Investment activities in the capital market have the possibility to generate profits and at the same time also cause losses. The composite stock price index as an indicator used to determine investment continues to change over time. Uncertainty of stock exchange composite index requires investors to be able to make predictions so as to produce maximum profits. The aim of this study is to forecast the composite stock price index. The input variables used are Indonesia interest rates, rupiah exchange rates, Dow Jones index, and world gold prices. All data obtained in the period from January 2008 to March 2019. Data are used to build the Fuzzy Backpropagation Neural Network (FBPNN), model. The weight of FBPNN model was optimized using Genetic Algorithm then used to forecast the composite stock price index. The forecasting result of the composite stock price index for April to June 2019 respectively were 5822.6, 5826.8, and 5767.3 with the MAPE value of 8.42%. These results indicate that Indonesia interest rates, rupiah exchange rate, Dow Jones index, and the gold price are the proper indicators to predict the composite stock price index.

Photovoltaic pada umumnya digunakan untuk mengubah energy matahari menjadi energy listrik. Jika jumlah modul photovoltaic terbatas maka tegangan keluaran yang dihasilkan akan kecil. Untuk menghubungkan ke inverter pada sistem terhubung ke jala-jala, membutuhkan tegangan yang lebih tinggi dari pada keluaran photovoltaic. Untuk mengatasi hal ini, topologi konverter boost banyak dikembangkan untuk memperoleh untuk mencapai rasio pengubahan tegangan yang tinggi. Pada tugas akhir ini dibahas mengenai desain dan implementasi konverter DC-DC rasio tinggi berbasis Integrated Quadratic-Boost-Zeta untuk aplikasi photovoltaic.. Kelebihan dari konverter ini adalah memiliki rasio konversi yang tinggi dengan duty cycle kecil dan membutuhkan sedikit komponen. Pada pengujian, konverter ini mampu mengkonversi tegangan masukan 18 VDC menjadi 330 VDC pada duty cycle 65,92%.

The background of this issue, there are cases of violence mostly by educators is still emerged, must be a serious concern concern, which is shows the low understanding of educators about the concept of humanist education, as exemplified by KH Ahmad Dahlan, Ki Hajar Dewantara or Paulo Friere as a famous figure of educators. The research is aimed to understand the humanist educational thought of a religious patterned (KH Ahmad Dahlan), nationalist (Ki Hajar Dewantara) and socialistic (Paulo Friere) style of humanist education. The method used in this research is a library research with a qualitative approach, by doing descriptive analysis and interpreting the data obtained. The results of this research shows that KH Ahmad Dahlan, Ki Hajar Dewantara and Paulo Freire have similarities in viewing humanist education, although they have a slightly differences in the use of terms and methods of field practical application.

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