Interpretasi Geologi Bawah Permukaan Daerah Potensi Mata Air Panas Kaliulo Kabupaten Semarang Berdasarkan Data Geomagnet Menggunakan Model 2-d & 3-d

The geothermal hot springs has been discovered in the Kaliulo area, Pringapus district of Semarang Regency. The research was conducted by 2-D and 3-D model geomagnetic for find the geological subsurface structure. Observation data such as magnetic field of 61 point used one set of PPM (Proton Precission Magnetometer) GSM geometrics 19 T and two units Geotron Magnetometer Model Unit G5. Data analysis of geomagnet was undertaken by diurnal correction and IGRF (International Geomagnetic Reference Field) correction to obtain the total of magnetic field anomalies. The total magnetic field anomaly data were utilized to create anomaly contour. That anomaly is used for doing reduction to plansurface process, upward continuation that produce anomalies local and regional, and reduction to pole. Modeling was done on the local magnetic anomalies to review subsurface using Mag2DC and UBC Mag3D. The results showed the + (positive) closure and – (negative) closure that can indicate anomalies object in other word to be weak zone or geological structure of fault is available, so that the slicing is made on that closure. Based on the model 2-D normal fault structure the northwestsoutheast trending and northeast-southwest, this interpreting so that normal faults which controlled source hot springs Diwak to Kaliulo

Pemodelan Inversi Anomali Magnetik 3d Daerah Mata Air Panas Diwak dan Derekan

Research of magnetic methods that aim to interpretation the subsurface structure around the hot springs area Diwak and Derekan and to identification caused of hot springs Diwak and Derekan has been successfully carried out. In this research, measurements were taken at 97 points using a proton precession magnetometer (PPM) type of GSM model 19T geometrics and two Geotron Magnetometer G5 models to get the value of the total magnetic field. Measurement data is processed by the daily variation correction and correction IGRF (International Geomagnetic Reference Field) to get the value of the total magnetic field anomaly. Corrected data used to create contours of the total magnetic field anomaly. Contour total magnetic field anomaly is used for the reduction to plan surface process and upward continuation process. The results of the upward continuation get the contours of local anomaly and regional anomaly, the results of the local anomaly contour then reduced to the pole. Results of the research is a pair of positive and negative closure indicate a fault structure below the surface. There are two pairs of positive and negative closure which an incision is made to determine the subsurface structure by creating a 2D model using the software Mag2dc. 2D modeling results indicate the existence of a second incision fault structure in the form of down trending fault southwest-northeast. Meanwhile, to make 3D models using software Mag3D and 3D modeling results indicate the presence of fault structures below the surface. Fault zone results of 2D and 3D modeling is a media outlet fluid to the surface in the form of hot springs Diwak and Derekan

HYBRID POWER PLANT OF THE PHOTOVOLTAIC-FUEL CELL

The purpose of this research is to study the performance of hydrogen fuel cell to study different fuel flow rate and different concentration to obtain the optimum performance of the cell. First, design a hydrogen fuel cell model, second simulate cell performance toward hydrogen fuel flow rates of 6, 18, and 30 mL/min and fuel concentrations of 50 mol/m3 . Subsequently, we obtained the characteristics of voltage-electric current density and power density-electric current density per stack of fuel cell. The research of this hydrogen fuel cell obtained the power density optimum of 0.0471 mW/cm2 at a cell current density of 0.135 mA/cm2 and a cell voltage of 0.35 V. The greater the load the greater the time used by the battery for instant loads. The average time when the load is small is 10 W with a time of 240 hours and the fastest time when a large load is 400 watts with a time of 6 hours. Decreasing battery discharge time to the same load due to the completion of power losses in each device or circuit that produces the power generated by the battery does not reach the maximum load