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[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) ]]>
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[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) ]]>
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[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) ]]>
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) ]]>
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[Information System Security Audit SIMKA(Sistem Informasi Kearsipan) at Badan Pendapatan Daerah Jawa Barat Kota Bandung III Using COBIT 5 Framework and Standard IS0/IEC 27002 ]]>
<![CDATA[Suci Fitriani Setiawan]]>;
<![CDATA[Titan Parama Yoga]]>;
<![CDATA[Budiman Budiman]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.499
<![CDATA[One of the main problems for an agency or a company is the security of information systems. High security is needed to maintain the confidentiality and misuse of information within the organization. To improve the security of business operations and the quality of information technology resources, it is necessary to evaluate to op Badan Pendapatan Daerah Jawa Barat Kota Bandung III, namely SIMKA BAPENDA whose function is to collect data on PKB (pajak kendaraan bermotor) and BBNKB (bea balik nama kendaraan bermotor) which manage the data computerized. The purpose of this study is to carry out a security audit of SIMKA BAPENDA at the Badan Pendapatan Daerah Jawa Barat Kota Bandung III using the COBIT 5 framework and ISO/IEC 27002 to document audit findings of the information system audit of the Badan Pendapatan Daerah Jawa Barat Kota Bandung III to make a report on the audit results. Based on the results of research that has been done through interviews and questionnaires using framework and using the APO13 and DSS05 sub domains, the results show that the Capability Existing is at level 1 while Capability Level is level 3 so the Capability Gap is 2.]]>
<![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) ]]>
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.]]>
<![CDATA[The Effect Of Pumpkin (Cucurbita moschata D.) And Peel Of Watermelon (Citrullus lanatus) Balance On The Characteristics Of Jam Produced ]]>
<![CDATA[Kelik Putranto]]>;
<![CDATA[Dara Berliana Kusuma]]>;
<![CDATA[Qori Istiqomah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.498
<![CDATA[Jam is a semi-solid food ingredient made no less than 45 parts by weight of crushed fruit with 55 parts by weight of sugar. The mixture is thickened until it reaches a content of a dissolved solid substance of not less than 65% for all types of jam. The main components or conditions for making jam are pectin, sugar and acid. Pectin requirements for the manufacture of jams are a maximum of 0.75% and a minimum sugar of 55%. Ideal fruits in the manufacture of jam should contain enough pectins and acids to produce jams with appropriate characteristics.Research on the jam characteristics of various yellow pumpkin and watermelon peel balances has been tried with the aim of establishing the right balance. The method used in this study was an experimental method using a Randomized Block Design. The balance treatment of yellow pumpkin and watermelon peel consists of balancesA (100: 0) , B (90 : 10), C (80 : 20), D (70 : 30), E (60 : 40) and F (50 : 50), each treatment is repeated four times. Inter-treatment testing using duncan multiple range test at a real level of 5%.The results showed that the balance of yellow squash and watermelon peels gave a noticeable difference in the effect on the moisture content, vitamin C, total soluble solids, the degree of liking for the color, taste, aroma and consistencyof the jam. The balance of yellow pumpkin and watermelon peel (70:30) produces good jam characteristics, this determination is based on a color favorability level of 4.16 , taste of 4.04 and consistencyof 3.63 out of a maximum value of 5.00 and a total soluble solid of 70.03%.]]>
<![CDATA[Optimum Fund Allocation Strategy by Considering the Company's Assets and Liabilities ]]>
<![CDATA[Qurrotu Aini]]>;
<![CDATA[Dwi Susanti]]>;
<![CDATA[Riaman Riaman]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.444
<![CDATA[Investment is essentially placing some funds at present with the expectation of future profits. The basic thing that an investor needs to know is that there is a risk that follows the profit/return. In determining the proper allocation of funds, an investor needs to consider the company's assets and liabilities. Company assets can be in the form of shares, property, and others. Meanwhile, the company's liabilities include debts and other obligations. One of the sectors whose company value has stagnated or increased during the Covid-19 Pandemic is the financial sector. Securities companies are a sub-sector of the financial sector which has a fairly strong position during the Pandemic. This research aims to determine the weight of fund allocation in each company forming the optimum portfolio and to see the effect of the company's assets and liabilities on the formation of the optimum portfolio. One of the methods used is the Lagrange Multiplier method for model formulation. The results of this study show that the optimal portfolio weight of PANS companies is 16.31% with an allocation of funds amounting to Rp163.612.976,00, the optimum portfolio weight of RELI companies is 83.003% with an allocation of funds of Rp830.029.681,00, and the optimum portfolio weight of TRIM companies is 0.636% with the allocation of funds amounting to Rp6.358.243,00. In this study, it was also found that the greater the percentage difference between the company's assets and liabilities, the greater the company's optimum portfolio weight.]]>
<![CDATA[Data Visualization for Students’ Perception Toward Online and Offline Learning in Information Technology Education Program ]]>
<![CDATA[Sulidar Fitri]]>;
<![CDATA[Toafik Muhammad]]>;
<![CDATA[Cecep Riki]]>;
<![CDATA[Sivaperumal Sampath]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v4i3.500
<![CDATA[The comments from student about online and offline learning can be analyzed to evaluate the learning process learning quality. This study focused on visualizing the data from students' perception comments especially one class in Information Technology Education Program between face-to-face learning and online learning. The learning process is observed in order to gain some insight about the difference number of words appearance in the word cloud. The comparative results of this research will be described through data visualization in word cloud using orange software. The results of this study indicate that the words appear in the comments of students who fill out the survey form display more words refer to their choices to take offline learning compared to online learning.]]>
