Pemodelan Prevalensi Ketidakcukupan Konsumsi Pangan Di Indonesia Menggunakan Regresi Data Panel

Nabila, Siti Nabila (2025) Pemodelan Prevalensi Ketidakcukupan Konsumsi Pangan Di Indonesia Menggunakan Regresi Data Panel. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Ketidakcukupan konsumsi pangan masih menjadi tantangan dalam mewujudkan ketahanan pangan yang merata di Indonesia. Meskipun secara nasional ketersediaan pangan tergolong mencukupi, masih banyak kelompok masyarakat yang belum mampu memenuhi kebutuhan energi minimum hariannya. Prevalensi Ketidakcukupan Konsumsi Pangan (PKKP) digunakan sebagai indikator untuk mengukur proporsi penduduk yang tidak memperoleh asupan energi sesuai standar minimum. Dalam kurun waktu 2022-2024, angka PKKP di Indonesia menunjukkan pola penurunan yang belum mencapai target nasional. Beberapa provinsi di kawasan timur, seperti Papua, Nusa Tenggara Timur, dan Maluku, tercatat memiliki angka PKKP tertinggi secara konsisten. Hal ini mencerminkan bahwa masalah ketahanan pangan tidak hanya disebabkan oleh faktor ketersediaan, tetapi juga oleh faktor sosial ekonomi dan geografis yang kompleks. Variabel seperti tingkat kemiskinan, pengeluaran makanan, produksi pangan, pertumbuhan ekonomi, tingkat pengangguran, upah minimum, dan ketimpangan pendapatan diperkirakan memengaruhi tingkat ketidakcukupan konsumsi pangan di tiap wilayah. Penelitian ini bertujuan untuk menganalisis pengaruh faktor-faktor sosial ekonomi terhadap PKKP di Indonesia menggunakan regresi data panel selama periode 2022- 2024. Hasil penelitian menunjukkan bahwa angka PKKP tertinggi di Indonesia berada di Provinsi Papua dan Maluku. Berdasarkan pemodelan menggunakan regresi data panel didapatkan bahwa random effect model merupakan model terbaik dengan faktor-faktor yang mempengaruhi prevalensi ketidakcukupan konsumsi pangan di Indonesia yaitu, pengeluaran perkapita untuk makanan, persentase penduduk miskin, dan garis kemiskinan makan dengan kebaikan model sebesar 48,90% dan 51,10% sisanya dijelaskan oleh variabel lain diluar model.
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Insufficient food consumption remains a challenge in achieving equitable food security in Indonesia. Although nationally, food availability is considered sufficient, many groups remain unable to meet their minimum daily energy needs. The Prevalence of Insufficient Food Consumption (PKKP) is used as an indicator to measure the proportion of the population that does not obtain energy intake according to minimum standards. From 2022 to 2024, the PKКР rate in Indonesia showed a downward trend that has not yet reached the national target. Several provinces in the eastern region, such as Papua, East Nusa Tenggara, and Maluku, consistently recorded the highest PKKP rates. This reflects that food security issues are not only caused by availability factors, but also by complex socioeconomic and geographic factors. Variables such as poverty levels, food expenditure, food production, economic growth, unemployment rates, minimum wages, and income inequality are estimated to influence the level of food insufficiency in each region. This study aims to analyze the influence of socioeconomic factors on PKKP in Indonesia using panel data regression for the period 2022 to 2024. The results of the study indicate that the highest PKKP rates in Indonesia are in the provinces of Papua and Maluku. Based on modeling using panel data regression, it was found that the random effect model is the best model with factors influencing the prevalence of food insufficiency in Indonesia, namely, per capita expenditure on food, the percentage of the poor population, and the food poverty line with a model goodness of fit of 48.90% and the other 51.10% is explained by other variables outside the model.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Prevalence of Undernourishment, Panel Data Regression,Prevalensi Ketidakcukupan Konsumsi Pangan, Regresi Data Panel.
Subjects:	H Social Sciences > HB Economic Theory
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Siti Nabila
Date Deposited:	23 Jan 2026 01:35
Last Modified:	23 Jan 2026 01:35
URI:	http://repository.its.ac.id/id/eprint/130149

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