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Analisis Hubungan Kinerja Keuangan Daerah Terhadap Indeks Pembangunan Manusia Etik Winarni; Rahmi Handayani; Ahmad Soleh
J-MAS (Jurnal Manajemen dan Sains) Vol 7, No 1 (2022): April
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jmas.v7i1.369

This study analyzed the financial performance conditions of the region and human development indexes (HDI); relationship of regional financial performance to the human development index (HDI) of Jambi Province. The data analysis method used in this study is a descriptive, quantitative, and qualitative method that is ecplanatory with a library research approach, this study uses secondary data in the period 2010-2019. The data source in the research was obtained from the realization report of the JambiVinnsi Provincial ApBD and the Central Statistics Agency (BPS) of Jambi Province as well as other agencies and literature relevant to this research. The data analysis tools used to answer regional financial performance are models of analysis of fiscal decentralization degrees, regional financial dependence, regional independence, PAD effectiveness and PAD efficiency and to look at the influence and relationship of financial performance on human development indexes used multiple regression models and person correlation models. The results showed that the financial performance of the Jambi Provincial Government was included in the low category, this was indicated from the DDF level with sufficient criteria, KKD with very high criteria, KMD with very lack of criteria, and Shopping Compatibility in sufficient criteria. Furthermore, the ratio of fiscal decentralization degrees and direct spending compatibility has a positive and significant effect on provincial HDI, while on the ratio of regional financial dependence, pad effectiveness and efficiency of PAD Jambi Province has no significant effect on HDI in Jambi Province. as well as regional financial independence, direct spending compatibility and degrees of fiscal decentralization are strongly related to HDI while regional independence is weakly related to HDI.

Evaluasi Keberhasilan Penggunaan Dana Desa (Studi Kasus Desa Maju Jaya Kecamatan Pelepat Ilir, Kabupaten Bungo) Deka Veronica; Etik Winarni; ahmad Soleh
J-MAS (Jurnal Manajemen dan Sains) Vol 5, No 2 (2020): Oktober
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jmas.v5i2.202

Law No. 32 of 2004 on Villages that gives villagers the opportunity to organize and take care of their own households, which is organized by promoting the principles of democracy, participatory, equalization, justice and paying attention to the potential diversity of the region is the starting point of the development change from the periphery. And strengthened by government policy in 2015 the government issued the Village Fund policy, which was marked by the publication of PMK No.49 in 2016. The reforms are a form of seriousness from the government in trying to build the country through the village. But the goodwill is certainly not all can run in accordance with expectations given the competency conditions of human resources and various conditions. Therefore, in this study will evaluate the success of the use of village funds that have been given by the government, whether it has a positive impact on the community economy. This research will be conducted in Pelepat Ilir sub-district with case studies in Maju Jaya Village and Tirta Mulya using quantitative and qualitative descriptive methods. While the data used is primary data and secondary data obtained from interviews, questionnaires and literature from the village. The analytical tools used in this study are models of effectiveness, average difference testing and SWOT analysis. With the ultimate goal of wanting to get the results of the evaluation of the successful use of the Village Fund. The results showed that judged to be successful in the management of village funds, this was shown with an effectiveness rate reaching 100 percent (very effective). Furthermore, the use of Village Funds also has an impact on improving public services and health services but has not had an impact on improving the community economy.

Perbandingan Kinerja Peramalan Kurs di Indonesia Yolanda Sari; Etik Winarni
Ekonomis: Journal of Economics and Business Vol 6, No 1 (2022): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v6i1.487

Fluctuations in the exchange rate on the money market, both appreciating and depreciating, indicate the volatility that occurs in a country's currency with the currencies of other countries. To overcome the magnitude of the impact of exchange rate fluctuations on the economy, a forecasting model is needed that can predict the exchange rate effectively. This study aims to find the exchange rate forecast that produces the best model in analyzing the exchange rate using the Box-Jenkins/ARIMA, ARCH and GARCH models. The data used in this study is secondary data in a time series pattern in the form of Rupiah/USD exchange rate data obtained from Bank Indonesia in daily form (five days a week), starting from January 2, 2015 to December 31, 2021 with out of sample starting from 3 January 2022 to December 31, 2024. Some of these models are compared with each other so that the best model is obtained, and the forecasting results are 782 days ahead. This study shows that the ARIMA (1,1,0) model is better at predicting the exchange rate than the ARCH (1) model which has the smallest RMSE, MAE and MAPE values. Forecasting results on January 3, 2022 are Rp. 14,298.22/USD with actual data of Rp. 14,270.00/USD. There is shadow forecasting starting from January 3, 2022 to February 11, 2022, so the comparison can be seen with the actual data. For investors, companies or parties with an interest in forecasting the exchange rate, they can use the ARIMA (1,1,0) model in predicting the exchange rate for forecasting several periods in the future.

Analysis of the Impact of Covid- Analysis of the Impact of Covid-19 on Sales Volume, Revenue, Income (Case Study of Vegetable Traders at Angso Duo Market, Jambi): Analysis of the Impact of Covid-19 on Sales Volume, Revenue, Income (Case Study of Vegetable Traders at Angso Dua Market, Jambi) Etik Winarni; Iwan Eka Putra; Hario Tamtomo; Muhammad Arif
ILTIZAM Journal of Shariah Economics Research Vol. 5 No. 2 (2021): Iltizam Journal of Shariah Economics Research
Publisher : Islamic Economics Department, Faculty of Islamic Economics and Business, UIN SULTHAN THAHA SAIFUDDIN JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/iltizam.v5i2.1007

This study aims to analyze the impact of Covid-19 on the volume of vegetables, revenue, and income traded by traders before and during Covid-19 at the Angso Duo Market Jambi. The data analyzed using the paired t-test analysis generally examines the difference between two observations. This kind of test is carried out on the subject being tested for the situation before and before the process, or the subject of a similar (similar) pair. Paired t-test in this study, will test whether there are significant differences in the observed variables at the beginning of the observation period and the end of the observation period. The basis for decision making is if the significance level > 0.05, then Ho is accepted, if the significance is <0.05 then Ha is accepted. From the results of the analysis and research discussion From the results of the analysis and discussion of research, the average sales volume of vegetables before Covid-19 was 224,235kg/month and during Covid-19 the volume was 131,285kg/month. This shows that there is a real and significant difference in the volume of vegetable sales before and during Covid-19 at the Angso Duo Jambi Market. Meanwhile, the average vegetable sales revenue before Covid-19 was IDR 68,045,977.01 and during Covid-19 it was IDR 34,816,091.95. This shows that there is a real and significant difference in vegetable receipts before and during Covid-19 at the Angso Duo Jambi Market. And the average vegetable sales income before Covid-19 was IDR 20,452,873.56 and during Covid-19 the income was IDR 72,990,804.59. This shows that there is a real and significant difference in vegetable receipts before and during Covid-19 at the Angso Duo Jambi Main Market.

Analisis Hubungan Pertumbuhan Ekonomi, Angkatan Kerja dan Inflasi di Indonesia: Pendekatan Vector Error Correction Model (VECM) Yolanda Sari; Etik Winarni; Muhammad Amali
Ekonomis: Journal of Economics and Business Vol 7, No 1 (2023): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v7i1.821

The purpose of this research is to analyze the causality and long-term relationship between economic growth, labor force and inflation in Indonesia. This study uses secondary data obtained from the World Bank in the form of annual data with a quantitative descriptive approach using the Vector Error Correction Model (VECM). The results of the study showed that there was no causal relationship between the labor force and economic growth and there was no causal relationship between inflation and economic growth, but there was a one-way relationship between labour force and inflation, namely inflation affects the labor force. In the short term, there was none of the variable had a significant effect on economic growth. The labor force had a positive and insignificant impact on economic growth during 2000-2021 in the short term, while inflation had a negative and insignificant impact on economic growth in 2000-2021 in the short term, but in the long term inflation had a positive and significant impact.

Analisis Pengaruh Upah Minimum, Pendapatan Asli Daerah, Tenaga Kerja dan Pertumbuhan Ekonomi terhadap PDRB Perkapita Provinsi Jambi Etik Winarni; Yolanda Sari; Muhammad Amali
Ekonomis: Journal of Economics and Business Vol 7, No 2 (2023): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v7i2.1394

Per capita income and economic growth are the most important signs of achieving the development of a region. If economic development replaces an undeveloped economic structure with human capital and investment, the prosperity of the population or per capita income will increase. Economic growth can be assessed from the amount of PDRB per capita as part of development, in people's welfare and economic growth is one of the components for increasing people's welfare as measured by PDRB per capita. This study aims to analyze how the influence of UMP, PAD, labor and economic growth on PDRB per capita in Jambi Province. Data analysis in this study used multiple linear regression using the SPSS program. The dependent variable (Y) of this study is PDRB per capita, while the independent variable (X) is the Provincial Minimum Wage, Regional Original Income, Labor, Economic Growth. The results of this study Variable (X1) UMP has a positive and significant effect on PDRB per capita or accepts Ho. The coefficient value of 0.393 shows a positive result, where when the minimum wage increases by 1%, there will be an increase in PDRB per capita of 0.393 percent. Variable (X2) PAD has no negative and insignificant effect on PDRB per capita or rejects Ho. A coefficient value of 0.003 indicates a negative result, which means that if each change in PAD is 1%, there will be a decrease in PDRB Per Capita by 0.003 percent. Variable (X3) TK has no negative and insignificant effect on PDRB per capita or rejects Ho. A coefficient value of 0.044 indicates a negative result, which means that for every 1% growth in the workforce, there will be a decrease in per capita PDRB by 0.044 percent. Variable (X4) Economic Growth has a positive and significant effect on PDRB Per Capita or accepts Ho. The coefficient value of 0.003 shows a positive result, where when the change in economic growth increases by 1%, there will be an addition of 0.003 percent PDRB per capita.

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