Analisis Raskin dan Ketahanan Pangan Rumah Tangga di Indonesia (Analisis Data Susenas 2011)

Sundari, Irma; Nachrowi, Nachrowi Djalal

doi:10.21002/jepi.v15i2.02

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Then, according to (Widyareni, 2011), the total expenditure of farmer households can be determined by calculating food and non-food expenditure with the following formula: TE = FE + NFE, Information: TE: Total Farmer Household Expenditure (IDR) FE: Expenditures for food needs (IDR) NFE: Expenditures for non-food needs (IDR). To determine the food security of farming households in the Mandalika SEZ Buffer Area, Central Lombok Regency, calculations were carried out to determine the proportion of expenditure on food needs to the total expenditure of farming households (Sundari & Nachrowi, 2015;Rachmah, Mukson, & Marzuki, 2017 ;Arida, Sofyan, & Fadhiela, 2015;Purwaningsih, Istiqomah, & Sutomo, 2015) with the formula: PPE = FE/TE x 100%, Information: PPE: Proportion of food expenditure (%). FFE: Expenditures for food needs (IDR).…”

Section: Methodsmentioning

confidence: 99%

Food Security Analysis of Corn Farming Households In The Buffer Area of Mandalika Special Economic Zone

Hidayati,

Septiadi,

Usman

et al. 2023

Int. J. Multidiscipline. Approach. Res. Sci.

View full text Add to dashboard Cite

The existence of the Mandalika Special Economic Zone (SEZ), located in Pujut District, Central Lombok Regency, is an area adjacent to many corn cultivation areas. This condition represents strategic potential for the development of corn commodities and their derivative products. On the other hand, food security is a human right that must be fulfilled. The aim of this research is to; 1) Analyze the socio-economic conditions of corn farmers in the buffer area of Mandalika SEZ; 2) Analyze the food security of corn farmers houshold in the buffer area of Mandalika SEZ; This research was conducted using qualitative-descriptive methods. The data collection technique used interviews with respondents guided by a questionnaire with 40 respondents determined by simple random sampling. The data analysis that will be used in this research is descriptif analysis. The research results show that (1) the average total income of corn farmers is IDR. 28,960,605.28/year, this income comes from agricultural activities amounting to IDR. 23,430,722.93/year, income from non-agricultural activities of IDR. 4,164,000/year and income from other sources (Social-Assistance) of IDR. 1,365,882/year. The average total household expenditure for corn farmers is IDR. 19,506,628/year, with details of food expenditure of IDR. 11,169,548/year, and non-food expenditure of IDR. 8,337,080/year; (2) In general, respondent farmer households included the food secure category. In distribution, there are 20% of farmers who are still in the food insecure category.

show abstract

Section: Methodsmentioning

confidence: 99%

Food Security Analysis of Corn Farming Households In The Buffer Area of Mandalika Special Economic Zone

Hidayati,

Septiadi,

Usman

et al. 2023

Int. J. Multidiscipline. Approach. Res. Sci.

View full text Add to dashboard Cite

show abstract

“…Atau kecenderungan rumah tangga yang anggotanya banyak mengalami rawan pangan daripada tahan pangan adalah 1/0,122= 8,196 kali dibandingkan dengan rumah tangga yang jumlah anggotanya sedikit. Hal ini sejalan dengan penelitian yang dilakukan oleh Sundari, I., & Nachrowi, N. D. (2015) dan Hasanah, B. I. (2018) bahwa semakin meningkatnya jumlah ART maka peluang rumah tangga untuk tahan pangan semakin kecil.…”

Section: Hasil Dan Pembahasanunclassified

Determinan Ketahanan Pangan Rumahtangga di Kabupaten Tulang Bawang Selama Pandemi Covid-19

Afifah,

Prasetyaningtyas

2023

j.sos.ekon.pertan.

View full text Add to dashboard Cite

Ketahanan pangan merupakan salah satu tujuan yang harus dipertahankan selama pandemi Covid-19. Namun kondisi perekonomian sekarang ini menyebabkan berkurangnya pendapatan masyarakat karena penurunan aktivitas usaha produktif, sehingga meningkatnya angka pengangguran dan kemiskinan. Hal ini cukup mengkhawatirkan pemerintah jika terjadi krisis pangan di masa mendatang. Kabupaten Tulang Bawang merupakan salah satu wilayah yang merasakan dampak dari pandemi Covid-19. Oleh karena itu, penelitian ini bertujuan untuk mengetahui gambaran ketahanan pangan di Kabupaten Tulang Bawang dan variabel-variabel yang mempengaruhinya. Hasil analisis regresi logistik multinomial menemukan bahwa jumlah anggota rumah tangga yang sedikit, pendidikan kepala rumah tangga yang tinggi, serta kondisi kemiskinannya tidak miskin akan meningkatkan peluang rumah tangga tersebut untuk tahan pangan.

show abstract

“…Hasil penelitian ini sejalan dengan temuan [12] bahwa kecenderungan rumah tangga untuk tahan pangan akan naik setiap kali bertambahnya pengeluaran perkapita rumah tangga tersebut. Penelitian [36] menjelaskan bahwa pendapatan perkapita yang diproksi dengan pengeluaran perkapita merupakan peubah ekonomi yang berpengaruh secara signifikan terhadap ketahanan pangan rumah tangga. Hal ini disebabkan dengan adanya peningkatan pendapatan akan meningkatkan daya beli rumah tangga sehingga dapat memenuhi kebutuhan pangannya.…”

Section: Pengeluaran Perkapita Rumah Tanggaunclassified

Pemodelan Tingkat Kerawanan Pangan Rumah Tangga di Indonesia Tahun 2021 dengan Pendekatan Regresi Logistik Ordinal

Aguilera,

Jatmiko

2023

IJAS

View full text Add to dashboard Cite

Until 2021, Indonesia has succeeded in reducing the prevalence rate of the population with moderate or severe food insecurity. But on the other hand, Indonesia's Global Food Security Index (GFSI) score which has declined in the last three years shows that Indonesia's food security is getting weaker in various aspects. The condition of food security that begins to weaken can trigger food insecurity. Food insecurity that can have an impact on health, nutrition and health system problems is a national health problem that needs attention. Therefore, this study aims to examine the level of household food insecurity and the variables that influence it. This study uses The National Socioeconomic Survey (Susenas) March 2021 data which was analyzed using partial proportional odds model (PPOM) ordinal logistics regression method. In general, the results show that variables area of residence, gender, age, education, business field, number of household members, residence ownership status, and per capita expenditure affect the level of household food insecurity in Indonesia in 2021.Keywords: food insecurity; ordinal logistic regression; PPOM

show abstract

Analisis Raskin dan Ketahanan Pangan Rumah Tangga di Indonesia (Analisis Data Susenas 2011)

Cited by 4 publications

References 0 publications

Food Security Analysis of Corn Farming Households In The Buffer Area of Mandalika Special Economic Zone

Food Security Analysis of Corn Farming Households In The Buffer Area of Mandalika Special Economic Zone

Determinan Ketahanan Pangan Rumahtangga di Kabupaten Tulang Bawang Selama Pandemi Covid-19

Pemodelan Tingkat Kerawanan Pangan Rumah Tangga di Indonesia Tahun 2021 dengan Pendekatan Regresi Logistik Ordinal

Contact Info

Product

Resources

About