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
373 Documents
<![CDATA[The Ethnomathematical Concept of Sundanese Local Wisdom through Building Space for the Earth Alit Kabuyutan West Java Site as the Development of Mathematics Learning Media ]]>
<![CDATA[Emas Marlina]]>;
<![CDATA[Fadli Azis]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i2.449
<![CDATA[This research is motivated by the preservation of Sundanese culture in West Java which must be instilled in students through learning mathematics and students' mathematical understanding abilities. Based on this problem, an ethnomathematical-oriented learning media device for Sundanese local wisdom was developed through the spatial construction of the Bumi Alit Kabuyutan Site. The purpose of this study was to find out what types of buildings can be used as learning media for mathematics in Geometri and produce valid, practical, and effective mathematics learning media tools for the preservation of Sundanese culture as well as students' mathematical understanding abilities. The research method used is a mixed, namely the Plomp development method and the experimental method. The subjects in this study were class VIII Junior High School Bakti Nusantara in Bandung, West Java, with the sample consisting of 3 classes, namely the limited trial class, the control class, and the experimental class. The research instruments used include validation sheets, student activity observation sheets, implementation sheets of learning media devices, and student response questionnaires, and data collection techniques used include observation, interviews, and questionnaires. The ability of students' mathematical understanding of the geometrical material was measured using a student's mathematical understanding ability test. Data were analyzed by normality, homogeneity, and One Way ANOVA using SPSS. The results showed that (1) the resulting learning tools were valid, practical and effective, (2) the results of the One Way ANOVA test obtained a p-value 0.003 (sig < 0.05) value which indicates that the implementation of the developed learning tools has a significant effect. significant to the preservation of Sundanese culture and the ability of students' mathematical understanding. ]]>
<![CDATA[The Character Education Based on Local Wisdom with Flipbook Assisted Digital Literacy Media in Online Learning ]]>
<![CDATA[Rina Andriani]]>;
<![CDATA[Emas Marlina]]>;
<![CDATA[Nenden Sri Rahayu]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i2.450
<![CDATA[Attitudes and behaviors that are in accordance with the noble values of Pancasila are preserved by character education based on local wisdom. The character education program begins with providing knowledge of local wisdom values, exemplary, providing motivation, habituation and enforcement of rules. The aims of this study are to design, create and implement local wisdom-based character education by using flipbook-assisted digital literacy as learning media in online learning. The research method was carried out in three steps: initial, core and final stages. The study was conducted at SMPN 1 Arjasari class VII-D consisting of 30 students. The results show that the students have a high interest and curiosity towards the material presented in the learning activities. Furthermore, the students’ responses regarding the use of digital literacy media are 98% of them enjoy learning with the use of flipbook-assisted digital literacy media and 3% do not. In terms of the content in the material presented in the flipbook, 90% of them were very satisfied, 5% said they were satisfied and 5% were not satisfied. To conclude, the character education based on local wisdom with digital literacy media assisted by flipbooks is appropriate to be used during online learning, the characters that emerge from the learning process are curiosity, high motivation, obedient, discipline and care of the local culture.]]>
<![CDATA[SPATIAL CLUSTERING-BASED GAS STATION LOCATION DETERMINATION ]]>
<![CDATA[Ayasda Rahardian]]>;
<![CDATA[Eneng Tita Tosida]]>;
<![CDATA[Ema Kurnia]]>;
<![CDATA[Hairulnizam Mahdin]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i2.451
<![CDATA[The absence of gas stations built in Cibeber Subdistrict is not balanced with the high level of transportation use for ease of mobility among residents. The purpose of this research is to cluster data using K-Means clustering and spatial modeling to provide a potential location for the construction of gas stations in Cibeber District. Based on the research process that has been carried out using RStudio, the potential villages for the construction of gas stations consist of four villages, namely Cikotok, Cibeber, Neglasari, and Wanasari. As for the results of spatial modeling, Cibeber District has a total of 862 potential location points, and within the scope of potential villages, namely four villages, there are 233 potential location points. Then, after being processed with weighted products for optimization and getting the best location results, 3 potential locations were obtained, namely Tegalumbu Village located in Wanasari Village, Nagrak Village located in Cikotok Village, and Cinangga Village located in Cibeber Village.]]>
<![CDATA[Numerical Modelling Techniques for Marine Debris : A Systematic Literature Review ]]>
<![CDATA[Subiyanto Subiyanto]]>;
<![CDATA[Fenyawati Akhmad]]>;
<![CDATA[Mohammad Fadhli Ahmad]]>;
<![CDATA[Sudradjat Supian]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.488
<![CDATA[Currently, marine debris (MD) is one of them the most worrying global environmental problems because high impact on ecosystems, human health, and economy. One type of MD is that plastics have a significant and growing component, comprising between 60 - 80% of MD globally. Numerical model is an amalgamation of a large number of mathematical equations that rely on computers to find approximate solutions to underlying physical problems. Numerical modeling is key to understanding and determining the source, trajectory and fate of marine plastic debris (MPD). The purpose of this study is to review several methods that have been used in marine debris tracking modeling. The method used in this study is the PRISMA Method and Bibliometric Analysis.]]>
<![CDATA[Determining Pure Premium of Motor Vehicle Insurance with Generalized Linear Models (GLM) ]]>
<![CDATA[Tyrenia Rahmawati]]>;
<![CDATA[Dwi Susanti]]>;
<![CDATA[Riaman Riaman]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 4 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i4.492
<![CDATA[Motor vehicle insurance guarantees protection, coverage, and compensation for the risks of accidents, damages, and loss of motor vehicles. It is crucial for companies to determine appropriate insurance premium rates as a preventive measure to avoid difficulties in meeting claims filed by policyholders. This research aims to determine the pure premium of motor vehicle insurance using the Generalized Linear Models (GLM) method, which utilizes the concept of a general linear relationship between independent variables and the dependent/response variable, as well as identifying motor vehicle characteristics that influence the determination of pure premiums. The data used in this study is from Swedish motor vehicle insurance. The research aims to determine the pure premium in the data by modeling claim frequency using the Poisson distribution and claim severity using the Gamma distribution, depending on the significantly influential characteristics. The Maximum Likelihood Estimation method is employed for parameter estimation. After conducting the research, the estimated parameters , , and the pure premium of motor vehicle insurance are found to be 35,572,223.27 kr, with the characteristics influencing the pure premium being the distance traveled by the vehicle, the insured's geographic zone, and the no-claim bonus.]]>
<![CDATA[Application of Single Index Model to Determine Optimal Stock Portfolio (A Case Study on IDX30 in 2022) ]]>
<![CDATA[Emmanuel Parulian Sirait]]>;
<![CDATA[Kankan Parmikanti]]>;
<![CDATA[Riaman Riaman]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.493
<![CDATA[Stock represent proof of ownership or participation of an individual or entity in a company. Investors gain profits from shares through capital gains and dividends. The difficulty in selecting an optimal composition of a stock portfolio is a major concern for investors. This study aims to determine the optimal composition of a stock portfolio, calculate the expected returns in the future, and assess the potential risks that investors may encounter later on. The data for this research consists of stocks listed on the IDX30 Index throughout the year 2022, which consistently appear in every six-month evaluation. The analysis is conducted using a single-index model. Based on the findings of this study, the following ten stocks are identified as the optimal portfolio constituents: KLBF with a weight of 17.20%, BBRI with a weight of 17.18%, BBCA with a weight of 17.08%, PTBA with a weight of 12.46%, BBNI with a weight of 9.89%, UNVR with a weight of 8.33%, INKP with a weight of 8.66%, ICBP with a weight of 5.56%, BMRI with a weight of 3.25%, and UNTR with a weight of 0,39%. The expected return from the formed portfolio is 0,1% per day, with a corresponding risk of 0,004%.]]>
<![CDATA[Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung) ]]>
<![CDATA[Adi Suripto]]>;
<![CDATA[Julita Nahar]]>;
<![CDATA[Herlina Napitupulu]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 4 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i4.494
<![CDATA[Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Decomposition forecasting method is used in order to find out the forecast sales data pattern in the future. Uncertain demand causes the inventory system to be probabilistic, so it is necessary to carry out probabilistic inventory control. The P model of the case of back orders was chosen because the range of ordering periods is fixed and the company can buy inventory when it runs out before the time the inventory order is made so that buyers can wait until the inventory arrives. By using Model P for the case of back orders, the company can obtain the period between orders, the total cost of inventory, and the optimal level of service. Based on the results of this study, a pattern of sales forecast data is obtained which repeats every 12 months. Companies must order glasses within a period of 32 days between orders so that it is optimal and able to provide a reduction in the total inventory cost of IDR 21,828,771 with a service level of 95%. Companies can save on inventory costs if they use shorter periods between orders. The total cost of inventory can be more optimal if the company reduces the cost of storing inventory in the warehouse.]]>
<![CDATA[Ratio Effect of Breadfruit Flour and Wheat Flour on Cookies Characteristics ]]>
<![CDATA[Hendrawan Hendrawan]]>;
<![CDATA[Alti Martia]]>;
<![CDATA[Raihanita Nurul Jannah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.495
<![CDATA[Cookies are dried and sweet food products made from wheat flour, fat, and sugar baked with dried texture and less than 5% moisture content. The flour used in this study was substituted by breadfruit flour as an attempt to reduce the amount of wheat flour consumption also utilizes native crops. The purpose of the study was to determine the right ratio of breadfruit flour and wheat flour to get the best characteristics of cookies. The study was done at Food Processing Lab and Chemistry Lab of Ma’soem University which was conducted in 2022 on September to October. The method used in this study was Randomized Block Design (RBD) with 5 repetitions and 5 treatments. The criteria tested were organoleptic (color, aroma, texture, flavour), chemical properties (water content, carbohydrate content, calories value of cookies). The result indicated that ratio between breadfruit flour and wheat flour effected the water content, carbohydrate content, calories, aroma, texture, and flavor of cookies. The best characteristic of cookies made from treatment C (45:55) based on water content and carbohydrate content.]]>
<![CDATA[The Influence of Operating Cash Flow, Net Income, Depreciation Expenses, and Amortization Expenses on Cash Flow Forecasting at PT. Bank XYZ ]]>
<![CDATA[Aisyah Nurul Aini]]>;
<![CDATA[Herlina Napitupulu]]>;
<![CDATA[Sukono Sukono]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.496
<![CDATA[The cash flow statement is part of a company's financial statements produced in an accounting period that shows the company's cash inflows and outflows. This study aims to analyze the effect of operating cash flow variables, net income, depreciation expense, and amortization expense on forecasting future cash flows. This research uses quantitative research using secondary data with a descriptive approach, which is analyzed using the Multiple Linear Regression method with SPSS assistance. The object used is PT. Bank XYZ for the period January 2019 to February 2023. The results show that operating cash flow affects forecasting future cash flows, net profit does not affect forecasting future cash flows, depreciation expense does not affect forecasting future cash flows, and amortization expense does not affect forecasting future cash flows. However, operating cash flow, net profit, depreciation expense, and amortization expense simultaneously affect the cash flow forecasting results. Based on the forecasting results, which have a MAPE value of 17.43%, it can be concluded that the forecasting results have good forecasting abilities. ]]>
<![CDATA[Effect of Mango Puree (Mangifera Indica L) and Pineapple Puree (Ananas Comosus (L.) Merr) Balance on the Characteristics of Fruit Leather Produced ]]>
<![CDATA[Amila Khairina]]>;
<![CDATA[Rifa Izmi Wahdaniah]]>;
<![CDATA[Manika Sunda Peliyanty]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.497
<![CDATA[Fruit leather is one type of food that can be used as an alternative to processed food made from fruits. Some of the fruits that can be processed into fruit leather are harum manis mango and pineapple. The purpose of the study is to find out the right balance between mango and pineapple so as to produce fruit leather with good characteristics. The research was carried out at the Chemical Laboratory and Food Processing Laboratory, Faculty of Agriculture, Ma'soem University in the second week of June to the second week of August 2022. The method used in this study is a Randomized Block Design (RAK) method which consisted of 6 treatments and each was repeated 4 times. The treatment is Mango: Pineapple A(0:100), B(20:80), C(40:60), D(60:40), E(80:20), F(100:0). The analysis in this study includes chemical tests and organoleptic tests. Chemical tests consist of analysis of water content and total dissolved solids while organoleptic tests are carried out on the level of preference for color, taste, aroma, and texture. The results showed that the balance of mango and pineapple puree had a significant effect on water content, total dissolved solids, and level of preference for fruit leather texture. Meanwhile, the level of preference for the color, taste and aroma of fruit leather was not significantly different. The organoleptic D(60:40) balance produced the best level of taste and aroma preference.]]>
