V. Vydia, S. Susanto, S. Handayani, Maulana Bahrul Alam
The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic.
{"title":"The Selection of Learning Platforms to Support Learning Using Fuzzy Multiple Attribute Decision Making","authors":"V. Vydia, S. Susanto, S. Handayani, Maulana Bahrul Alam","doi":"10.46336/ijqrm.v3i1.257","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.257","url":null,"abstract":"The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88462746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Zein, O. Rohaeni, F. Badruzzaman, Yusuf Fajar, D. Suhaedi, Erwin Harahap
Technology is present and becomes a part of human life. Each era has its own technological advantages. The history of technology begins millions of years ago. The first technology discovered by mankind was to create sharp stone chips which were used as stones. Then humans began to develop and found several technologies, one of which was computers and the internet. computers and the internet have a close relationship, especially in today's era where all activities cannot be separated from computers and the internet. One of these activities is in the office world. The Bandung City Health Office is a government agency that has a lot of data, especially in the section where the author is placed, namely the Division of Human Resources and Health or SDMK. The SDMK Division is tasked with receiving data on the credit score of a functional position from the assessment team to calculate whether a functional position is eligible for promotion or not. On that basis, the purpose of this paper is to create an application for inputting the credit score for a functional position based on a web database to make it easier for the assessment team, SDMK to view, recap and change credit scores as well as a functional position in viewing its credit score. The main finding is a web database-based application called E-PAK.
{"title":"Value Input Application (E-Pak) Functional Position of Bandung City Health Department Based on Web Database","authors":"S. Zein, O. Rohaeni, F. Badruzzaman, Yusuf Fajar, D. Suhaedi, Erwin Harahap","doi":"10.46336/ijqrm.v3i1.255","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.255","url":null,"abstract":"Technology is present and becomes a part of human life. Each era has its own technological advantages. The history of technology begins millions of years ago. The first technology discovered by mankind was to create sharp stone chips which were used as stones. Then humans began to develop and found several technologies, one of which was computers and the internet. computers and the internet have a close relationship, especially in today's era where all activities cannot be separated from computers and the internet. One of these activities is in the office world. The Bandung City Health Office is a government agency that has a lot of data, especially in the section where the author is placed, namely the Division of Human Resources and Health or SDMK. The SDMK Division is tasked with receiving data on the credit score of a functional position from the assessment team to calculate whether a functional position is eligible for promotion or not. On that basis, the purpose of this paper is to create an application for inputting the credit score for a functional position based on a web database to make it easier for the assessment team, SDMK to view, recap and change credit scores as well as a functional position in viewing its credit score. The main finding is a web database-based application called E-PAK.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90249347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to determine and analyze differences in financial performance and stock prices before and after Covid-19 incigarette companies. Financial performance in this study is measured using three ratios namely Return on Asset (ROA), OperatingProfit Margin (OPM) and Net Profit Margin (NPM). The data used in this study is secondary data from the type of financialstatements of Cigarette Companies from the Indonesia Stock Exchange (IDX) website and the official website of cigarettecompanies, and the sampling method used is sampling census because the samples used in this study are the financial statements ofthe entire population of Cigarette Companies registered with the IDX in the third quarter of 2019 to the fourth quarter of 2020. Theanalysis method in this study is the wilcoxon test using SPSS 26. Based on the results of research obtained show Return on Assets(ROA), Operating Profit Margin (OPM) and stock price showed no significant differences before and after Covid-19. Net ProfitMargin (NPM) shows significant differences before and after Covid-19. To find out and analyze the state of cigarette companies inthe Covid-19 pandemic and also as a consideration for investors and business people in policy making
{"title":"The Impact of Covid-19 on Financial Performance and Share Price on Cigarette Companies Listed on Indonesia Stock Exchange (IDX)","authors":"Nita Rislawati, Nardi Nardi, Asmadhini Handayani Rahmah, Fitriansyah Fitriansyah","doi":"10.46336/ijqrm.v3i1.259","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.259","url":null,"abstract":"This study aims to determine and analyze differences in financial performance and stock prices before and after Covid-19 incigarette companies. Financial performance in this study is measured using three ratios namely Return on Asset (ROA), OperatingProfit Margin (OPM) and Net Profit Margin (NPM). The data used in this study is secondary data from the type of financialstatements of Cigarette Companies from the Indonesia Stock Exchange (IDX) website and the official website of cigarettecompanies, and the sampling method used is sampling census because the samples used in this study are the financial statements ofthe entire population of Cigarette Companies registered with the IDX in the third quarter of 2019 to the fourth quarter of 2020. Theanalysis method in this study is the wilcoxon test using SPSS 26. Based on the results of research obtained show Return on Assets(ROA), Operating Profit Margin (OPM) and stock price showed no significant differences before and after Covid-19. Net ProfitMargin (NPM) shows significant differences before and after Covid-19. To find out and analyze the state of cigarette companies inthe Covid-19 pandemic and also as a consideration for investors and business people in policy making","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87793669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays, Personal care products grow rapidly every year even in a red ocean industry. With changes in this digital era, personal care companies have to innovate in order to survive and grow. One of the ways is the use of digital marketing. There are many ways to do digital marketing and one of the popular methods is social media influencers. However, with so many new influencers on social media, marketers find it challenging to choose the right influencers to promote their products because not every influencer brings a significant impact. Choosing the wrong influencers could cause the business to lose money and harm the image of a product or a brand. On the other hand, choosing the right influencers may lead to the popularity of the product and an increase in sales. Based on that, this research is focusing on the influencers from the consumer’s point of view, in order to know the type of influencers that fit with the product offered. This research is based on literature study that describes Influencer credibility has a positive impact on consumers' purchase intention, attitude towards products, and advertising. Moreover, Influencer credibility could describe and evaluate an influencer based on their attractiveness, trustworthiness, and expertise.
{"title":"The Influence of Social Media Influencers on Purchase Intention of Local Personal Care Products","authors":"Feliciana Yovita Saputra, W. Dewobroto","doi":"10.46336/ijqrm.v3i1.253","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.253","url":null,"abstract":"Nowadays, Personal care products grow rapidly every year even in a red ocean industry. With changes in this digital era, personal care companies have to innovate in order to survive and grow. One of the ways is the use of digital marketing. There are many ways to do digital marketing and one of the popular methods is social media influencers. However, with so many new influencers on social media, marketers find it challenging to choose the right influencers to promote their products because not every influencer brings a significant impact. Choosing the wrong influencers could cause the business to lose money and harm the image of a product or a brand. On the other hand, choosing the right influencers may lead to the popularity of the product and an increase in sales. Based on that, this research is focusing on the influencers from the consumer’s point of view, in order to know the type of influencers that fit with the product offered. This research is based on literature study that describes Influencer credibility has a positive impact on consumers' purchase intention, attitude towards products, and advertising. Moreover, Influencer credibility could describe and evaluate an influencer based on their attractiveness, trustworthiness, and expertise.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81963538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Philippines is an agrarian-based tourism country, millions of tourists come to visit every year. However, most of the first-time visitors leave the question of why so few people decide to return for a tour of the Philippines' tourist destinations. This study aims to determine how the influence of the image of the destination, the experience of tourists on the intention to revisit through the value received and the satisfaction of tourists at tourist destinations in the Philippines. The research method used is quantitative, the sampling technique uses non-probability sampling and a sample of 287 respondents is obtained, the analytical tool used is Path Analysis and the hypothesis uses a significance test using SEM AMOS and SPSS analysis tools. The results of this study indicate that direct testing of the tourist experience variable affects revisit intention in tourist destinations in Philippines, then for direct testing the perceived value variable has a significant effect on tourist satisfaction at tourist destinations in the Philippines, then tourist satisfaction is able to mediate the relationship between tourist experience and revisit intention.
{"title":"Factors Influencing Philippines Tourist’ Revisit Intention: The Role and Effect of Destination Image, Tourist Experience, Perceived Value, and Tourist Satisfaction","authors":"Angelo Libre, Aldaba Manalo, Grida Saktian Laksito","doi":"10.46336/ijqrm.v3i1.260","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.260","url":null,"abstract":"The Philippines is an agrarian-based tourism country, millions of tourists come to visit every year. However, most of the first-time visitors leave the question of why so few people decide to return for a tour of the Philippines' tourist destinations. This study aims to determine how the influence of the image of the destination, the experience of tourists on the intention to revisit through the value received and the satisfaction of tourists at tourist destinations in the Philippines. The research method used is quantitative, the sampling technique uses non-probability sampling and a sample of 287 respondents is obtained, the analytical tool used is Path Analysis and the hypothesis uses a significance test using SEM AMOS and SPSS analysis tools. The results of this study indicate that direct testing of the tourist experience variable affects revisit intention in tourist destinations in Philippines, then for direct testing the perceived value variable has a significant effect on tourist satisfaction at tourist destinations in the Philippines, then tourist satisfaction is able to mediate the relationship between tourist experience and revisit intention.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80423282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indonesia has made the tourism sector one of its current development priorities. However, the Covid-19 pandemic has harmed various economic sectors, and the tourism sector is the most affected in Indonesia. As a result of policies carried out by various countries including Indonesia, such as lockdown, social distancing, and its kind, economic activity has slowed, tourist arrivals have decreased drastically, and investment has decreased due to the uncertainty caused by the pandemic. This study aims to examine the effect of the Covid-19 pandemic on tourist arrivals and investment (domestic and foreign investment) and its impact on the economic growth of the tourism sector in Indonesia. This study uses the path analysis method by using mediating variables, namely tourist arrivals, and investment paths. Panel data regression is used to regress the path analysis equation, with data series 2018q1 – 2021q2 and cross-sections in 22 provinces in Indonesia that have tourist entrances.
{"title":"Impact of Covid-19 Pandemic on Economic Growth of the Tourism Sector in Indonesia","authors":"Mursalina Mursalina, R. Masbar, S. Suriani","doi":"10.46336/ijqrm.v3i1.261","DOIUrl":"https://doi.org/10.46336/ijqrm.v3i1.261","url":null,"abstract":"Indonesia has made the tourism sector one of its current development priorities. However, the Covid-19 pandemic has harmed various economic sectors, and the tourism sector is the most affected in Indonesia. As a result of policies carried out by various countries including Indonesia, such as lockdown, social distancing, and its kind, economic activity has slowed, tourist arrivals have decreased drastically, and investment has decreased due to the uncertainty caused by the pandemic. This study aims to examine the effect of the Covid-19 pandemic on tourist arrivals and investment (domestic and foreign investment) and its impact on the economic growth of the tourism sector in Indonesia. This study uses the path analysis method by using mediating variables, namely tourist arrivals, and investment paths. Panel data regression is used to regress the path analysis equation, with data series 2018q1 – 2021q2 and cross-sections in 22 provinces in Indonesia that have tourist entrances.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86666665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study analyzes the effect of special autonomy funds on physical infrastructure, education, health, and poverty as well as its effect on economic growth in Aceh Province. The effect seen is the direct or indirect effect that occurs between the realization of special autonomy funds on economic growth in Aceh Province. The physical infrastructure variables represented by the length of the road, education represented by the average length of schooling, health represented by life expectancy, and poverty represented by the percentage of poor population were intervening variables. The intervening variable is a variable that is considered capable of mediating between the independent variables and the dependent variable. The analysis model used in this study is path analysis so as to be able to see the direct and indirect effects of an independent variable on the dependent variable. The results found in this study are the realization of special autonomy funds has a direct effect on economic growth. While the indirect effect is given by the variable realization of special autonomy funds on economic growth through the length of the road, life expectancy, and the percentage of poor people. The variable of average length of schooling does not have an indirect effect between the realization of special autonomy funds on the economic growth of Aceh Province.
{"title":"Transmission of Special Autonomic Funds in the Economy through Mediation Variables","authors":"Sri Wulan Wijayanti, A. Jamal, P. Syathi","doi":"10.46336/ijqrm.v2i3.174","DOIUrl":"https://doi.org/10.46336/ijqrm.v2i3.174","url":null,"abstract":"This study analyzes the effect of special autonomy funds on physical infrastructure, education, health, and poverty as well as its effect on economic growth in Aceh Province. The effect seen is the direct or indirect effect that occurs between the realization of special autonomy funds on economic growth in Aceh Province. The physical infrastructure variables represented by the length of the road, education represented by the average length of schooling, health represented by life expectancy, and poverty represented by the percentage of poor population were intervening variables. The intervening variable is a variable that is considered capable of mediating between the independent variables and the dependent variable. The analysis model used in this study is path analysis so as to be able to see the direct and indirect effects of an independent variable on the dependent variable. The results found in this study are the realization of special autonomy funds has a direct effect on economic growth. While the indirect effect is given by the variable realization of special autonomy funds on economic growth through the length of the road, life expectancy, and the percentage of poor people. The variable of average length of schooling does not have an indirect effect between the realization of special autonomy funds on the economic growth of Aceh Province.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"82 24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83175269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Runanto Runanto, Muhammad Fahmi Mislahudin, Fauzan Azmi Alfiansyah, Maudy Khairunnisa Maisun Taqiyyah, E. T. Tosida
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.
印尼的城乡发展差距仍然存在。它的发生是因为大规模的城市化因素。印度尼西亚农村的贫困率相对高于城市。为了最大限度地实现城市发展，印度尼西亚农村、弱势地区发展和移民部制定了可持续的村庄发展计划，即村庄可持续发展目标(sustainable development Goals, SDGs)，并优化了村庄潜力数据。本研究旨在利用深度学习方法对印度尼西亚2020年的村庄潜力数据进行智能村庄-智能经济分类系统的设计。本研究使用的方法是数据挖掘过程，即KDD(知识发现和数据挖掘)。研究结果表明，得到的最佳模型由2个隐层组成，每层为128层，128层中使用目标类计算分数的准确率达到训练过程准确率的94.93%和测试过程准确率的96%，成功地对智慧村-智慧经济潜力进行了分类。
{"title":"Potential classification of Smart Village – Smart Economy with Deep Learning methods","authors":"Runanto Runanto, Muhammad Fahmi Mislahudin, Fauzan Azmi Alfiansyah, Maudy Khairunnisa Maisun Taqiyyah, E. T. Tosida","doi":"10.46336/ijqrm.v2i3.147","DOIUrl":"https://doi.org/10.46336/ijqrm.v2i3.147","url":null,"abstract":"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.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83398095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to analyze the effect of energy resources, energy consumption, and road infrastructure on economic growth and their effect on CO2 emissions in Indonesia. This study uses time series data in Indonesia for the period 2000 to 2019 and the analytical model used is the Auto Regressive Distributed Lag (ARDL) model. The results found in this study are variables that have a significant effect on economic growth in the short term are road infrastructure in the same period, in the previous period, as well as in the previous 2 periods and resources. Meanwhile, the ones that have a significant effect in the long term are road infrastructure and energy resources. Variables that have a significant effect on CO2 emissions in the short term are road infrastructure, energy consumption in the previous period, economic growth in the previous period, energy consumption and energy resources. While the variables that influence in the long term are economic growth and energy resources.
{"title":"The Effect of Energy Consumption, Energy Resources, Economic Growth, and Road Infrastructure on Co2 Emissions in Indonesia","authors":"Z. Zulfikar, S. Syahnur, M. Majid","doi":"10.46336/ijqrm.v2i3.173","DOIUrl":"https://doi.org/10.46336/ijqrm.v2i3.173","url":null,"abstract":"This study aims to analyze the effect of energy resources, energy consumption, and road infrastructure on economic growth and their effect on CO2 emissions in Indonesia. This study uses time series data in Indonesia for the period 2000 to 2019 and the analytical model used is the Auto Regressive Distributed Lag (ARDL) model. The results found in this study are variables that have a significant effect on economic growth in the short term are road infrastructure in the same period, in the previous period, as well as in the previous 2 periods and resources. Meanwhile, the ones that have a significant effect in the long term are road infrastructure and energy resources. Variables that have a significant effect on CO2 emissions in the short term are road infrastructure, energy consumption in the previous period, economic growth in the previous period, energy consumption and energy resources. While the variables that influence in the long term are economic growth and energy resources.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79629672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to analyze the effect of inflation, bank credit, and SMI investment on the growth of small and medium industries in Aceh Province. This study uses panel data consisting of 23 districts/cities in Aceh Province during the period 2014 to 2020. The analysis model used in this study is a panel data regression model. The results found in this study are variables that have a significant effect on the growth of SMIs in Aceh Province are inflation and investment in SMIs. Meanwhile, the banking credit variable has not had a statistically significant effect on the growth of SMIs. The inflation variable has a negative and significant effect on the growth of SMIs so that uncontrolled inflation will have a negative impact on the growth of SMIs. Meanwhile, SMI investment has a positive and significant impact on the growth of SMIs so that various targeted investment policies are needed so that they can support the development of SMIs in Aceh Province.
{"title":"The Effects of Monetary Variables on the Growth of Small and Medium Industry in Aceh Province","authors":"Ade Habya Fijay, Vivi Silvia, C. Seftarita","doi":"10.46336/ijqrm.v2i3.175","DOIUrl":"https://doi.org/10.46336/ijqrm.v2i3.175","url":null,"abstract":"This study aims to analyze the effect of inflation, bank credit, and SMI investment on the growth of small and medium industries in Aceh Province. This study uses panel data consisting of 23 districts/cities in Aceh Province during the period 2014 to 2020. The analysis model used in this study is a panel data regression model. The results found in this study are variables that have a significant effect on the growth of SMIs in Aceh Province are inflation and investment in SMIs. Meanwhile, the banking credit variable has not had a statistically significant effect on the growth of SMIs. The inflation variable has a negative and significant effect on the growth of SMIs so that uncontrolled inflation will have a negative impact on the growth of SMIs. Meanwhile, SMI investment has a positive and significant impact on the growth of SMIs so that various targeted investment policies are needed so that they can support the development of SMIs in Aceh Province.","PeriodicalId":14309,"journal":{"name":"International Journal of Quantitative Research and Modeling","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79360408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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