International Journal of Sciences: Basic and Applied Research (IJSBAR) ISSN 2307-4531 (Print & Online) http://gssrr.org/index.php?journal=JournalOfBasicAndApplied --------------------------------------------------------------------------------------------------------------------------- 237 Inequality in Indonesia's Electricity Access Khalid Zuhri a* , Lukytawati Anggraeni b , Tony Irawan c a BPS-Statistic of Central Kalimantan Province, Palangka Raya, Indonesia b,c Department of Economics, IPB University, Bogor, Indonesia a Email: khalid@bps.go.id Abstract This study aims to look at the inequality of electricity access experienced by households in Indonesia by measuring the distribution of household energy consumption and electrification determinants based on regional and household characteristics with the probit model. The data used Susenas 2018 data, with a total sample of 282 772 households. The Gini coefficient value of electricity consumption shows that in urban Indonesia the inequality of consumption between households is relatively more unequal than in rural areas. PLN's electricity access in Indonesia from the household side is strongly influenced by the level of education and gender of the head of the household. Territorial status and homeownership status are obstacles to PLN's electricity access. Access to electricity in rural areas is still relatively low due to Indonesia's geographical factors which are very difficult and require large costs for electricity infrastructure in the region. The role of the private sector needs to be increased through the public-private partnership (PPP) program in the development of electricity infrastructure and CSR programs related to the provision of electricity access to PLN for people who do not have access to electricity, especially in rural areas. Keywords: electrification; electricity consumption; Lorenz; probit. 1. Introduction Indonesia in 2014 had a Multi-Dimensional Poverty Index (MPI) of 29.7 percent, while monetary poverty released by the Central Statistics Agency was 11.3 percent. The distribution of MPIs in 2014 shows the eastern region has a relatively higher value of MPIs compared to the western regions of Indonesia. ------------------------------------------------------------------------ * Corresponding author.