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[A New 3-D Multistable Chaotic System with Line Equilibrium: Dynamic Analysis and Synchronization ]]>
<![CDATA[Muhamad Deni Johansyah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 1 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i1.126
<![CDATA[This work introduces a new 3-D chaotic system with a line of equilibrium points. We carry out a detailed dynamic analysis of the proposed chaotic system with five nonlinear terms. We show that the chaotic system exhibits multistability with two coexisting chaotic attractors. We apply integral sliding mode control for the complete synchronization of the new chaotic system with itself as leader-follower systems.]]>
<![CDATA[Wireless Chaos-Based Communication System: Literature Review ]]>
<![CDATA[Siti Hadiaty Yuningsih]]>;
<![CDATA[Sudradjat Supian]]>;
<![CDATA[Sukono Sukono]]>;
<![CDATA[Subiyanto Subiyanto]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 1 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i1.128
<![CDATA[Since the early 1990s, a slew of chaotic-based communication systems have been proposed, all of which take advantage of chaotic waveform properties. The inspiration stems from the substantial benefits that this form of nonlinear signal offers. Many communication schemes and applications have been specifically designed for chaos-based communication systems to achieve this goal, with energy, data rate, and synchronization awareness being taken into account in most designs. However, non-coherent chaos-based systems have recently received a lot of attention in order to take advantage of the benefits of chaotic signals and non-coherent detection while avoiding the use of chaotic synchronization, which has poor performance in the presence of additive noise. This paper provides a thorough examination of all wireless radio frequency chaos-based communication systems. It begins by describing the difficulties of chaos implementations and synchronization processes, then moves on to a thorough literature review and study of chaos-based coherent techniques and their applications.]]>
<![CDATA[Numerical Integration Implementation Using Trapezoidal Rule Method To Calculate Aproximation Area Of West Java Province ]]>
<![CDATA[Wida Nurul Fauziyah]]>;
<![CDATA[Athaya Zahrani Irmansyah]]>;
<![CDATA[Sri Purwani]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i2.136
<![CDATA[An area can be shaped into a regular shape or an irregular shape. There is an area of irregular shape which is restricted by an unknown function, to determine that area must use a numerical integration. One of numerical integration methods is Trapezoidal Rule by replacing (????) with an integral approach function which can be evaluated, then let the (????) approximated by a linear polynomial in the certain interval, denoted as closed interval . This study is going to calculate the area of West Java Province by using this method with several different number of partitions in each quadrant such as, 9 partitions, 11 partitions, and 36 partitions in for different quadrants. This study provides the final result of the approximate area which will be compared with the actual area based in the error of result. The main finding is the approximate total area will be closer to the actual area followed by the increasing number of partitions.]]>
<![CDATA[Sediment Transport Pattern Modelling in Bojong Salawe Coast Pangandaran using Mike 21 ]]>
<![CDATA[Nira Nirwana]]>;
<![CDATA[Subiyanto Subiyanto]]>;
<![CDATA[Yuniarti MS]]>;
<![CDATA[Yudi Nurul Ihsan]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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<![CDATA[Bojong Salawe is a coastal area with unique characteristics due to a confluence of three rivers that flow through Cijulang, Cijalu, Cialit and into the Indian Ocean. With complex oceanographic conditions, the sediment transport patterns at Bojong Salawe needs to be contemplated, especially the coastal’s utilization which is quite productive. This study aims to determine the sediment types, the sediment transport patterns and the effect of sediment transport on abrasion or accretion which are supported by hydrodynamic parameters modelling such as wind, currents and tides in the west and east monsoons using hydrodynamic modules and sediment transport in MIKE 21. The results showed that the sediments in this study is 80% sandy silt and 20% sand. The sediment transport pattern models in both the west and east monsoons tend to be influenced by tidal currents, sediment types and the season itself. West monsoon has a higher sediment concentration which ranges from 0 to 8.4 kg/m3 compared to the East Monsoon with a range of 0-4 kg/m3. The effect of sediment transport on the average bed level was 0.71861 m in the west monsoon and 0.37586 m in the east monsoon whereas in the estuary (research station), the average change in West Monsoon is 0.00861 m (ST 1) and 0.07107 m (ST 2) and in the East Monsoon, it is 0.01003 m (ST 1) and 0.01147 m (ST 2). This bed level change tends to increase, indicating that the Bojong Salawe coast has experienced sedimentation (accretion).]]>
<![CDATA[Bifurcation Analysis and Electronic Circuit for Sprott Jerk System ]]>
<![CDATA[R Apip Miptahudin]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i2.145
<![CDATA[In this paper, the Sprott jerk system based quadratic function is presented. The dynamics of this system is revealed through equilibrium analysis, phase portrait, bifurcation diagram and Lyapunov exponents. The Sprott system can exhibit a chaotic attractor, which has complex dynamic behavior. Finally, the circuit implementation is carried out to verify the Sprott Jerk system. The comparison between the MATLAB and MultiSIM simulation results demonstrate the effectiveness of the Sprott system.]]>
<![CDATA[Potential classification of Smart Village – Smart Economy with Deep Learning methods ]]>
<![CDATA[Runanto Runanto]]>;
<![CDATA[Muhammad Fahmi Mislahudin]]>;
<![CDATA[Fauzan Azmi Alfiansyah]]>;
<![CDATA[Maudy Khairunnisa Maisun Taqiyyah]]>;
<![CDATA[Eneng Tita Tosida]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 3 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i3.147
<![CDATA[Development gap in the city and village is still happening on Indonesia. It happened because of the massive urbanization factors. Poverty in the Indonesian villages are relatively higher than on the urbans. In order to reach the maximal city development, Ministry of Village, Development of Disadvantaged Regions and Transmigration of Indonesia created a sustainable village development program namely Village’s Sustainable Development Goals (SDGs) and optimized the village potential data. This study aimed to design the smart village – smart economy classification system by using deep learning methods on village potential data on Indonesia at 2020. The method used in this study is data mining processes namely KDD (Knowledge Discovery and Data mining). The result in this study showed the best models were obtained which consisting of 2 hidden layers and each layer is 128, 128 layers which using target class from the process of calculating the score is able to reach 94.93% of the accuracy from the training process and 96% on the testing process and succeeded to classify the potentials of smart village – smart economy.]]>
<![CDATA[Procrustes Analysis of Indonesian Mortality Table Iv and Indonesia's Death Rate During Covid-19 Pandemic ]]>
<![CDATA[Fanny Novika]]>;
<![CDATA[Revi Meliyani]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i2.148
<![CDATA[The level of accuracy to calculate the premium is one of the main points for an actuary to determine the criteria of product which is offered by an insurance company to customers. The main reference in this accuracy is the mortality table. The last mortality table made by AAJI (Asosiasi Asuransi Jiwa Indonesia) was Mortality Table Indonesia (MTI) IV which was published in 2019. However, unexpectedly, the Covid-19 pandemic occurred in early 2020 which caused the death rate to be higher than normal situation. This study aims to compare MTI IV which was made with assumptions before the Covid-19 pandemic according to the death rate in Indonesia during the Covid-19 pandemic. This study uses secondary data, by finding the probability of death in Indonesia by calculating the death rate in Indonesia based on population data according to age group classifications obtained from BPS (Badan Pusat Statistik) Indonesia. Furthermore, both data were compared using Procrustes analysis to calculated the level of conformity. The results showed that 75.97% of the data matched MTI IV with the death rate during the pandemic. If the insurance company wants more accurate results, they can be adjusted to the Indonesian Mortality Table using data during the pandemic. If it is quite satisfied with the accuracy of 75.97%, the company can continue to use MTI IV.]]>
<![CDATA[Application of Artificial Intelligence in Modern Ecology for Detecting Plant Pests and Animal Diseases ]]>
<![CDATA[Dem Vi Sara]]>;
<![CDATA[MDD Maharani]]>;
<![CDATA[Hafiza Farwa Amin]]>;
<![CDATA[Yaya Sudarya Triana]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i2.149
<![CDATA[Climate change could lead to an increase in diseases in plants and animals. Plant pathogens have caused devastating production losses, such as in tropical countries. The development of algorithms that match the accuracy of plant and animal disease detection in predicting the toxicity of substances has continued through a massive database. Data and information from 10,000 substances from more than 800,000 animal tests have been carried out to generate the algorithms. Plant and animal disease detection using artificial intelligent in the modern ecological era is important and needed. Diseases in animals are still found in several Ruminant-Slaughterhouses. The purpose of the study is to identify the leverage attributes for using of Artificial Intelligent (AI) in detecting plant pests and animal diseases. The use of Multidimensional Scaling (MDS) produces a leverage attribute for the use of AI in detecting plant pests and animal diseases. The results showed that leverage attributes found were: Prediction of the presence of proteins structures produced by pathogens with a Root Mean Square (RMS) value of 4.5123; and Plant and Animal Disease Data will be opened with an RMS value of 4.2555. The findings of this study in the real world are to produce the development of smart agricultural applications in detecting plant pests and animal diseases as an early warning system. In addition, the application is also useful for eco-tourism managers who have a natural close relationship with plants and animals, so that ecological security in the modern ecological era, can be better maintained.]]>
<![CDATA[Production Technology for Adding GDL (Glucono Delta Lactone) to Soy-Based Foods ]]>
<![CDATA[Athila Safira Rahma]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i2.150
<![CDATA[The technology of adding Glucono Delta Lactone (GDL) to food made from soybeans is gaining popularity because it has many advantages. GDL is an acid that functions to coagulate proteins. GDL is a food additive that is Generally Recognized as Safe (GRAS). GDL has been applied in soy-based products such as tempeh and tofu. The use of GDL in tempeh products can reduce the acidification time of tempeh to 2-3 hours so that the production capacity of tempeh can increase significantly and reduce the amount of water used in the production process. The use of GDL in tofu is as a coagulant which makes the quality of tofu better than other agglomerates. The main objective of this paper is to provides an explanation of the application of GDL to soy-based foods. So, GDL can be used as an innovation to develop soybean-based food industries. It begins from describing about GDL, provides comparison between natural soy-based food and soy-based foods with GDL from study literature. Then moves to the application of GDL in tempeh, the application of GDL in tofu, and Back-Slopping technology.]]>
<![CDATA[Principal Component Regression in Statistical Downscaling with Missing Value for Daily Rainfall Forecasting ]]>
<![CDATA[M Dika saputra]]>;
<![CDATA[Alfian Futuhul Hadi]]>;
<![CDATA[Abduh Riski]]>;
<![CDATA[Dian Anggraeni]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 2 No. 3 (2021): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v2i3.151
<![CDATA[Drought is a serious problem that often arises during the dry season. Hydrometeorologically, drought is caused by reduced rainfall in a certain period. Therefore, it is necessary to take the latest actions that can overcome this problem. This research aims to predict the potential for a drought to occur again in the Kupang City, Indonesia by developing a rainfall forecasting model. Incomplete daily local climate data for Kupang City is an obstacle in this analysis of rainfall forecasting. Data correction was then carried out through imputed missing values using the Kalman Filter method with Arima State-Space model. The Kalman Filter and Arima State-Space model (2,1,1) produces the best missing data imputation with a Root Mean Square Error (RMSE) of 0.930. The rainfall forecasting process is carried out using Statistical Downscaling with the Principal Component Regression (PCR) model that considers global atmospheric circulation from the Global Circular Model (GCM). The results showed that the PCR model obtained was quite good with a Mean Absolute Percent Error (MAPE) value of 2.81%. This model is used to predict the daily rainfall of Kupang City by utilizing GCM data.]]>
