scholarly journals Partisipasi petani ubi kayu (Manihot esculenta) dalam upaya konservasi lahan kering di Kota Pekanbaru

Jurnal Zona ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 29-35
Author(s):  
Nazri Zulfajrin ◽  
Sukendi Sukendi ◽  
Nofrizal Nofrizal
Keyword(s):  
Survey Methods ◽  
Land Ownership ◽  
Land Conservation ◽  
Economic Factors ◽  
Economic Data ◽  
Dry Land ◽  
Regression Methods ◽  
Contour Lines ◽  
Drainage Channels ◽  
Socio Economic Factors

This research was conducted in September 2020 in Tenayan Raya District, Pekanbaru City. This study describes the participation of cassava farmers in the conservation of dry land according to the Land Conservation Index (IKK) and analyzes socio-economic factors that influence these conservation activities. Respondents in this study were cassava farmers who have farming land over one hectare. Conservation activities carried out by farmers to carry out dry land conservation include, making terraces or uplands and planting in the direction of contour lines or crossing slopes, use of mulch or terrace reinforcing grass, use of manure and construction of drainage channels. The approach used in this study used survey methods and interviews with cassava farmers to obtain farmer socio-economic data, and analyzed using simple regression methods. The results showed that the farmers carried out dry land conservation activities at a moderate level. The influence of socio-economic factors that affect the dry land conservation activities of cassava farmers is the factor of acceptance and land ownership status.

scholarly journals An Approach for Measuring Spatial Similarity Among COVID-19 Epicenters

2020 ◽  
Author(s):  
Neda Kaffash Charandabi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Soo-Mi Choi
Keyword(s):  
New York ◽  
Fuzzy Membership Function ◽  
Economic Factors ◽  
Distance Metrics ◽  
Economic Data ◽  
Female Population ◽  
The World ◽  
Copeland Method ◽  
Maximum Similarity ◽  
Socio Economic Factors

Abstract The world has been embroiled in a new epidemic known as COVID-19 since the beginning of 2020. Most countries and territories around the world are affected by the disease, and some cities have become known as epicenters due to high outbreak. The similarity of these cities can be examined within the Geographic Information System (GIS), based on various criteria. This study investigated the similarities between the eight cities of Wuhan, Tehran, Bergamo, Madrid, Paris, Daegu, New York, and Berlin in terms of the COVID-19 situation (target) in those locations based on socio-economic factors, weather, and demographic criteria. First, the factor and target layers were prepared in ArcGIS®10.6 software. For socio-economic data (such as: supermarkets, hospitals, metro stations etc.), the distance maps were classified with a fuzzy membership function. Weather and demographic criteria were also stored in the tables after normalization in the range of zero to one. In next step, the similar cities were identified using the similarity model and different distance metrics (Manhattan, Euclidean, Minkowski, Mahalanobis, Chebyshev, and Correlation). The results were aggregated using the Copeland method, due to the different outcomes of each metric. The most similar city was identified for each selected city and its similarity level was determined based on the criteria. Results indicated that pairs of similar cities are: Wuhan-Berlin, Tehran-Berlin, Daegu-Wuhan, Bergamo-Madrid, Paris-Mardid, and New York-Paris with a minimum and maximum similarity rate of 82.85% and 92.36%. For similar cities, the most similar factors among the socio-economic criteria are the distance from bus and metro stations; among weather, criteria are humidity and pressure; and among demographic criteria are male and female population ratios, literacy ratio, death ratio from asthma and cancer with a minimum and maximum difference of 0% and 64.94%.

scholarly journals KEPUTUSAN INDIVIDU USIA KERJA UNTUK BERMIGRASI: BUKTI DARI DATA LONGITUDINAL DI JAWA TIMUR

2019 ◽  
Vol 14 (1) ◽  
pp. 49
Author(s):  
Arbain Agus Wijaya ◽  
Munawar Ismail ◽  
Arif Hoetoro
Keyword(s):  
Health Insurance ◽  
Marital Status ◽  
Sex Education ◽  
Social Factors ◽  
Agricultural Land ◽  
Land Ownership ◽  
Binary Logistic Regression Analysis ◽  
Economic Factors ◽  
The Individual ◽  
Socio Economic Factors

Migration is not only limited because of the driving and pulling factors from the area of origin and destination. Individual socio-economic factors are important factors that determine the decision to migrate. This study aims to analyze the influence of individual socio-economic factors on migration in East Java Province. The panel data used are longitudinal data from the Indonesian Family Life Survey (IFLS)-4 and the IFLS-5. In this study, the individual social factors consisted of age, sex, education, marital status, family size, and residence characteristics. Moreover, the individual economic factors comprise land ownership for agriculture, ownership of health insurance, loan ownership, and poverty status. By employing the binary logistic regression analysis, we found that migration in the population of East Java Province was influenced by age, marital status, education, and characteristics of residence as social factors as well as agricultural land ownership and health insurance ownership as economic factors.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN USAHATANI KACANG TANAH DI KECAMATAN SEMAU KABUPATEN KUPANG

2020 ◽  
Vol 21 (1) ◽  
pp. 25-33
Author(s):  
Deni K.L. Mudin ◽  
Paulus Un ◽  
Lika Bernadina
Keyword(s):  
Social Life ◽  
Economic Value ◽  
Coefficient Of Determination ◽  
Labor Costs ◽  
Land Area ◽  
Average Income ◽  
Dry Land ◽  
Regression Methods ◽  
The Cost ◽  
Total Average

ABSTRACT Peanuts are one of the high economic value commodities in the dry land area. This commodity also contributes to the social life of the dry land area. This research has been conducted in Semau Sub-district, Kupang Regency, with the aim to determine the amount of income, break event point (BEP), R / C ratio, efficiency of capital use and factors that affect the income of peanuts farming, with the number of farmer respondents as many as 92 people , simple randomly selected. Data that has been collected by survey, library and interview methods; analyzed quantitatively-descriptive using regression methods. The results showed that the total average income of peanut farming in the study location was IDR 1,739,895 with a total average income of IDR 3,498,261 and a total average cost of IDR 1,758,366. While the break event point average of production is 147 Kg and the break event point price is IDR. 6.509, while for the total average the R / C ratio is 1.99. With factors that affect income are production (X1), seed costs (X2), and labor costs (X3). From the regression results with the Cobb-Douglass function the coefficient of determination (R2) is 0.822 with the meaning that variations in independent variables such as production, seed costs and labor costs explain the dependent variable namely income (Y) of 82.20% and the rest 17.80 % is explained by variables outside of the variables analyzed. From the results of the F test (diversity test) it was found that the factors X1, X2, and X3 had a significant effect on income at ⍺ 1%, then accept H1 at least one of: βi ≠ 0. Whereas the results of the t test (partial test) obtained that factors significant effect on income, namely production (X1) and labor costs (X2), while the cost of seeds (X3) does not significantly affect income.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

Sign in / Sign up

Export Citation Format

Share Document