scholarly journals Trend Analysis of Red Chili Price-Formation Models

2020 ◽  
Vol 40 (1) ◽  
pp. 57
Author(s):  
Siti Mir'atul Khasanah ◽  
Mochammad Maksum ◽  
Endy Suwondo
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Cost ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Price Formation ◽  
Changing Trends ◽  
Continuous Demand

Red chili’s characteristic flavor has been a popular element in Indonesian cuisine. A large and continuous demand for red chili is inconsistent with production volumes, causing frequent and extreme price fluctuations throughout the year. This study explores the changing trends in red chili prices to identify the influencing factors. The study was conducted in the Sleman district of Yogyakarta, Indonesia. Time-series datasets of monthly production rates and prices of chili for 3 years were subject to multiple linear regression analysis. The study found a rising trend in prices in the Sleman Regency from January 2014 to December 2016. The factors significantly influencing the red chili prices was the price of cayenne pepper. The production cost of chili, the price of tomatoes, and the price of chili for the previous 2 months had only partial and nonsignificant effects. The timing of great Muslim celebrations, such as Eid Al-Fitr and Eid Al-Adha had no significant effect on the price of red chili. However, Christmas and New Year events were associated with higher prices.

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals Factors that Affect the Income of Artisan Palm Sugar Maker in Candimulyo

2020 ◽  
Vol 14 (3) ◽  
pp. 441
Author(s):  
Dyah Rasti ◽  
Agus Setiadi ◽  
Kustopo Budiraharjo
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Cost ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Production Volume ◽  
Fuel Cost ◽  
Additional Material ◽  
Palm Sugar

This study aimed to analyze the income and factors affecting the income of the artisan palm sugar maker in a Women Farmer Group (WFG) in Candimulyo District, Magelang Regency named Srikandi. This study done from November 17th to December 15th, 2019 in Srikandi WFG, Kebonrejo Village, Candimulyo District, Magelang Regency. This study was employing a census method with a total of 33 artisan palm sugar maker. The data collection done by interview, observation, and literature review technique. Data analyzed by the production cost, revenue and income, and multiple linear regression analysis. Results showed that mean sugar palm production, mean production cost, mean revenue, or mean income was 2.89 kg/production/day, IDR 34,225.91/production volume/day, IDR 49,068.18/production volume/day, and IDR 14,942.27/production volume/day. The multiple linear regression analysis equation was Y= 1009.844 + 979.915X1 – 17798.012X2 + 9330.432X3 – 0.704X4 + e. The factor of additional material, worker utilization, production, and fuel cost simultaneously affected the income. Partially, the worker utilization, production, and fuel cost affected the income, while the amount of the additional material didn’t affect the income partially.

scholarly journals Peran Kepemilikan Asing, Leverage dan Profitabilitas Terhadap Pengungkapan Coorporate Social Responsibility Perusahaan

2020 ◽  
Vol 4 (1) ◽  
pp. 154
Author(s):  
Amilia Paramita Sari
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Social Responsibility ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Foreign Ownership ◽  
Manufacturing Company

This research seeks to verify and explain the role foreign ownership, leverage, and profitability to Disclosure of Coorporate Social Responsibility. While the method used is a method of multiple linear regression analysis. The data used in this study is time series period from January 2014 to December 2018. Studies find that simultaneously shows a significant effect about 31% foreign ownership, leverage, and profitability impact on the disclosure of coorporate social responsibility to manufacturing company in Bursa Efek Indonesia. It was found that a significant effect on disclosure of coorporate social responsibility is foreign ownership and leverage, whereas profitability has no significant influence. 

scholarly journals Pengaruh Jumlah Uang Beredar dan Pertumbuhan Ekonomi Terhadap Kinerja Reksadana Saham

2019 ◽  
Vol 4 (2) ◽  
pp. 362
Author(s):  
Amilia Paramita Sari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Money Supply ◽  
Significant Influence ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis

This research seeks to verify and explain the influence the amount of money supply and economic growth in the performance of mutual stock funds in Indonesia. While the method used is a method of multiple linear regression analysis. The data used in this study is Time Series Period from January 2014 to December 2018. Studies find that simultaneously shows a significant effect about 74.7% the amount of money supply and economic growth impact on the performance of mutual stock funds in Indonesia. It was found that a significant effect on performance of mutual stock funds is the amount of money supply, whereas economic growth has no significant influence.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals The Association of Circulating MiR-29b and Interleukin-6 with Subclinical Atherosclerosis

2017 ◽  
Vol 44 (4) ◽  
pp. 1537-1544 ◽  
Author(s):  
Yu-qing Huang ◽  
Jie Li ◽  
Ji-yan Chen ◽  
Ying-ling Zhou ◽  
An-ping Cai ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interleukin 6 ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Group ◽  
Study Group ◽  
Circulating Levels

Background/Aims: Although it is widely acknowledged that atherosclerosis is mainly a chronic inflammatory process, in which both miR-29b and interleukin-6 (IL-6) play multifaceted roles, the association between miR-29b and IL-6 remains unknown. The aim of the present study was to explore the relationship between miR-29b and IL-6 and to test whether circulating levels of miR-29b and IL-6 could predict atherosclerosis. Methods: A total of 170 participants were divided into two groups according to carotid intima-media thickness (CIMT): study group (CIMT ≥ 0.9mm) and control group (CIMT < 0.9mm). Levels of circulating miR-29b and IL-6 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), respectively. The association of miR-29b and IL-6 levels with CIMT was assessed using Spearman correlation analysis and multiple linear regression analysis. Results: The study group showed higher miR-29b levels (31.61 ± 3.05 vs. 27.91 ± 1.71 Ct, p < 0.001) and IL-6 levels (3.40 ± 0.67 vs. 2.99 ± 0.37 pg/ml, p < 0.001), compared with the control group. CIMT was positively correlated with miR-29b (r = 0.587, p < 0.001) and IL-6 (r = 0.410, p < 0.001), and miR-29b levels were also correlated with IL-6 (r = 0.242, p = 0.001). Multiple linear regression analysis also showed that CIMT was positively correlated with miR-29b and IL-6. After adjustment for age, body mass index, systolic blood pressure, total cholesterol and C-reactive protein, CIMT was still closely correlated with miR-29b and IL-6. The combination of miR-29b and IL-6 (AUC = 0.901, p < 0.001) offered a better predictive index for atherosclerosis than either miR-29b (AUC = 0.867, p < 0.001) or IL-6 (AUC = 0.747, p < 0.001) alone. Conclusion: Circulating levels of miR-29b and IL-6 may be independently correlated with subclinical atherosclerosis, and may serve as novel biomarkers for the identification of atherosclerosis.

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