Analisis Perbandingan Usahatani Padi Sawah Irigasi Dengan Padi Sawah Tadah Hujan Di Kecamatan Koto Tangah Kota Padang

rahmadiah, Ratna; Tanjung, Faidil; Hariance, Rika

doi:10.25077/joseta.v1i3.177

Cited by 8 publications

(8 citation statements)

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“…Based on the findings, rainfed rice farming in Waru Village is profitable because the R/C is greater than 1. This result aligns with (Rahmadiah et al, 2019), which shows that agriculture in rainfed rice fields is profitable.…”

Section: Contribution Of Rainfed Rice Farming To Farm Household Incomesupporting

confidence: 84%

Role of Rainfed Farming on Farm Household Income in Waru Village Bantarkawung Brebes

Istiqomah,

Ghani,

Gunawan

2023

JIA (J. Ilm. Agribisnis)

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Agriculture is the major contributor to the Brebes Regency's Gross Regional Domestic Product and employment, and rice constitutes the principal crop. Bantarkawung District is the leading producer of rice in the Brebes Regency. However, most of the paddy fields in Bantarkawung are rain-fed, so rice growing is hindered during the dry season due to a water shortage. This study's objective is to assess the farm profits obtained by households and the contribution of rice farming to household income. The population comprises 445 rice-farming families in Waru Village, from which 82 rice farmers were randomly selected. Interviews with respondents were conducted in March 2022. The variables include revenue, costs, profit, and household income. The analytical instruments consist of profit analysis and income contribution. Profit analysis was calculated using the R/C ratio, and the income contribution was calculated by comparing the profit of rainfed rice farming with farm household income. The results indicate that rainfed rice cultivation in Waru Village is profitable. The R/C is more than one, in the range of 1.22 to 2.10. Nonetheless, the contribution of rainfed rice farming to household income is small, ranging from 0.7% to 22.85%. The findings suggest that rainfed rice farmers in Waru Village should be able to sustain their farms because this type of cultivation is profitable despite its reliance on rainwater for irrigation. In addition, it is envisaged that the government, through the appropriate agencies, will enhance the road infrastructure to enable the transfer of agricultural inputs and outputs, offer the necessary socialization, and help boost production.

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Section: Contribution Of Rainfed Rice Farming To Farm Household Incomesupporting

confidence: 84%

Role of Rainfed Farming on Farm Household Income in Waru Village Bantarkawung Brebes

Istiqomah,

Ghani,

Gunawan

2023

JIA (J. Ilm. Agribisnis)

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“…Perencanaan penggunaan tenaga kerja dalam usahatani padi merupakan awal dari mulainya melakukan pengelolaan sumber daya manusia (SDM). Tujuan utama dalam perencanaan tenaga kerja dalam usahatani padi adalah membuat agar tenaga kerja yang tersedia untuk usahatani dapat mencukupi mulai dari persiapan lahan sampai panen [13]. Apabila terjadi kelebihan ketersediaan tenaga kerja, perencanaan diarahkan untuk memperoleh kesempatan kerja lain yang produktif.…”

Section: Alokasi Biaya Tenaga Kerjaunclassified

Analisis Finansial Teknologi Sistem Tanam Jajar Legowo Pada Usahatani Padi Di Lahan Sawah Irigasi

Prasetyo

Setian

Wulandari³

2022

KaliAgri

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Efforts to maintain the productivity of rice farming land in a sustainable manner by applying location- specific technological innovations. Jarwo technology research aims to determine the productivity andprofits of rice farming. The research method used is to compare Jarwo technology with farmerpatterns in rice farming. Data collection is done by means of periodic observations. The data collectedincludes productivity, output, and input of rice farming. Data were analyzed using evaluation methodand cross tabulation. The results showed that the average productivity of rice using Jarwo technologywas 8.90 tons/ha GKP, while the average yield of rice productivity by farmers was 7.80 tons/ha GKP. Milled dry grain (GKG) with a moisture content of 11-12% in Jarwo technology farming is 6.14 tons/ha, while the average productivity of rice using farmer-pattern technology is 5.23 tons/ha. The labor costof rice farming on Jarwo technology is 66.36% of the total cost, while the labor cost of farmingtechnology is 67.32%. The selling value of GKP rice with Jarwo technology is higher than the farmerpattern. Rice productivity and farming profits with Jarwo technology are considered higher with an R/Cratio value of 3.91, while in farming the R/C ratio is 3.85. Jarwo technology has the potential to bewidely developed, it is recommended that massive dissemination be carried out followed by intensiveassistance, both by formal officers and independently.

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“…Jenis padi yang paling umum dan mayoritas dibudidayakan di Indonesia adalah padi sawah [7], baik varietas padi sawah irigasi ataupun padi sawah tadah hujan. Dalam penelitian ini, pengembangan akan berfokus pada padi sawah irigasi, yang didasarkan oleh usahatani padi sawah irigasi lebih baik dibandingkan padi sawah tadah hujan [8].…”

Section: Pendahuluanunclassified

Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi

Nurkholis

Muhaqiqin

Susanto

2020

RESTI

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Agriculture has a strategic role in a country whereas food self-sufficiency being the main goal to be achieved. Indonesia has set a strategic plan for increasing the productivity of several commodities, including rice, especially irrigated lowland rice. That matter can be done by agricultural land extensification, which requires a land suitability directional map. This study aims to produce irrigated lowland rice land suitability maps which can be obtained by evaluation using spatial decision tree algorithm. The model is made in two different types, where model Y is an optimized version of model X. The dataset consists of two categories, namely eleven explanatory layers which are land and weather characteristics, and a target layer that represents irrigated lowland rice land suitability in study area of Grobogan Regency, Central Java Province. As an addition to planting requirements, two spatial weather datasets were generated using ordinary cokriging interpolation, which was not used in previous research, while actually being important element for determining plant timing an agricultural commodity. Based on accuracy, model Y is the best model with 96.67%, compared to model X with 86%. Both models make relief variable as the root node, but in spatial decision tree result, model X involves all variables, while model Y does not involve an elevation variable. The addition of weather variables in models is appropriate, as evidenced by the involvement in rules.

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Analisis Perbandingan Usahatani Padi Sawah Irigasi Dengan Padi Sawah Tadah Hujan Di Kecamatan Koto Tangah Kota Padang

Cited by 8 publications

References 0 publications

Role of Rainfed Farming on Farm Household Income in Waru Village Bantarkawung Brebes

Role of Rainfed Farming on Farm Household Income in Waru Village Bantarkawung Brebes

Analisis Finansial Teknologi Sistem Tanam Jajar Legowo Pada Usahatani Padi Di Lahan Sawah Irigasi

Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi

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