Analisis Faktor-Faktor Sosial Ekonomi yang Mempengaruhi Pendapatan Usahatani Nanas Madu di Kecamatan Belik, Kabupaten Pemalang

meitasari, amelia putri; Supardi, Suprapti; Barokah, Umi

doi:10.21776/ub.jepa.2020.004.01.20

Cited by 5 publications

(9 citation statements)

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“…These results are supported by research conducted by (Lawalata, 2017). The socioeconomic factors influencing corn production risk are age, education, and income (Annisa et al, 2019). The same result from Annisa's research is that elderly farmers tend to be more cautious, as their experience allows them to assess existing opportunities and are reluctant to bear risks.…”

Section: Analysis Of Factors Influencing Farmers' Behavior Toward Riskmentioning

confidence: 72%

Farmers' Risk Perception, Risk Aversion on Manggosteen Production (Case Study in Pauh Thematic Village)

Paloma,

Hariance,

Raesi

et al. 2024

Bul. Penelit. Sos. Ekonomi Pertan. Fakultas Pertan. Universitas

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The mangosteen commodity has become a leading product of West Sumatra Province due to its large export market share, which requires farmers to maintain the quantity and quality of the mangosteen they produce. Mangosteen has a high economic value, but its cultivation is still traditional, and the quality produced is not entirely in line with the expectations of the export destination countries. Since 2021, the Mayor of Padang has designated the Pauh District as a thematic mangosteen village, but fluctuations in mangosteen production indicate risks. This research analyzes the relationship between farmer characteristics and their attitude toward mangosteen production risks. The research method involves a survey and the sampling of 40 farmers using purposive sampling. Data was collected from June to July 2023. The level of risk is analyzed using the coefficient of variation method, while farmer risk behavior is assessed using the Moscardi and de Janvry method. Factors influencing farmers are analyzed using Ordinary Least Square (OLS) regression. The research results indicate a production risk for mangosteen with a coefficient of variation value of 0.47 (47%). Most farmers, 38 out of 40 (98%), exhibit a risk-averse behavior, while two farmers (2%) have a neutral risk attitude. The characteristics of farmers that significantly influence their risk behavior are age, farming experience, and farming income.

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Section: Analysis Of Factors Influencing Farmers' Behavior Toward Riskmentioning

confidence: 72%

Farmers' Risk Perception, Risk Aversion on Manggosteen Production (Case Study in Pauh Thematic Village)

Paloma,

Hariance,

Raesi

et al. 2024

Bul. Penelit. Sos. Ekonomi Pertan. Fakultas Pertan. Universitas

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“…Al (2022), Himmati (2017), Lubis (2014), dan Wibowo (2021) menyatakan bahwa tenaga kerja, luas lahan, jumlah bibit, penggunaan pupuk, dan zat pengatur tumbuh (ZPT) merupakan faktor yang mempengaruhi produksi, produktivitas maupun efisiensi usahatani nanas. Lebih spesifik lagi, Himmati (2017), Alfian (2022), Prasetio (2019) dan Setiawan BR, Sibuea MB, Pane E. (2019) telah melakukan penelitian serupa di beberapa daerah di Indonesia. Namun belum ada penelitian terkait pengaruh input produksi pada produksi nanas di daerah sentra produksi dengan pengelolaan usahatani oleh petani skala kecil.…”

Section: Gambar 1 Produksi Nanas DI Daerah Yang Menjadi Sentra Produksiunclassified

“…Berdasarkan hasil regresi terhadap model dugaan, penggunaan tenaga kerja (X1) tidak berpengaruh secara nyata terhadap produktivitas nanas. Hasil penelitian ini sejalan dengan beberapa penelitian lainnya yang menunjukkan bahwa jumlah tenaga kerja tidak berpengaruh secara nyata terhadap jumlah produksi nanas (Naipon 2021;Wibowo et al 2021;Prasetio 2019;Setiyawan 2017). Hal tersebut disebabkan karena aktivitas budidaya nanas di lokasi penelitian tidak membutuhkan banyak tenaga kerja.…”

Section: Jumlah Tanamanunclassified

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Faktor–Faktor Yang Memengaruhi Produktivitas Nanas Di Kabupaten Subang

Dwi Nanda Putri,

Pambudy,

Gita Dewi

2024

Forum Agribisnis

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Pineapple productivity in Subang Regency has tended to decline in recent years. The resulting pineapple productivity is also still lower than the pineapple productivity target of Subang Regency. To be able to increase pineapple productivity, it is necessary to know the factors that affect it. Therefore, this study aims to analyze factors influencing pineapple productivity in Subang Regency. The study was conducted at Kumpay and Bunihayu Village Jalancagak District with a total sample of 40 farmers. The analytical method used is descriptive analysis and Cobb-Douglass function analysis. The regression results show that only 2 of 6 factors have a significant effect. The number of plants and the use of ZPT had a significant positive effect on pineapple productivity. The use of these two factors is still not optimal. To increase pineapple productivity, farmers can increase the number of plants and ZPT as recommended.

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“…Potato is one of the horticultural commodities that have great potential to be developed in Indonesia because it can be a source of income for the community and farmers, both small, medium, and large (Ali et al 2020). Further, (Mulyono et al 2018) said that the potential of potatoes as a source of carbohydrates and the provision of sustainable food to achieve resilience had made potatoes included in the superior national commodity and received attention in their development and cultivation.…”

Section: Introductionmentioning

confidence: 99%

The Input Allocation and Potato Production on Small-Scale Farming in Pegunungan Arfak Regency

Pattiasina¹,

Nurmalina²,

Harianto³

et al. 2023

jma

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Small-scale potato farming in the Arfak Mountains needs attention in allocating inputs for efficient farming. This study aims to describe the allocation of the use of potato farming inputs, analyze the factors that affect potato production, and analyze the level of technical efficiency of potato farming in the Arfak Mountains. Arfak Mountains Regency was chosen purposively as the research location. Data collection starts from December 2021 to February 2022. Sampling was done by snowball sampling with a sample of 140 respondents.The data used in this study is cross-section data which was analyzed using the Stochastic Frontier Cobb Douglas production function approach. The results showed that the average farmer in the Arfak Mountains controlled 0.07 hectares of land for potato farming, with a seed requirement of 22 kg per hectare. The factors that affect potato production are land, seeds, and female labor. The level of technical efficiency of potato farming is 73 percent. Improvements in farming management and extension assistance for good agricultural practices and the use of technology according to farmers' local wisdom need to be carried out to increase potato production and productivity.

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Analisis Faktor-Faktor Sosial Ekonomi yang Mempengaruhi Pendapatan Usahatani Nanas Madu di Kecamatan Belik, Kabupaten Pemalang

Cited by 5 publications

References 0 publications

Farmers' Risk Perception, Risk Aversion on Manggosteen Production (Case Study in Pauh Thematic Village)

Farmers' Risk Perception, Risk Aversion on Manggosteen Production (Case Study in Pauh Thematic Village)

Faktor–Faktor Yang Memengaruhi Produktivitas Nanas Di Kabupaten Subang

The Input Allocation and Potato Production on Small-Scale Farming in Pegunungan Arfak Regency

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