Shifting students to a growth mindset can increase their achievements. Nevertheless, only a few studies have been conducted on this topic in developing countries. This study aims to examine the relationship between growth mindset, school context, and mathematics achievement in Indonesia. Using a multilevel model on the PISA 2018 data, this study explored the variables that contributed to mathematics achievement. The multilevel analysis showed that students’ gender, growth mindset, index of economic social, and cultural status were statistically significant predictors of students’ mathematics achievement. Girls have been reported to have a higher mathematics achievement than boys in Indonesia. As the students’ growth mindset increases, so do their mathematics achievement.

Peserta Keluarga Berencana (KB) adalah pasangan umur subur yang sedang menggunakan salah satu alat kontrasepsi modern pada tahun pelaksanaan pendataan keluarga. Tujuan penelitian ini adalah untuk mengelompokan kecamatan – kecamatan di Provinsi DI Yogyakarta berdasarkan alat kontrasepsi KB menggunakan algoritma K-Means. Data yang digunakan adalah persentase pengguna alat kontrasepsi di Provinsi DI Yogyakarta tahun 2021 yang diperoleh dari Sistem Informasi Kependudukan dan Keluarga. Variabel penelitian adalah 7 alat kontrasepsi yaitu IUD, MOW, MOP, kondom, implan, suntikan, dan pil. Penentuan jumlah klaster menggunakan Principal Component Analisis diperoleh 2 klaster dengan within cluster sum of squares sebesar 45,6%. Hasil penelitian menyatakan bahwa klaster 1 (30 kecamatan) terdiri atas IUD, MOW, MOP, dan kondom. Klaster 2 (48 kecamatan) terdiri atas implan, suntikan, dan pil. Klaster diberi nama berdasarkan tempat pemasangan alat kontrasepsi, klaster 1 pemasangan pada kelamin, dan klaster 2 pemasangan bukan pada kelamin.

National governments are increasingly exploring how the routine collection of subjective well-being data can be a valuable tool for improving public policy. In particular, health satisfaction is an indicator of subjective well-being which can be helpful in evaluating and improving of health policy. This study aimed to examine patterns and determinants of health satisfaction across provinces, considering how its measurement can help governments to deliver more effective health policy. We used secondary data using Happiness Level Assessment Survey conducted by the Central Statistics Agency of Indonesia involved respondents aged 18 to 98 with response rate in 2014 was 94.2%, while in 2017 was 96.4%. To this end, an analysis was performed on 45,881 responses to the 2014 and 2017 Happiness Level Assessment Survey performed by the Central Agency of Statistics. The results showed that there was a significant difference in health satisfaction in 2017 compared with 2014, with health satisfaction in 2017 is higher than that in 2014. Overall, 12 out of 34 provinces experienced a substantial rise in health satisfaction. Subsequently, multi-level modeling was used to explore the extent to which health satisfaction was associated with different individual-level and provincial-level explanatory variables. Here, the analyses showed that health satisfaction among Indonesians is associated with whether individuals live in urban or rural areas, demographic factors, health-related factors, social capital, and leisure time. Overall, the study helps to illuminate the status of health satisfaction across Indonesia, leading to numerous suggestions for improving health policy.

This study aims to examine the relationship between predictor variables at the student and school levels and the interaction between variables in predicting mathematics achievement in Indonesia. Stratified analysis was implemented in Indonesia’s Programme for International Student Assessment (PISA) 2018 data. The variables of student level encompassed gender, economic, social, and cultural status (ESCS), metacognition, and learning time. This study revealed that the variables of ESCS, metacognition and learning time possessed a significant positive effect on mathematics achievement. The variables of school level are class size, school type, school size, and student-teacher ratio. This study demonstrated that only the data of class size produced a significant effect on mathematics achievement. Furthermore, the interaction between the learning time and class size also significantly affected learning achievement in mathematics. Therefore, variables increasing students’ mathematics achievement are ESCS, metacognition, learning time, class size, and interaction of learning time and class size.

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