scholarly journals Kinerja Ketahanan Beras Di Indonesia: Komparasi Jawa Dan Luar Jawa Periode 2005-2017

2019 ◽  
Vol 25 (1) ◽  
pp. 107
Author(s):  
Corryati Wardani ◽  
Jamhari Jamhari ◽  
Suhatmini Hardyastuti ◽  
Ani Suryantini
Keyword(s):  
Time Series Data ◽  
National Level ◽  
Balance Sheet ◽  
Secondary Data ◽  
Rice Production ◽  
Series Data ◽  
Lower Growth ◽  
Consumption Growth ◽  
Rice Consumption ◽  
Per Capita

ABSTRACT The study analyzed rice resiliencei Indonesia using the rice security index indicator to described the performance of rice resilience by comparing Java and Outside Java condition in the period of 2005-2017. The method used was a descriptive approach, based on secondary data in the form of time series data from the Central Statistics Agency (BPS), Ministry of Agriculture (MOA), and Logistics Affairs Agency (Bulog). The data was in the form of rice production, rice consumption, rice stocks, export and import of rice and other relevant data. The study was conducted by compiling a food balance sheet and calculating the ratio of the availability of per capita rice to the consumption of per capita rice, considering the expectation of rice self-sufficiency. The results of the analysis showed that either in Java, Outside Java or at the national level, it indicated that rice production increased due to the increase of productivity, national rice consumption growth -0.0013 percent driven by per capita rice consumption growth -1.35 percent despite population growth of 1.47 percent while rice resilience grew 7.68 percent per year. Condition Outside Java had a better performance of rice resilience than Java with an increase in the relative surplus of rice availability which was 44.54 percent higher than Java. Java achieved a lower increase in rice resilience due to the lower growth in the availability of per capita rice and decreased per capita rice consumption compared to Outside Java.Optimizing of rice production Outside Java and management of community consumption patterns through means to diversified staple foods and increased the nutritional quality of consumption need to be done so that rice resilience in the future will increasedABSTRAKPenelitian mengkaji ketahanan beras di Indonesia menggunakan indikator indeks ketahanan beras untukmengambarkan kinerja ketahanan beras denganmembandingkan Jawa dan luar Jawa periode 2005-2017. Metode yang digunakan adalah pendekatan deskriptif, berdasarkan data sekunder berupa data Badan Pusat Statistik (BPS), Kementerian Pertanian (Kementan), dan Badan Urusan Logistik (Bulog), berupadata produksi padi, konsumsi beras, stok beras, ekspor dan impor beras serta data lain yang relevan. Kajian dilakukan dengan menyusun neraca bahan makanan dan menghitung rasio ketersediaan beras per kapitadengan konsumsi beras per kapita, mempertimbangkan harapan kemandirian beras. Hasil analisis regional Jawa dan luar Jawa maupun nasional menunjukkan produksi padi meningkat karena peningkatan produktivitas. Pertumbuhan konsumsi beras nasional -0,0013 persen didorongpertumbuhan konsumsi beras per kapita-1,35 persen meskipun terjadi pertumbuhan penduduk 1,47 persen, sehingga kinerja ketahanan beras tumbuh 7,68 persen per tahun.Kinerja ketahanan beras luar Jawalebih baik daripada Jawa dengan peningkatan surplus relatif ketersediaan beras lebih tinggi 44,54 persen dibanding Jawa.Peningkatan ketahanan berasJawa lebih rendah karena pertumbuhan ketersediaan beras per kapita dan penurunan konsumsi beras per kapita lebih rendah dibanding luar Jawa.Optimasi produksi beras di luar Jawa danpengelolaan pola konsumsi masyarakat melalui upaya diversifikasi pangan pokok maupun peningkatan kualitas gizi konsumsi perlu dilakukan agar ketahanan beras semakin meningkat.

PENGARUH SUBSIDI INPUT TERHADAP NILAI TUKAR PETANI PADI DI INDONESIA

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Redy Prasetyo ◽  
R. N. Afsdy Saksono
Keyword(s):  
Path Analysis ◽  
Time Series Data ◽  
National Level ◽  
Secondary Data ◽  
Terms Of Trade ◽  
Series Data ◽  
Survey Method ◽  
National Data ◽  
Agricultural Input ◽  
Paddy Yield

This study aimed to determine how impact of the agricultural input subsidy on farmer terms of trade in Indonesia. This study used a quantitative approach with survey method on time series data of each variable analyzed. Research variables were seed subsidy, fertilizer subsidy, paddy yield and farmer terms of trade. The data used are secondary data from 2009-2015. The analytical method employed was path analysis was applied to the analysis of the national data. The results of path analysis showed that at the national level, seed subsidies affect NTP negatively. Fertilizer subsidies analysis at the national level, also showed negative affect on NTP.Keywords: seed subsidy, fertilizer subsidy, productivity, farmer terms of trade, path analysis

scholarly journals FACTORS INFLUENCING PERSONAL BANKRUPTCY AMONG YOUTH IN MALAYSIA

2021 ◽  
Vol 3 (7) ◽  
pp. 85-91
Author(s):  
Suzana Hassan ◽  
Muhamad Khodri Kholib Jati ◽  
Nurul Huda Md Yatim ◽  
Mohd Azlan Abd Majid
Keyword(s):  
Unemployment Rate ◽  
Financial Literacy ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Per Capita Income ◽  
Personal Bankruptcy ◽  
Factors Influencing ◽  
Per Capita

The objective of this paper is to explore the factors influencing personal bankruptcy among youth in Malaysia. This paper intended in creating more awareness and give more information to Malaysian about the importance of personal insolvency is due to the increasing of personal insolvency cases from year to year especially in 2016, 2017, and 2018 which involves 290,001, 300,958, and 303,415 cases. Some Malaysian have issues in financial literacy and it will lead to growth in personal bankruptcy cases if there is less initiative to avoid it. Other than that, the objectives of this paper are to discover whether a Non-Performing Loan, unemployment rate, and per capita income affect the bankruptcy cases in Malaysia. This paper using secondary data analysis using time series data yearly starting from 1985 until 2017 and it is consisting of thirty-three observations. The result showed Non-Performing Loan and per capita income are positively significant with personal bankruptcy while positively insignificant with the unemployment rate.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI HARGA DAN KETERSEDIAAN BERAS DI TINGKAT NASIONAL

2017 ◽  
Vol 10 (2) ◽  
pp. 229
Author(s):  
Widodo Widodo
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
National Level ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Positive Trend ◽  
Regression Equations ◽  
Before And After ◽  
Rice Prices

The  objectives  of  this  study  were:  (1)  to  understand  the  development  of domestic  rice  prices  at  the  national  level,  (2)  to  identify  factors  that  influence  the domestic rice prices at the national level, and (3) to determine the factors that affect the  availability  of  rice  at  the  national  level.  The  data  used  in  this  research  was secondary  data  obtained  from  the  BPS,  BULOG,  and  FAO  statistics.  The  data obtained were systematically recording in the form of a time series data since 1979 until 2008 at the national level. The model used in this research is simple regression equation or the Ordinary Least Square (OLS). This model was used to identify trends and  the  factors  affecting  the  price  and  availability  of  rice  nationwide. Regression equations  estimated  to  test  the  functionality  of  R2,  the  F-test,  t-test,  and  D-W.The results of this study indicate: (1) the rate of growth of retail rice prices at the national level has increased in the positive trend, (2) the domestic rice prices at the national level  is  influenced  by  the  base  price  of  grain  and  world  rice  prices,  and  (3)  the availability of long-term national from the year 1979-2008 rice prices was influenced by domestic supply, exchange rate farmers, the harvested area, and the availability of rice  before  and  after  the  moneter  crisis.  The  availability  of  rice  in  the  short  term before and after  the crisis were influenced significantly by harvested area, at the time of  pre-crisis  (1979-1997)  and  by  domestic  supply,  farmers  exchange  rate,  and  the harvested area, on the time after the crisis (1997-2008).

scholarly journals A Comparative Study of Indonesian Estimated Rice Production and Consumption

2020 ◽  
pp. 101-112
Author(s):  
Tri Anggraeni
Keyword(s):  
Secondary Data ◽  
Rice Production ◽  
Projection Data ◽  
Comparison Result ◽  
Total Consumption ◽  
Production And Consumption ◽  
Consumption Data ◽  
Rice Consumption ◽  
Rice Prices ◽  
Per Capita

The permit of two million tons of rice import in 2018 has tickled Indonesia's ability to fulfill its own rice needs. Farmers' anxiety that rice import can affect rice prices proved by its declining. The distribution of imported rice indeed has not been optimal. People say that imports are carried out without proper planning. This study aims to estimate the rice production and consumption data of Indonesia in 2014 to 2019, compare those data, and conclude whether Indonesia needs to import the rice at those years based on the comparison result. Estimating rice production and consumption were carried out using secondary data consisted of paddy production data, per capita rice consumption data, and population projection data which obtained from the website of the Central Statistics Agency (BPS) and/or the Ministry of Agriculture. Based on the comparison result between rice production and consumption data from 2014 to 2019, it can be concluded that from 7 islands in Indonesia, only 2 islands have the estimated rice consumption which always more than the estimated production, namely Maluku and Papua. The total estimated rice consumption in Indonesia is always lower than the estimated production. A rice surplus on a nearby island, Sulawesi, should be able to cover shortages in Maluku and Papua. If the estimated rice consumption in these three islands is totaled, the amount is always smaller than the estimated rice production in these three islands. This is because the production of rice on the island of Sulawesi is very large. The estimated total consumption of rice in 2019 is only 60% of production.

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals UPSUS PAJALE DALAM MENUNJANG PROGRAM SWASEMBADA PANGAN DI KABUPATEN BOLAANG MONGONDOW

2017 ◽  
Vol 13 (2A) ◽  
pp. 253
Author(s):  
Jeremy ., Ponto ◽  
Noortje M. Benu ◽  
Ribka M. Kumaat
Keyword(s):  
Time Series ◽  
Agricultural Production ◽  
Time Series Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Rice Production ◽  
Series Data ◽  
Corn Production ◽  
North Sulawesi ◽  
Self Sufficiency

This study aims to determine the trend of agricultural production in supporting food self-sufficiency program "PAJALE" in Bolaang Mongondow District. This research conducted for 3 months. The data used in this research is secondary data obtained from Agriculture Department of North Sulawesi Province. The variables that will be measured in this research are (1). Rice production Year 2015 - 2016, (2). Corn production Year 2015 - 2016, (3). Soybean Production Year 2015 - 2016. The analysis used in this research is descriptive analysis using time series data. In conclusion, the production of rice, corn and soybean crops in 2015 is ATAP 2015 data. The research shows that there is an increase in rice production, corn, soybean in Bolaang Mongondow in 2015 - 2016, due to the presence of UPSUS in the form of 2015 until 2017.

scholarly journals The Effect of Zakat, Poverty, Unemployment, and Per Capita Income on HDI Through Economic Growth As Intervening Variables in Central Java Period 2017-2020

2021 ◽  
Vol 1 ◽  
pp. 57-66
Author(s):  
Erin Yulfitasari ◽  
Anton Bawono
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Central Java ◽  
Per Capita

The purpose of this study was to determine the effect of zakat, poverty, unemployment, and income per capita on the human development index in Central Java with economic growth as an intervening variable. This research is a quantitative research with secondary data taken from the Central Java Baznas and the BPS website. The data used is panel data, which is a combination of time series data from 2017-2020 and cross section data of 35 districts/cities. The population of this study is in districts/cities in Central Java with saturated sampling. The analysis tool uses eviews 9.0 with regression analysis selected fixed effect model. The results showed that zakat and poverty had a significant effect on HDI, while unemployment and income per capita had no significant effect on HDI. Then zakat and poverty have a significant effect on economic growth, while unemployment and per capita income do not have a significant effect on economic growth. But economic growth has a significant effect on HDI. Then, simultaneously the variables of zakat, poverty, unemployment, and income per capita have no effect on HDI with economic growth as moderating.

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals The Analysis of Factors Affecting Fertility in Riau Province in 2010-2017

2020 ◽  
Vol 2 (1) ◽  
pp. 39-50
Author(s):  
Restu Media ◽  
Tri Sukirno Putro ◽  
Rosyetti Rosyetti
Keyword(s):  
Demographic Transition ◽  
Time Series Data ◽  
Population Control ◽  
Working Women ◽  
Demographic Factors ◽  
Secondary Data ◽  
Fertility Control ◽  
Series Data ◽  
Factors Affecting ◽  
Per Capita

Demographic transition refers to the declining of birth and death rates and is followed by a reduction in population growth rates. This demographic change is caused by demographic factors (birth, death and migration) and non-demographic factors (social and economic). Fertility is an important factor in population control which refers to the demographic transition. As fertility in control, it is expected to solve population problems. Riau Province has a relatively low rate of fertility reduction from other provinces in Sumatra. This study aims to look at the effect of per capita GRDP, the number of working women and poverty on fertility in regencies / cities in Riau Province. This study uses secondary data with data from 12 districts / cities in Riau Province in 2010 - 2017. This study has independent variables namely per capita GRDP, the number of working women and the number of poverty people. The analysis technique used is panel data regression which is a combination of time series data and cross section. Based on the results of research carried out per capita GRDP, the numbers of working women and poverty together have a significant effect on fertility in Riau Province. And partially per capita GRDP and the number of working women have a significant effect on fertility in Riau Province. This shows that in fertility control, these factors need to be included in fertility control in Riau Province.

scholarly journals Analisis Suplai Beras Dan Proyeksinya Di Provinsi Aceh

2019 ◽  
Vol 4 (1) ◽  
pp. 41
Author(s):  
Shafwan Fahmi ◽  
S Safrida ◽  
Suyanti Kasimin
Keyword(s):  
Growth Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Rice Production ◽  
Grain Production ◽  
Consumption Growth ◽  
Processing Data ◽  
Aceh Province ◽  
Rice Consumption ◽  
Rice Prices

This study aims to determine the level of availability of grain production to fill the needs for a certain period of time and the continuity of grain supply to the availability of current paddy fields by taking secondary data, processing data analysis for modeling in projected harvest area, grain production, consumption and rice prices and then the rice production projection is carried out for 2018 until 2022. The results show that for the projections during 2018 to 2022 the rice harvest area will grow by 1.8% per year, rice productivity is 1.4% per year so it can be ensured that grain and rice production will grow by 3.2% per year with a predicted rice consumption growth rate of 1.7% per year from grain production of 2,494,613 tons and rice consumption of 594,145 tons in 2017 which indicates that Aceh Province will still experiencing a surplus of sa rice with the next 5 (five) years with a prediction of grain production of 2,923,845 tons, consumption of rice at 646,394 tons so that the surplus of rice is 1,185,693 tons in 2022. This condition will still occur if all variables are considered constant and the Government's efforts in providing and rehabilitation of agricultural facilities and infrastructure optimally

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