scholarly journals THE PRICE MECHANISM FUNCTION OF CURLY RED CHILLY IN THE CENTER OF PRODUCTION AND WHOLESALER

2020 ◽  
Vol 1 (3) ◽  
pp. 466-470
Author(s):  
Dety Sukmawati ◽  
Ning Srimenganti
Keyword(s):  
Time Series ◽  
Quantitative Research ◽  
Time Series Data ◽  
Rational Expectation ◽  
Series Data ◽  
High Price ◽  
Price Information ◽  
Price Increases ◽  
Crop Agriculture ◽  
Price Analysis

The problem of red chili related to price fluctuations has always been a concern for farmers.Therefore, an increase in the production of agricultural commodities including chili horticultural commodities needs to be accompanied by improvements to the marketing system. These research was  quantitative research, data collection was done by means of a survey of time series .  The data used are time series data and supporting data which come from: Information center of price at production center, and price information at West Java Food Crop Agriculture Agency. From the amount of data (included observation) which amounted to 72 data. The technic analyzed used multivariate. ,the rational expectation hypothesis of the supply function was analyzed by the EVIEWS 8. the results of price analysis in Cikajang have a dominant influence on prices in the PIKJ and vice versa, the results of the analysis show that an increase in price of 1 rupiah in Cikajang will increase the price in PIKJ 0.7679 rupiah, or an increase in price of 76.79% meaning an increase in prices in production centers will raised the price of 76.79% in the PIKJ. PIKJ will quickly respond to price increases in production centers even though the distance from production centers to PIKJ was very far, the flow of price information that occurs was actually one-way from PIKJ to production centers. The response to the high price increase was seen that the PIKJ was a price determinant and when viewed from the marketing actors involved in it turns out there were farmers in the production center which were dealers or traders in the PIKJ.

scholarly journals Evaluating the Performance of Multiple Imputation Methods for Handling Missing Values in Time Series Data: A Study Focused on East Africa, Soil-Carbonate-Stable Isotope Data

Stats ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Hossein Hassani ◽  
Mahdi Kalantari ◽  
Zara Ghodsi
Keyword(s):  
Time Series ◽  
East Africa ◽  
Quantitative Research ◽  
Missing Values ◽  
Time Series Data ◽  
Extreme Values ◽  
Singular Spectrum Analysis ◽  
Series Data ◽  
Data Set ◽  
Imputation Methods

In all fields of quantitative research, analysing data with missing values is an excruciating challenge. It should be no surprise that given the fragmentary nature of fossil records, the presence of missing values in geographical databases is unavoidable. As in such studies ignoring missing values may result in biased estimations or invalid conclusions, adopting a reliable imputation method should be regarded as an essential consideration. In this study, the performance of singular spectrum analysis (SSA) based on L 1 norm was evaluated on the compiled δ 13 C data from East Africa soil carbonates, which is a world targeted historical geology data set. Results were compared with ten traditionally well-known imputation methods showing L 1 -SSA performs well in keeping the variability of the time series and providing estimations which are less affected by extreme values, suggesting the method introduced here deserves further consideration in practice.

scholarly journals Pengaruh Jumlah Penduduk, Indeks Pembangunan Manusia Dan Angkatan Kerja Terhadap Kemiskinan Di Provinsi Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 251
Author(s):  
Sudirman Sudirman ◽  
Sakinah Sakinah
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Human Development ◽  
Human Development Index ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Development Index

This research is quantitative research that wants to see the influence of Population, Human Development Index and Labor Force on Poverty in Jambi Province. The data used is time series data in 2000 – 2019 while the analysis tool used is multiple linear regression using Eviews 8 as an analysis tool. In this study concluded that the number of productive populations, manusi development index and workforce is able to minimize poverty in Jambi Province.

scholarly journals Pengaruh Pendidikan Dan Kesehatan Terhadap Pertumbuhan Ekonomi Di Kabupaten Teluk Bintuni Periode 2010-2018

2021 ◽  
Vol 4 (1) ◽  
pp. 8-14
Author(s):  
Dody Akbar ◽  
Sarce B. Awom ◽  
Siti Aisah Bauw
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Collection ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
T Test ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Education And Health

This study aims to determine the effect of education and health on economic growth in Teluk Bintuni Regency for the 2010-2018 period. This type of research is quantitative research. This research uses time series data and secondary data collection techniques. Analysis of the data using the Coefficient of Determination Test Heteroscedasticity Test f Test t test. The results of this study show (X1) Education and (X2) Health have a positive and significant effect on (Y) Economic Growth.

scholarly journals Pengaruh Capital Adequacy Ratio , Biaya Operasional Pendapatan Operasional dan Net Operational Margin terhadap Financing to Deposit Ratio pada Bank Umum Syariah di Indonesia Tahun 2016-2018

2021 ◽  
Vol 1 (1) ◽  
pp. 27-33
Author(s):  
Moch Fajar Suryo Atmojo ◽  
Nurfahmiyati ◽  
Meidy Haviz
Keyword(s):  
Time Series ◽  
Commercial Banks ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Equation Model ◽  
Least Square ◽  
Capital Adequacy ◽  
Series Data ◽  
Ordinary Least Square

Abstract. Sharia Banking as an economic sub-system certainly will directly or indirectly have an impact on the development and economic growth of a country. Sharia Commercial Bank (BUS) is a bank that conducts business activities based on sharia principles and in its activities provides services in payment traffic as referred to in Act Number 21 of 2008 concerning Sharia Banking. The health of a bank is very important for all parties involved both the owner, manager (management) of the bank, the banking service user community, monetary authorities, and other parties.This study was conducted to examine the effect of CAR, BOPO, and NOM on Financing to Deposit Ratio (FDR) of Sharia Commercial Banks in Indonesia in 2016-2018. This type of research uses quantitative research with a verification approach. The data used are secondary data taken from the FSA using time series data. Data processing uses Eviews version 7.0 with Ordinary Least Square (OLS) method.The results showed that the CAR variable partially had a negative effect and the BOPO and NOM variables had a positive and significant effect on FDR at Islamic Commercial Banks in Indonesia. From the estimation results obtained R-square of 0.733707, which means 73.37 percent variation of changes in Financing to Deposit Ratio (FDR) of Sharia Commercial Banks is explained by variations in changes in CAR, BOPO, and NOM. While the remaining 26.63 percent explained by other variables not included in the equation model.   Abstrak. Perbankan Syariah sebagai suatu sub sistem ekonomi tentunya baik secara langsung maupun tidak langsung akan memberikan dampak terhadap perkembangan dan pertumbuhan ekonomi suatu negara. Bank Umum Syariah (BUS) adalah bank yang menjalankan kegiatan usahanya berdasarkan prinsip syariah dan dalam kegiatannya memberikan jasa dalam lalu lintas pembayaran sebagaimana dimaksud dalam Undang-Undang Nomor 21 Tahun 2008 tentang Perbankan Syariah. Kesehatan suatu bank merupakan hal yang sangat penting bagi seluruh pihak yang terkait baik pemilik, pengelola (manajemen) bank, masyarakat pengguna jasa bank, otoritas moneter, serta pihak lainnya. Penelitian ini dilakukan untuk menguji pengaruh CAR, BOPO, dan NOM terhadap Financing to Deposit Ratio (FDR) Bank Umum Syariah di Indonesia Tahun 2016-2018. Jenis penelitian menggunakan penelitian kuantitatif dengan pendekatan verifikatif. Data yang digunakan adalah data sekunder yang diambil dari OJK menggunakan data runtut waktu (time series). Pengolahan data menggunakan program Eviews versi 7.0 dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan variabel CAR secara parsial berpengaruh negatif dan variabel BOPO dan NOM berpengaruh positif dan signifikan terhadap FDR pada Bank Umum Syariah di Indonesia. Dari hasil estimasi diperoleh R-square sebesar 0.733707, yang berarti 73.37 persen variasi perubahan pada Financing to Deposit Ratio (FDR) Bank Umum Syariah dijelaskan oleh variasi perubahan pada CAR, BOPO, dan NOM. Sementara sisanya 26.63 persen diterangkan oleh variabel lain yang tidak masuk ke dalam model persamaan.

scholarly journals Pembentukan Harga Cabai Merah Keriting Secara Teoritis Dan Empiris

2021 ◽  
Vol 9 (2) ◽  
pp. 104
Author(s):  
Dety Sukmawati ◽  
Euis Dasipah
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Supply And Demand ◽  
Price Formation ◽  
Series Data ◽  
Production Data ◽  
Wholesale Market ◽  
Price Information ◽  
The West ◽  
Information Center

High demand for curly red chilies will cause prices to rise while production cannot fulfill consumer desires. This situation was caused by an imbalance of supply-demand, where the supply-demand imbalance can be caused by several changes such as changes in production technology, population growth or number of consumers, changes in income levels per capita and season (., Asriani, and Rasyid 2012). Research data as research subjects were 1) Price time series data, curly red chili production at production centers 2) Supply data of curly red chilies from Cikajang Garut Regency, Caringin Central Market, Gedebage Main Market and Kramat Jati Central Market, 3) Time series data price, production, supply, government policies and supporting data from the West Java Food Crops Agriculture Office, and related agencies. The data used were time series data and supporting data from: Price information centers in production centers, main markets and price information at the West Java Food Crops Agricultural Service, for each marketing agency data was carried out by tracing the marketing chain. The research analysis was carried out in several ways, namely theoretically and empirically at the production center and the wholesale market described descriptively. Theoretical price formation can be explained that prices was formed based on supply and demand. Prices derived from price formation can come from the District or Provincial Agriculture Office and be informed from the Commodity Price Information Center in production centers and forwarded to farmers, dealers, traders and wholesale markets. Price information can be conveyed to between market players, so that farmers and market players know your margin and profit. Empirically, it can be seen that price formation in production centers was not seen to be formed from supply and demand. The price in the wholesale market is the price determined by market players in the wholesale market based on the amount of supply entering the main market and price information between the parent markets. The information center at PIKJ does not have production data from production centers so that when the price hike occurs, the version of the Ministry of Agriculture is imports of chilies ("specifically for curly red chilies, there are no imports"). Imports indicate that the production / supply decreases without knowing the actual amount of production, in this case the price information speed was faster than the production data that was informed per year so that prices in farmers still do not increase, meaning that farmers do not enjoy price increases, in this case it can be said that market mechanism was not working well.

scholarly journals ANALYSIS OF FINANCIAL HEALTH, STATE-OWNED ENTERPRISES (Case Study at PT Aneka Tambang Tbk)

2020 ◽  
Vol 6 (4) ◽  
pp. 287
Author(s):  
Zainal Arifin H. Masri
Keyword(s):  
Qualitative Research ◽  
Time Series ◽  
Financial Stability ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Health State ◽  
Ratio Analysis ◽  
Financial Health ◽  
Financial Ratio

This study aims to examine the financial health of State-Owned Enterprises (SOEs), particularly at PT Aneka Tambang, Tbk. The research method used is a combination of quantitative research and qualitative research methods. The quantitative method is used to calculate the financial stability indicators of PT Aneka Tambang, Tbk from year to year for six years based on the time-series data of the company's financial statements while the descriptive qualitative method is used to describe and explain narratively the financial health development of PT Aneka Tambang, Tbk. Sampling for quantitative research is done by taking time series data over the past six years that are available in the company. While qualitative research is carried out by comparing and analyzing the results of quantitative data calculations. The data analysis technique was carried out using financial ratio analysis of each indicator, then given a score, and determined the level of financial stability. Ratio analysis is carried out from year to year for the last ten years based on the time-series data obtained. The results of the calculation of ratio analysis of financial stability indicators are then compared from year to year to determine the trends in financial stability occurred

scholarly journals Islamic Capital Markets and Economic Growth

2019 ◽  
Vol 6 ◽  
pp. 39-58
Author(s):  
Dr. Mohammad Ayaz ◽  
Dr.Hassan Shakeel Shah ◽  
Dr. Talat Hussain ◽  
Majid Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Capital Markets ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Policy Makers ◽  
Independent Variables ◽  
Long Run ◽  
Short Run

This research was conducted to find out whether Islamic capital markets (ICMs) have any effect on economic growth (EG). The study also made a comparison between three countries including Pakistan, Malaysia and UAE in this regard. Quantitative research technique was used in this study, where secondary and time series data was collected on a quarterly basis for the period 2009-2017. The effect of independent variables (IVs) on the dependent variable (DV) was examined. Co-integration and ARDL test were applied in Eviews 9 and Microfit 5.0. A growth model was developed for the selected countries separately in order to see whether IVs had any effect on DV. GDP was the DV of study while IMCAP, TNI and TNL were its IVs. It was found that in case of Pakistan and Malaysia, all the IVs had a significant effect on EG in the short run, while in the long run only IMCAP and TNI have a significant impact. In case of UAE, only two IVs (IMCAP and TNL) had a significant effect on EG in the short run, while in long run only one IV (IMCAP) has a significant impact. Further, it was found that IVs jointly had a significant effect on EG of the selected countries. So, this study concluded that ICMs do have a significant effect on EG of Pakistan, Malaysia and UAE. Considering the importance of ICMs in EG, regulators and policy makers are likely to benefit from the results of the current study which acts as a guide for developing and reforming the ICMs of Pakistan, Malaysia and UAE.Keywords: , , 

scholarly journals INFLUENCE INCOME DIVERSIFICATION, BANK LIQUIDITY, AND FINANCIAL LAVERAGE ON PROFITABILITY WITH BANK EFFICIENCY, AS INTERVENING VARIABLES IN SHARIA COMMERCIAL BANKS 2015-2019

2021 ◽  
Vol 8 (02) ◽  
pp. 110-124
Author(s):  
Novita Sari ◽  
Arna Asna Annisa, MSI
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Commercial Banks ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Annual Data ◽  
Bank Efficiency ◽  
Intervening Variables

Abstract The purpose of this study was to determine the effect of Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank Efficiency, as an Intervening variable in Islamic Commercial Banks in 2015-2019. This research uses quantitative research by using regression analysis as data analysis. This study uses secondary data in the form of time series annual data of Islamic commercial banks for the period 2015 to 2019. The required data is then analyzed using the SPSS 22 application tool. The results show that FBI, FDR have a positive and non-significant effect on ROA, DER has a negative and no effect. significant effect on ROA, FBI, FDR positive and not significant effect on ROA, DER negatively and not significant on ROA, BOPO positive and significant effect on ROA.Keywords: Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank EfficiencyAbstrak Tujuan penelitian ini dilakukan adalah untuk mengetahui pengaruh Pengaruh Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency, sebagai variabel Intervening pada Bank Umum Syariah Tahun 2015-2019. Penelitian ini menggunakan jenis penelitian kuantitatif dengan menggunakan analisis regresi sebagai analisi data. Penelitian ini menggunakan data sekunder berbentuk time series data tahunan bank umum syariah periode 2015 sampai 2019. Data yang diperlukan kemudian dianalisis menggunakan alat bantu aplikasi SPSS 22. Hasil penelitian menunjukan bahwa FBI, FDR berpengaruh positif dan tidak singnifikan terhadap ROA, DER berpengaruh negatif dan tidak singnifikan terhadap ROA, FBI, FDR berpengaruh positif dan tidak singnifikan terhadap BOPO, DER berpengaruh negatif dan tidak singnifikan terhadap BOPO, BOPO berpengaruh positif dan singnifikan terhadap ROA.Kata Kunci: Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency.

scholarly journals Analisa Faktor Kunjungan Wisatawan Mancanegara dan Penginapan Hotel Terhadap Penerimaan Sub Sektor PDRB pada Industri Pariwisata di Kabupaten Jember Tahun 2008-2018

2019 ◽  
Vol 9 (1) ◽  
pp. 1-9
Author(s):  
Helmi Agus Salim
Keyword(s):  
Time Series ◽  
Quantitative Research ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Quantitative Research Methods ◽  
Independent Variables ◽  
Tourism Sector ◽  
Great Hope ◽  
Regression Test

Indonesia is one country with enormous natural resource potential that can be maximized in the tourism industry sector. Besides that, there is great hope that this tourism sector can increase PDRB in an area. According to the results of the analysis, this study shows the influence of the number of foreign tourist visits and hotel occupancy on the receipt of the tourism industry's PDRP sector in 2008-2018. The data used is time series data from the Central Bureau of Statistics and the Department of Tourism. This research uses quantitative research methods and uses partial addjustmen models using time series processes. In this study, the independent variables are foreign tourists (W1) and hotels (H2) while the dependent variable is PDRP (R). The results of the study using known multiple regression analysis and simultaneous regression test (F test) note that F -st5959.6 confidence below 1 percent indicates that foreign tourists and hotels have a significant effect on PDRP in Jember Regency. Partial regression test (t test) shows that there is a significant influence between the variables of foreign tourists and hotel occupancy on the PDRP of Jember Regency. The magnitude of the effect is that (R2) of 0.95. This means that the PDRP as the dependent variable is explained by the independent variables namely foreign tourists and hotel occupancy by 95% and the remaining 5% is explained by other variables outside the research.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data
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