Analisis Faktor-Faktor yang Memengaruhi Ketidakcukupan Pangan di Indonesia Pada Tahun 2023 Menggunakan Analisis Komponen Utama dan Analisis Faktor

Rifki Zakaria, Moreno Reyhan, Sri Pingit Wulandari

Abstract

Food insufficiency is a critical issue that can trigger hunger rates in a country, making it an important concern in improving people's welfare. Indonesia still faces a high hunger rate of 16.8%, making it the country with the second highest hunger rate in Southeast Asia. Various factors, such as low rice productivity and rice production, contribute to this problem. This study applies a factor analysis method using Principal Component Analysis (PCA) to identify and reduce the complexity of data related to factors that influence food insufficiency. The results of the analysis show significant variations between provinces, with population growth rates that are evenly distributed, while other variables such as minimum wages, poverty rates, GRDP, rice harvest area, and rice productivity show inequality. Assumption testing indicates a multivariate normal distribution, data adequacy, and correlation between variables. Two factors are formed from the analysis, namely regional economic conditions and socio-demographics which are able to explain 67.560% of the six variables studied. These findings are expected to provide insight and understanding for the community and policy makers in efforts to solve the problem of food insufficiency and reduce hunger in Indonesia.

Keywords

Factor Analysis, Principal Component Analysis, Food Insufficiency, Indonesia.

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References

An Hasibuan, M. J., Rusgiyono, A. & Safitri, D., 2019. Pemodelan Produk Domestik Regional Bruto (PDRB) Di Provinsi Jawa Tengah Menggunakan Bootstrap Agrgregating Multivariate Adaptive Regression Splines (Bagging Mars). Jurnal Gaussian, I(8), Pp. 139-148.

Aprianti, A. & Edriani, T. S., 2023. Analisis Faktor Indeks Harga Konsumen (IHK) Menurut Kelompok Pengeluaran Yang Mempengaruhi Laju Inflasi Provinsi Lampung Tahun 2020. Indonesian Journal Of Applied Mathematics, 2(2), Pp. 51-57.

Asari, A., 2023. Pengantar Statistika. Sumatera Barat: PT MAFY MEDIA LITERASI INDONESIA.

Azizah, S. N., 2022. Pengaruh Penerapan Absensi Fingerprint Terhadap Disiplin Kerja Aparatur Sipil Negara Pada Bagian Pengadaan Barang/Jasa Sekretariat Kota Bandar Lampung. Strategy Of Management And Accounting Through Research And Technology, 2(1), Pp. 67-77.

Badan Pusat Statistik, 2023. Laju Pertumbuhan Penduduk. [Online]

Available At: Https://Semarangkota.Bps.Go.Id/Id/Statistics-Table/2/Mteyizi=/Laju-Pertumbuhan.Html

[Accessed 25 10 2024].

Badan Pusat Statistik, 2024. Persentase Penduduk Miskin. [Online]

Available At: Https://Kepri.Bps.Go.Id/Id/Statistics-Table/2/Mzkjmg==/Persentase-Penduduk-Miskin.Html

[Accessed 25 10 2024].

Dinas Pertanian Kulan Progo, 2022. Produktivitas Padi Di KT Tunas Harapan Banjararum Kalibawang Dengan Sistem Tanam Jajar Legowo. [Online]

Available At: Https://Pertanian.Kulonprogokab.Go.Id/Detil/1182/Produktivitas-Padi-Di-Kt-Tunas-Harapan-Banjararum-Kalibawang-Dengan-Sistem-Tanam-Jajar-Legowo#:~:Text=Produktivitas%20padi%20adalah%20produksi%20padi,Lahan%2C%20yaitu%20kuintal%20per%20hektar.

[Accessed 25 10 2024].

Enzellina, G. & Suhaedi, D., 2022. Penggunaan Metode Principal Component Analysisdalam Menentukan Faktor Dominan. Jurnal Riset Matematika, 2(2), Pp. 101-110.

Gulo, E. J., Manurung, A., Gultom, P. & Darnius, O., 2023. Analisis Statistik Faktor-Faktor Yang Mempengaruhi Rendahnya Minat Masyarakat Dalam Menggunakan Layanan PT Pos Indonesia (PERSERO). Jurnal Matematika Dan Pendidikan Matematika, 6(1), Pp. 41-49.

Mahila, S., 2020. Analisis Mekanisme Penetapan Upah Minimum Provinsi Jambi Tahun 2020. Jurnal Ilmiah Universitas Batanghari Jambi, III(15), Pp. 164-65.

Montgomery, D. C., Peck, E. A. & Vining, G. G., 2012. Introduction To Linear Regression Analysis (5th Ed.). New York: John Wiley & Sons.

Nazaruddin, 2019. Luas Tanam Dan Luas Panen Padi Di Jawa Barat. Jurnal Triton, I(10), Pp. 59-61.

Remsis, Z., 2021. Teoritis Dan Pengertian Anaslisis Faktor. Konsep Teori Dan Penerapan Dasar Analisis Faktor.

Rizal, D. C., M. & Asdi, Y., 2021. Analisis Kepuasan Konsumen Di Restoran Sederhana Padang Dengan Menggunakan Analisis Faktor. Jurnal Matematika UNAND, 10(4), Pp. 449-455.

Rosalina, L., 2023. Buku Ajar Statistika. Eliza, S.E., M.Si. Ed. Padang: CV. MUHARIKA RUMAH ILMIAH.

Rusli, Y. N. & Setywan, Y., 2022. Analisis Faktor-Faktor Kesenjangan Sosial Daerah Istimewa Yogyakarta Menggunakan Metode Principal Component Analysis (Pca) Dan Confirmatory Factor Analysis (CFA). Jurnal Statistika Industri Dan Komputasi, 7(2), Pp. 41-53.

Sekaran, R. B. &. U., 2016. Research Methods For Businnes; A Skill Building Approach. New York: John Wiley & Sons Inc.

Sudipa, I. G. I., 2023. TEKNIK VISUALISASI DATA. Jambi: PT Sonpedia Publishing Indonesia.

Usmadi, 2020. Pengujian Persyaratan Analisis. Inovasi Pendidikan , 7(1), Pp. 50-62.

Widyarsana, I. P. & Suhardiyani, P. E., 2023. Analisis Identifikasi Variabel Kompetensi Manajer Proyek Pada Pelaksanaan Konstruksi Di Kabupaten Badung. Journal Of Comprehensive Science, 2(12).

DOI: https://doi.org/10.5281/zenodo.14183858

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