scholarly journals DAMPAK ALIH FUNGSI LAHAN PERTANIAN KE SEKTOR NON PERTANIAN TERHADAP KETERSEDIAAN BERAS DI KABUPATEN KLATEN PROVINSI JAWA TENGAH

2010 ◽  
Vol 25 (1) ◽  
pp. 38
Author(s):  
Catur Tunggal Basuki Joko P ◽  
Joko Purwanto ◽  
Rhina Uchyani Fajarningsih ◽  
Susi Wuri Ani
Keyword(s):  
Growth Analysis ◽  
Secondary Data ◽  
Pool Data ◽  
Land Conversion ◽  
Land Area ◽  
Total Consumption ◽  
Net Production ◽  
Agriculture Land ◽  
The Difference ◽  
Research Show

<p>The objective of this research were to calculate the rate of the agriculture land conversion and the impacts of the agriculture land conversion to rice availability in Klaten Regency. This research used secondary data (pool data) in periode of 1998-2007 twenty six districts. The models used in this research were growth analysis and difference of net production to total consumption (NPKt). The result of this research show that the growth rate of the low land and up land area in Klaten regency were -0,53% and 0,47% per year. Low land conversion was show positive value of the difference of net production to total consumption (NPKt) in Klaten Regency.</p>

scholarly journals ANALISIS PENDAPATAN USAHATANI KAKAO DI DESA SIONTAPINA KECAMATAN LASALIMU SELATAN KABUPATEN BUTON

2018 ◽  
Vol 2 (2) ◽  
pp. 111-122
Author(s):  
Suriadi Suriadi
Keyword(s):  
New Technologies ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
Cost Ratio ◽  
Land Area ◽  
A Value ◽  
Cocoa Production ◽  
Cost Of Production ◽  
The Difference ◽  
The Cost

This research aims to analyze the amount of income earned by farmers from cocoa farming. This research was conducted from May to June 2013 in Siontapina village of Lasalimu Sub-district of Buton Regency. The research sample is determined by sample random techniques (Simple random sampling method) with 30 people. Research data obtained through direct interviews with farmer respondents using a questionnaire. While secondary data is obtained from the village office/administrative and related institutions were analyzed descriptively and quantitatively used to determine the level of income by the formula : N1 = TR- TC, TR = P x Q, TC = TFC + TVC, comparative analysis: Revenue - cost ratio for comparing the difference between the value of production and the cost of production by the formula RC ratio : R/C = Revenue (TR) / Total Cost (TC). The results showed that the income earned by farmers from cocoa farming with land area ranges between 1 to 3 ha of IDR 8,109,000 - 35,437,000/year, with income per capita monthly average IDR 675,750,00 so that Siontapina village had not been considered poor, the average income earned by farmers in cocoa farming with land area- average of 2,05 hectares of IDR 18,426,767/year. Cocoa farming by farmers still does because based on the results of feasibility analysis obtained a value of 5.7. This illustrates that every cost IDR 1.00 incurred by farmers will gain acceptance by IDR 5.7. So, farmers are expected to carry cocoa farming is more responsive and responsive to the presence of new technologies that can increase cocoa production.   Keywords: revenue, cost of production, cocoa.

scholarly journals Penurunan Jumlah Lahan Dan Perubahan Budidaya Tanaman Kopi Bali Kintamani Mengancam Destinasi Wisata Kopi Di Kintamani

2019 ◽  
Vol 7 (2) ◽  
pp. 295
Author(s):  
Ijlal Faiz Bayu Permana ◽  
Made Sukana
Keyword(s):  
Secondary Data ◽  
Sampling Procedure ◽  
Total Production ◽  
Coffee Plantation ◽  
Plant Cultivation ◽  
Coffee Beans ◽  
The Difference ◽  
Depth Interviews ◽  
Research Show ◽  
Dangerous Point

This research is conducted in Catur Village, Kintamani District, Bangli Regency. The purpose of this research is to identify the decreasing number of coffee land of Kintamani Bali Coffee plantation and its causes. The data used in this research are qualitative and quantitative, while the data of this research consists of of primary and secondary data. The data is collected through observation, depth interviews, and documentation. The informants are determined through purposive sampling procedure, and they are I Ketut Jati (Head of Masyarakat Perlindungan Indikasi Geografis Kintamani) and Kocong Neca (Local Coffee Farmer). Afterward, the data that has been found is analyzed by descriptive qualitative method. The results of this research show that the decreasing number of coffee land of Kintamani Bali Coffee plantation on has reach its dangerous point and threaten tourism in Kintamani. In the last two years, the number of coffee land of Kintamani Bali Coffee had decreased significantly from 6.335 Ha to 4.772 Ha and automatically causing the total production of Kintamani Bali Coffee beans dropped from 2.314 Ton to 2.046 Ton. The biggest reason of the decreasing number of coffee land came from land conversion. The difference of income between coffee plantation with orange plantation also made farmers in Desa Catur to shift to grow more orange than coffee. In a 0,5 Ha field, orange plantation could gain profits approximately for Rp 114.945.000, while coffee plantation only gain profits for Rp 63.530.000. Moreover, plant-paracitic nematodes are damaging the coffee plantation. Therefore, the number of lands to grow coffee are decreasing. The recomendation from this research addressed to government service of Agriculture, Plantation and Forestry Bangli to keep oversee Kintamani Bali Coffee plantation and give an aid towards the Nematoda Parasite Diseases problem. Furthermore, farmers required to improve their human resource’s skill, so they can use management system on their plantation. Keywords: Land Degradation of Plantation, Change of Plant Cultivation, Kintamani Bali Coffee, Coffee Tourist Destination, Kintamani District

scholarly journals ANALISIS KEUNGGULAN KOMPARATIF KAKAO DI PROVINSI SULAWESI BARAT

2018 ◽  
Vol 8 (1) ◽  
pp. 18-22
Author(s):  
Samsuddin Samsuddin
Keyword(s):  
Competitive Advantage ◽  
Comparative Advantage ◽  
Secondary Data ◽  
Work Force ◽  
Global Competition ◽  
Land Conversion ◽  
Land Area ◽  
Swot Analyses ◽  
Cocoa Plantation ◽  
Central Statistics

Increased competitive advantage (competitiveness) of Indonesia cocoa becomes an important agenda in order face tight global competition. This research aimed (1) to determine the competitive advantage (Comparative Advantage) of cocoa commodities; (2) to investigate the competitive advantage of cocoa commodities (comparative advantage); (3. The research used a descriptivi-qualitative approach. The population included 5 regencies in West Sulawesi Province. The secondary data were obtained from the work force in the cocoa plantation in both West Sulawesi Province and lndonesia and from both the West Sulawesi Provincial Central Statistics Agency (BPS) and the National Central Statistics Agency. The analyses used were the Locational Qoutient (LQ) and SWOT analyses. The research results revealed that the cocoa commodities in West Sulawesi Province had a comparative advantage in the labor force in the cocoa plantation Sector. In general, since the last five years has the value of LQ> 1 or the average reaches 8.47. While the comparative advantage of the land area of cocoa based on a comparison with the Sulawesi area LQ value reached 2.99 in 2012. While the 2013-2014 experienced a drastic 0,95 and 0,89. That matter decline due to land conversion from cocoa to sawait.

scholarly journals ANALISIS LUAS LAHAN PERTANIAN TERHADAP PRODUKSI PADI DI KALIMANTAN UTARA

2019 ◽  
Vol 9 (1) ◽  
pp. 15 ◽  
Author(s):  
Rika Harini ◽  
Rina Dwi Ariani ◽  
Supriyati Supriyati ◽  
M Chrisna Satriagasa
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Quantitative Methods ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Rice Production ◽  
Land Conversion ◽  
Land Area ◽  
The Social

The increasing population in North Kalimantan will affect the provision of land. Agricultural land conversion cannot be avoided to meet the social and economic needs of the population. To find out land conversion and its impacts in North Kalimantan, a study of a) changes in agricultural land area, b) changes in rice production and c) the effect of changes in agricultural land area on North Kalimantan rice production. Quantitative methods of secondary data analysis were carried out to assess rice production and changes in agricultural land presented in frequency tables, graphs and maps. Analysis of the effect of agricultural land area on rice production in North Kalimantan Province was carried out using linear regression analysis. The results showed that the agricultural land area in North Kalimantan in 2012-2017 had a change of 4,955 ha or around 19.56 percent.. Rice commodities in North Kalimantan in general decreased by 25,468 tons or 0.04 percent. While for agricultural land area significantly (0.029) has an effect on rice production in North Kalimantan.

scholarly journals Is Input Utilization Inelastic to Coffee Production

2020 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Nurhapsa Nurhapsa ◽  
Andi Nuddin ◽  
Suherman Suherman ◽  
Betrixia Barbara
Keyword(s):  
Agricultural Sector ◽  
Secondary Data ◽  
Primary Data ◽  
Land Conversion ◽  
Land Area ◽  
Coffee Production ◽  
Income Sources ◽  
Production Factors ◽  
South Sulawesi ◽  
Coffee Farmers

The agricultural sector is one of the important sectors for the Indonesian economy. Coffee is one of the commodities produced from the plantation sub-sector included in the agricultural sector which also contributes greatly to the Indonesia economy, especially as a source of foreign exchange, employment and income sources as well as other economic actors. This study aims to determine whether the factors of land area production, number of productive trees, farming costs and labour used by coffee farmers are elastic or inelastic to coffee production. Samples were taken as many as 400 coffee farmers spread in four districts namely North Toraja Regency, Enrekang Regency, Sinjai Regency and Bantaeng Regency, South Sulawesi, Indonesia. Data collected in the form of primary data and secondary data. The analysis used the Cobb-Douglass production function. The results show that the use of production factors; land area, number of productive trees, farming costs and labor are inelastic to coffee production, the scale of farming follows the rules of increasing return to scale. Therefore, it is expected that the support of local government (related institutions) to assist coffee farmers in providing superior seeds to increase coffee production, farmers incomes and reduce land conversion.

Women and Entrepreneurship – Albanian Case

2016 ◽  
Vol 1 (1) ◽  
pp. 249
Author(s):  
Anna Xheka
Keyword(s):  
Gender Equality ◽  
Gender Gap ◽  
Secondary Data ◽  
Special Focus ◽  
Full Time ◽  
Men And Women ◽  
Women’S Entrepreneurship ◽  
Part Time ◽  
Women's Entrepreneurship ◽  
The Difference

Women’s entrepreneurship is a powerful source, regarding to the women’s economic independence and empowerment, as well as regarding employment generation, economic growth and innovation, development and the reduction of poverty as well as one of the terms of gender equality. This poster presents the situation of women's entrepreneurship in Europe in comparative terms, with special focus in Albania. The paper has a descriptive nature. Describes three different plans in comparative terms; the representation of men and women in entrepreneurship, the representation of women in entrepreneurship in different countries of Europe and of Europe as a whole, as well as compare to gender quota. Through the processing of secondary data from various reports and studies, this poster concludes that although that the gender equality goal is the equal participation of men and women in all sectors, including the entrepreneurship, in this sector, gender gap it is still deep. Another significant comparative aspect, it is the difference between full and part –time women entrepreneurship. While in full time entrepreneurship in a convince way, men are those that dominate, in part time entrepreneurship clearly it’s evident the opposite trend, women's representation is much higher. It’s very interesting the fact, that the women’s entrepreneurship in Albania, presented in a significant optimistic situation, ranking in the second place, after Greece in the European level

PENGARUH PENDAPATAN RUMAH TANGGA TERHADAP KONSUMSI DAGING (SAPI, BABI DAN AYAM ) DI DESA SEA I KECAMATAN PINELENG

ZOOTEC ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
Richie A.F. Osak ◽  
V V.J Panelewen ◽  
J. Pandey ◽  
I. D.R Lumenta
Keyword(s):  
Household Income ◽  
Household Head ◽  
Secondary Data ◽  
Meat Consumption ◽  
Research Problem ◽  
Chicken Meat ◽  
Primary Data ◽  
Survey Method ◽  
The Difference ◽  
The Village

ABSTRACT THE EFFECT OF HOUSEHOLD INCOME ON MEAT CONSUMPTION (BEEF, PORK AND CHIKEN) AT THE VILLAGE OF SEA I, PINELENG DISTRICT.This study aims to determine the magnitude of meat consumption (beef, porl and chiken) of household based on income levels in the Village of Sea I, Pineleng district and to determine the effect of household income on meat consumption (beef, porl and chiken) in the Village of Sea I, Pineleng district. Formulation of research problem is how much they purchased meat (beef, porl and chiken) consumption household in the Village of Sea I, Pineleng district. This study was conducted in the Village of Sea I, Pineleng district. Study was conducted using a survey method, and data were obtained through primary data and secondary data. Determination of the location (rural sample) in the study was conducted by purposive sampling method. Number of samples used in this study were 30 people. Data of this study were analyzed by descriptive and mathematical analysis methods. Income indicated the amount of income earned in a month household, whether they were from the household head or sourced from other household members who work and earn income. From the money earned, the highest number of respondents had incomes between 1.000.000 to 3.000.000/month with the percentage of 70 %, while the number of respondents with the smallest income was less than 1.000.000/month with the percentage of 16.67 %. The difference of income held by the respondents in the Village of Sea I, would have an impact on the amount of meat purchases each month. This was in accordance with the opinion Sukirno (2002) stating that most of the disposable income is used to buy food and clothing. Most of the meat consumed by people in the Village of Sea I was pork and chicken meat compared to beef, it was because the price of beef was relatively expensive compared to the price of pork and chicken meat. Based on research results, pork was the most meat consumed by family respondents about 21 families with the percentage of 70 % of respondents, followed by chicken meat about 18 families with the percentage of 60 % of respondents, and beef by 8 families with the percentage of 26 respondents, 67 % of domestic poultry and meat about 6 families with the percentage of 20 % of respondents. Based on the results of research, it can be concluded that household income significantly affect the consumption of meat in the Village of Sea I, Pineleng district and the average consumption of meat in the Village of Sea I, Pineleng district was about 8,9  kg/capita/year, below the national target of 10,3  kg/capita/year.   Key Words : Household income, meat consumption, Sea I Village.

PREDIKSI HARGA SAHAM PT. BRI, Tbk. MENGGUNAKAN METODE ARIMA (Autoregressive Integrated Moving Average)

2014 ◽  
Vol 14 (2) ◽  
pp. 60
Author(s):  
Greis S Lilipaly ◽  
Djoni Hatidja ◽  
John S Kekenusa
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Secondary Data ◽  
Research Use ◽  
Autoregressive Integrated Moving Average ◽  
Minimum Data ◽  
Research Show

PREDIKSI HARGA SAHAM PT. BRI, Tbk. MENGGUNAKAN METODE ARIMA (Autoregressive Integrated Moving Average) Greis S. Lilipaly1) , Djoni Hatidja1) , John S. Kekenusa1) ABSTRAK Metode ARIMA adalah salah satu metode yang dapat digunakan dalam memprediksi perubahan harga saham. Tujuan dari penelitian ini adalah untuk membuat model ARIMA dan memprediksi harga saham PT. BRI, Tbk. bulan November 2014. Penelitian menggunakan data harga saham  harian  maksimum dan minimum PT. BRI, Tbk. Data yang digunakan yaitu data sekunder yang diambil dari website perusahaan PT. BRI, Tbk. sejak 3 Januari 2011 sampai 20 Oktober 2014 untuk memprediksi harga saham bulan November 2014. Dari hasil penelitian menunjukkan bahwa data tahun 2011 sampai Oktober 2014 bisa digunakan untuk memprediksi harga saham bulan November 2014. Hasilnya model ARIMA untuk harga saham maksimum adalah ARIMA (2,1,3) dan harga saham minimum adalah model (2,1,3) yang dapat digunakan untuk memprediksi data bulan November 2014 dengan validasi prediksi yang diambil pada bulan Oktober 2014 untuk selanjutnya dilakukan prediksi bulan November 2014. Kata Kunci: Metode ARIMA, PT. BRI, Tbk., Saham THE PREDICTION STOCK PRICE OF PT. BRI, Tbk. USE ARIMA METHOD (Autoregressive Integrated Moving Average) ABSTRACT ARIMA method is one of the method that used to prediction the change of stock price. The purpose of this research is to make model of ARIMA and predict stock price of PT. BRI, Tbk. in November 2014. The research use maximum and minimum data of stock price daily of PT. BRI, Tbk. Data are used is secondary data that taking from website of PT. BRI, Tbk. since January 3rd 2011 until October 20th 2014 to predict stock price in November 2014. From this research show that data from 2011 until October 2014 can be used to predict the stock price in November 2014. The result of ARIMA’s model for the maximum stock price is ARIMA (2,1,3) and the minimum stock price is (2,1,3) can use to predict the data on November 2014 with predict validation that take on October 2014 and with that predict November 2014. Keywords: ARIMA method, PT. BRI, Tbk., Stock

Growth and yield differences between triazine-tolerant and non-triazine-tolerant cultivars of canola

2002 ◽  
Vol 53 (6) ◽  
pp. 643 ◽  
Author(s):  
M. J. Robertson ◽  
J. F. Holland ◽  
S. Cawley ◽  
T. D. Potter ◽  
W. Burton ◽  
...  
Keyword(s):  
Harvest Index ◽  
Growth Analysis ◽  
Oil Content ◽  
Cropping Systems ◽  
Growth And Yield ◽  
Physiological Basis ◽  
Use Efficiency ◽  
The Difference ◽  
Radiation Extinction ◽  
Radiation Use

Canola tolerant to the triazine group of herbicides is grown widely in Australian broad-acre cropping systems. Triazine-tolerant (TT) cultivars are known to have a yield and oil content penalty compared with non-TT cultivars. This study was designed to elucidate the crop physiological basis for the yield differences between the two types. Two commercial cultivars, near-isogenic for the TT trait, were compared in a detailed growth analysis in the field, and 22 crops were compared for phenology and crop attributes at maturity. In the growth analysis study, the TT trait was found to lower radiation use efficiency, which carried through to less biomass at maturity. There were minimal effects on leaf area development and harvest index, and no effect on canopy radiation extinction. Across the 22 crops, where yield varied from 240 to 3400 kg/ha in the non-TT cultivar, yield was on average 26% less in the TT cultivar due to less biomass produced, as there was no significant effect on harvest index. The difference in oil content (2-5%) was greater in low oil content environments. Flowering was delayed by 2-10 days with a greater delay being in later flowering environments. Quantification of the physiological attributes of TT canola allows the assessment of the productivity of different cultivar types across environments.

scholarly journals Improved Detection Using Negative Elevation Angles for Mountaintop WSR-88Ds. Part III: Simulations of Shallow Convective Activity over and around Lake Ontario

2007 ◽  
Vol 22 (4) ◽  
pp. 839-852 ◽  
Author(s):  
Rodger A. Brown ◽  
Thomas A. Niziol ◽  
Norman R. Donaldson ◽  
Paul I. Joe ◽  
Vincent T. Wood
Keyword(s):  
New York ◽  
Flow Direction ◽  
New York State ◽  
Lake Ontario ◽  
Heavy Snowfall ◽  
Land Area ◽  
Lake Effect ◽  
Northern Side ◽  
Low Altitude ◽  
The Difference

Abstract During the winter, lake-effect snowstorms that form over Lake Ontario represent a significant weather hazard for the populace around the lake. These storms, which typically are only 2 km deep, frequently can produce narrow swaths (20–50 km wide) of heavy snowfall (2–5 cm h−1 or more) that extend 50–75 km inland over populated areas. Subtle changes in the low-altitude flow direction can mean the difference between accumulations that last for 1–2 h and accumulations that last 24 h or more at a given location. Therefore, it is vital that radars surrounding the lake are able to detect the presence and strength of these shallow storms. Starting in 2002, the Canadian operational radars on the northern side of the lake at King City, Ontario, and Franktown, Ontario, began using elevation angles of as low as −0.1° and 0.0°, respectively, during the winter to more accurately estimate snowfall rates at the surface. Meanwhile, Weather Surveillance Radars-1988 Doppler in New York State on the southern and eastern sides of the lake—Buffalo (KBUF), Binghamton (KBGM), and Montague (KTYX)—all operate at 0.5° and above. KTYX is located on a plateau that overlooks the lake from the east at a height of 0.5 km. With its upward-pointing radar beams, KTYX’s detection of shallow lake-effect snowstorms is limited to the eastern quarter of the lake and surrounding terrain. The purpose of this paper is to show—through simulations—the dramatic increase in snowstorm coverage that would be possible if KTYX were able to scan downward toward the lake’s surface. Furthermore, if KBUF and KBGM were to scan as low as 0.2°, detection of at least the upper portions of lake-effect storms over Lake Ontario and all of the surrounding land area by the five radars would be complete. Overlake coverage in the lower half (0–1 km) of the typical lake-effect snowstorm would increase from about 40% to about 85%, resulting in better estimates of snowfall rates in landfalling snowbands over a much broader area.

Sign in / Sign up

Export Citation Format

Share Document