Rahmat Gernowo
Departemen Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro, Semarang

Published : 26 Documents
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Model Perhitungan Titik Gelombang Pecah (Point Breaker Wave) Disekitar Pantai Gernowo, Rahmat
BERKALA FISIKA Vol 12, No 2 (2009): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

In this paper will be studied numerically the point breaker wave characteristic on shore. The model equation of the surface wave based on the equations which is governed by combining the refraction-diffraction on mild slope bottom. As mathematical analysis approximation, the finite difference methods was us for understanding the characteristic behavior of the surface wave on shore. The numerical simulation is obtained from the result of the numerical computation. There are significance changes of the height of wave, which is influenced by mild slope bottom factor (shoaling), diffraction and refraction.           Key Word: Point Breaker Wave, finite difference, diffraction and reffraction.
Monsoon Effect at Flood Phenomena on 2002 and 2007 in DKI-JAKARTA Gernowo, Rahmat
BERKALA FISIKA Vol 12, No 1 (2009): Berkala Fisika
Publisher : BERKALA FISIKA

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Abstract

The monsoon effect one think especially represent to important matter as causes of floods happen in area of Jakarta. The research of convection pattern above area of DKI-Jakarta based on to existing perception data, which is expected will give the understanding of growth of convection cloud yield torrential rains and deliver floods in DKI-Jakarta on 2002 and 2007. The result of research into whereas in this research is obtained by the rain study of extreme in DKI-Jakarta. As rainfall data result of average from some stations is residing in DKI-Jakarta. The result of research is obtained by comparison analysis whereas, that cloud dynamics in DKI-Jakarta happened at around of December, January and February, where periodicity of monsoon takes place. Keywords: Monsoon, flood and cloud dynamics.
Rancang Bangun Sistem Informasi Geografis Dengan Fuzzy Multiple Criteria Decision Making Untuk Penentuan Lokasi TPA Sampah (Studi Kasus : Rancangan Tata Kota &Rancangan Wilayah Kabupaten Blora) Handoyo, Joko; Gernowo, Rahmat; Sugiharto, Aris
SIMETRIS No 15 (2012): SIMETRIS NO 15
Publisher : SIMETRIS

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Increased  economic  activity and investment  has  an  impact on  the population growth  rate  as  well  as  an  increase  in the  rate of  landfill  waste. For  that  effort  to  waste  management  is  an  absolute  must  do  in  order  to  create  a  clean and  healthy environment  that  can  support  the  development  and  community activities.  so  it  is  deemed  necessary  to  the  development of the City  Planning  and  Procedures  Rencangan  Regency  Blora  specialized  in  the  implementation  of  land  available  for  landfill location. Geographic Information Systems  (GIS) technology is used to identify candidate sites for  waste disposal facilities in the  District  Blora  using  SNI  19-3241-1994.  This  procedure  follows  the  GIS  framework  that  removes  the  location  is  not acceptable  taking  into  account  environmental  factors,  in  addition  to  political  issues  and  the  economy,  which  is  contained  in the  coated  layer  of  additional  information  to  select  candidates  for  a  landfill  site  through  overlay  analysis  performed  by  the GIS  software  .  Models  used  in  decision  support  systems  is  Fuzzy  Multiple  Criteria  Decision  Making  For  Waste  Landfill Sitting,  this  method  is  used  because  it  can  help  in  decision  making  with  respect  to  the  existing  criteria  and  qualitative information provided. From  the  test  results  can  be  concluded  that  by  using  Fuzzy  Multiple  Criteria  Decision  Making  can  be  established that  the  determination  of  landfill  waste  consists  of  three  integral  alternative  locations.  Integral  location  of  the  optimal location of the diagnosis results obtained, both with the degree ofoptimism 0,0.5 and 1.   Keywords  :  information  systems,  fuzzy  multi  criteria  decion  making  (FMCDM),  geographic  information  systems  (GIS), waste.
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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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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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
MODEL ARIMA UNTUK PREDIKSI CURAH HUJAN STUDI KASUS SEMARANG JATENG A Rofik, Muchammad; Gernowo, Rahmat; Setyawan, Agus; Nursamsiah, Nursamsiah
BERKALA FISIKA Vol 15, No 3 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Modeling and prediction of rainfall in 2010 in Central Java BMKG Climatological Station has been done with ARIMA approach. The goal is to determine the historical pattern of the dataand then extrapolates this pattern into the future based on the assumption of continuity. Rainfalldata of 2000-2009 is a time series that can be predicted into the future using ARIMA. In thisstudy using two approaches for prediction of rainfall in 2010. The results were correlated with aprediction of rainfall data observed in 2010. Obtained a correlation of 71.1% and 75.48%.Keywords: ARIMA, rainfall, predictions, models
STUDI AWAL DAMPAK PERUBAHAN IKLIM BERBASIS ANALISIS VARIABILITAS CO2 DAN CURAH HUJAN (Studi Kasus; Semarang Jawa Tengah) Gernowo, Rahmat; Adi, Kusworo; Arifin, Zaenal
BERKALA FISIKA Vol 15, No 4 (2012): Berkala Fisika
Publisher : BERKALA FISIKA

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Impacts of climate change marked by the increasing emissions of CO2 in the air and increased precipitation make various parties began to feel the need to measure the gas content on a regular basis.These gases gradually accumulating in Earth´s atmospheric layers. However, the desire was constrainedby a number of issues which then affect the accuracy of the continuous mapping circulating gas in theatmosphere. Researchers speculate that the amount of CO2 and other gases is growing each day due tothe many additional human-produced carbon emissions from burning fossil fuels. The results obtained bythe pattern of variability in Semarang rising CO2 and rising precipitation trends show an indication ofclimate change has occurred. It was proven occurrence of climate anomalies and the previous year.Keywords: CO2 variability, Rainfall Semarang
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN TARUNA BARU MENGGUNAKAN BASIS DATA FUZZY - STUDI KASUS DI AKPELNI SEMARANG Hidayat, Eko Nur; Gernowo, Rahmat; Sugiharto, Aris
Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Vol 1, No 1 (2013): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 4 2013
Publisher : Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik

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Proses  seleksi  penerimaan  taruna  baru  di  Akademi  Pelayaran  Niaga  Indonesia (AKPELNI)  terdapat beberapa ketidakpastian, antara  lain nilai ujian seleksi potensi akademik,  nilai  kesamaptaan,  kesehatan,  tinggi  badan  serta  wawancara  setiap periode tidak pasti, tergantung dari jumlah pendaftar dan daya tampung. Logika fuzzy merupakan  salah  satu metode  penyelesaian masalah  yang mulai  berkembang  pada tahun  1965.  Logika  fuzzy  menggunakan  dasar  teori  himpunan  fuzzy  dimana keberadaan  suatu  elemen  dalam  himpunan  ditentukan  oleh  derajat  keanggotaan elemen  tersebut.    Dengan  sifat  keanggotaan  himpunan  fuzzy  tersebut  maka  logika fuzzy menjadi  lebih  fleksibel  (mampu beradaptasi dengan perubahan-perubahan dan ketidakpastian yang menyertai permasalahan) serta memiliki  toleransi  terhadap data yang  tidak  tepat.  Penelitian  ini  bertujuan  membangun  sebuah  sistem  pendukung keputusan  untuk  menentukan  calon  taruna  yang  diterima  dan  tidak  diterima menggunakan  basis  data  fuzzy  menyesuaikan  dengan  jumlah  pendaftar  dan kapasitas/kuota.    Dengan  memberikan  input  berapa  kapasitas/kuota    yang  akan diterima serta standar nilai  maka panitia penerimaan taruna baru dapat memutuskan siapa yang diterima dan yang tidak diterima.  Kata Kunci :Logika Fuzzy, penerimaan taruna baru, system pendukung keputusan
ANALISIS KORELASI CITRA DATA PRIMER DENGAN DATA SEKUNDER MENGGUNAKAN CITRA GRID ANALYSIS AND DISPLAY SYSTEM (GrADS Jatmiko, Wahyu; Gernowo, Rahmat
YOUNGSTER PHYSICS JOURNAL Vol 3, No 1 (2014): Youngster Physics Journal Januari 2014
Publisher : YOUNGSTER PHYSICS JOURNAL

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Abstract

Indonesia has 13 (thirteen) the threat of catastrophic earthquakes, tsunamis, floods, landslides, volcanic eruptions, extreme waves and abrasion, extreme weather, drought, forest fires and land, buildings and residential fires, epidemics and disease outbreaks, failed technology, and social conflict. Research related to hydrometeorological predictable by doing a variety of approaches, one using remote sensing methods provided by the World Meteorological Organization (WMO) with the advantages of data is not affected by the location of the location such as the presence of a cliff, lake, or mountain.In the study image correlation analysis of primary data with secondary data using imagery Grid Analysis And Display System (Grads) have been analyzed the correlation between the image of the primary data with secondary data using Grid software image Analisys And Display System. The data used are rainfall, air temperature, and humidity, all of the data is the data on average monthly. Primary data were obtained from Badan Meteorologi, Klimatologi dan Geofisika (BMKG) Semarang and secondary data obtained by downloading from the National Oceanic And Atmospheric Administration (NOAA) website.The value of the correlation between the primary data with secondary data for rainfall data indicate a strong relationship , occurs when the amount of rainfall maximum correlation value is 0,67 and the value of correlation in the event the minimum rainfall is 0,79 . On air temperature data the value of the correlation time of maximum rainfall is 0.69 and the value of correlation in the event of rainfall minimum is -0,37 . Correlation values for air humidity data at the time of maximum precipitation is 0,01 and the magnitude of the correlation value at the time the minimum rainfall is 0,95 .Keywords : GrADS , disaster, correlation, extreme weather, dryness
The Prediction of Bandwidth On Need Computer Network Through Artificial Neural Network Method of Backpropagation Mekongga, Ikhthison; Gernowo, Rahmat; Sugiharto, Aris
JURNAL SISTEM INFORMASI BISNIS Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (971.992 KB) | DOI: 10.21456/vol2iss2pp098-107

Abstract

The need for bandwidth has been increasing recently. This is because the development of internet infrastructure is also increasing so that we need an economic and efficient provider system. This can be achieved through good planning and a proper system. The prediction of the bandwidth consumption is one of the factors that support the planning for an efficient internet service provider system. Bandwidth consumption is predicted using ANN. ANN is an information processing system which has similar characteristics as the biologic al neural network.  ANN  is  chosen  to  predict  the  consumption  of  the  bandwidth  because  ANN  has  good  approachability  to  non-linearity.  The variable used in ANN is the historical load data. A bandwidth consumption information system was built using neural networks  with a backpropagation algorithm to make the use of bandwidth more efficient in the future both in the rental rate of the bandwidth and in the usage of the bandwidth.Keywords: Forecasting, Bandwidth, Backpropagation