Prominent characteristics of the direction economic policy in Asia is the emphasis on the inflation rate. Inflation is defined as a condition increases the price of prevailing goods in an economy continuously. The purpose of this research is to find out and analyze the influence of Bank Indonesia Certificate interest rate and money supply toward the inflation rate in Indonesia. This research method using time series of monthly data during the period of the 2006.1-2015.12 model approach using error correction (ECM) in the long term or short term. The results of the estimation of cointegration equation indicate that on the long run variable Bank Indonesia Certificate interest rate and money supply is significantly effected by  to the inflation rate in Indonesia. While ECM model is considered valid because the error correction term (ECT) has significant value. In the short term only Bank Indonesia Certificate interest rates that influence significantly to the inflation rate in Indonesia. Keywords: inflation, interest rates, money supply, error correction model

Background: Anemia is a global public health problem that occurs in developed countries or in developing countries. The prevalence of anemia in children aged 1-5 years in the United States is 3.9% and iron anemia is 1.1%. This review discussed prevalence and the risk factors and anemia in children in developed countries. Method: The method used is a literature review, the data source in the form of research articles is obtained from online databases, namely Google Scholar and Science Direct. The articles reviewed were 10 articles that met the inclusion criteria. Result: Based on several studies, iron deficiency or deficiency is the most common cause in children in developed countries. 8% of children under five in the United States have iron deficiency, and 2-3% of them are iron deficiency anemia. Risk factors for anemia include lack of serum zinc, low levels of 25 (OH) D, exclusive breastfeeding without iron fortification, Low Birth Weight (LBW), food intake factors, history of asthma and eczema, and maternal education. Iron deficiency anemia in childhood has been shown to have a negative effect on cognitive and psychomotor development. Prevention of anemia that can be done include giving iron supplements and food recommendations. Conclusion: Risk factors for anemia include lack of serum zinc, low 25 (OH) D levels, exclusive breastfeeding without iron fortification, Low Birth Weight (LBW), food intake factors, history of asthma and eczema, and maternal education.

Prominent characteristics of the direction economic policy in Asia is the emphasis on the inflation rate. Inflation is defined as a condition increases the price of prevailing goods in an economy continuously. The purpose of this research is to find out and analyze the influence of Bank Indonesia Certificate interest rate and money supply toward the inflation rate in Indonesia. This research method using time series of monthly data during the period of the 2006.1-2015.12 model approach using error correction (ECM) in the long term or short term. The results of the estimation of cointegration equation indicate that on the long run variable Bank Indonesia Certificate interest rate and money supply is significantly effected by to the inflation rate in Indonesia. While ECM model is considered valid because the error correction term (ECT) has significant value. In the short term only Bank Indonesia Certificate interest rates that influence significantly to the inflation rate in Indonesia. Keywords: inflation, interest rates, money supply, error correction model

Indeks Pembangunan Manusia (IPM) merupakan indikator untuk mengukur keberhasilan upaya pembangunan kualitas hidup manusia yang telah dicapai. Pertumbuhan IPM di suatu wilayah dapat dipengaruhi oleh faktor geografis yaitu besarnya angka IPM di suatu wilayah dapat memengaruhi angka IPM pada wilayah yang berdekatan sehingga faktor geografis diduga dapat memengaruhi dan memberikan efek dependensi spasial pada nilai IPM di Provinsi Jawa Timur. Penelitian ini bertujuan untuk melakukan pemodelan pada faktor yang berpengaruh terhadap Indeks Pembangunan Manusia di Provinsi Jawa Timur. Unit pengamatan pada penelitian ini adalah 38 kabupaten/kota di Provinsi Jawa Timur. Data yang digunakan adalah data sekunder dari Badan Pusat Statistik Jawa Timur tahun 2017. Metode analisis yang digunakan dalam penelitian ini adalah metode Spatial Autoregressive Model (SAR) dan Spatial Error Model (SEM). Hasil penelitian menunjukkan bahwa berdasarkan nilai uji Lagrange Multiplier (lag) dan Lagrange Multiplier (error) terdapat dependensi lag dan error. Variabel prediktor yang secara signifikan berpengaruh terhadap nilai IPM pada model SAR dan SEM antara lain Angka Harapan Hidup, Rata-rata Lama Sekolah, Angka Harapan Lama Sekolah dan Kemampuan daya beli masyarakat. Berdasarkan hasil penelitian didapatkan model SEM dengan nilai R2 terbesar dan nilai AIC terkecil sehingga model SEM lebih baik digunakan untuk menganalisis nilai IPM di Provinsi Jawa Timur dibandingkan model SAR dan model regresi OLS.