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
97 Documents
<![CDATA[Packaging Innovation of Local Product Fermentation of Kania Dairy Farmers Group in Tajur Halang Village, Cijeruk, Bogor ]]>
<![CDATA[Meilisha Putri Pertiwia]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 2 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i2.27
<![CDATA[Community service program (PKM) for packaging innovation of local product fermentation of Kania Diary Farmers Group in Tajur Halang Village, Cijeruk Subdistrict, Bogor Regency has been conducted. It was held from April to Juli 2019. It aimed to empower Kania Diary Farmers Group in innovating milk fermentation product, introducing nutrition fact of es mambo kefir, and introducing well-packaged product. Its method were literature studied for an interesting packaging, field obeservation, kefir mambo ice production, nutrition analysed using proximat analysis, explanation about nutrition facts, implementation well-packaging, and discussion between instructors and Kania Group. After analysing the kefir mambo ice, it yielded 35 cal for 50 g/serving. It also contained 1 g protein, 1.5 g fat, and 1 g carbohydrate for 35 g/serving. All the nutrition containing in kefir mambo ice is good for a healthy body. Kania group members looked so enthusiasm and excited during the training. Hopefully, through this training, Kania group will develop better pacakaging for every single of its product. ]]>
<![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) ]]>
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[ON QUASI NEWTON METHOD FOR SOLVING FUZZY NONLINEAR EQUATIONS ]]>
<![CDATA[Umar A Omesa]]>;
<![CDATA[Mustafa Mamat]]>;
<![CDATA[Ibrahim M Sulaiman]]>;
<![CDATA[Sukono Sukono]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 1 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i1.1
<![CDATA[This paper presents Quasi Newton’s (QN) approach for solving fuzzy nonlinear equations. The method considers an approximation of the Jacobian matrix which is updated as the iteration progresses. Numerical illustrations are carried, and the results shows that the proposed method is very encouraging.]]>
<![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[Fuzzy Decision Tree to Predict Student Success in Their Studies ]]>
<![CDATA[Heri Bambang Santoso]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i3.59
<![CDATA[The number of students graduating on time is one of the important aspects in the assessment of accreditation of a university. But the problem is still a lot of students who exceed the target time of graduation. Therefore, the prediction of graduation on time can serve as an early warning for the university management to prepare strategies related to the prevention of cases of drop out. The purpose of this research is to build a model using fuzzy decision tree to form the classification rules are used to predict the success of a student's study using fuzzy inference system. Results of this study was generated model of the number of classification rules are 28 rules when the value θr is 98% and θn is 3%, with the level of accuracy is 95.85%. Accuracy of Fuzzy ID3 algorithm is higher than ID3 algorithms in predicting the timely graduation of students.]]>
<![CDATA[STOCK PORTFOLIO ANALYSIS USING MARKOWITZ MODEL ]]>
<![CDATA[Indah Nur Nur Safitri]]>;
<![CDATA[Sudradjat Sudradjat]]>;
<![CDATA[Eman Lesmana]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 1 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i1.6
<![CDATA[A common problem that often occurs in investment is the selection of the optimal portfolio according to the wishes of investors. This thesis ueds the Markowitz Model as a basis to formed a model to choose the optimal portfolio that provided the lowest risk. Efforts to minimize risk were carried out by conducting a diversification strategy. After the selection of several companies with the criteria of capitalization value and DER (Debt Equity Ratio), a combination of stocks is formed to form a portfolio. The formed portfolio was then analyzed to determine the optimal proportion of each stock. Using the Markowitz model, which is then solved by Non Linear Programming, an optimal portfolio is obtained with the proportion of each stock minimizing risk. In general, the results of this analysis indicate that portfolios with more stocks will produce lower risks compared to portfolios with fewer stocks, thus providing optimal diversification solutions, namely portfolios with members of five stocks with optimal risk of 0.886%.]]>
<![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) ]]>
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[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[Empowerment of Gunung Sari Village Community Groups, to optimize the potential of the village towards the Tourism Independent Village ]]>
<![CDATA[Prihastuti Harsani]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol 1, No 2 (2020) ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i2.38
<![CDATA[The tourism sector in Gunung Sari Village, Pamijahan District, Bogor Regency, is not the main sector in its community activities. The existence of natural tourism in the form of waterfalls, camping ground and hot springs is a potential for the village to realize the Bogor Regency Mission. Existing tour operators are not residents or village communities. The active participation of village communities has not been seen in the management, operational and maintenance of tourist attractions. The tour paramilitary group 20 can be an agent for villages to empower communities in the tourism sector. Srikandi Gunung Sari group is a community group that involves mothers and produces local food products in the form of banana chips and cassava. In an effort to increase the active participation of village communities in tourism activities in Gunung Sari Village, the empowerment of the Laskar Tourism Group 20 and Srikandi Gunung Sari was carried out through education, workshops, mentoring and facilitation activities. The main target of this activity is the village community who can independently manage, maintain and improve the tourism sector in Gunung Sari village towards a sustainable tourism independent village.]]>
<![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) ]]>
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.]]>
