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"Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016"
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<![CDATA[INTERPRETASI GEOLOGI BAWAH PERMUKAAN DAERAH POTENSI MATA AIR PANAS KALIULO KABUPATEN SEMARANG BERDASARKAN DATA GEOMAGNET MENGGUNAKAN MODEL 2-D & 3-D ]]>
<![CDATA[Diny Agustina Rahayu]]>;
<![CDATA[Udi Harmoko]]>;
<![CDATA[Tony Yulianto]]>;
<![CDATA[Sugeng Widada]]>;
<![CDATA[Yusuf Dewantoro]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[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. ]]>
<![CDATA[PENGUKURAN PERUBAHAN SUDUT POLARISASI PADA KOLESTEROL SEBAGAI KOREKSI PADA MINYAK SAWIT ]]>
<![CDATA[Ulfa Maftukhah]]>;
<![CDATA[Ketut Sofjan Firdausi]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[This research aims to determine the relation between changes of polarization angle and increased levels of cholesterol and triglycerides on palm oil (expired palm oil, edible palm oil) to the change of polarization angle. Samples were placed on a polarimeter with a light source of 100 W incandescent lamp. The results showed that the increase in the cholesterol is directly proportional to the change in polarization angle. The greater increase of cholesterol levels result in the greater of the change of polarization angles that showed in the non linier graph. The value of the change of polarization angle in expired palm oil, edible palm oil are θ cholesterol = 0,26⁰; 0,25⁰ for cholesterol and θ triglycerides = 1,19⁰ ; 0,6⁰ for triglycerides, respectively. So it can be seen that the increase of each change of polarization angle of triglyceride which is the difference of θ total with θ cholesterol are affected by the increase of cholesterol levels in the cooking oils. The volatile property of the solvent and the less stabil environment temperature also could affected the result of the study.]]>
<![CDATA[SENSITIVITAS LARUTAN NANOPARTIKEL CeO2 TERHADAP RADIASI SINAR GAMMA TELETERAPI COBALT-60 ]]>
<![CDATA[Agus Bashori]]>;
<![CDATA[Iis Nurhasanah]]>;
<![CDATA[Zaenal Arifin]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[Gamma rays are ionizing radiation that are useful to kill cancer cells through radiation therapy, but radiation would be dangerous if the user escapes scrutiny. In this case the required dosimeter to detect its existence. Practically daily dose allowed for radiotherapy ranges from 1.8 Gy to 2 Gy therefore needed dosimeter capable of detecting a range of doses. This study has been conducted testing sensitivity to gamma radiation to a solution of CeO2 nanoparticles, each of which is synthesized at a temperature of 400°C with a concentration of 2.5 x 10-4 g / ml. CeO2 nanoparticle solution is then analyzed using a UV-Vis spectrophotometer before and after irradiated. Gamma radiation with an energy of 1.33 MV administered at doses varying from 1 Gy to 3 Gy. The test results in the form of UV-Vis absorbance spectrum CeO2 nanoparticle solution which is used as a reference to determine changes in absorbance (ΔA) and value-G. Absorbance spectrum showed absorbance increased to dosing and a strong absorbance occurs at a wavelength of 297 nm for a solution of CeO2 nanoparticles were synthesized at a temperature of 400°C. Sensitivity solution CeO2 nanoparticles seen from the changes absrobansi and value-G. Gamma radiation dosing provide value change in absorbance of about 1.50 x 10-2 to 2.50 x 10-2 and values around 0.095 molJ-1 to 0,439 molJ-1 to a solution of CeO2 nanoparticles were synthesized at a temperature of 400°C. These values indicate that the solution of CeO2 nanoparticles have a sensitivity to gamma radiation.]]>
<![CDATA[ANALISIS CITRA CT SCAN KANKER PARU BERDASARKAN CIRI TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRIX DAN CIRI MORFOLOGI MENGGUNAKAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK ]]>
<![CDATA[Saitem Saitem]]>;
<![CDATA[Kuworo Adi]]>;
<![CDATA[Catur Edi Widodo]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[The research about analysis of CT Scan image of lung cancer based on texture feature Gray Level Cooccurrence Matrix (GLCM) and morphological using neural network back propagation has been done. Lung cancer is cancer that general occurred in the word. In 2012, 1,8 million new cases lung cancer and 1,6 million mortality because lung cancer. The research aim to analysis CT Scan image of lung cancer based on texture feature Gray Level Co-occurrence Matrix (GLCM) and morphological using artificial neural network back propagation and calculated accuracy of testing artificial neural network back propagation. This research conducts pass through stages of segmentation, feature extraction and classfication. Texture and morphological feature extraction are obtained from the thresholding segmentation. The result of feature extraction are value contrast, correlation, energy, homogeneity and area ratio then used to input in process training and testing using neural network back propagation. Process training is conducts since 4 second with number of iteration 113 iteration. In proces training from 86 train data image, 85 image is able to classified, so acurracy of training up to 98,83% and in process testing from 57 test data, 56 test data is able to classified, so test accuracy value up to 98,24%.]]>
<![CDATA[ANALISIS INTRUSI AIR LAUT MEGGUNAKAN DATA RESISTIVITAS DAN GEOKIMIA AIRTANAH DI DATARAN ALUVIAL KOTA SEMARANG ]]>
<![CDATA[Tabitha Abid Ardaneswari]]>;
<![CDATA[Tony Yulianto]]>;
<![CDATA[Thomas Triadi Putranto]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[emarang lowland-alluvial area is in the state of salt water intrusion, that has a direct impact to the groundwater quality. Groundwater quality is not only triggered by water level decreasing factors due to the groundwater exploitation,but also by the factor of lithology and aquifer condition. The purpose of this research is to know the resistivity rocks value, the value of groundwater quality, and to analyze the distribution of the estimated area that has been instuited by salt water. The result of processed data with Progress 3.0 is in the form of resistivity value which is correlated with groundwater quality testing value with salinity, electrical conductivity, dissolved oxygen, andpH parameters. Based on the geo-resistivity and groundwater geochemical data shows that there is intrusion salt water distribution area which occur in Trimulyo area with the resistivity value of 0,27 Ωm as the indicator of salinity and groundwater quality value parameters which show the salinity value of 3.600 mg/L, electrical conductivity of 6.370 μS/cm, dissolved oxygen of 0,8 ppm, and pH 7,7.]]>
<![CDATA[ANALISIS STRUKTUR BAWAH PERMUKAAN DAERAH HARJOSARI KABUPATEN SEMARANG MENGGUNAKAN METODE GEOMAGNET DENGAN PEMODELAN 2D DAN 3D ]]>
<![CDATA[Mars Widodo]]>;
<![CDATA[Tony Yulianto]]>;
<![CDATA[Udi Harmoko]]>;
<![CDATA[Gatot Yulianto]]>;
<![CDATA[Sugeng Widada]]>;
<![CDATA[Yusuf Dewantoro]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[Research of analysis subsurface structure in Harjosari Semarang district using geomagnet methods with 2D and 3D modelling. In this study, magnetic data acquisition was carried out in 93 points by using a PPM (Proton Precession Magnetometer) geometrics type of GSM 19T and 2 units geotron magnetometer G5 models to get the values of the total magnetic field. The result of measurement data is processed by the daily variation correction and IGRF correction (International Geomagnetic Reference Field). The corrected data has been used to create total magnetic anomaly contour. The total magnetic anomaly contour has been used to process reduction to plan surface. The result of reduction to plan surface has been used to create a contour upward continuation and then made reduction to the poles. The result of research showed the total magnetic anomaly closure pair of positive and negative indicated a fault zone below the surface. Result of research an incision on the closure pair of positive and negative to determine the subsurface structure of the region by creating a model of 2-dimensional (2D) using software Mag2DC. In 2D modeling result shows that was a fault zone below the surface about 210 to 1000 meters depth. The existence of the fault structure below the surface was estimated as a result of rock shifting from the northeastern area of research. Result of a 3-dimensional (3D) modelling using UBCMag3D software to determine subsurface structures more clearly by including error values, parameter values susceptibility and density models. On the results of the 3D display of subsurface structures found any difference in stark contrast to the susceptibility value at a depth of 225 meters to 1200 meters. The susceptibility value differences suspected presence of fault structures below the surface.]]>
<![CDATA[SISTEM PENGUKURAN KEKASARAN PERMUKAAN DINDING SUMUR BETON MENGGUNAKAN ULTRASONIC RANGING DENGAN MEDIA PENYIMPANAN DATA LOGGER ]]>
<![CDATA[Vifaldi Agti]]>;
<![CDATA[Suryono Suryono]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[Research of the application of ultrasonics wave for measurements of level of surface roughness of wall of the well concrete have been done. This purpose of research is create sensor system and data acquisition ultrasonic ranging for measure surface roughness of wall of the well and create data logger system which can store measurement results. This method included in non destructive test because It’s used of secure wave spectrum region and nocontact measurement system. In this research, ultrasonic pulse generator using microcontroller ATSAM3X8E and the ultrasonic transducer is work on frequency of 40kHz. The transducer emits ultrasonic pulses to the object via the transmitter and receive back the wave reflection on the receiver. ultrasonic waves are transmitted through air media experience attenuation and reflected towards the object until received by the receiver. The object used as the measurement of roughness is wall of the well concrete, reasons for choosing this object is to minimize attenuation, thus increasing the reflection of ultrasonic waves. In the method of time-of-flight measurement is done by rotating transducer for scanning object using the DC motor. The measurement results is stored in a data logger using the SD Card. To get the surface roughness profile, the distance data obtained is calculated using standard deviation equation. Then obtained a deviation of the roughness profile, the lowest value is 0.255 cm, the highest score is 0.730 cm, and the average value is 0,495 cm.]]>
<![CDATA[ANALISIS TEKSTUR CITRA MIKROSKOPIS KANKER PARU MENGGUNAKAN METODE GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) DAN TRANFORMASI WAVELET DENGAN KLASIFIKASI NAIVE BAYES ]]>
<![CDATA[Rizky Ayomi Syifa]]>;
<![CDATA[Kusworo Adi]]>;
<![CDATA[Catur Edi Widodo]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[This research, conduct the lung cancer detection system on a microscopic image. The microscopic image used is the result from lung biopsy. If there is a cancerous tissue in the image of lung biopsy, the texture will be irregular, while the image of the normal lung biopsy will have a regular texture. The purpose of this reserach is to develope the lung cancer detection system and also to count the performance of the lung cancer detection system. The clasification process uses two methods, Gray Level Co-Occurance Matrix (GLCM) and Daubechies Wavelet Transform (db1). The Daubechies wavelet transformation is used in decomposition in level 4, while the offset of GLCM is 6. The feature extraction process is done in the transformation wavelet using the 4 subbands, approximation, horizontal Detils coefficients, vertical Detil coefficients and diagonal Detil coefficients, and the the feature extraction of GLCM uses the contrast, correlation, homogenity and energi as the parameter. The naïve bayes classification requires 2 parameter input, do a classification is 4 combination from each method of feature extraction. The result of this research is to extent the level of accuracy for the extraction of the feature extraction in 71,42% wavelet transformation method for the combination coefficients approximation-diagonal Detil coefficients and 80% accuration of GLCM method for the combination of homogeneity-correlation.]]>
<![CDATA[ANALISA PENYIMPANGAN IKLIM DARI FENOMENA ENSO MENGGUNAKAN MODEL KORELASI STUDI KASUS BOGOR ]]>
<![CDATA[Annisa Luthfianti Panular]]>;
<![CDATA[Rahmat Gernowo]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[Cases of climate anomalous in Indonesia, many have influences on the climate in several areas such as the dry or rainy season that does not occur periodically or the precipitation decrease that does not normal and deviated from ought. This study aimed to analyze the climate anomalous and correlation patterns of ENSO towards rainfall variability in Darmaga Bogor, then compared the results with rainfall of Tanjung Priok Jakarta. Both places have minimum ENSO influence because they being away from the center of ENSO events that is in the Pacific Ocean and located in the west Pacific. Climate anomalous due to ENSO (El Niño Southern Oscillation) in the Indonesian archipelago can occur if in the Pacific El Niño is more decreasing rainfalls or La Niña which further adds to the amount of rainfall.This research using a linear correlation analysis model and contour of the sea surface temperature (SST) from GrADS software. The data used are Index Nino 3.4 anomaly, IOD (Indian Ocean Dipole) anomaly, precipitation and SST anomaly data. Data is processed from January 2004 - December 2013 (10 years). Correlation of index Nino 3.4 years 2004-2013 showed a lot more going to negative index that means more towards the La Niña in Pacific Ocean. The results of correlation analysis in August in Darmaga between ENSO - IOD with rainfall that more affects the rainfall pattern is a ENSO factor either La Niña nor El Niño and also it followed by west monsoon wind pattern, whereas at Tanjung Priok that more affects the rainfall pattern is monsoonal rainfall patterns. Upon the precipitation in Darmaga generally has high enough intensity and some graph pattern follows monsoonal rainfall patterns whereas Tanjung Priok generally has low intensity and the graph pattern follows the type of monsoonal rainfall patterns. SST contour in West Java is on average warmed up that caused that region more easily condensed the clouds and atmospheric pressure at the waters becomes high.]]>
<![CDATA[ANALISIS POROSITAS DAN SATURASI AIR DALAM INTEGRASI PETROPHYSICS DAN SEISMIC MULTIATTRIBUTES UNTUK KARAKTERISASI RESERVOIR ]]>
<![CDATA[Gian Antariksa]]>;
<![CDATA[Hernowo Danusaputro]]>;
<![CDATA[Tony Yulianto]]>
<![CDATA[ Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016 ]]>
Publisher : <![CDATA[Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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<![CDATA[Plan of Development I is the development plan of one or more oil and gas fields in an integrated way (integrated) to develop and produce hydrocarbon reserves. Field development was conducted in order to know the area indications of hydrocarbons based on petrophysics analysis and determine its content with multiattributes. By integrating the study of seismic data, well data (including petrophysical analysis) with geological and stratigraphic information is a necessary step to determine the characteristics of a reservoir. Formation evaluation and petrophysical analysis as an initial stage to characterize the reservoir by studying rock properties such as volume of clay, porosity and water saturation. Multiattribut seismic analysis is used to predict the physical properties of the rock as a whole in the seismic volume. Based on the results of the petrophysical analysis of the target porosity ranges from 11% -14%, from the netpay statistical data lumping results have value Net to Gross range of 7% to 40%.and water saturation ranging from 18% -38%. Seismic multiatributtes method can predict petrophysical analyzes well in the target zone.]]>
