scholarly journals Faktor-Faktor Yang Mempengaruhi Kebakaran Hutan Di Indonesia Dan Implikasi Kebijakannya

2015 ◽  
Vol 3 (1) ◽  
pp. 103 ◽  
Author(s):  
S. Andy Cahyono ◽  
Sofyan P Warsito ◽  
Wahyu Andayani ◽  
Dwidjono H Darwanto
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Time Series Data ◽  
Series Data ◽  
Factors Affecting ◽  
Export Prices ◽  
Preventive Effort ◽  
Global Concern ◽  
Peat Fires ◽  
Early Indication

ABSTRACT Forest fire is one of the crucial environmental and forestry issues as well as local and global concern. The longstanding efforts have been conducted to overcome this problem, but the success was relatively low. This study aims to determine the factors that affect the extent of forest and peat fires in Indonesia. The analysis of forest fires was carried out on three major islands, i.e. Sumatra, Kalimantan and Papua using time series data from 1969 to 2012.  The data were analyzed using econometric models. The results indicated that the factors affecting the forest and peat fires included the price of logs, export prices of CPO, el nino, budget of the Ministry of Forestry, the economic crisis and the number of hotspots. The identified determinant which has a major impact on the extent of forest and peat fires is the number of hotspots. Controlling the number of hotspots significantly reduced the magnitude of forest fires. For that reason, there is a need for a paradigm shift in the control of forest fires from forest fire fighting activities into preventive effort by reducing the number or preventing the occurrence of hotspots as an early indication of a forest fire.  Keywords: forest fires, hotspots, prevention

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Current Situation of Egyptian Cotton: Econometrics Study Using ARDL Model

2019 ◽  
Vol 11 (10) ◽  
pp. 88
Author(s):  
Yosri Nasr Ahmed ◽  
Huang Delin
Keyword(s):  
Time Series Data ◽  
Agricultural Practices ◽  
Government Support ◽  
Series Data ◽  
Cotton Crop ◽  
Export Prices ◽  
The Government ◽  
Bound Test ◽  
Egyptian Cotton ◽  
Relative Profitability

The Egyptian cotton crop have experienced challenges in recent years from a drop in the quantity produced and exported, to a decrease in cultivated areas, this have affected the production quantity and value of exports. This study aims to bridge the research gap by exploring the nexus between cultivated area of cotton in Egypt, Relative profitability (cotton-clover/rice-clover), export quantity of cotton, the export prices of Egyptian cotton and the export prices of American cotton (Pima). In order to clarify the relationship between the variables studied and the cultivated area of cotton, the research use time series data from 1980 to 2016, using the Autoregressive Distributed Lag (ARDL) bound test to the find the co-integration between the variables after checking the stationarity in chosen variables with different unit root tests e.g. Augmented Dickey-Fuller (ADF) and the Phillips-Perron (PP). The results show, significant factors that influence the cultivated area of cotton include Relative profitability (cotton-clover/rice-clover), export quantity of cotton in long run term. Which underscores the need for government support in agriculture, in particular, cotton crop support. The increasing trend of cotton cost with declining revenue and decreasing in exports quantity is the main cause of decreased cultivated area of Egyptian cotton. Research recommends that support should be given to cotton farmers, in the form of agricultural equipment or training in good agricultural practices or set a price for cotton guaranteeing a decent profit margin for the farmers. The government (policy makers) should improve the productivity of cotton with the purpose of reducing the total costs and increasing the degree of competitiveness of the Egyptian cotton. Some effective policy measures may include but not limited to, farmer training programs and providing better extension services that will led to the capacity development of farmers.

scholarly journals Faktor-Faktor yang Mempengaruhi Alih Fungsi Lahan Sawah di Kabupaten Aceh Besar

2018 ◽  
Vol 3 (4) ◽  
pp. 525-533
Author(s):  
Raudhatul Husna ◽  
Azhar Azhar ◽  
Edy Marsudi
Keyword(s):  
Time Series ◽  
Population Density ◽  
Rice Field ◽  
Time Series Data ◽  
Statistical Tests ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Rice Productivity ◽  
Negative Impacts

Abstrak. Alih fungsi lahan atau lazimnya disebut sebagai konversi lahan adalah  perubahan fungsi sebagian atau seluruh kawasan lahan dari fungsinya semula (seperti yang direncanakan) menjadi fungsi lain yang membawa dampak negatif terhadap lingkungan dan potensi lahan itu sendiri. Penelitian ini bertujuan untuk mengetahui apakah harga lahan, kepadatan penduduk, produktivitas padi dan jumlah PDRB dapat mempengaruhi alih fungsi lahan sawah di Kabupaten Aceh Besar. Data yang digunakan dalam penelitian ini adalah data sekunder. Data yang dikumpulkan adalah data time series dengan range tahun 2002 sampai 2016. Penelitian ini menggunakan metode analisis  regresi linier berganda. hasil penelitian dan pembahasan serta pengujian SPSS menunjukkan bahwa harga lahan, kepadatan penduduk, dan produktivitas padi berpengaruh nyata terhadap alih fungsi lahan sawah di Kabupaten Aceh Besar. sedangkan jumlah PDRB tidak berpengaruh terhadap alih fungsi lahan sawah. Hal ini ditunjukkan oleh koefisien regresi untuk variabel jumlah PDRB sebesar 0,00015. Hasil pengujian statistik menunjukkan nilai t hitung untuk jumlah PDRB sebesar 1,315 dengan nilai signifikan sebesar 0,218. Sedangkan nilai t tabel sebesar 1,782 yang berarti nilai t hitung t tabel (1,315 1,782).  Factors Affecting The Conversion Of Paddy Fields In Kabupaten Aceh Besar Abstract. Land use change or commonly referred to as land conversion is a change in the function of part or all of the land area from its original function (as planned) into other functions that bring negative impacts to the environment and the potential of the land itself. This study aims to find out whether the price of land, population density, rice productivity and the amount of GRDP can affect the conversion of rice field functions in Aceh Besar District. The data used in this research is secondary data. The data collected is time series data with range of year 2002 until 2016. This research use multiple linier regression analysis method. the results of research and discussion and testing of SPSS showed that land price, population density, and rice productivity significantly affected the conversion of wetland in Aceh Besar district. while the number of GDP does not affect the conversion of wetland. This is indicated by the regression coefficient for the GRDP variable of 0.00015. The results of statistical tests show the value of t arithmetic for the amount of GRDP by 1.315 with a significant value of 0.218. While the value of t table of 1.782 which means the value of t arithmetic t table (1,315 1.782).

Trace-Acid Ion Content of Shallow Snow and Ice Cores from Mountain Sites in Western Canada

1988 ◽  
Vol 10 ◽  
pp. 57-62 ◽  
Author(s):  
G. Holdsworth ◽  
H.R. Krouse ◽  
E. Peake
Keyword(s):  
British Columbia ◽  
Time Series ◽  
Forest Fires ◽  
Time Series Data ◽  
Accumulation Rate ◽  
Ice Cores ◽  
Historical Record ◽  
Yukon Territory ◽  
Series Data ◽  
Snow And Ice

An historical record of the deposition of common acids is contained in snow and ice cores taken from suitable sites in the accumulation zone of certain glaciers. Spatial and time-series data sets for trace-mineral acids have been obtained from snow-pit samples and ice cores from a number of mountain sites in Alberta, British Columbia, and the Northwest and Yukon Territories. In Alberta, it is possible to use temperate firn sites above 3460 m, although elution occurs during certain summers as indicated by isotopic and ionic data. This would also apply to sites of a similar latitude (52°±2°N) in British Columbia. In the Yukon Territory (≥60.5°N) reliable time series for the acid anions may be obtained from sites at altitudes above 3000 m. Elution provides a natural control for demonstrating that field sampling and subsequent analytical procedures do not introduce significant contamination. The Yukon data are compared with the net annual accumulation rate and with altitude. Recent data from the 5340 m Mt Logan site do not indicate any significant increase in natural background levels of snow acidity. Lightning, which is responsible for numerous forest fires in all provinces, is a possible natural source of nitric acid. Spring-summer peaks in nitrate concentration usually occur. In addition, forest-fire smoke may be a significant contributor to the mountain snow-pack chemistry in some years and must be considered when interpreting the Mt Logan core data. One Yukon profile seems to contain the signature from the 1986 Augustine volcanic eruption.

Use of ordered logit model with time series data for determining the factors affecting the milk yield of Holstein Friesians

2019 ◽  
Author(s):  
Özge Akkuş ◽  
Volkan Sevinç
Keyword(s):  
Time Series ◽  
Milk Yield ◽  
Logit Model ◽  
Time Series Data ◽  
Series Data ◽  
Ordered Logit ◽  
Factors Affecting ◽  
Ordered Logit Model ◽  
Lactation Length ◽  
Cattle Breeders

This article aims to introduce the use of ordered logit model with time series data in milk productivity studies and determine the important factor levels affecting the milk yield of Holstein Friesians. The data consists of 2002 records collected for the years 2009-2015 from the reports of the Cattle Breeders’ Association of Turkey (CBAT) in Muðla province in Turkey. The direct and marginal effects of the variables: parity, lactation length and year of calving on milk yield are investigated and the probabilities regarding the milk yield production for a given specific parity, lactation length and calving year are calculated. The results show that milk yield slightly increases on the 4th parity of cows. As far as the years concerned, although there had mostly been a steady amount of milk production between 2009 and 2015 years, there was a significant decrease in 2011 and increase in 2014.

scholarly journals Inferring phage-bacteria infection networks from time series data

2016 ◽  
Author(s):  
Luis F. Jover ◽  
Justin Romberg ◽  
Joshua S. Weitz
Keyword(s):  
Time Series ◽  
Time Course ◽  
Community Dynamics ◽  
Time Series Data ◽  
Plaque Assay ◽  
Interaction Network ◽  
Series Data ◽  
Factors Affecting ◽  
Evolutionary Changes

In communities with bacterial viruses (phage) and bacteria, the phage-bacteria infection network establishes which virus types infects which host types. The structure of the infection network is a key element in understanding community dynamics. Yet, this infection network is often difficult to ascertain. Introduced over 60 years ago, the plaque assay remains the gold-standard for establishing who infects whom in a community. This culture-based approach does not scale to environmental samples with increased levels of phage and bacterial diversity, much of which is currently unculturable. Here, we propose an alternative method of inferring phage-bacteria infection networks. This method uses time series data of fluctuating population densities to estimate the complete interaction network without having to test each phage-bacteria pair individually. We use in silico experiments to analyze the factors affecting the quality of network reconstruction and find robust regimes where accurate reconstructions are possible. In addition, we present a multi-experiment approach where time series from different experiments are combined to improve estimates of the infection network and mitigate against the possibility of evolutionary changes to infection during the time-course of measurement.

scholarly journals Competitiveness Analysis and Factors Affecting Trade of Main Commodities between Indonesia and Turkey

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Fauziyah Adzimatinur
Keyword(s):  
Wheat Flour ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Woven Fabrics ◽  
Least Square ◽  
Series Data ◽  
Trade Integration ◽  
Tariff Barrier ◽  
Factors Affecting

This study aims to analyze the competitiveness, trade integration, trade complementarity, and factors affecting the export and import of main commodities between Indonesia and Turkey. Data used in this study is time series data in 1996-2018 and the methods used are Revealed Comparative Advantage (RCA), Intra-Industry Trade (IIT), Trade Complementarity Index (TCI), and Ordinary Least Square (OLS). Results of RCA showed Indonesia's main export commodities to Turkey are woven fabrics, stearic acid, palm oil and natural rubber. While IIT showed that there is only one way trade from Indonesia. Import commodities from Turkey are carpets, borax, wheat flour, and tobacco. TCI showed low complementarity between Indonesia�s export and Turkey�s import. GDP per capita has positive impact on exports and imports. The exchange rate has positive impact on exports and negative on imports. Price and tariff rate have negative impact on both exports and imports. Dummy Non-tariff barrier has negative impact on exports while in import side, it only affects the wheat flour negatively. The Government of Indonesia should pursue a strategy in trade cooperation as efforts to reduce trade barriers such as tariffs and non-tariffs for some commodities that have competitiveness in the Turkish market.

scholarly journals Determinant factors affecting the improvement of education index

2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Jalil Setiawan Jamal ◽  
Muslim Salam ◽  
Andi Nixia Tenriawaru ◽  
Didi Rukmana ◽  
Muhammad Hatta Jamil ◽  
...  
Keyword(s):  
High School ◽  
Elementary School ◽  
Panel Data ◽  
Junior High School ◽  
Time Series Data ◽  
Junior High ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Section Data

The Human Development Index (HDI) of the Selayar Islands Regency experienced an insignificant improvement. The low education index causes the low HDI achievement of the Selayar Islands Regency because the achievement of education index is lower than the health index and the expenditure index. Therefore, it is very necessary to improve the education index. This study aims to analyze the factors that influence the education index. This study uses secondary data in the form of panel data which is a combination of time series data from 2014 to 2019 and cross section data from 11 sub-districts. Panel data to measure the factors that affect the Education Index were analyzed using regression analysis. The results showed that the teacher to student ratio at elementary school had a negative effect on the education index, the class to student ratio at elementary school had a positive effect on the education index, while the school to student ratio at elementary school, school to student ratio at junior high school, class to student ratio at junior high school and teacher to student ratio at junior high school had no effect on the education index.

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

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