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Analisis Optimalisasi Pengelolaan Aset/Barang (Barang Milik Negara) di Kantor Dinas Pekerjaan Umum Provinsi Jambi Etik Winarni; Yolanda Sari
Jurnal Ilmiah Universitas Batanghari Jambi Vol 20, No 1 (2020): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (740.046 KB) | DOI: 10.33087/jiubj.v20i1.860

Abstract

Good asset management will contribute greatly to local governments, on the contrary if the management is bad it will also have a negative impact on the local government. Based on the background above, the researcher is interested in further analyzing the "Analysis of Optimizing the Management of Assets / Goods (State Property) in the Office of the Provincial Public Works Office of 2017-2018". Data were analyzed using validity and reliability tests for questionnaire data and Multiple Linear Regression analysis. From the results of the analysis of the results of the analysis and discussion of research on the optimality of asset management (State Property) at the Office of Public Works and Public Housing in Jambi Province which includes planning, implementation, as well as guidance, supervision, control, it can be concluded that the first hypothesis states that there is no influence significant between the planning of the optimal level of management of assets / goods (State Property) in the office of the Public Works and Housing Agency of Jambi Province in this study proved, because it does not have a positive and insignificant effect. The second hypothesis states that it has a significant influence between implementation of the optimal level of management of assets / goods (State Property) in the office of the Public Works and Public Housing Office of Jambi Province in this study is proven, because it has a positive and significant effect. The third hypothesis which states that has a positive and significant influence between the Development, supervision and control of the optimal level of management of assets / goods (State Property) at the Office of Public Works and Public Housing in the Province of Jambi in this study is proven, because it has a positive influence and significant.
PERAMALAN PENERIMAAN BEA CUKAI INDONESIA Yolanda Sari; Nurlia Fusfita
Ekonomis: Journal of Economics and Business Vol 2, No 1 (2018): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.056 KB) | DOI: 10.33087/ekonomis.v2i1.38

Abstract

The revenue of customs and excise is very important in APBN. By making accurate estimation, target of revenue can be better determined. In addition, the revenue of customs and excise is also influenced by many external factors that are difficult to predict therefore a rational approach is needed to estimate revenue. This research uses Double Exponential Smoothing, Ordinary Least Square (OLS) model and Moving Average in predicting customs and excise revenue. Data used in this research is secondary data in time coherent pattern. The data includes import duty, export duty and excise obtained from the Directorate General of Customs and excise (DJBC) in the form of annual and quarterly data. This data starts from 2002 to 2016 with out of sample from 2017 to 2019. Some of these models are compared to each other to obtain the best model, and from the best model is also obtained estimating results in 3 years ahead. This study shows that the Double Exponential Smoothing model is better for predicting import duties compared to OLS and Moving Average models, which are models that have the smallest Sum Square Error (SSE) value. While the export and excise duty is best estimated by using OLS model which is shown with coefficient of determination value (R2)  regression model of export duty is 0.8, while the excise regression model has coefficient of determination of 0.9.Keywords:  Customs Estimation, Double Exponential Smoothing, Ordinary Least Square, Moving Average
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

Abstract

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.
Analisis Kausalitas Pertumbuhan Ekonomi, Indeks Pembangunan Manusia Dan Belanja Modal Di Provinsi.Jambi Yolanda Sari; Etik Winarni; Muhammad Amali
Ekonomis: Journal of Economics and Business Vol 5, No 2 (2021): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v5i2.415

Abstract

This research aims toaanalyze the causal relationshipbbetween several variables including economiccgrowth using the value of PDRB at constant prices, the variable humanndevelopment index (HDI) and capitaleexpenditures in Jambi Province during 2010-2020 period. The data used in this research is secondary data with a database obtained from BPS Jambi Province and Regional Financial Statistics Jambi Province. The method used in this research is the Granger causality analysis method, which was previously tested using unit roots and cointegration methods to see the long-termrrelationship betweenrresearch variables. The results showed that there was a long-term relationship between the research variables. Economic growth has a one-way causal relationship with HDI. Economic growth increases the supply of resources needed for human development which in turn will encourage better human development. The capital expenditure variable has a one-way causal relationship with the economic growth variables. The allocation of capital for the implementation of various community economic activities and become an economic stimulus in Jambi Province.
ANALISIS PENGARUH PRODUKSI KARET DAN SAWIT TERHADAP PDRB SEKTOR PERTANIAN, KEHUTANAN DAN PERIKANAN DI PROVINSI JAMBI TAHUN 2014-2018 Yolanda Sari; Ade Irma Suryani; Islahudin Islahudin
Journal Development Vol 7 No 2 (2019): Jurnal Development
Publisher : Universitas Muhammadiyah Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.098 KB) | DOI: 10.53978/jd.v7i2.138

Abstract

Sektor Pertanian, Kehutanan dan Perikanan merupakan sektor basis pada PDRB di Provinsi Jambi dengan subsektor perkebunan pada komoditi karet dan sawit yang merupakankomoditi dengan angka produksi tertinggi. Penelitian ini bertujuan untuk mengetahuibagaimana perkembangan produksi karet dan sawit serta bagaimana pengaruh produksi karetdan sawit terhadap PDRB sektor pertanian, kehutanan dan perikanan di Provinsi Jambi baiksecara parsial maupun secara simultan.Data yang digunakan dalam penelitian ini adalah data sekunder berupa data produksikaret, produksi sawit dan data PDRB pada sektor pertanian, kehutanan dan perikanan diProvinsi Jambi pada tahun 2014-2018. Metode pengolahan data menggunakan rumusperkembangan dan analisis regresi linier berganda.Hasil analisis untuk perkembangan, produksi karet mengalami peningkatan setiaptahunnya kecuali tahun 2018, sedangkan produksi sawit mengalami perkembangan yangberfluktuasi. Hasil analisis untuk persamaan regresi linier berganda adalah sebagai berikut :Y = -297140225,439 + 964,454 X1 + 22,902 X2 dengan X1 Produksi Karet, X2 ProduksiSawit, dan Y adalah PDRB Sektor Pertanian, Kehutanan dan Perikanan. Kemudian dari hasilanalisis diperoleh hasil bahwa X1 dan X2 berpengaruh signifikan terhadap Y. Berdasarkanhasil penelitian ini dapat disimpulkan beberapa hal sebagai berikut: 1) Produksi Karet danSawit rata-rata mengalami pertumbuhan dari tahun ke tahun. 2) Produksi Karet dan ProduksiSawit secara parsial maupun simultan berpengaruh signifikan terhadap PDRB sektorpertanian, kehutanan dan perikanan di Provinsi Jambi.
PENGARUH PERTUMBUHAN EKONOMI, PENDIDIKAN DAN PENGANGGURAN TERHADAP KEMISKINAN DI PROVINSI JAMBI Yolanda Sari; Antony Falianto
Journal Development Vol 8 No 2 (2020): Jurnal Development
Publisher : Universitas Muhammadiyah Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1524.403 KB) | DOI: 10.53978/jd.v8i2.154

Abstract

Permasalahan strategis di pemerintahan Provinsi Jambi tidak jauh berbeda dengan di pemerintahan pusat (problem nasional), yakni masih tingginya angka kemiskinan di Provinsi Jambi. Oleh karena itu, kemiskinan menjadi tanggung jawab bersama, terutama pemerintah sebagai penyangga proses perbaikan kehidupan masyarakat dalam sebuah pemerintahan, untuk segera mencari jalan keluar dengan merumuskan langkah-langkah yang sistematis dan strategis sebagai upaya pengentasan kemiskinan. Penelitian ini bertujuan untuk menganalisis pengaruh pertumbuhan ekonomi, pendidikan dan pengangguran terhadap kemiskinan di Provinsi Jambi baik secara parsial maupun secara simultan. Data yang digunakan dalam penelitian ini adalah data sekunder berupa data pertumbuhan ekonomi, pendidikan, pengangguran dan kemiskinan di Provinsi Jambi pada tahun 2004-2019. Metode pengolahan data menggunakan analisis regresi linier berganda. Hasil analisis untuk persamaan regresi linier berganda adalah sebagai berikut: LogY = 7,800 - 0,219LogX1 – 0,406LogX2 + 0,036LogX3 + e dengan X1 Pendidikan, X2 Pertumbuhan Ekonomi, X3 Pengangguran dan Y adalah Kemiskinan di Provinsi Jambi. Kemudian dari hasil analisis diperoleh hasil bahwa X1, X2 dan X3 berpengaruh signifikan terhadap Y. Berdasarkan hasil penelitian ini dapat disimpulkan beberapa hal sebagai berikut: 1) variabel pertumbuhan ekonomi (X1) dan pendidikan (X2) berpengaruh negatif dan signifikan terhadap Kemiskinan (Y). Dan variabel pengagguran (X3) berpengaruh positif dan signifikan terhadap kemiskinan (Y) di Provinsi Jambi Tahun 2004-2019. 2) Secara simultan diperoleh bahwa Pertumbuhan Ekonomi (X1), Pendidikan (X2) Dan Pengangguran (X3) mempunyai pengaruh yang positif dan signifikan terhadap Kemiskinan (Y) di Provinsi Jambi periode 2004-2019.
Analisis Finansial Budidaya Keramba Ikan Nila Di Desa Keranggan Kabupaten Muaro Jambi (Studi Kasus Desa Keranggan) Etik Winarni; Ali Fahmi; Yolanda Sari; Mustika Mustika; Alamsyah Alamsyah
J-MAS (Jurnal Manajemen dan Sains) Vol 7, No 2 (2022): Oktober
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jmas.v7i2.766

Abstract

This study aims to determine the social and economic characteristics of fish cages and to analyze the financial feasibility of tilapia cage cultivation in Keranggan Village, Muaro Jambi Regency. Data collection in this study used observational data, namely filling out questionnaires and direct interviews with tilapia fish cage business actors in Keranggan Village, Muaro Jambi Regency. The location selection was carried out with the consideration that the businesses that became the object of this study were widely spread in Muaro Jambi Regency, especially in Keranggan Village, Sekernan District. The population in this study were tilapia cage farmers, namely the cultivators themselves (the owners of the cultivators). The fish cage business in Keranggan Village is 25 units of tilapia fish cage business, the data studied in this study were sourced from primary data. To determine the sample in this study, a cluster system was used which was carried out in Keranggan Village, Sekernan District, for cage farmers who had a total of 6 cages, with a sample of 25 respondents who were taken directly to all cage farmers. The data were analyzed using the analysis of the financial feasibility of tilapia cage cultivation with the formula for calculating NPV, IRR, Net Benefit Cost Ratio (B/C Ratio), and PP analysis. The results of the research analysis on the characteristics of respondents based on gender show that all respondents are male owners of tilapia cage cultivation business in Keranggan Village, respondents aged 54-63 years are 4 people or 16 percent of respondents are respondents of productive age. Based on the level of education, these results indicate that most of the respondents have met the 12-year compulsory education standard. Respondents have experience for 4-6 years, which is 28 percent. From Figure 1.3, it is known that the respondents are experienced enough in running a tilapia cultivation business in Keranggan Village, Sekernan District, Muaro Jambi Regency so that in practice the respondents can increase their business production. Characteristics of respondents based on the number of dependents who do not have or only themselves as many as 4 people or 16 percent who have dependents 1 child, then those who have dependents of 2 children are 7 people or 28 percent, the number of dependents of 3 children is 6 people or 24 percent, the number of dependents is 4 children as many as 4 people or 16 percent. The results of the feasibility of the cage business show that the results of the analysis of tilapia rearing in cages in Keranggan Village are currently financially feasible with an NPV value of Rp. 2,097,227 Net Benefit Cost Ratio (B/C Ratio) 1,235, IRR (Internal Rate of Return) 12.80%, Payback Periods (PP) obtained for 0.6695 years (6 months 24 days).
Effect of Inflation, Exchange Rate, and Interest Rate on the Composite Stock Price Index Siti Kholijah; Amimah Qodari; Yolanda Sari; Pandu Adi Cakranegara; Agnes Soukotta
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6237

Abstract

The purpose of this research is to discuss effect of inflation, exchange rate, and interest rate on the composite stock price index. The type of research used in this research is casual research. This study uses quantitative data with the type of time series data. Samples taken from 2018 to the end of 2021, in the form of monthly data, the data is secondary data that has been validated and issued directly from the official website. The method of analysis used multiple regression analysis. The results show that inflation has a positive and significant effect on the composite stock price index. Exchange rate has a positive and insignificant effect on the composite stock price index. Interest rate has a positive and significant effect on the composite stock price index.
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

Abstract

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

Abstract

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.