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Manik, Rizky Wahyuda
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Determinan Rumah Tangga Tidak Cukup Pangan Periode 2015 – 2022 Arrohmah, Laila; Putri, Afidita Nabila; Setya P, I Gede Nyoman; Lestari, Zahra Ayu; Manik, Rizky Wahyuda; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1718

Abstract

Sustainable Development Goals (SDGs) to zero hunger in Indonesia can be seen from several indicators. One indicator that can assess the success of SDGs for zero hunger is the percentage of households with insufficient food status. Almost all provinces have not been able to achieve the target of the minimum proportion of households with insufficient food status each year. This study aims to identify the factors that influence the percentage of households with insufficient food status. The data used is panel data with observations from 34 provinces in Indonesia for the 2015 - 2022 period. This research uses panel data regression analysis method with the best model is Fixed Effect Model (FEM). The results of this study show that food inflation average, growth in per capita, production of dry milled unhusked rice, and the percentage of poor people affect the percentage of households with insufficient food status in Indonesia in 2015 - 2022.
Pendugaan Area Kecil Persentase Anak Usia 0-17 Tahun yang Hidup di Bawah Garis Kemiskinan Tingkat Kabupaten/Kota di Pulau Jawa Tahun 2023 Puspitasari, Dwi Ajeng; Herlan, Mumtahanah Ceisa; Fatah, Saifullah; Sedana Nugraha, I Gusti Ngurah Yogi; Manik, Rizky Wahyuda; Istiana, Nofita; Yuniasih, Aisyah Fitri
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.1967

Abstract

Poverty is a problem that continues to confront various countries in the world, with no exception in Indonesia. Poverty reduction is the main focus of the Sustainable Development Goals (SDGs) and the 2020-2024 National Medium-Term Development Plan (RPJMN), with the main focus not only on the poverty of the national population but also the children who live in it. It is known that 47.39 percent, or almost half, of poor children in Indonesia are dominated by Java Island. Therefore, to be able to realize this target, it is necessary to have data availability in small areas, especially areas with a high percentage of poor children on Java Island. This study aims to estimate the percentage of children aged 0-17 years living below the poverty line at the city district level using the Small Area Estimation Hierarchical Bayes (SAE HB) method. Based on the results, estimation using the SAE HB method is able to produce a better Relative Standard Error (RSE) than direct estimation results.
Co-Authors Aisyah Fitri Yuniasih Arrohmah, Laila Budiasih Budiasih Fatah, Saifullah Herlan, Mumtahanah Ceisa Istiana, Nofita Lestari, Zahra Ayu Puspitasari, Dwi Ajeng Putri, Afidita Nabila Sedana Nugraha, I Gusti Ngurah Yogi Setya P, I Gede Nyoman