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All Journal JURNAL PANGAN Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan
Oktalia, Hening Januar
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Environmental Science Social Sciences

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Determinan Ketahanan Pangan Rumah Tangga di Indonesia:Suatu Pendekatan Multilevel (Determinants of Household Food Security in Indonesia:A Multilevel Approach) Oktalia, Hening Januar; Mulyani, Wiwik Puji; Pitoyo, Agus Joko
JURNAL PANGAN Vol. 34 No. 2 (2025): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v34i2.879

Abstract

Sejak 2015, masalah kelaparan dan kerawanan pangan menunjukkan tren peningkatan yangmengkhawatirkan di seluruh dunia, diperburuk oleh pandemi, konflik, perubahan iklim, serta meningkatnya ketidaksetaraan. Badan Pusat Statistik (BPS) mencatat adanya kesenjangan yang makin lebar antara pertumbuhan penduduk dan produksi padi nasional, yang dikhawatirkan dapat memperburuk ketahanan pangan baik di tingkat nasional maupun rumah tangga. Penelitian ini bertujuan untuk mengkaji faktor-faktor yang memengaruhi status ketahanan pangan rumah tangga di Indonesia. Data sekunder yang digunakan berasal dari Survei Sosial Ekonomi Nasional (Susenas) Maret 2023, Potensi Desa (Podes) 2021, dan Kerangka Sampel Area (KSA) 2023. Analisis dilakukan dengan metode deskriptif melalui tabulasi dan grafik, serta analisis inferensial menggunakan regresi logistik biner multilevel. Hasil penelitian menunjukkan bahwa mayoritas rumah tangga di Indonesia berada pada kondisi tidak tahan pangan. Selain itu, analisis inferensial menemukan bahwa seluruh variabel bebas, kecuali infrastruktur ekonomi lokal, berpengaruh signifikan terhadap status ketahanan pangan rumah tangga di Indonesia.   Since 2015, hunger and food insecurity have shown a worrying upward trend worldwide, worsened by the pandemic, armed conflicts, climate change, and widening inequality. Statistics Indonesia (BPS) reported a growing gap between population growth and national rice production, raising concerns over the sustainability of both national and household food security. This study aimed to examine the determinants of household food security status in Indonesia. Secondary data were drawn from Susenas March 2023, Podes 2021, and KSA 2023. The analysis combined descriptive methods through tabulations and graphs with inferential methods using multilevel binary logistic regression. The findings indicated that the majority of households in Indonesia are food insecure. Furthermore, the inferential analysis revealed that all independent variables, except local economic infrastructure, significantly affected household food security status in Indonesia.
Determinan Sosio-Demografi Pendapatan Penduduk Bekerja Di Kawasan Pinggiran Kota Oktalia, Hening Januar; Giyarsih, Sri Rum; Budiani, Sri Rahayu; Marwasta, Djaka
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 2 (2024): Vol. 8 No. 2, November 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i2.473

Abstract

Abstract. Provinsi Daerah Istimewa Yogyakarta has a high quality of human resources. The relatively good quality of human resources, especially in Kabupaten Sleman, should be accompanied by a relatively high level of labor income. The quality of human development in this province ranks top nationally, but the wages/income of the working population in this province are still relatively low. This study uses primary data obtained by interviewing all residents in one of the areas in Tambak Bayan, Catur Tunggal, Depok, Sleman. This area is classified as a fairly elite area, but the working population in this area does not all have incomes that are included in the high category. The working population in this area is still dominated by residents with low and medium income levels. The purpose of this study is to determine the description of the socio-demographic characteristics and income of the working population in the area and to identify the influence of socio-demographic variables on workers' income. The analysis method used was descriptive analysis with cross tabulation and chi-square test. The findings of this study include the relationship between the variables of education, training and working hours to workers' income. Keyword: sociodemographic, wage, working population  
Co-Authors Agus Joko Pitoyo Djaka Marwasta Mulyani, Wiwik Puji Sri Rahayu Budiani Sri Rum Giyarsih