scholarly journals Carrying capacity and food self-sufficiency of paddy field resources: NDVI analysis in Batang Regency, Central Java Province, Indonesia

2021 ◽  
Vol 4 (2) ◽  
pp. 245
Author(s):  
Ananto Aji ◽  
Edy Trihatmoko ◽  
Sigit Bayhu Iryanthony

Food self-sufficiency policy in Indonesia relies on the sustainability of productive land that meets the requirements for carrying capacity of agricultural land. But the fact is that in various regions, the existence of agricultural land resources is increasingly being degraded in terms of quantity and quality. This study aims to evaluate paddy field with NDVI analysis with extensive GIS calculations and integrated with the food self-sufficiency formulas. Monitoring of paddy field area using remote sensing and mapping techniques has been well recognized and efficient. The research was conducted in Batang Regency, Central Java Province, Indonesia, that annually produces 104,211ton rice on average. The results showed that the production of lowland rice is sufficient to meet the daily rice needs of 897.19 gr per capita. The regency also showed a surplus of rice production of more than 342 gr per capita above the daily needs, fulfilling the criteria of food self-sufficiency. Food self-sufficiency classification is associated with the carrying capacity analysis found ca. 4.179 (α>1), revealing that rice production can fulfil the needs of the population of Batang Regency.  JEL Classification 013; Q00; R11

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Magfirah Djamaluddin ◽  
Andi Ramlan ◽  
Muh. Jayadi

The area of agricultural land, especially paddy fields, is related to the level of rice production. Conversion of agricultural land to non-agriculture will have an impact on the availability of rice supply. This study aims to identify changes in paddy field land use in 2005 - 2016 using high-resolution satellite imagery and calculate the need for rice per capita in Pallangga District. This research utilizes the application of geographic information systems in monitoring changes in paddy field use. The method used in the classification of land use is digitizing on screen. The conversion of paddy fields to non-paddy fields was obtained from the results of overlapping maps of Pallangga District land use maps in 2005 and 2016 and presented in the form of cross tabulations. The accuracy test results obtained the overall accuracy value of 98.04%, and the kappa accuracy value of 0.98. This study shows that paddy field area has decreased by 305.25 ha. The change consisted of 17.68 ha into a water body, turned into a garden of 132.86 ha and became a settlement of 154.71 ha. The conversion of paddy fields in Pallangga District in 2005-2016 affected rice production. The results of the analysis of the needs of rice per capita per year show that in 2017 Pallangga District is surplus in the supply of rice to its population. However, based on population projection, the decrease in land area and rice production in Pallangga Subdistrict in 2020 was unable to meet the rice needs of its population of 1,027 tons


2021 ◽  
Vol 21 (1) ◽  
pp. 96
Author(s):  
Anandhiya Anandhiya ◽  
Agus Arifin ◽  
Istiqomah Istiqomah

Food security is included in the second Sustainable Development Goals (SDGs), namely to overcome poverty, improve quality of life and regional development. This study aims to analyze the effect of population, income  per capita, rice production and poverty on the average per capita expenditure in Central Java Province in 2015-2019. The research method uses multiple linear regression with the penel data model. The results showed that the population and rice production had a significant effect on the average per capita expenditure in Central Java Province in 2015-2019. Meanwhile, income per capita and poverty not significant effect on average per capita expenditure in Central Java Province in 2015-2019.. The implication of government policy is to maintain food security in Indonesia and be able to reduce the population by streamlining the family planning program. 


2021 ◽  
Vol 16 (2) ◽  
pp. 373-378
Author(s):  
Wulandari Dwi Etika Rini ◽  
Endang Siti Rahayu ◽  
Mohamad Harisudin ◽  
Supriyadi Supriyadi

The land is an important factor for people whose lives depend on the agricultural sector. The need for land for various uses has resulted in decreasing agricultural land which could have implications for decreasing food production. Alternative options which are expected to increase the potential for food production are the utilization of marginal land. Farmers with marginal land need to manage their production to meet household needs. So it is important to examine the marketable surplus, the level of commercialization, and the carrying capacity of marginal land. The research area was taken by purposive sampling method in Gunungkidul Yogyakarta. The samples taken were upland rice farmer households with the simple random sampling method. The marketable surplus analysis uses a marketable surplus formula, then the percentage is used to determine the level of farm commercialization. The carrying capacity analysis is carried out using the carrying capacity formula. The results showed that farmer households manage rice production by allocating an average of 59.1% for marketed and 40.9% for household consumption. The allocation of marketable surplus is greater than for household consumption, this shows that gogo rice farming households are towards commercially. The marginal land carrying capacity of 0.641 indicates that the land cannot be developed in an expansive and exploratory manner. The implication is in increasing upland rice production on marginal land, namely by an intensification of farming.


2017 ◽  
Vol 2 (2) ◽  
pp. 23-30
Author(s):  
Ernoiz Antriyandarti ◽  
Susi Wuri Ani

Objective - The Indonesian rice sector seems to lose global competitiveness, and the government intervenes in the market to achieve food self-sufficiency. Particularly, in the main rice producing areas of Central Java, the rice sector does not have a comparative and competitive advantage due to small farm size. Then, we need to investigate the reasons why the farm sizes of rice producers are still small. Methodology/Technique - We hypothesize that the existence of surplus labor in rural areas restrains farm size enlargement. Therefore, we need to examine the existence of surplus labor in study area. By using the empirical model of the Cobb Douglas production function, we test the hypothesis of surplus labor. The estimation result shows that there is a surplus of labor in the study area. Findings - In addition, we examine the impact of surplus labor on land lease market in rural area. This study proves empirically that there is surplus labor in rural areas; therefore, farmers have difficulty finding job opportunities in sectors other than farming. In such a case, they prefer to cultivate rather than lease their land. Novelty - This result implies that the existence of surplus labor restricts the number of land lease contract. As a result, the land lease supply in the land lease market has become very limited. Thus, the existence of surplus labor in rural areas would be a constraint of farm size enlargement. This is the first study which explores the relationship between surplus labor and land lease market in the main rice producer area in Central Java. Type of Paper: Empirical Keywords: Impact; Existence; Surplus Labour; Land Lease Market; Farm Size Enlargement. JEL Classification: E24, H83.


Pastura ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 83
Author(s):  
Prihantoro I. ◽  
Aryanto A.T. ◽  
Karti P.D.M.H.

Forage is the main feed of buffalo in smallholder farms. The need of forage will increase along to the increased demand of buffalo population. Buffaloes are kept as semi-intensive in natural grassland, house yard and integrated with agricultural land. Forages availability for buffalos are low in the dry season. The aim of this research is to measure the potential forage and the strategy for self-sufficiency of forage for buffalo in Province of Banten. The research was conducted in buffalo pasture (natural and integrated with paddy fields) managed by smallholder farmers in Lebak and Serang Regencies, Banten Province. Parameters measured include: (1) botanical composition of forage, (2) forage carrying capacity, (3) types of feed crops in buffalo pastures, (4) quality of silage and hay products from buffalo pasture. The results showed that botanical composition was varied with predominant vegetation dominance was grasses (56.55-95.94%), low and varied carrying capacity (0.29 ± 0.17 - 0.98 ± 0.39 AU/ha), 24 types of forage plant were found which are potential as buffalo feed. Silage and hay from buffalo grassland were potential as feed resources in the dry season. Keywords: buffalo, natural grassland, self-sufficient feed, smallholder


2020 ◽  
Vol 16 (2) ◽  
pp. 123
Author(s):  
Sri Pujiati ◽  
Amelia Pertiwi ◽  
Churun Cholina Silfia ◽  
Dewa Maulana Ibrahim ◽  
Siti Hadiyati Nur Hafida

AbstractFood security becomes an aspect that needs to be considered, especially when the population and degradation of agricultural land are increasing. Many variables that affect the measurement of the food security index, and what is often used is the availability, affordability, and utilization of food. This study aims to determine the effect of food availability, affordability, and utilization variables on the food security index. This study uses a correlational design and multiple regression analysis techniques. All regions in Central Java Province were the objects of this study, there are 35 districts/cities. The results from this study showed that the three variables did not significantly influence the increase of the food security index. The result shows that the current food security index has been influenced by other variables.  Therefore, the government needs to examine more closely the new variables that affect the food security index in order to develop a strategy to improve the food security index in Central Java Province, especially in the era of the industrial revolution 4.0. Keywords: Food Security Index; Food Affordability; Food Availability; Food Utilization


2018 ◽  
Vol 7 (3) ◽  
pp. 1962
Author(s):  
Diandra Chika Fransisca ◽  
Padosroha Marbun

Population growth model is a widely been used model to do an estimation and forecasting towards the population of peoples, animals, bac-teria and even in economics growth. Many studies have been carried out on population growth model concerning the factors of birth, death and carrying capacity in order to predict the number of population at certain area. From these studies there is only one study involved the constant value factor of migration as an input in the logistic model. Therefore contradicting with the above modified logistic model, in this study logistic model is modified by adding a migration factor as a function of population. This function takes into account the migration and the interaction between peoples that is limited to the carrying capacity of the environment. This model can be solved qualitatively using the analysis of equilibrium point and quantitatively using the separable variables method. This modified logistic model with migration factor has been applied in the population prediction of Purwanegara village in Central Java Province, Indonesia. Throughout the results, the modified logistic model with migration factor as a function of population gives a better result for population prediction of Purwanegara village in Central Java Province, Indonesia compared with logistic model.  


2018 ◽  
Vol 10 (2) ◽  
pp. 58
Author(s):  
Prima Rizky Mirelva ◽  
Ryota Nagasawa

The agriculture sector makes a significant contribution to the Indonesian economy and has become one of the sources of national income. Therefore, precise agricultural mapping is very important to national and regional administrations. Satellite remote sensing provides the most effective tool for identifying a wide expanse of agriculture croplands. However, cloud coverage in tropical regions limits the use of optical remote sensing. SAR is an active remote sensing technique, which offers completely cloud-free observation data. The multi-temporal ALOS-2/PALSAR-2 data were used in this study, complemented by optical multi-temporal remote sensing data, that is, Landsat 8 OLI for classifying complex agricultural croplands. The study area, located in the Klaten Regency, Central Java Province, with 112 km2 coverage, was selected because of its dynamic cropping pattern and complex agricultural land use types. In this study, the RGB composite of HH, HV and HV-HH, derived from ALOS-2/PALSAR-2 polarizations, was found to be effective at separating two types of paddy field cropping pattern: all-year paddy (paddy-I) and paddy upland fields (paddy-II). The multi-temporal Landsat 8 data were also found to be useful for observing the cropping pattern. Moreover, the classification accuracy, which was as high as 85.02% in terms of overall accuracy, with a kappa coefficient of 0.824, from multi-temporal ALOS-2/PALSAR-2 data, was obtained. These results show that multi-temporal ALOS-2/PALSAR-2 data are capable of discriminating between two different paddy field cropping types, as well as beneficial for discriminating between the cropping stage and cropping pattern information for several other land uses.


2020 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Pranichayudha Rohsulina ◽  
MS Khabibur Rahman ◽  
Agung Hidayat

Analysis of the carrying capacity of agricultural land is one of the evaluation tools for sustainable development that can provide an overview of the relationship among population, agricultural land and the environment. This research aims to analyse the carrying capacity of agricultural land in each village in Mojolaban Subdistrict. Analysis of the carrying capacity of land in this research uses a concept developed by Sumarwoto (1985) where the magnitude of the carrying capacity of agricultural land is inversely proportional to population pressure. The results show that the carrying capacity of agricultural land in Mojolaban Subdistrict is inversely proportional to the population compressive pressure on agricultural land. Generally, the carrying capacity for agricultural land in Mojolaban Subdistrict is low level. There are 11 villages (73%) which have low carrying capacity for agricultural land and only 4 villages (27%) which have high carrying capacity of agricultural land.


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