In Indonesia, the prevalence of adolescence smokers is high. The situation might be worse during the epidemiological transition. This study aimed to estimate the sociodemographic factors related to tobacco use (light, moderate, and heavy) among adolescent in school age in Indonesia. This cross-sectional study used the raw data from the secondary data of Indonesia Global Youth of Tobacco Survey (GYTS), 2019. This study only included the 9,992 adolescent smokers in school age as the sample. School was selected based on the proportional probability based on the number of students. The class was selected by random sampling method and the students in that class were eligible to join the survey. This current study only selected those who smoked at the time of survey. The univariate, bivariate (Chi-square and t-test), and multivariate (ordinal logistic regression) has been tested in this study. The prevalence of tobacco uses among adolescent in Indonesia in 2019 was 19.2%. The determinants of tobacco use mostly related to pocket money, having products with cigarettes logo, and can purchase near the school. The role of sociodemographic, factors related to current tobacco use is very important to arrange the policy. The policy is very important to prevent and control tobacco use, especially among adolescence.

AbstrakPeserta Jaminan Kesehatan Masyarakat (Jamkesmas) hingga tahun 2010mencapai 76,4 juta jiwa mencakup masyarakat miskin dan tidak mampu,sedangkan peserta Jaminan Kesehatan Daerah (Jamkesda) mencapai 31,6 juta jiwa. Secara prinsip, program Jamkesda dibentuk untuk memfasilitasi masyarakat miskin dan kurang mampu di luar kuota Jamkesmas yang dibiayai oleh pemerintah daerah. Penelitian ini bertujuan untuk meninjau ketepatan sasaran peserta program Jamkesmas berdasarkan kriteria miskin Pendataan Program Perlindungan Sosial (PPLS). Sumber data yang digunakan adalah data Survei Sosial Ekonomi Nasional (Susenas) tahun 2012. Populasi dari penelitian ini adalah seluruh rumah tangga di Indonesia tahun 2012. Sampel penelitian adalah rumah tangga terpilih dari masing-masing blok sensus. Analisis yang dilakukan adalah analisis univariat, bivariat hingga multivariat dengan regresi logistik. Masih terdapat 12,4% penduduk yang mendapatkan Jamkesmas, tetapi tidak miskin atau hampir miskin. Selain itu, masih terdapat 56,4% penduduk yang hampir miskin dan 41,1% penduduk miskin yang belum terjangkau pesertaan Jamkesmas. Layanan gratis merupakan faktor yang paling menentukan apakah penduduk dapat menjadi peserta Jamkesmas atau tidak. Mereka yang memiliki layanan kesehatan gratis berpeluang 5,462 kali mendapatkan layanan Jamkesmas dibandingkan mereka yang tidak memiliki layanan gratis. Perbaikan basis data, pengawasan, evaluasi serta sistem alokasi yang baik sangat diperlukan untuk mengurangi ketidaktepatan sasaran. Penyesuaian data antara Kementerian Kesehatan dan dinas kesehatan daerah berguna dalam penanganan peserta yang belum terdata.AbstractParticipants of Public Health Insurance (Jamkesmas) up to 2010 reached76.4 million including poor and disadvantaged people, meanwhile participants of Regional Health Insurance (Jamkesda) reached 31.6 million people. In principle, Jamkesda program is made to facilitate the poor and disadvantaged people outside Jamkesmas quota funded by local government. This study aimed to review the accuracy of Jamkesmas participant target according to the poor criteria of Data Collection for Social Protection Program. Data source used is national socio-economic survey (Susenas) 2012. Population of this study was all households in Indonesia within 2012. Sample of this study was households selected from each block sensus. Analysis conducted was univariate, bivariate, and multivariate with logictic regression. There were 12.4% people receiving Jamkesmas, but they were not poor or almost poor. Moreover, there were 56.4% the almost poor and 41.1% the poor not yet having access to Jamkesmas. Free service is the most determining factor whether people can be Jamkesmas participants. The people who having free health services had an opportunity 5.462 times to get Jamkesmas service compared to the people who did not. Database improvement, surveillance, evaluation as well as good allocation system are needed to reduce the inaccuracy of target. Adjustment of data between Health Ministry and local health agency is useful in handling uncovered participants.