cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota semarang,
Jawa tengah
INDONESIA
BERKALA FISIKA
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
BERKALA FISIKA adalah jurnal saintifik yang diterbitkan secara periodik 3 bulanan. Jurnal ini memuat kajian-kajian Fisika baik kajian teoretik maupun hasil eksperimen. Jurnal ini juga memberi ruang yang luas bagi kajian – kajian aplikasi fisika dalam bidang teknologi, ilmu-ilmu hayati dan kedokteran.
Arjuna Subject : -
Articles 367 Documents
Interpretasi Bawah Permukaan Dengan Metode Self Potential Daerah Bledug Kuwu Kradenan Grobogan Dwi Indriana, Rina; Nurwidyanto, M. Irham; W. Haryono, Kurnia
BERKALA FISIKA Vol 10, No 3 (2007): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.623 KB)

Abstract

The geophysics research to observe the subsurface anomaly in Bledug Kuwu had been done. It was used to analyze and interpret the potential data. The purpose of this research was to interpret the object of subsurface anomaly. The research was used self potential method with base point electrode configuration. Data processed used Surfer 8 software, which result was an isopotential contour map. The modeling processed used curve matching for a spherical model. By using Bhattacharya theory, the depth and polarization angle was founded as the parameter of a spherical model. The research’s result of the depth of anomaly origin is 19,5 m, 23,68m, and 40,8 m. The polarization angle is 70o, 70,38o and 100o.   Keywords: Bledug Kuwu, self potential, spherical model  
PENGARUH PENAMBAHAN MINYAK GORENG HEWANI PADA MINYAK SAWIT TERHADAP PERUBAHAN SUDUT POLARISASI Kaltsum, Ummi; Idrus, Hadiyati; Firdausi, K. Sofjan
BERKALA FISIKA 2014: Berkala Fisika Vol. 17 No. 3 Tahun 2014
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.79 KB)

Abstract

The use of animal oil for various purposes by the people has inspired this study. The purpose of the study was to distinguish the mixture of cooking oil palm and variety of animal oil (chicken oil, beef oil, and pork oil). The composition of the mixture of palm oil and animal oil is 3:1 mL, respectively. The light source used were He-Ne laser of 1 mW (λ = 633 nm) and IR lamp of 250 watt (λ = 750-800 nm). Measurements were made based on changes in the natural polarization angle (0 kV) and electrooptics (6 kV). The result showed that the natural polarization angle changes and electrooptics of  mixture of palm oil and animal oil greater than pure palm oil, both at He-Ne laser and IR light. This is consistent with the results of the titration test, peroxide value and free fatty acids (FFA) oil mixture was greater than pure palm oil. Change in the polarization angle represents the presence of saturated fatty acids. Animal oils have saturated fatty acid content greater than palm oil, so the polarization angle changes of oil mixture is greater than polarization angle changes of pure palm oil. Keywords: animal frying oil, palm oil, polarization angle
Analysis of Sodium, Potassium and Calcium using a Portable Liquid Electrode Plasma Optical Emission Spectrometer Hidayanto, Eko; Yamamoto, Takashi; Kawai, Jun
BERKALA FISIKA Vol 14, No 1 (2011): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.09 KB)

Abstract

Elements of sodium (Na), potassium (K) and calcium (Ca) in beverage samples and river water were analyzed with portable liquid electrode plasma - optical emission spectrometer (LEP-OES). The degree of reproducibility for emission intensities and individual variety of a disposal sample chip were investigated, and measuring conditions for quantitative analysis and the precision was discussed. The sensitivity for Na was higher than those for K and Ca by one or two orders of magnitude. Several ppm of Na and K, and several hundred of Ca in aqueous samples could be quantitatively analyzed with 2-30% of deviation without internal standard. The applied voltage was predominant factor for accurate quantitative analysis, and 800 V was found to be the best voltage estimation for quantitative analysis of alkaline metals contents.
PEMANFAATAN METODA INVERSI DAN PROBABILISTIC NEURAL NETWORK PADA DATA SEISMIK DALAM PENENTUAN ZONA RESERVOAR BATUGAMPING (CARBONATE BUILDUP) DI LAPANGAN SUKO, CEKUNGAN JAWA TIMUR UTARA Novianto, Ardian
BERKALA FISIKA 2015: Berkala Fisika Vol. 18 No. 3 Tahun 2015
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1348.804 KB)

Abstract

Limestone particularly Carbonate Buildup is one type of reservoir potential as a hydrocarbon accumulation. Problems often encountered in the analysis are the type of reservoir porosity deployment complexity that is very different from other rocks. The understanding of porous area as a zone of a reservoir in the body Carbonate buildup will provide an overview in the development and determination of drilling new wells. Identification of potential zones in carbonate buildup can be done with the approach of the seismic data inversion process and multi-attribute with neural network method. Seismic inversion process is the reverse of the forward modeling process which will produce Acoustic impedance value that describes not only the boundary between the layers but also a layer of rock itself (Layer Properties). Validation of the results of the inversion process is done by creating a density map using multi-attribute process with probabilistic neural network method. The results of the inversion and multi-attribute process is expected to provide an overview of the deployment area having a large porosity which can serve as a reservoir zone. The results from the combination of the two methods showed that the reservoir zone is in the central part of carbonate buildup that field through the development of new drilling process can be directed at the zone. Keywords: AI inversion, Multi-attribute PNN, Carbonate Buildup
Koreksi Tekanan Gas Ideal untuk Plasma sebagai Materi Fase ke empat dan Penerapannya pada plasma Argon Nur, Muhammad
BERKALA FISIKA Vol 12, No 4 (2009): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.72 KB)

Abstract

Pehitungan secara analitik telah dilakukan untuk memperoleh perumusan tekanan pada plasma. Perhitungan dengan pendekatan non kuantum ini megunakan fungsi-fungsi termodinamika dalam gas seperti entropi, entalpi, energi bebas  Helmholtz, energi bebas Gibs dan fungsi-fungsi partisi partikel dalam Plasma. Perumusan yang diperoleh digunakan untuk menentukan tekanan pada plasma korona Argon densitas tinggi dan plasma Argon gelombang  mikro pada tekanan gas awal 1 atmosfer. Hasil pehitungan tekanan diperoleh perbedaan dantara tekanan gas panas dengan tekanan kondisi plasma sebesar ΔPplasma1/24π Pgas dimana tekanan pada kondisi plasma lebih kecil dari tekanan gas panas. Penerapan terhadap plasma korona argon densitas tinggi, ditemukan bahwa tekanan plasma berubah secara parabolik terhadap perubahan densitas dan tekanan plasma berubah secara linear terhadap temperatur.   Key words:Plasma. gas panas, tekanan, termodinamika, energi bebas, argon, densitas, temperatur
ANALISA DATA CURAH HUJAN STASIUN KLIMATOLOGI SEMARANG DENGAN MODEL JARINGAN SYARAF TIRUAN Arif, F M; Gernowo, Rahmat; Setyawan, Agus; Febrianty, D
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (106.795 KB)

Abstract

The major purpose of this research was to applying artificial neural network to predicting rainfall in Semarang climatology station and occurs its accuration. One ofartificial neural network method is back propagation artificial neural network. Withheuristic technique its optimizing to train algorithmic faster and improving net works. Weused rainfall data in 2000-2009 from Semarang climatology station. Artificial neuralnetwork modelling planned in MATLAB R2008b programme. The best model or net viewsfrom correlation level between net’s output, observation data and RMSE point whichproduced by the net. The results shown the best network has 5 neurons in input’s layer, 10in hidden layer and 1 neuron in output layer. Its performance has learning data 66,7%,testing data 33,3%, learning rate 0,7 and momentum 0,4 which has correlated around70,72% to observation data with RMSE point 141,55. The best network will use topredicting rainfalls in 2010, its correlation is 88,43% and its RMSE points is 83,76 tillJuly. Its better than what BMKG has which only reach 84,63% correlation points and87,21 RMSE points.Keywords:  Artificial neural network, optimizing, correlation, RMSE
Persamaan Fokker Planck dan Aplikasinya Dalam Astrofisika Palupi, Dwi Satya
BERKALA FISIKA Vol 13, No 2 (2010): Berkala Fisika, Edisi Khusus
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.399 KB)

Abstract

Abstract It has been established Fokker-Planck equation to obtain the evolution of particle distribution functions that describe the motion of particles in a fluid that can not be described by the Liouville equation. Fokker-Planck equation contains a diffusion component particles and the interaction between the particles will be discussed application of Fokker-Planck equation in astrophysics since the plasma in the form of interstellar space so that there is interaction between the particles making up the plasma.   Keywords: Fokker-Planck, plasma, astrophysics
Studi Radiografi Makro Dengan Variasi Jarak Sumber Sinar-Bayangan (SID) dan Ukuran Fokus Terhadap Pembesaran Bayangan Suriansyah, Nanang; Setiawati, Evi; Firdausi, K. Sofjan
BERKALA FISIKA Vol 10, No 4 (2007): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.347 KB)

Abstract

The dependence of radiograph magnification (M) on the ratio focal spot size to object ( has been studied. The object shape like a coin made from iron which different diameter and variation focal spot size have been used. The experiment condition were set up at the distance of the object to the film of 0 cm (object stick the film) and 45 cm, with the tube voltage of 50 kV, tube’s current of 100 mA, and time of 0.04 s. The results show that the increasing of (leads to the increasing of (M) when the distance of the object to the film is more than 0 (b>0).   Keyword: focal spot, SID, magnification radiograph
PENDUGAAN LAPISAN RESERVOIR PANAS BUMI DI KAWASAN GUNUNGAPI SLAMET DENGAN MEMANFAATKAN DATA ANOMALI MEDAN GRAVITASI CITRA SATELIT Reswara P.A., Ardhana; Sehah, Sehah
BERKALA FISIKA 2014: Berkala Fisika Vol. 17 No. 2 Tahun 2014
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.012 KB)

Abstract

Estimation of the subsurface geological structures of Slamet Volcano area, Central Java, has been done by utilizing gravity field anomaly data of image of Geodetic Satellite (Geosat ) and European Remote Sensing-1 (ERS-1) satellite which has been corrected up to free air correction. This research aims to model the 2D profile of the subsurface geological structure which includes some layers of bedrocks, geothermal reservoir, magma chamber, and other geological structures. The procedure of data processing begins with bougeur and topographic corrections. The data obtained, then transformed to horizontal surface, filtered from the local anomalies effects, and corrected from the regional anomaly effect. The results obtained are in the form of residual gravity anomaly data. Modeling is done on the residual gravity anomaly data using 2 ½-D Talwani method packaged in Grav2DC for Window software. The modeling results show the subsurface geological structure of Slamet Volcano region consists of andesite magma with density value of 2.45 gram/cm3, old lava rock with density value of 2.9 gram/cm3, andesite rock with density of 2.54 gram/cm3, and andesitic – basaltic rock with density of 2.67 gram/cm3. Based on the research area geological information, strongly estimated that the geothermal reservoirs layers are in the andesite rock by filling in it pores or it fissures in the rock. Keywords: gravity field anomaly, modeling, geothermal reservoirs, Slamet Volcano.
ANALISIS MEDAN LISTRIK PADA PLASMA KORONA DENGAN KONFIGURASI CINCIN BIDANG Wardaya, Asep Yoyo; Nur, Muhammad
BERKALA FISIKA Vol 13, No 4 (2010): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (188.805 KB)

Abstract

It has been studied efectivity of the electric field and density of current that have been determined by the physical criteria from a long size of cylinder and a radius of thin ring from the corona plasma generator with the plane ring electrode. The result of the calculation is indicate that the strong electrics field will be resulted by the configurations of the thin ring form, contiguity apart between the thin rings (minimum cylinder length) and the size of the thin ring radius which near of the size of external cylinder radius. The radial symmetrical of geometric form of the thin ring is causing it has not current density form at tip of the thin ring.   Key words : Plasma,  plane-ring, electric field, density of current.

Filter by Year

2006 2025


Filter By Issues
All Issue Vol 28, No 1 (2025): Berkala Fisika Vol 27, No 2 (2024): Berkala Fisika Vol 27, No 1 (2024): Berkala Fisika Vol 26, No 2 (2023): Berkala Fisika Vol 26, No 1 (2023): Berkala Fisika Vol 25, No 4 (2022): Berkala Fisika Vol 25, No 2 (2022): Berkala Fisika Vol 24, No 4 (2021): Berkala Fisika Vol 24, No 3 (2021): Berkala Fisika Vol 24, No 1 (2021): Berkala Fisika Vol 23, No 4 (2020): Berkala Fisika Vol 23, No 3 (2020): Berkala Fisika Vol 23, No 2 (2020): Berkala Fisika Vol 23, No 1 (2020): Berkala Fisika Vol 22, No 4 (2019): Berkala Fisika Vol. 22 No. 4 Tahun 2019 Vol 22, No 3 (2019): Berkala Fisika Vol. 22 No. 3 Tahun 2019 Vol 22, No 2 (2019): Berkala Fisika Vol. 22 No. 2 Tahun 2019 Vol 22, No 1 (2019): Berkala Fisika Vol. 22 No. 1 Tahun 2019 2015: Berkala Fisika Vol. 18 No. 4 Tahun 2015 2015: Berkala Fisika Vol. 18 No. 3 Tahun 2015 2015: Berkala Fisika Vol. 18 No. 2 Tahun 2015 2015: Berkala Fisika Vol. 18 No. 1 Tahun 2015 2014: Berkala Fisika Vol. 17 No. 4 Tahun 2014 2014: Berkala Fisika Vol. 17 No. 3 Tahun 2014 2014: Berkala Fisika Vol. 17 No. 2 Tahun 2014 2014: Berkala Fisika Vol. 17 No. 1 Tahun 2014 Vol 16, No 4 (2013): Berkala Fisika Vol 16, No 3 (2013): Berkala Fisika Vol 16, No 2 (2013): Berkala Fisika Vol 16, No 1 (2013): Berkala Fisika Vol 15, No 4 (2012): Berkala Fisika Vol 15, No 3 (2012): Berkala Fisika Vol 15, No 2 (2012): Berkala Fisika Vol 15, No 1 (2012): Berkala Fisika Vol 11, No 2 (2008): Berkala Fisika Vol 14, No 4 (2011): Berkala Fisika Vol 14, No 3 (2011): Berkala Fisika Vol 14, No 2 (2011): Berkala Fisika Vol 14, No 1 (2011): Berkala Fisika Vol 13, No 4 (2010): Berkala Fisika Vol 13, No 3 (2010): Berkala Fisika Vol 13, No 2 (2010): Berkala Fisika Vol 13, No 2 (2010): Berkala Fisika, Edisi Khusus Vol 13, No 1 (2010): Berkala Fisika Vol 12, No 4 (2009): Berkala Fisika Vol 12, No 3 (2009): Berkala Fisika Vol 12, No 2 (2009): Berkala Fisika Vol 12, No 1 (2009): Berkala Fisika Vol 11, No 4 (2008): Berkala Fisika Vol 11, No 3 (2008): Berkala Fisika Vol 11, No 1 (2008): Berkala Fisika Vol 10, No 4 (2007): Berkala Fisika Vol 10, No 3 (2007): Berkala Fisika Vol 10, No 2 (2007): Berkala Fisika Vol 10, No 1 (2007): Berkala Fisika Vol 9, No 4 (2006): Berkala Fisika Vol 9, No 3 (2006): Berkala Fisika Vol 9, No 2 (2006): Berkala Fisika Vol 9, No 1 (2006): Berkala Fisika More Issue