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INDONESIA
BERKALA FISIKA
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Physics
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 5 Documents
 1 
Search results for , issue "Vol 15, No 1 (2012): Berkala Fisika" : 5 Documents clear
MAGNETIZATION AND POLARIZATION PROFILE IN PML-TYPE MAGNETOELECTRIC MULTIFERROICS WITH CANTED SPIN SYSTEM Gunawan, Vincensius; Stamps, Robert L
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

We calculate the profile of both magnetization and polarization of a PML-typemagnetoelectric multiferroics which allow the magnetization of sub-lattices to be canted.  Thecalculation is started by deriving the Landau energy density and followed by solvingsimultaneously three equilibrium equations which respect to polarization, magnetization andcanting angle.   It is predicted that magnetoelectricity give rise to a “bump” in polarization profile. It is also calculated that the application of a magnetic/an electric field will also influence thepolarization/magnetization of the material.Keywords:  multiferroics, magnetization and polarisation
PERANCANGAN SISTEM PENGENDALIAN SUHU DENGAN PENGENDALI PID MENGGUNAKAN ESTIMASI ARX Khuriati RS, Ainie
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

In this paper ARX estimation methodology used to design a PID controller  for  temperature control of the air heater. The step input applied on heating systems and logging the  data   toMATLAB via a data acquisition system. The data obtained is used to identify the model of the processin the form of ARX. PID parameters obtained by minimising a standard  integral errors using theleast squares  method. Then,  the results were compared with the classical methodsKeywords:  PID, Identification,  air heater
APLIKASI METODE GEOLISTRIK TAHANAN JENIS UNTUK MENENTUKAN ZONA INTRUSI AIR LAUT DI KECAMATAN GENUK SEMARANG Nisa, Khoirun; Yulianto, Tony; Widada, Sugeng
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

An interpretation has been conducted to the salt water spreading in the district of Semarang city Genuk area by the geoelectrical method of resistivity using Schlumberger electrode configuration.Acquisition of field data were processed using Ip2win program whose results are used to describe the resistivity cross-section area of research. Resistivity cross-section was combined with thedistribution of groundwater sanility from electrical conductivity value approach to determine thezoning of sea water intrusion in the study area.Zone of sea water intrusion in the district of Semarang city Genuk are consist regionKarangroto and Sembungharjo starting from a depth of 80 meters, Bangetayu west starting from adepth of 100 meters, 140 meters depth Genuksari start, and Trimulyo ranging from a depth of 200meters with values of electrical conductivity 16.550 Ωm.Key Words : Geo-electrical, sea water intrusion
SISTEM PENGENALAN WAJAH DENGAN METODE EIGENFACE DAN JARINGAN SYARAF TIRUAN (JST) Mulyono, Tri; Adi, Kusworo; Gernowo, Rahmat
BERKALA FISIKA Vol 15, No 1 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

The development of security systems led to the development of face recognition system using image processing techniques.Research was conducted to identify a face image automatically with theeigenface method. The method used is a normalization, eigenface, neural network training and testing.Eigenface is used to reduce the dimension vector face becomes much simpler (eigen vector). Eigen vectorsobtained are used by back propagation neural network training process and recognition. Then do thetesting process using the image of a face that has not been used in the training process.The results showed the use of neural networks and eigenface to face recognition can give a goodaccuracy. The system is able to produce an acuracy of 84.6% with a FAR (False Acceptance Rate) =16.2%, FRR (False Rejection Rate) = 20% and EER (Equal Error Rate) = 0.3.Keywords : face recognition, eigenface, eigen vector, neural network
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

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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

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