because not every influencer brings a significant impact. Choosing the wrong influencers could cause the business to lose money and harm the image of a product or a brand. On the other hand, choosing the right influencers may lead to the popularity of the product and an increase in sales. Based on that, this research is focusing on the influencers from the consumer’s point of view, in order to know the type of influencers that fit with the product offered. This research is based on literature study that describes Influencer credibility has a positive impact on consumers' purchase intention, attitude towards products, and advertising. Moreover, Influencer credibility could describe and evaluate an influencer based on their attractiveness, trustworthiness, and expertise.]]>
<![CDATA[Impact of Covid-19 Pandemic on Economic Growth of the Tourism Sector in Indonesia ]]>
<![CDATA[Mursalina Mursalina]]>;
<![CDATA[Raja Masbar]]>;
<![CDATA[Suriani Suriani]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 1 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i1.261
<![CDATA[Indonesia has made the tourism sector one of its current development priorities. However, the Covid-19 pandemic has harmed various economic sectors, and the tourism sector is the most affected in Indonesia. As a result of policies carried out by various countries including Indonesia, such as lockdown, social distancing, and its kind, economic activity has slowed, tourist arrivals have decreased drastically, and investment has decreased due to the uncertainty caused by the pandemic. This study aims to examine the effect of the Covid-19 pandemic on tourist arrivals and investment (domestic and foreign investment) and its impact on the economic growth of the tourism sector in Indonesia. This study uses the path analysis method by using mediating variables, namely tourist arrivals, and investment paths. Panel data regression is used to regress the path analysis equation, with data series 2018q1 – 2021q2 and cross-sections in 22 provinces in Indonesia that have tourist entrances.]]>
<![CDATA[The Impact of Covid-19 on Financial Performance and Share Price on Cigarette Companies Listed on Indonesia Stock Exchange (IDX) ]]>
<![CDATA[Nita Rislawati]]>;
<![CDATA[Nardi Nardi]]>;
<![CDATA[Asmadhini Handayani Rahmah]]>;
<![CDATA[Fitriansyah Fitriansyah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 1 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i1.259
<![CDATA[This study aims to determine and analyze differences in financial performance and stock prices before and after Covid-19 incigarette companies. Financial performance in this study is measured using three ratios namely Return on Asset (ROA), OperatingProfit Margin (OPM) and Net Profit Margin (NPM). The data used in this study is secondary data from the type of financialstatements of Cigarette Companies from the Indonesia Stock Exchange (IDX) website and the official website of cigarettecompanies, and the sampling method used is sampling census because the samples used in this study are the financial statements ofthe entire population of Cigarette Companies registered with the IDX in the third quarter of 2019 to the fourth quarter of 2020. Theanalysis method in this study is the wilcoxon test using SPSS 26. Based on the results of research obtained show Return on Assets(ROA), Operating Profit Margin (OPM) and stock price showed no significant differences before and after Covid-19. Net ProfitMargin (NPM) shows significant differences before and after Covid-19. To find out and analyze the state of cigarette companies inthe Covid-19 pandemic and also as a consideration for investors and business people in policy making]]>
<![CDATA[Value Input Application (E-Pak) Functional Position of Bandung City Health Department Based on Web Database ]]>
<![CDATA[Syahrul Zein]]>;
<![CDATA[Onoy Rohaeni]]>;
<![CDATA[Farid Badruzzaman]]>;
<![CDATA[Yusuf Fajar]]>;
<![CDATA[Didi Suhaedi]]>;
<![CDATA[Erwin Harahap]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 1 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i1.255
<![CDATA[Technology is present and becomes a part of human life. Each era has its own technological advantages. The history of technology begins millions of years ago. The first technology discovered by mankind was to create sharp stone chips which were used as stones. Then humans began to develop and found several technologies, one of which was computers and the internet. computers and the internet have a close relationship, especially in today's era where all activities cannot be separated from computers and the internet. One of these activities is in the office world. The Bandung City Health Office is a government agency that has a lot of data, especially in the section where the author is placed, namely the Division of Human Resources and Health or SDMK. The SDMK Division is tasked with receiving data on the credit score of a functional position from the assessment team to calculate whether a functional position is eligible for promotion or not. On that basis, the purpose of this paper is to create an application for inputting the credit score for a functional position based on a web database to make it easier for the assessment team, SDMK to view, recap and change credit scores as well as a functional position in viewing its credit score. The main finding is a web database-based application called E-PAK.]]>
<![CDATA[Is There any Effect of ESG Performance in the Improvement of Financial Risk in ASEAN-5? ]]>
<![CDATA[Nadia Rahma]]>;
<![CDATA[Rofikoh Rokhim]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.274
<![CDATA[Public awareness in social and environmental sustainability became a challenge that turned into general assessments. ESG (Environmental, Social, Governance) performance became essential. Hence, the firm that does not apply ESG criteria in its business activities will face a consequence from investors impacting its performance, associated with financial risk. This study examines ESG performance within ESG score, ESG controversy, and BGD (Board Gender Diversity) on the total and systematic risk as a proxy for the financial risk of public companies listed on the stock exchange. This study uses a sample of 105 listed public firms from each stock exchange in ASEAN-5 (Philippines, Indonesia, Malaysia, Singapore, and Thailand) from 2016 to 2020 and applies panel regression analysis. The result suggests that ESG Score significantly influences total but not systematic risk in ASEAN-5. ESG controversy does not considerably affect total and systematic risk. BGD significantly influences total risk but not systematic risk. The findings will help investors and portfolio managers evaluate how ESG performance influences the firm's financial risk and make better investment decisions in ASEAN-5.]]>
<![CDATA[Analysis of Economic Growth Core and Periphery: Evidence from Aceh Province, Indonesia ]]>
<![CDATA[Risnasari Risnasari]]>;
<![CDATA[Abd. Jamal]]>;
<![CDATA[Sofyan Syahnur]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.277
<![CDATA[This research is to determine factors that influenced Gross Regional Development Product (GRDP) Banda Aceh and Lhokseumawe city in context relationship between core and periphery using panel data regression of 23 districts/cities in Aceh Province, Indonesia year 2010-2020. Selected independent variables in this paper are GRDP core and periphery, population, distance between core and periphery, availability of hospital, availability of university and availability of industry. Based on estimation results, all independent variabels have significant effect toward GRDP Banda Aceh and Lhokseumawe city. Variabels that found have positive effect toward GRDP Banda Aceh city are GRDP core and periphery, and distance between core and periphery. Variabels that found have negative effect toward GRDP core Banda Aceh city are population, availability of hospital, availability of university and availability of industry. Then, variabels that found have positive effect toward GRDP Lhokseumawe city are GRDP core and periphery, distance between core and periphery, and availability of university. Variabels that found have negative effect toward GRDP core Lhokseumawe city are population, availability of hospital, and availability of industry. It is hoped that this findings will provide useful information for policymakers in attempt to enhance the competitiveness of regional economy.]]>
<![CDATA[Mathematical Modeling to Estimate Non-Tax State Revenues ]]>
<![CDATA[Rahadatul Aisyi]]>;
<![CDATA[Friska Anzalni]]>;
<![CDATA[Yusuf Fajar]]>;
<![CDATA[Didi Suhaedi]]>;
<![CDATA[Erwin Harahap]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.258
<![CDATA[Mathematics is the basic foundation for other sciences. Equation is a mathematical model that can describe real-life problems, one of which is estimating non-tax state revenues in the coming year. Non-State Revenue (penerimaan negara bukan pajak, PNBP) is the scope of state finances which is equipped with the State Assets and Auction Service Office (kantor pelayanan keuangan negara dan lelang, KPKNL) which must be reported on the realization of PNBP that will be deposited into the state treasury. Such situation happens because expenditures in each government agency will be available and increase every year by the government. Therefore, direktorat jenderal keuangan negara (DJKN) have to be more optimal in the management of the PNBP. This study aims to determine the results of the best estimates and exponential models in estimating non-tax state income at the KPKNL Bandung, Indonesia, in year of 2017 and 2018. This research includes descriptive research using a qualitative approach. The results show that the calculation using the exponential 4th model is the best model for estimating PNBP such that the estimated PNBP results in 2017 is Rp. 574,775,677 and in 2018 is Rp. 798,022,691.]]>
<![CDATA[The Effect of the Agriculture Sector on Poverty in Aceh Province ]]>
<![CDATA[Ridho Fatwa]]>;
<![CDATA[Srinita Srinita]]>;
<![CDATA[Muhammad Abrar]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.275
<![CDATA[This study aims to analyze the influence of the agricultural sector on poverty in Aceh Province. In this study, the variables used in influencing the poverty level in Aceh Province are the share of Gross domestic product (GDP) in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and Gross Regional Domestic Product (GRDP) per capita. The regression model used in this study is the method of multiple linear regression analysis (ordinary least squares regression analysis) using panel data and a fixed effect approach (fixed effect model) to determine the effect between variables. The results of this study are based on a simultaneous test (Test F) which shows that overall, the independent variables (share of GDP in the agricultural sector, labor in the agricultural sector, agricultural land, Farmer Education and GRDP per capita together show their effect on the poverty level. The results of the study based on a partial test (t test) showed that the share of the agricultural sector GRDP and the GDP per capita variable had a negative and significant effect on poverty and agricultural sector labor had a positive and significant effect on poverty, while the variables of agricultural land and farmer education negative effect, but not significant. The value of Adjusted R-squared in this study is 0.868629. This shows that the 86.86 percent change in the dependent variable, namely the Poverty of Aceh Province, can be explained by the independent variable, namely Share of Agricultural GRDP, Agricultural Manpower, Agricultural Land, Farmer Education and Per Capita GRDP. While the remaining 13.14% is explained by other factors outside the model.]]>
<![CDATA[Thailand’s Destination Image and Intention to Visit Perception Tourist in Indonesia ]]>
<![CDATA[Sunchai Gamon]]>;
<![CDATA[Asnee Malee]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.271
<![CDATA[Thailand isa popular tourist country in southeast Asia where millions of tourists come to visit each year. However, most of the first visitors left the question why so few people have tourist behavior back to the destination of Thailand. The study is to find out how the image of destinations, access surveys affect the behavior behavior through the satisfaction of Indonesian tourists on the travel destination in Thailand. The research method used is quantitative, sample retrieval technique using non-sampling and obtained samples as much as 385 respondents, the analysis tools used are path analysis and hypotheses using the import analysis tools used by Amos and SPSS. The study suggests that the live test of destination image and access reading variables affected the behavioral test of Indonesian tourists on Thai tour destinations and then for the satisfaction of tourists able to improve the relationship between the image of destinations and the behavior of Indonesian tourists on the Thai tour destinations, it contributed by reviewing the behavior patterns of tourists in Indonesia while visiting the destination of tourism. The academic and managerial implications of this discovery are useful in devising a tourist destination country tourism strategy in Thailand. ]]>
<![CDATA[Influence of Cash Holding and Dividend Against Firm Value on Property Company and Real Estate Listed on the Indonesia Stock Exchange ]]>
<![CDATA[Siti Rosa Lismawati]]>;
<![CDATA[Candra Hadi Utomo]]>;
<![CDATA[Fenty Fauziah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v3i2.272
<![CDATA[The purpose of this study was to determine and analyze the effect of cash holding and dividends on firm value in property and real estate companies listed on the Indonesia Stock Exchange, either partially or simultaneously. The quantitative type of research used in this study, the research population is all property and real estate companies listed on the Indonesia Stock Exchange for the 2010-2019 period and the sample selection technique uses purposive sampling so that a sample of companies is obtained. The data collection techniques with documentation and are secondary data used in research. The data analysis technique used is panel data with the help of a statistical data processing program called Eviews 9. The results of the study, cash holding partially has a negative and insignificant effect on firm value, while dividends partially have a positive and significant effect on firm value, while simultaneously cash holding and dividends have a significant effect on firm value.]]>
