scholarly journals FACTORS AFFECTING THE ECONOMIC POLICY OF FOOD IN INDONESIA

2019 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Asriani Asriani ◽  
Dhian Hedhiansyah
Keyword(s):  
Economic Policy ◽  
Food Security ◽  
Time Series Data ◽  
Series Data ◽  
Factors Affecting ◽  
Farm Production ◽  
Production And Consumption ◽  
Productivity Factor ◽  
Strategic Role ◽  
Factors Of Production

Food security is one indicator of economic growth of a country and may reflect the prosperity as well as a benchmark of the the welfare level, particularly in terms of people’s production and consumption. Food security policies need to be supported through increased production of commodities. Corn is one crop with a strategic role due to its position as the main source of carbohydrates and protein. To increase the production of corn, there should be the policy inputs or factors of production done by increasing the planting area and the productivity of corn crops in Indonesia. This study aims to analyze the factors of production that can increase the production of corn farming. The data used are time series data with Nerlove model as the data analysis way. The results indicate that the harvest area factor and productivity factor may influence the increasing of farm production of corn; it thus can serve as the basis of economic policy-making related to the food sector in Indonesia.

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 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).

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 Factors affecting the import of soybean in Indonesia

2020 ◽  
Vol 8 (5) ◽  
pp. 523-530
Author(s):  
Adlaida Malik ◽  
Saidin Nainggolan
Keyword(s):  
Direct Effect ◽  
Time Series Data ◽  
Partial Least Square ◽  
Least Square ◽  
Series Data ◽  
Soybean Production ◽  
Macroeconomic Conditions ◽  
Production And Consumption ◽  
The Republic ◽  
The Government

As an agricultural country, Indonesia still imports soybeans to meet domestic soybean needs. The gap between national soybean production and consumption causes the government to import. Based on this, this study aims to analyze the factors that influence soybean imports in Indonesia. The data used are time series data for the period 2003-2018. Data is sourced from the Food and Agriculture Organization (FAO), United Nations International Trade Statistics Database (UN COMTRADE), the Central Bureau of Statistics of the Republic of Indonesia, World Bank, Bank Indonesia, and the Ministry of Trade of the Republic of Indonesia. The analysis method uses SEM-Partial Least Square (PLS). The results showed that the macroeconomic conditions directly affect soybean production and consumption. On the other hand, consumption has a direct effect, but production has no direct effect on soybean imports. Macroeconomic conditions do not have a direct effect on soybean imports. Nevertheless, the total effect (combined direct and indirect effects) is significant from macroeconomic conditions on soybean imports.

scholarly journals ANALISIS STRATEGI PENGUATAN KETAHANAN PANGAN BERAS DI KABUPATEN OGAN KOMERING ULU

2019 ◽  
Vol 15 (2) ◽  
pp. 97
Author(s):  
Ema Pusvita ◽  
Sriati Sriati ◽  
Dessy Adriani
Keyword(s):  
Time Series ◽  
Food Security ◽  
Food Availability ◽  
Food Access ◽  
Time Series Data ◽  
Food Prices ◽  
Series Data ◽  
Food Reserves ◽  
Access To Food ◽  
Improve Food Security

<p align="center"> </p><p><em>Analysis of strengthen strategies of food rice security in Ogan Komering Ulu Regency is a</em><em> bundle</em><em> strategy to improve food security in dimensions of availability, stability and food access. This research </em><em>was </em><em>historical research.It use</em><em>d</em><em> time series data, during 26 years period. Technique in collecting data used questionnaires. Data analysis use</em><em>d</em><em> multiple regression analysis and SWOT matrix. Data presents in tables andpicture, as well as narration to interpret the data.The results of research showes that food security conditions in OKU regency still can meet the needs of rice. Adequacy of food availability, stability and access to food in OKU regency has a surplus of rice along 26 years period. This also shows that OKU regency is able to meet the needs of food rice. The factors that affect food security are (1) the availability of food with a variable land area, production and productivity, (2) stability with variable food consumption, food availability and food access, and (3) access to food that is variable income, the price of rice, the price of corn.Strategies undertaken to improve food security are doing expansion field and farming intensification, applying a single policy basic price of grain, local government policy to apply the regulation about land use, developing of farming with institutional concept, diversifying crops, reducing consumption rice, stabilizing food prices, and improving food reserves. It can be concluded thatstrategy of strengthening food security can be improved by implementing capabilities, minimizing shortage, maximizing opportunities, and overcoming the threats. This study suggest that government should follow the concept of food securitydevelopment and implement the strategy.</em></p><p><em> </em></p><p align="center">ABSTRAK</p><p align="center"> </p><p>Analisis strategi penguatan ketahanan pangan beras di Kabupaten Ogan Komering Ulu adalah suatu strategi yang berfungsi untuk meningkatkan ketahanan pangan dengan dimensi ketersediaan, stabilitas dan akses pangan. Penelitian ini adalah penelitian bersifat <em>historical</em> (sejarah), menggunakan data runtun waktu (<em>time series</em>) yaitu selama kurun waktu 26 tahun. Teknik mengumpulan data menggunakan panduan kuisioner. Untuk analisis data menggunakan analisis regresi berganda dan matrik SWOT. Data disajikan dalam bentuk tabel dan gambar serta narasi untuk menginterpretasikan data tersebut. Hasil penelitian menunjukan bahwa kondisi ketahanan pangan di Kabupaten OKU masih dapat memenuhi kebutuhan beras masyarakatnya. Kecukupan ketersediaan pangan, stabilitas dan akses pangan yang ada di wilayah Kabupaten OKU mengalami surplus beras selama kurun waktu 26 tahun. Hal ini juga menunjukan bahwa Kabupaten OKU mampu mencukupi kebutuhan pangan beras masyarakatnya. Faktor-faktor yang mempengaruhi ketahanan pangan yaitu (1) ketersediaan pangan dengan variable luas lahan, produksi dan produktifitas, (2) stabilitas pangan dengan variable konsumsi, ketersediaan pangan dan akses pangan, serta (3) akses pangan variable yaitu pendapatan, harga beras, harga jagung. Strategi yang dilakukan untuk meningkatkan ketahanan pangan di Kabupaten OKU yaitu melakukan areal ekstensifikasi dan intensifikasi usahatani, menerapkan kebijakan tunggal harga dasar gabah, kebijakan pemerintah daerah untuk mengeluarkan peraturan tentang alihfungsi lahan, pengembangan usahatani dengan konsep kelembagaan, melakukan diversifikasi tanaman pangan, menurunkan tingkat konsumsi beras, menjaga stabilitas harga pangan, serta penguatkan cadangan pangan. Dapat disimpulkan bahwa strategi penguatan ketahanan pangan dapat ditingkatkan dengan menerapkan kemampuan, meminimalkan kekurangan, memaksimalkan peluang yang ada serta mengatasi ancaman yang menantang. Saran penelitian ini hendaknya pemerintah menindaklanjuti konsep pengembangan ketahanan pangan serta mengimplementasikan strategi tersebut.</p>

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.

Sign in / Sign up

Export Citation Format

Share Document