Assessing the Effectiveness of Social Assistance Programs to Alleviating Poverty in Indonesia
Abstract
Poverty in Indonesia is a fundamental problem that needs special attention. The government is trying to alleviate poverty by introducting various programs to people who are below the poverty line. One of these programs is the Social Assistance Program. This research aims to determine the extent of the impact of social assistance programs on poverty reduction in Indonesia. The method used is a quantitative method with analytical tools, namely R, to carry out regression analysis on the data. The data used include (1) data on poverty levels in Indonesia, (2) demographic data on the Indonesian population, (3) data on social assistance programs organized by the government or other institutions, (4) data on household or individual income, and (5) data related to the socio-economic conditions of social assistance recipients. The research results show that social assistance programs influence poverty reduction. Influence can be increased by (1) providing clear regulations and rules in implementing aid, (2) cross-checking target recipients of aid, and (3) carrying out regular monitoring and evaluation of aid program implementation.
Keywords: policy evaluation, social assistance program, poverty, Indonesia
References
[1] BPS. Tingkat Pengangguran Terbuka Menurut Provinsi. BPS Indonesia; 2022.
[2] Greene W. Econometrics Analysis. 4th ed. Prentice Hall.inc; 2002. pp. 289–302.
[3] Gujarati D. Basic Ekonometrics. New York: Mc Gwra Hill,Inc; 2004. pp. 640–5.
[4] Hidayat MJ, Hadi AF, Anggraeni D. Analisis Regresi Data Panel Terhadap Indeks Pembangunan Manusia (Ipm) Jawa Timur Tahun 2006-2015. Majalah Ilmiah Matematika dan Statistika. 2018;18(2):69-80.
[5] Astuti WI, Ratnasari V, Wibowo W. Analisis Faktor Yang Berpengaruh Terhadap Tingkat Pengangguran Terbuka Di Provinsi Jawa Timur Menggunakan Regresi Data Panel. Jurnal Sains dan Seni ITS. 2017;6(1):144- 149.https://doi.org/10.12962/j23373520.v6i1.22977.
[6] Tervia S, Rositawati AF, Fitri HZ. Pemodelan Faktor-Faktor Yang Berpengaruh Terhadap Tpt Provinsi Tertinggi Di Indonesia Sebagai Dampak Dari Covid-19. Jurnal Aplikasi Statistika & Komputasi Statistik. 2022;14(2):17–30.
[7] Yulianto S, Kurniawan DA. (2021). Regresi Panel Tingkat Pengangguran Terbuka Kabupaten/Kota Provinsi
[8] Ningtyas MS. Pemodelan Faktor-Faktor yang Berpengaruh terhadap Indeks Pembangunan Manusia (IPM) Kabupaten/Kota di Jawa Timur Menggunakan Regresi Panel. Surabaya: Jurusan Statistika FMIPA Institut Teknologi Sepuluh Nopember; 2015.
[9] Rachmah NF. Pemodelan Jumlah Kematian Ibu dan Jumlah Kematian Bayi di Provinsi Jawa Timur Menggunakan Bivariate Poisson Regression. Surabaya: Jurusan Statistika FMIPA Institut Teknologi Sepuluh Nopember; 2014.
[10] Rahel Ignatia, (2018). Analisis Dampak Bantuan Program Penanggulangan Kemiskinan Terhadap Tingkat Pendapatan Masyarakat Miskin Di Kecamatan Tanjung Beringin Kabupaten Serdang Bedagai”. Universitas Sumatra Utara, Medan. Rimawan, M &
[11] Aryani F. 2019. Pengaruh Alokasi dana Desa terhadap Pertumbuhan Ekonomi, Indeks Pembangunan Mnausia serta Kemiskinan di Kabupaten Bima. Jurnal Ilmiah Akuntnasi dan Humanika, Vol. 9 No. 3 September-Desember 2019, hlm. 287-295.
[12] Romi S, Umiyati E. 2017. Pengaruh pertumbuhan ekonomi dan upah minimum terhadap kemiskinan di Kota Jambi. E-jurnal Perspektif Ekonomi dan Pembangunan Daerah Vol. 7 No. 1, Januari-April 2018, hlm. 1-7.
[13] Gultom DT, Hasanuddin T, Prayitno RT, Endaryanto T. 2010. BASIC CAUSES OF HORTICULTURAL FARMER POVERTY (CABBAGE AND CHILLI) IN GISTING DISTRICT OF TANGGAMUS REGENCY.
[14] Jacobus, et al. 2018.ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN RUMAH TANGGA DI SULAWESI UTARA.Jurnal Pembanguan Ekonomi dan Keuangan Daerah.vol 19 No.3