Comprehending Poverty in Rural Indonesia: An In-depth Look Inside Paddy Farmer Household in Marginal Land Area of Banyuasin District, South Sumatra Province

Lisanty, Nina; Tokuda, Hiromi

doi:10.11114/ijsss.v3i3.686

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Poverty in Indonesia has been widely studied [Lisanty and Tokuda, 2015;Sudarlan et al, 2015; characterized by having poor access and are located in difficult geographical location [Minot et al, 2006]. Moreover, the spatial econometrics has a correlation with regional cases and rural economic, which are based on biological and geological phenomenon, and regional science [Anselin, 1988].…”

Section: Introductionmentioning

confidence: 99%

Geographical Weighted Regression Model for Poverty Analysis in Jambi Province

Nashwari

2017

IJG

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Agriculture sector has an important contribution to food security in Indonesia, but it also huge contribution to the number of poverty, especially in rural area. Studies using a global model might not be sufficient to pinpoint the factors having most impact on poverty due to spatial differences. Therefore, a Geographically Weighted Regression (GWR) was used to analyze the factors influencing the poverty among food crops famers. Jambi Province is selected because have high number of poverty in rural area and the lowest farmer exchange term in Indonesia. The GWR was better than the global model, based on high value of R2, lowers AIC and MSE and Leung test. Location in upland area and road system had more influence to the poverty in the western-southern. Rainfall was significantly influence in eastern. The effect of each factor, however, was not generic, since the parameter estimate might have a positive or negative value. Abstrak Sektor pertanian memiliki peran penting terhadap ketahanan pangan di Indonesia, tetapi juga memberi pengaruh pada angka kemiskinan khususnya di wilayah pedesaan. Penelitian dengan menggunakan model global kemungkinan tidak sesuai lagi untuk mengetahui faktor-faktor yang mempengaruhi kemiskinan berdasarkan karakteristik spasial. Oleh karena itu, penelitian ini menggunakan metode Geographically Weighted Regression (GWR) untuk menganalisis faktor yang mempengaruhi kemiskinan petani tanaman pangan. Propinsi Jambi digunakan sebagai lokasi penelitian karena wilayah ini memiliki kemiskinan di pedesaan yang tinggi dan Nilai Tukar Petani (NTP) yang paling rendah di Indonesia. GWR memberikan hasil yang lebih baik dibandingkan model global berdasarkan nilai R2 yang tinggi, nilai AIC dan MSE yang kecil, dan uji Leung. Wilayah lereng/gunung dan jaringan jalan lebih signifikan terhadap kemiskinan di wilayah barat-selatan Jambi. Curah hujan signifikan di wilayah timur. Pengaruh setiap faktor tidak sama di setiap lokasi, karena estimasi parameter dapat positif atau negatif.

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Section: Introductionmentioning

confidence: 99%

Geographical Weighted Regression Model for Poverty Analysis in Jambi Province

Nashwari

2017

IJG

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“…This shows that the family program in Sugihwaras Village is quite successful. This success reflects that the people of Sugihwaras Village can accept innovation from outside, so if there are other innovations, the people of Sugihwaras Village will certainly be able to accept them well, as long as these innovations can improve their welfare (Lisanty & Tokuda, 2015).…”

Section: Characteristics Of Respondentmentioning

confidence: 99%

The Contribution of Women Farming Workers on Household Income

Hamidah

Wahyurini

2023

J. Agrinika

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The village of Sugihwaras of Lamongan Regency is an agricultural area where most of the farmers are paddy farmers with female farm workers. One aspect to examine in the area is the role of rural women in agriculture as members of the household, the outpouring of workdays they do for their daily activities, and to what extent this affects their family's farming income. The study aimed to determine the number of working hours and the contribution of female farm labourers to household income. The study employed a simple random sampling of 60 respondents with interview techniques using a questionnaire. The method of analysis was descriptive analysis. The results obtained that the working hours of female farm workers for one year per hectare of the land area were 540 hours, devoted to paddy farming twice annually. The contribution of female farm workers to household income was IDR 1,687,500 per month or IDR48,600,000 per year per hectare, from paddy farming for two growing seasons annually. It is suggested that the amount of working hours and the contribution of female farm workers to household income is very small, so efforts should be made to increase the number of hours they work so that the income they earn can increase. Efforts are being made, namely raising livestock, as well as training in the manufacture of processed by-products of agriculture, for instance by making sweet potato chips and other preparations that can be sold.

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“…Sehingga menjadi dasar para istri petani yang ada di Desa Boti, Kabupaten Timor Tengah Selatan, untuk menambah pendapatan keluarga dengan bekerja di sektor publik. Namun motivasi bekerja bukan untuk mengisi waktu luang, tetapi motivasinya mencari nafkah, untuk mencukupi kebutuhan keluarga mereka (Lisanty & Tokuda, 2015).…”

Section: Hasil Penelitianunclassified

Kontribusi Gender di Desa Boti Kabupaten Timor Tengah Selatan

Wang

Tameno

2022

AGRINIKA

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This study aimed to determine the gender contribution of farmers' wives in the domestic and public sectors in increasing household income. This research was conducted in Boti Village, Timor Tengah Selatan Regency, Nusa Tenggara Timur Province, with ten farmers' wives as key informants. The study employed a descriptive qualitative approach. The data collection techniques were observation, interviews, and documentation. The study results indicated that the farmer's wife had contributed significantly to her family. The wives helped husbands increase their household income by working in the public sector, and they also played a role in the domestic industry. They played dual roles to prosper their families, as housewives and working wives. Fokus dalam penelitian ini adalah Kontribusi gender dari para istri petani Desa Boti yang bekerja di sektor domestik dan sektor publik untuk meningkatkan pendapatan keluarga di Desa Boti Kabupaten Timor Tengah Selatan. Penelitian dilaksanakan di Desa Boti Kabupaten Timor Tengah Selatan. Dengan menggunakan pendekatan deskriptif kualitatif. Dengan teknik observasi, wawancara dan dokumentasi.Hasil penelitian ini menunjukkan bahwa kontribusi gender istripetani di Desa Boti Kabupaten Timor Tengah selatan, telah banyak memberikan kontribusi yang cukup bagi keluarganya, para istri petani di Desa Boti turut andil dalam membantu suami untuk meningkatkan pendapatan rumah tangganya dengan bekerja di sektor publik serta para istri petani juga berperan dalam sektor domestik guna untuk mensejahterakan keluarganya dengan peran ganda, menjadi ibu rumah tangga dan mencari nafkah membantu ekonomi keluarga.

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Comprehending Poverty in Rural Indonesia: An In-depth Look Inside Paddy Farmer Household in Marginal Land Area of Banyuasin District, South Sumatra Province

Cited by 5 publications

References 8 publications

Geographical Weighted Regression Model for Poverty Analysis in Jambi Province

Geographical Weighted Regression Model for Poverty Analysis in Jambi Province

The Contribution of Women Farming Workers on Household Income

Kontribusi Gender di Desa Boti Kabupaten Timor Tengah Selatan

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