The purpose of this research is to determine the effect of Gross Regional Domestic Bruto and District Against Minimum Wage In Samarinda City. In this research used Cobb Douglas analysis, but it is also aided by a computerized system that uses SPSS. After doing research with reference to the secondary data, it is concluded there are two variables that affect the the recruitment of the workersthat is Gross Regional Domestic Bruto and District Against Minimum Wage.

Economics and the environment are issues that never end for debate. As long as the two are not sustainable, they will continue to be highlighted in macroeconomic principles. In addition, economic growth (GDP) is not the only principal topic that is the focus of attention from academics, practitioners, and the government. The objectivity of this research is to dissect the relationship between coal consumptions, electricity consumptions, and oil consumptions on MSMEs and contributors of exports of goods and services in Indonesia. Path analysis supports the test instrument. We implement secondary data to cover seven periods (2014-2020). Regarding the research flow, there are three problem formulation packages that must be investigated, including two direct paths and mediation pathways. The identification results report several important inventions. Coal consumptions and oil consumptions have triggered a positive increase in MSMEs and contributors to exports of goods and services. From another scope, electricity consumption as empirical evidence that affects the contribution of exports of goods and services through MSMEs. The findings of this study provide valuable insights into the sustainability of the MSME industry, creating added value for Indonesian exports, without ignoring regulations related to fuel and energy.

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Indonesia is a developing country that has always prioritized sustainable development. In achieving these development goals, Indonesia needs to achieve economic growth by improving population welfare and increasing income. With the form of panel data from 34 provinces in Indonesia that have unique characteristics, the author presented them during 2015-2019. Through multiple linear regression, this study seeks to discuss the relationship of unemployment, labor force participation rate, and poor people to Indonesia’s GDP growth. These findings suggest that the three macroeconomic variables have a negative impact on GDP. Regarding GDP growth, only unemployment has an actual effect, while others have no significant effect. The implications of the policies pursued by the government are not only paying attention to economic aspects but social problems that are expected to spur economic development.

Pendidikan karakter merupakan proses berkelanjutan yang membutuhkan proses yang berlangsung terus menerus. Lingkungan keluarga merupakan tempat pertama seorang anak mendapatkan pendidikan karakter. Selama masa pertumbuhannya, anak akan belajar setiap dasar perilaku yang penting untuk kehidupannya. Mental emosional anak sangat dipengaruhi oleh bagaimana kemampuan dan pemahaman orang tua terkait pada pola asuh. Oleh karena itu, peranan orang tua sangatlah penting, namun saat ini kebanyakan orang tua belum memiliki kemampuan dan pemahaman mengenai pola asuh yang baik sesuai kebutuhan dan perkembangan anak. Berdasarkan wawancara yang dilakukan kepada 40 orang tua yang memiliki anak usia 0-6 tahun, 85% diantaranya masih kesulitan untuk mengetahui bagaimana pola asuh yang sesuai berdasarkan umur dan perkembangan karakter anak. Melihat adanya permasalahan tersebut, penelitian ini dilakukan untuk mengembangkan karakter sosio emosional anak dengan memberikan pendampingan, rekomendasi aktivitas dan milestone perkembangan karakter berdasarkan usia anak kepada orang tua. Penelitian ini dilakukan untuk memberikan rekomendasi aktivitas yang lebih terpersonalisasi sesuai kebutuhan anak. Penelitian dilakukan menggunakan metode design thinking untuk memvalidasi permasalahan dan solusi. Dengan menggunakan metode design thinking, solusi yang tervalidasi dapat terbentuk karena melalui setiap prosesnya dapat diketahui apa yang menjadi most pain (permasalahan terberat) dan most gain (keinginan terbesar) dari customer akan permasalahan yang dialami. Rekomendasi tersebut kemudian dikemas dalam sebuah perangkat lunak menggunakan pendekatan personal extreme programming.