Open Access
Issue
SHS Web Conf.
Volume 212, 2025
1st International Conference on Advanced Research in Sustainable Economic and Social Science (ICARSESS-24)
Article Number 04016
Number of page(s) 10
Section Social Science for Sustainable Development
DOI https://doi.org/10.1051/shsconf/202521204016
Published online 05 March 2025
  1. Y. Sasmito and E. Sulistyaningrum, “Evaluasi Dampak Program Keluarga Harapan (PKH) Terhadap Pengeluaran Rumah Tangga untuk Pendidikan di Pulau Jawa,” J. Ekon. Kuantitatif Terap., vol. 14, no. 1, pp. 75–95, 2021. [CrossRef] [Google Scholar]
  2. A. Suryahadi, S. Sumarto, and L. Pritchett, Quantifying Vulnerability to Poverty: A Proposed Measure, Applied to Indonesia, no. 2437. 2000. [Google Scholar]
  3. T. T. Vo, “Household vulnerability as expected poverty in Vietnam,” World Dev. Perspect., vol. 10–12, no. February 2016, pp. 1–14, 2018, doi: 10.1016/j.wdp.2018.04.002. [Google Scholar]
  4. A. Bah, S. Nazara, and E. Satriawan, “Basis data terpadu di Indonesia untuk program perlindungan sosial,” Int. Policy Cent. Incl. Growth, vol. 49, no. Ppls 2011, pp. 1–6, 2015. [Google Scholar]
  5. S. Sumarto, A. Suryahadi, and W. Widyanti Assessing the Impact of Indonesian Social Safety Net Programs on Household Welfare and. Smeru, 2004. [Google Scholar]
  6. H. S. H. Prayitno, D. B. Santoso, and M. Ekawaty, “The Impact of Social Safety Net Programs on Poor Household Income,” Jejak, vol. 11, no. 2, pp. 244–262, 2018, doi: 10.15294/jejak.v11i2.16049. [CrossRef] [Google Scholar]
  7. H. S. H. Prayitno, D. B. Santoso, and M. Ekawaty, “The Impact of Social Safety Net Programs on Poor Household Income,” Jejak J. Ekon. dan Kebijak., vol. 11, no. 2, pp. 244–262, 2018, doi: 10.1111/deve.12119. [Google Scholar]
  8. C. Andrews, A. Hsiao, and L. Ralston, “Reduction, Increase Resilience, and Expand Opportunities,” 2018, doi: 10.1596/978-1-4648-1164-7_ch2. [Google Scholar]
  9. Habriyanto, Saijun, and D. Annisa, “Analisis Dampak Pola Konsumsi Masyarakat Miskin Setelah Kenaikan Harga Beras Di Kelurahan Tempino Kecamatan Mestong Kabupaten Muaro Jambi,” vol. 1, no. 4, pp. 323–332, 2023. [Google Scholar]
  10. D. Valeriani, M. F. Akbar, R. Rusdi, and M. Mardani, “Consumption patterns of social assistance (Bansos) recipients in the Bangka Belitung Islands Province,” J. Perspekt. Pembiayaan dan Pembang. Drh., vol. 10, no. 3, pp. 165–174, 2022, doi: 10.22437/ppd.v10i3.18385. [Google Scholar]
  11. B. P. Statistik, “BRSbrsInd-20230215152006_rev,” no. 07, pp. 1–12, 2023. [Google Scholar]
  12. BPS Provinsi DIY, “Profil Kemiskinan D.I. Yogyakarta September 2022,” 2023. [Google Scholar]
  13. S. Ndlovu, M. Mpofu, P. Moyo, K. Phiri, and T. Dube, “Urban household food insecurity and cash transfers in Bulawayo townships, Zimbabwe,” Cogent Soc. Sci., vol. 7, no. 1, 2021, doi: 10.1080/23311886.2021.1995995. [Google Scholar]
  14. W. Sumarto, S., Suryahadi, A., Widyanti, “Assessing the Impact of Indonesian Social Safety Net Programs on Household Welfare and,” 2004. [Google Scholar]
  15. K. A. Riyanto, C. F. Ananda, E. Pembangunan, F. Ekonomi, and U. Brawijaya, “ANALISIS DAMPAK KEBIJAKAN PROGRAM KELUARGA HARAPAN TERHADAP KONSUMSI,” vol. 1, no. 4, pp. 650–667, 2022. [Google Scholar]
  16. L. Muliana, M. Mursyidin, and M. Siregar, “Dampak Program Keluarga Harapan (PKH) terhadap Kesejahteraan Keluarga di Desa Padang Seurahet Kecamatan Johan Pahlawan Kabupaten Aceh Barat,” J. Public Policy, vol. 7, no. 2, p. 92, 2021, doi: 10.35308/jpp.v7i2.3417. [CrossRef] [Google Scholar]
  17. R. Dewi and H. F. Andrianus, “Analisis pengaruh kebijakan bantuan langsung tunai (BLT) terhadap kemiskinan di indonesia periode 2005-2015,” MENARA Ilmu , vol. 15, no. 2, pp. 77–84, 2021. [Google Scholar]
  18. M. R. Ridha and R. Rumayya, “Analisis Dampak Program Bantuan Pangan Non-Tunai Terhadap Pengeluaran Konsumsi Rumah Tangga Pertanian di Maluku,” J. Ekon. dan Pembang. Indones., vol. 24, no. 1, pp. 17–30, 2024, doi: 10.21002/jepi.2024.02. [CrossRef] [Google Scholar]
  19. Y. Munandar, “Income Inequality and Noncash Food Assistance Program in Central Java Province,” Eko-Regional J. Pengemb. Ekon. Wil., vol. 16, no. 2, pp. 84–93, 2021, doi: 10.20884/1.erjpe.2021.16.2.1805. [Google Scholar]
  20. Y. Munandar, “Increase in the Number of Active Smokers during the COVID-19 Pandemic in Indonesia,” IOP Conf. Ser. Earth Environ. Sci., vol. 950, no. 1, pp. 1–6, 2022, doi: 10.1088/1755-1315/950/1/012062. [CrossRef] [Google Scholar]
  21. H. Gultom, P. Kindangen, and G. M. V. Kawung, “Analisis Pengaruh Program Bantuan Pangan Non Tunai (BPNT) DAN Program Keluarga Harapan (PKH) Terhadap Kemiskinan di Kabupaten Minahasa Tenggara,” J. Pembang. Ekon. dan Keuang. Drh., vol. 21, no. 1, pp. 39–53, 2020. [Google Scholar]
  22. R. Z. Arfandi et al., “DAMPAK PROGRAM BANTUAN SOSIAL TERHADAP Program Utama Bansos di Indonesia,” vol. 30, no. 1, pp. 1–15, 2022. [Google Scholar]
  23. T. K. Kim, “T test as a parametric statistic,” Korean J. Anesthesiol., vol. 68, no. 6, pp. 540–546, 2015. [CrossRef] [Google Scholar]
  24. Muharir, “Pengaruh Bantuan Program Keluarga Harapan (PKH) dan Bantuan Pangan Non-Tunai (BPNT) terhadap Tingkat Kesejahteraan Mayarakat (Studi pada Kelompok Penerima Manfaat (KPM) di Desa Tirta Makmur Kecamatan Air Kumbang),” Ekon. Sharia, vol. 8, no. 1, pp. 145–174, 2022. [Google Scholar]
  25. D. Nuryadin, Sultan, R. Umaroh, S. H. Darpito, G. A. Rahmanda, and I. B. P. Cesario, “Examining the Efficacy of Conditional Cash Transfer Programs in Reducing Poverty in Yogyakarta, Indonesia,” J. Econ. Dev., vol. 48, no. 4, pp. 141–153, 2023, doi: 10.35866/caujed.2023.48.4.007. [Google Scholar]
  26. M. Muharir and R. Hariani, “Pengaruh Bantuan Program Keluarga Harapan (Pkh) Dan Blt Desa Terhadap Tingkat Kesejahteraan Masayarakat (Studi Pada Kelompok Penerima Manfaat (Kpm) Di Desa Tirta Makmur Kecamatan Air Kumbang,” Integritas J. Manaj. Prof., vol. 2, no. 1, pp. 137–154, 2021, doi: 10.35908/ijmpro.v2i1.85. [Google Scholar]
  27. E. H. Pangaribowo, “Food Demand Analysis of Indonesian Households: Do They Eat Better or Smoke When They Get Richer?,” in International Conference on Eurasian Economies 2010, 2010, pp. 116–451. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.