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Analisis Pembangunan Infrastruktur Jalan terhadap Pertumbuhan Ekonomi UMKM di Bukit Gado-Gado Kota Padang Adif, Riandy Mardhika; Hendri, Rifki; Almizan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

This study aims to determine the analysis of road infrastructure development (X) on the economic growth of MSMEs (Y) in Gado-Gado hill. Infrastructure is the answer to the needs of countries that want to boost economic growth, by helping reduce poverty, improve the quality of life, support the growth of economic centers and increase the mobility of goods and services. Research is a field (Field Research), namely research that takes data directly to the field, this research uses a quantitative approach. The sampling technique was purposive sampling and the number of samples in this study was 51 SMEs. This study uses the Simple Linear Regression model as an analytical tool using the SPSS 21 tool. The results of this study indicate that road Infrastructure Development (X) has a positive and significant effect on MSME economic growth with a tcount value of 6.963> from ttable 1.676 and a significant value resulting in a value of 0.000 <0.05.

Analisis Faktor-Faktor yang Mempengaruhi Produksi Gambir di Kecamatan Sutera Kabupaten Pesisir Selatan Almizan; Cahyani, Rahma; Ihsandi, Aslan Deri; Irsadunas
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 2 (June 2023)
Publisher : SAFE-Network

Productivity and product quality are very low due to cultivation methods and post-harvest processes and gambier processing that are not optimal and the lack of technological support for gambier processing. The very low level of productivity causes the amount of production produced to also be low. The decrease in the value of gambier productivity indicates that there has been inefficiency of farmers in allocating existing production factors. This research is associative with a quantitative approach. The population in this study were 18,547 gambier farmers and the sampling technique was random sampling. So in this study using a sample of 100 respondents. This study uses Multiple Linear Regression Analysis with the help of SPSS version 25. The purpose of this study was to analyze the influence of the use of production factors in the form of land area, labor, gambier prices on gambier production. The results showed that the variables of land area and labor could increase the amount of gambier production positively and significantly. Gambier price variable has a positive and insignificant effect on the amount of gambier production.

Paragdima Integratif Multidisipliner dalam Mempersiapkan pada Program Studi Ekonomi Syariah Berdayasaing Ihsandi, Aslan Deri; Almizan; Daredmi, Salsabila
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 4 (December 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i4.767

The adoption of the Independent Learning Campus (MBKM) model in the development of the Sharia Economics curriculum is urgent to improve the quality of education to prepare students to face the complexities of the world of work that meets the needs of industry. This study explores the design of the multi-disciplinary integrated paradigm MBKM curriculum in the Sharia Economics study program at UIN Imam Bonjol Padang. This study belongs to the type of research and development with a 4-D (four D) development model. The population consists of students, lecturers, alumni and graduate users, with a sample size of 124. The research results found that the MBKM model with a multidisciplinary integrative paradigm received a high level of agreement of 87%. This indicates that the MBKM approach is considered effective in improving cross-disciplinary skills. In this regard, the development of the Sharia Economics curriculum at UIN Imam Bonjol Padang using an integrative, multidisciplinary MBKM model promises progressive steps, providing freedom to students, and increasing the relevance of graduates to industry needs, creating professionals who are ready to face the dynamics of the world of work.

Faktor-Faktor yang Mempengaruhi Ketimpangan Ekonomi Kabupaten/Kota di Provinsi Jambi Almizan; Santo; Irsadunas
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.838

This research is entitled Factors Influencing District/City Economic Inequality in Jambi Province in 2015-2018. This study aims to analyze the effect of Agglomeration, Labor, and Investment on Regency/City Economic Inequality in Jambi Province in 2015-2018. The analytical method used in this study is panel data regression for the 2015-2018 period which comes from the Jambi Central Bureau of Statistics. Statistical testing includes Common, Fixed, and Random tests, as well as conducting the Chow Test and Hausman Test to obtain the test to be selected. The results of the data analysis show that among the three agglomeration variables (X1) it has a sig. (0.040) < (0.05), so it partially has a significant effect on economic inequality in Jambi Province in 2015-2018. Labor variable (X2) has a sig. (0.8846) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Investment (X3) Investment (X3) has a sig. (0.407) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Simultaneously obtain a calculated F value of 4.460 with a Probability value (Prob F-statistic) of 0.000. Because the probability value is 0.000 <0.05 (α) and F count (358.6774) > F table (2.78), it can be concluded that all independent variables namely agglomeration, number of workers, investment together have a significant effect on economic inequality in Jambi Province from 2015 to 2018. Based on the value of the coefficient of determination, the independent variables in the equation, namely agglomeration, labor, and investment jointly affect 65.9% of economic inequality in Jambi Province in 2015-2018, while the remaining 24.1% is explained by other factors outside the model.

Analisis Faktor-Faktor yang Mempengaruhi Produksi Gambir di Kecamatan Sutera Kabupaten Pesisir Selatan Almizan; Cahyani, Rahma; Ihsandi, Aslan Deri; Irsadunas
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 2 (June 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i2.235

Productivity and product quality are very low due to cultivation methods and post-harvest processes and gambier processing that are not optimal and the lack of technological support for gambier processing. The very low level of productivity causes the amount of production produced to also be low. The decrease in the value of gambier productivity indicates that there has been inefficiency of farmers in allocating existing production factors. This research is associative with a quantitative approach. The population in this study were 18,547 gambier farmers and the sampling technique was random sampling. So in this study using a sample of 100 respondents. This study uses Multiple Linear Regression Analysis with the help of SPSS version 25. The purpose of this study was to analyze the influence of the use of production factors in the form of land area, labor, gambier prices on gambier production. The results showed that the variables of land area and labor could increase the amount of gambier production positively and significantly. Gambier price variable has a positive and insignificant effect on the amount of gambier production.

Faktor-Faktor yang Mempengaruhi Ketimpangan Ekonomi Kabupaten/Kota di Provinsi Jambi Almizan; Santo; Irsadunas
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.838

This research is entitled Factors Influencing District/City Economic Inequality in Jambi Province in 2015-2018. This study aims to analyze the effect of Agglomeration, Labor, and Investment on Regency/City Economic Inequality in Jambi Province in 2015-2018. The analytical method used in this study is panel data regression for the 2015-2018 period which comes from the Jambi Central Bureau of Statistics. Statistical testing includes Common, Fixed, and Random tests, as well as conducting the Chow Test and Hausman Test to obtain the test to be selected. The results of the data analysis show that among the three agglomeration variables (X1) it has a sig. (0.040) < (0.05), so it partially has a significant effect on economic inequality in Jambi Province in 2015-2018. Labor variable (X2) has a sig. (0.8846) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Investment (X3) Investment (X3) has a sig. (0.407) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Simultaneously obtain a calculated F value of 4.460 with a Probability value (Prob F-statistic) of 0.000. Because the probability value is 0.000 <0.05 (α) and F count (358.6774) > F table (2.78), it can be concluded that all independent variables namely agglomeration, number of workers, investment together have a significant effect on economic inequality in Jambi Province from 2015 to 2018. Based on the value of the coefficient of determination, the independent variables in the equation, namely agglomeration, labor, and investment jointly affect 65.9% of economic inequality in Jambi Province in 2015-2018, while the remaining 24.1% is explained by other factors outside the model.

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