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[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): International Journal of Quantitative Research and Modeling ]]>
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[Improving the quality of human resources in Ciburuy village staff to improve the quality of public services ]]>
<![CDATA[Deden Ardiansyah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i2.28
<![CDATA[Utilization of computer technology to improve the quality of public services in Ciburuy village cannot be carried out optimally if it is not supported by the readiness of human resources as the parties who use it. readiness of human resources in using computer technology is one of the important factors in terms of public services.Therefore we need a computer technology transfer process that is adequate, right on target and appropriate for Ciburuy village staff, as the main actor in this activity, namely service to the community.Methods of implementing human resource improvement through computer skills training activities through the Microsoft Word Application Program, Microsoft Excel, Microsoft Power Point, databases and networks are carried out through several stages. resulting in an average value of being satisfied and quite satisfied so that public services in Ciburuy village must improve service quality. but the unique thing is seen in the ability of village staff in the service. so that respondents have started to feel satisfied with the services carried out by Ciburuy village staff.]]>
<![CDATA[A New Way to Identify Thin Sheet Behaviour: Micro-In Def ]]>
<![CDATA[Pierrick Malecot Malecot]]>;
<![CDATA[Gemala Hapsari]]>;
<![CDATA[Sebastien Thibaud]]>;
<![CDATA[Fabrice Richard]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i2.33
<![CDATA[Incremental forming is a rapid prototyping process which uses a forming tool toform a sheet metal according to a predetermined trajectory. In this work, a micro incremental deformation test (Micro InDef test) derived from the principle of single point incremental sheet forming is developed and proposed. A complex mechanical loading is applied and has a strong potential for the identication of inelastic behavior using inverse method. In the rst part, this work addresses the parameters identication and validation procedures of ductile damage behavior of ultra-thin sheet metal under very large strain during this instrumented Micro InDef test. An inverse nite element method based on the comparison between numerical and experimental axial forming forces of the micro incremental deformation test is employed to extract a coupled ductile damaged plastic model. In the second part, the objective is to prove the reliability of ductile damage parameters identication using forming force. The richness of data contained in forming force is quantied and compared to the one from tensile test. Firstly, the verication of the estimated parameter's reliability is done via a simple analysis based on the forming force sensitivity to material parameters and secondly by calculating elastoplastic and elastoplastic with ductile damage.]]>
<![CDATA[Meaningful and Memorable Learning: Integrating TPR and Youtube Videos to teach Vocabulary ]]>
<![CDATA[Istiqlaliah Nurul Hidayati]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i2.37
<![CDATA[The teaching of vocabulary is very essential in teaching a particular language. In Indonesia, English is taught from kindergarten up to higher educations. Unfortunately not all of the teachers in those levels especially in kindergartens and primary schools major in English or at least have good English proficiency. That is why English Language Education Study Program, the Faculty of Teacher Trainings and Educational Sciences, Pakuan University always conducts community service to provide trainings to teachers from any part of the city. The first thing done before the community service was doing need analysis. In 2019, the result of the need analysis was the teaching of vocabulary which is fun and meaningful. 28 teachers were involved in this research. They were divided into two groups to conduct experiment. From the experiment, it is proven that the training given to the teachers increase their understanding about TPR and the teaching of vocabulary. The teachers were also given questionnaire to find out their perception on the use of TPR and YouTube and from the questionnaire the teachers think that their knowledge on the teaching using TPR increased their knowledge and they can find benefits in using TPR and YouTube in the classroom namely: the use of TPR itself can help them accommodate students’ different learning styles, teach vocabulary in context so that it is more meaningful, and the teaching learning situation becomes more fun. ]]>
<![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): International Journal of Quantitative Research and Modeling ]]>
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[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): International Journal of Quantitative Research and Modeling ]]>
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[Usability Testing on Android-based KMS for Pregnant Women using the USE Questionnaire ]]>
<![CDATA[Halimah Tus Sadiah]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i3.61
<![CDATA[An Android-based medicines knowledge management system (KMS) application has been built as a result of a research about the usage of medicines on pregnant women. Usability testing is needed to be used to measure the success rate of the implementation of this mobile application. In this study, the Usefulness, Satisfaction and Ease of Use (USE) Questionnaire method is used, with quantitative and qualitative analysis. Based on the test results, it shows that the KMS application for pregnant women has a high usability result, with each component score, namely Usefulness reaches 86%, Ease of Use of 86%, and Satisfaction of 84%. On average, 85% indicates that the Android-based medicines KMS application for pregnant women has high quality attributes in ease of use. In addition, this application already has criteria to meet the needs of users, especially pregnant women, to easily find information and knowledge about medicines that are safe to consume during pregnancy to relieve pain or pregnancy complaints.]]>
<![CDATA[On Generalization of Fibonacci, Lucas and Mulatu Numbers ]]>
<![CDATA[Agung Prabowo]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i3.65
<![CDATA[Fibonacci numbers, Lucas numbers and Mulatu numbers are built in the same method. The three numbers differ in the first term, while the second term is entirely the same. The next terms are the sum of two successive terms. In this article, generalizations of Fibonacci, Lucas and Mulatu (GFLM) numbers are built which are generalizations of the three types of numbers. The Binet formula is then built for the GFLM numbers, and determines the golden ratio, silver ratio and Bronze ratio of the GFLM numbers. This article also presents generalizations of these three types of ratios, called Metallic ratios. In the last part we state the Metallic ratio in the form of continued fraction and nested radicals.]]>
<![CDATA[Data Cleansing Strategies on Data Sets Become Data Science ]]>
<![CDATA[Sardjono Sardjono]]>;
<![CDATA[R. Yadi Rakhman Alamsyah]]>;
<![CDATA[Marwondo Marwondo]]>;
<![CDATA[Elia Setiana]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i3.71
<![CDATA[The digital era very grows up with the increasing using of smartphone and many organization or companies was implemented of a system to support their business. That is who will increase the volume of usage and dissemination of data, neither through open nor closed internet networks. Because there is the need to process large data and how to get it from different store resource, so requirement strategy to process the data according to the rule of good, effective and efficient in activity data cleansing until the data set can be use as mature and very useful information for their business purpose. By using the R languaged who can process large data and has data complexity for the data loaded from different storage resource can be done as well as. To using R languaged maximally, so we have to a basic skill that needed to process the data set which will be used to be data scient for organizations or companies by good data cleansing techniques. In this research on Data Cleansing Strategies on data set owned by organizations,will describe the correct step by step to obtaining data that very useful to be uses as data science for organization so by the data that generated after the data cleansing process is very meaningful and useful for making decisions, other than that this research give basic overview and guide to the beginner all data scientists by doing data cleansing in the way stages and also provides a way to analyze from the result of execution some functions used.]]>
<![CDATA[Data Mining Implementation Using Naïve Bayes Algorithm and Decision Tree J48 In Determining Concentration Selection ]]>
<![CDATA[Budiman Budiman]]>;
<![CDATA[Reni Nursyanti]]>;
<![CDATA[R Yadi Rakhman Alamsyah]]>;
<![CDATA[Imannudin Akbar]]>
<![CDATA[ International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling ]]>
Publisher : <![CDATA[Research Collaboration Community (RCC) ]]>
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DOI: 10.46336/ijqrm.v1i3.72
<![CDATA[Computerization of society has substantially improved the ability to generate and collect data from a variety of sources. A large amount of data has flooded almost every aspect of people's lives. AMIK HASS Bandung has an Informatic Management Study Program consisting of three areas of concentration that can be selected by students in the fourth semester including Computerized Accounting, Computer Administration, and Multimedia. The determination of concentration selection should be precise based on past data, so the academic section must have a pattern or rule to predict concentration selection. In this work, the data mining techniques were using Naive Bayes and Decision Tree J48 using WEKA tools. The data set used in this study was 111 with a split test percentage mode of 75% used as training data as the model formation and 25% as test data to be tested against both models that had been established. The highest accuracy result obtained on Naive Bayes which is obtaining a 71.4% score consisting of 20 instances that were properly clarified from 28 training data. While Decision Tree J48 has a lower accuracy of 64.3% consisting of 18 instances that are properly clarified from 28 training data. In Decision Tree J48 there are 4 patterns or rules formed to determine concentration selection so that the academic section can assist students in determining concentration selection.]]>
