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

Tasya Aguilera, Yogo Aryo Jatmiko

Abstract

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

Full Text:

PDF

References

Pemerintah Indonesia: Undang-Undang No 18 Tahun 2012 Tentang Pangan: Sekretariat Negara: Jakarta: https://peraturan.bpk.go.id/Home/Details/39100. 2012.

BKP, Indeks Ketahanan Pangan 2020. In Badan Ketahanan Pangan, 2020.

Murthy, V. H, “Food insecurity: A public health issue”. Public Health Reports, vol. 131, no.5, pp. 655–657, 2016.

Gundersen, C., and Seligman, H. K, “Food insecurity and health outcomes”, Economists’ Voice, vol. 14, no. 1, 2017

WFP, Food Security Assessment Handbook (EFSA) - Second Edition Emergency, 2009.

Parekh, L: The basics of food security (and how it’s tied to everything): https://www.worldvision.ca/stories/food/the-basics-of-food-security. 2021.

Rahmawati, E, “Aspek Distribusi pada Ketahanan Pangan Masyarakat di Kabupaten Tapin”, AGRIDES: Jurnal Agribisnis Perdesaan, vol. 2, no. 3, pp. 241–251, 2012.

FAO: An Introduction to the Basic Concepts of Food Security: www.foodsec.org/docs/concepts_guide.pdf. 2008.

Campbell, C. C, “Food Insecurity : A Nutritional Outcome or a Predictor Variable”, Journal of Nutrition, vol. 121, pp. 408–415., 1991.

Owusu, V., Abdulai, A., and Abdul-Rahman, S, “Non-farm work and food security among farm households in Northern Ghana”, Food Policy, vol. 36, no. 2, pp. 108– 118, 2011.

Babatunde, R. O., Omotesho, O. A., and Sholotan, O. S, “Factors Influencing Food Security Status of Rural Farming Households in North Central Nigeria”, Agricultural Journal, vol. 2, no. 3, pp. 351–357, 2007.

Heryanah, H, “Ketahanan Pangan Rumah Tangga Di Jawa Barat: Analisis Data Susenas 2012”, Populasi, vol. 24, no. 2, pp. 80, 2016.

Sinclair, K., Ahmadigheidari, D., Dallmann, D., Miller, M., and Melgar-Quiñonez, H, “Rural women: Most likely to experience food insecurity and poor health in low- and middle-income countries”, Global Food Security, vol. 23, pp. 104–115, 2019.

Magfiroh, I, “Analisis tingkat ketahanan pangan rumah tangga di Provinsi Jawa Timur (Analisis Data Susenas 2015)”, Politeknik Statistika STIS, 2016.

Gebre, G. G, “Determinants of Food Insecurity among Households in Addis Ababa City, Ethiopia”, Interdisciplinary Description of Complex Systems, vol. 10, no. 2, pp. 159–173, 2012.

Ballard, T. J., Kepple, A. W., and Cafiero, C, “The food insecurity experience scale: Developing a global standard for monitoring hunger worldwide”, Technical Paper, pp. 1–58, 2013.

Agresti, A, An Introduction to Categorical Data Analysis (3rd ed.), John Wiley & Sons, Inc., 2019

Agresti, A, Analysis of Ordinal Categorical Data (2nd ed.), John Wiley & Sons, Inc., 2010.

Williams, R, “Generalized ordered logit / partial proportional odds models for ordinal dependent variables”, The Stata Journal, pp. 58–82, 2006.

Ananth, C. V, and Kleinbaum, D. G, “Regression Models for Ordinal Responses : A Review of Methods and Applications”, vol. 26, no. 6, pp. 1323–1333, 1997.

Peterson, B., and Harrell, F. E, “Partial Proportional Odds Models for Ordinal Response Variables”, Journal of the Royal Statistical Society Series C (Applied Statistics), vol. 39, no. 2, pp. 205–217, 1990.

M, M. P, “Kemiskinan dan risiko Covid-19 pada kabupaten/kota di Indonesia tahun 2020: pendekatan regresi logistik ordinal”. Politeknik Statistika STIS, 2021.

Abreu, M. N. S., Siqueira, A. L., Cardoso, C. S., and Caiaffa, W. T, “Ordinal logistic regression models : Application in quality of life studies”, Cad. Saúde Pública, 2008.

Azen, R., & Walker, C. M, Categorical Data Analysis for the Behavioral and Social Sciences. Taylor and Francis Group, LLC., 2011.

Hosmer, D. W., Lemeshow, S., and Sturdivant, R. X, Applied Logistic Regression (3rd ed.), John Wiley & Sons, Inc., 2013.

Giacoman, C., Herrera, M. S., and Ayala Arancibia, P, “Household food insecurity before and during the COVID-19 pandemic in Chile”, Public Health, vol. 198, pp. 332–339, 2021.

Mukhtar, M. T, Determinan ketahanan pangan rumah tangga di Kawasan Timur Indonesia tahun 2020, Politeknik Statistika STIS, 2021.

Maxwell, D., Levin, C., Armar-Klemesu, M., Ruel, M., Morris, S., and Ahiadeke, C., “Urban livelihoods and food and nutrition security in Greater Accra, Ghana”, Research Report of the International Food Policy Research Institute, 2000.

Andress, L., and Fitch, C, “Juggling the five dimensions of food access: Perceptions of rural low income residents”, Appetite, vol. 105, pp. 151–155, 2016.

Grimaccia, E., and Naccarato, A, “Food Insecurity Individual Experience: A Comparison of Economic and Social Characteristics of the Most Vulnerable Groups in the World”, Social Indicators Research, vol. 143, no. 1, pp. 391–410, 2019.

Mallick, D., and Rafi, M, “Are Female-Headed Households More Food Insecure? Evidence from Bangladesh”, World Development, vol. 38, no. 4, pp. 593–605, 2010.

Fuwa, N, “The poverty and heterogeneity among female-headed households revisited: The case of Panama”, World Development, vol. 28, no. 8, pp. 1515–1542, 2000.

Demeke, A. B., and Zeller, M, “Using panel data to estimate the effect of rainfall shocks on smallholders food security and vulnerability in rural Ethiopia”, Development, vol. 2, 2009.

Wiranthi, P. E, “Determinants of Household Food Security: a Comparative Analysis of Eastern and Western Indonesia”, Institut Pertanian Bogor, 2014.

Bogale, A., and Shimelis, A, “Household Level Determinants of Food Insecurity in Rural Areas of Dire Dawa, Eastern Ethiopia”, African Journal of Food Agriculture Nutrition and Development, vol. 9, 2009.

DOI: https://doi.org/10.13057/ijas.v5i2.65141

Refbacks

  • There are currently no refbacks.