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All Journal Jurnal Rekayasa Jurnal Rekayasa Sipil dan Desain Teras Jurnal Journal of Engineering and Scientific Research (JESR)
Ahmad Zakaria
Universitas Lampung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Other

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The ratio of Indonesia BMKG agency and TRMM satellite Rainfall Data in West Java Province by Using Statistical Parameter and Correlation Analysis Rian Alfian; Ahmad Zakaria; Endro Prasetyo Wahono; Dyah Indriana Kusumastuti; Ahmad Herison
Journal of Engineering and Scientific Research Vol. 3 No. 2 (2021)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (927.393 KB) | DOI: 10.23960/jesr.v3i2.82

Abstract

Weather observations can be done in two ways, namely weather observations based on weather stations and based on remote sensing such as satellites. One of these weather study data is rainfall measured from the BMKG rain observation post and TRMM satellite observations. To see the pattern of the distribution of rain that has occurred, the two weather observations can be connected as a reference for the distribution of rain. The purpose of this study was to analyze the correlation value of rainfall data between BMKG and TRMM by looking at the comparison graph and analyzing the comparison of statistical parameters. This research was conducted using daily rainfall data from 1998-2018 at four rain stations in West Java Province and taking descriptive decisions in the form of pictures and graphs in the form of daily, monthly and annual data. Based on the analysis results, the largest correlation value is in the annual cumulative with a value of 0,88-0,94, the smaller the number of days, the smaller the correlation value. The BMKG and TRMM rainfall data have relatively the same pattern, but the maximum data have differences so that it reduces the correlation value. In the Statistical Parameter analysis, it can be stated that the difference in the values ??of the statistical parameters is directly proportional to the daily cumulative, that the difference in the median and mean values ??in the BMKG and TRMM data is greater in the data with a larger cumulative. Meanwhile, for linear regression analysis, it was found that the greatest value was the cumulative 1-year value with a coefficient of determination from 0,78 - 0,89.
OPTIMASI WADUK REGULATING DAM DI KABUPATEN PRINGSEWU, PROVINSI LAMPUNG Dharmawan Setioko; Gatot Eko Susilo; Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 19, No 1 (2015): Edisi April 2015
Publisher : UNIVERSITAS LAMPUNG

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Abstract

Argoguruh Weir is the biggest irrigation weir in Lampung Province. This hydraulic structure was developed in 1935, crossing Way Sekampung River and serving Sekampung Irrigation Area which is about 67,000 ha. This weir is supplied by water from Batutegi Dam and baseflow of the upper Way Sekampung basin. Excessive water in Argoguruh Weir is passing by and flowing to the sea. Due to this condition, the government plan to build a dam between Batutegi Dam and Argoguruh Weir. This research aims to carry out a simulation of water balance in the Regulating Dam in order to find the best operational pattern for the dam. The Objective function of the simulation is water ele- vation of reservoir with probability more than 80%. The constrain of the simulation is that water elevation of the reservoir has to be higher than the water elevation of reservoir dead storage that is +102.30 m. Discharge data used in the simulation is daily discharge data of Argoguruh Weir from the year 2005 to the year 2013. The simulation is operated in 15-days time basis. Results of the simulation indicate that the objective function of the simulation is found in elevation +116.07 m with probability of 80.09%. On that condition, water from the reservoir is utilised for PDAM Pringsewu water supply and for the water supply for 242.90 ha new irrigation area. The lowest water elevation in this condition is +111.86 m. This water elevation is much more higher than the one of reservoir dead storage.
MODEL PERIODIK DAN STOKASTIK DATA PASANG SURUT JAM-JMAN DARI STASIUN MENENG Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 18, No 3 (2014): Edisi Desember 2014
Publisher : UNIVERSITAS LAMPUNG

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Abstract

The aim of this study are to compare periodic and stochastic models generated by using FFT fre- quencies with periodic and stochastic models generated by using astronomic frequencies. Fourier series are used to simulated periodic model, and autoregressive method is employed to simulate stochastic model. In this study, 253 dominant FFT frequencies and 9 astronomic frequencies are used as constituent frequencies to simulate periodic models. 512 hours of data are used for the model. Results of this study present that the periodic and stochastic models using FFT frequencies give more accurate results than periodic and stochastic models using the astronomic frequencies.
PEMODELAN STOKASTIK CURAH HUJAN DARI BEBERAPA STASIUN CURAH HUJAN WILAYAH TANGGAMUS Ahmad Zakaria; Geleng Perangin Angin; Qodri Ismail
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 18, No 1 (2014): Edisi April 2014
Publisher : UNIVERSITAS LAMPUNG

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Abstract

This research is to study the periodic and stochastic models in the series of daily rainfall data. The study was conducted using daily rainfall data with a data length of 25 years (1977-2001) from the station of Banjar Agung, Gisting and Gunung Batu. This research used secondary rainfall data from Tanggamus, This study change the series of daily rainfall data into the sepektrum rainfall using FFT (Fast Fourier Transform). Periodicity of daily rainfall data were presented by using 512 rainfall. Stochastic series of rainfall data are assumed as the difference (error) between the rainfall data with periodic rainfall model. Results of this study is the correlation coefficient from three rainfall stations In this study, the correlation coefficient (R) between the data and the periodic model is 0,9974, between stochastic data series and stochastic models is 0,9996, and between data and periodic stochastic models is 0,99997. From these results it can be concluded that the periodic stochastic models of rainfall from Tanggamus periodic models using 512 rainfall data, the approach provides a very significant.
PEMODELAN PERIODIK DAN STOKASTIK CURAH HUJAN HARIAN DARI WILAYAH PRINGSEWU Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 19, No 3 (2015): Edisi Desember 2015
Publisher : UNIVERSITAS LAMPUNG

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Abstract

This research are intended to study the periodic and stochastic modeling of daily rainfalls. The study was carried out using data of daily rainfall with a length of 16 years (1991 – 2006) from Podorejo, Fajar Esuk, and Panutan rainfall stations. The rainfall series used is assumed to be free of trend. In this research data series were converted into series of rainfall sepektrum using FFT (Fast Fourier Transform). Periodicity of daily rainfall data is presented using 253 periodic com- ponent. Stochastic rainfall series of rainfall data is assumed as the difference (error) between the rainfall data with periodic rainfall model using data length of 512 days. Based on the data series, stochastic component were calculated using the approach of the autoregressive model. Stochastic models presented here are by using an autoregressive model of third order. The results of this research is the value of the correlation coefficient of the three stations. For this study, the average correlation coefficient (R) between data and periodic model is about 0,9770, between data and stochastic model is 0,9979, and between the data and the periodic stochastic model is 0,99991. From these results, it can be concluded that periodic stochastic model of the rainfall from Pringsewu area that processing model using 253 components, presented a very sig- nificant approach.
Halaman Muka Jurnal Rekayasa Edisi April 2010 Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 14, No 1 (2010): Edisi April Tahun 2010
Publisher : UNIVERSITAS LAMPUNG

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Abstract

Halaman Muka Jurnal Rekayasa Edisi April 2010
PEMODELAN PERIODIK DAN STOKASTIK CURAH HUJAN KOTA BANDAR LAMPUNG Ahmad Zakaria; Kartini Susilowati; Rasimin Rasimin
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 18, No 1 (2014): Edisi April 2014
Publisher : UNIVERSITAS LAMPUNG

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Abstract

This research aims to study the periodic and stochastic modeling of daily precipitation data series. The study was carried out using data of daily rainfall data with a length of 13 years (1987 – 2000) from Pahoman, Sumur Putri, and Sumber Rejo rainfall stations. The rainfall series used is as- sumed to be free from the influence of the trend. This research use how to convert data into time series sepektrum rain precipitation using program FFT (Fast Fourier Transform). Periodicity of daily rainfall data is presented using a periodic component 512. Stochastic rainfall series of rain- fall data is assumed as the difference (error) between the rainfall data with periodic rainfall model using 512 components. Based on the data series on stochastic stochastic component, calculated using the approach of the autoregressive model. Stochastic models presented by using a autore- gressive model of order two. The results of this research is the value of the correlation coefficient of the average precipitation three stations. For this study, the average correlation coefficient (R) between data and model of 0,9719 is periodic, between data and stochastic model is 0,9974, and between the data and the model with stochastic is 0,9974. From these results it can be concluded that periodic stochastic model of the rainfall of the Bandar Lampung City that processing model using 512-series compo- nents, presented a very significant approach.
Sampul Muka Jurnal Rekayasa Edisi April 2015 Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 19, No 1 (2015): Edisi April 2015
Publisher : UNIVERSITAS LAMPUNG

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Sampul Muka Jurnal Rekayasa Edisi April 2015
Sampul Muka Jurnal Rekayasa Edisi Desember 2013 Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 17, No 3 (2013): Edisi Desember 2013
Publisher : UNIVERSITAS LAMPUNG

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Abstract

Sampul Muka Jurnal Rekayasa Edisi Desember 2013
Model Stokastik Curah Hujan Harian dari Beberapa Stasiun Curah Hujan di Way Jepara Ahmad Zakaria; Margaretta Welly; Mirnanda Cambodia
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 19, No 2 (2015): Edisi Agustus 2015
Publisher : UNIVERSITAS LAMPUNG

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Abstract

This research was conducted to study and know the characteristics of periodic and stochastic models of daily rainfall in the Way Jepara. This study used secondary data, namely daily rainfall data with a data length of 13 years (1997-2013) from the station Braja Arjosari, Braja Indah, and Jepara Lama. In this study , daily rainfall data is processed into the form of time series before it was trans- formed into the spectrum of rainfall using the program FFT (Fast Fourier Transform). One year of daily rainfall data periodicity, only used 512 rainfall data are periodic. Spectrum rainfall pro- duce data series stochastic rainfall is assumed as the difference (error) between the actual rainfall data with periodic rainfall models. Based on data from the series of stochastic, the stochastic com- ponent is calculated using the approach of autoregressive models. Stochastic model generated us- ing the least squares method (least square method) or autoregressive model of order three. Vali- dation of stochastic series between the measured data and the model is done by calculating the correlation coefficient. From the research, the correlation coefficient obtained an average of three stations of the daily rainfall. Value of the average correlation coefficient ( R ) between the data with a model pe- riodic rainfall amounted to 0.97305, the data series is stochastic and stochastic models of 0.99150, and between data and periodic stochastic models are at 0.99963. From the results, it can be concluded that the periodic stochastic models of rainfall Way Jepara region gives very accurate results and the approach significantly.
Co-Authors Ahmad Herison Dharmawan Setioko Dwi Nanda Putra Hartoto Dyah Indriana Kusumastuti edwin faisol hasyimzoem Endro Prasetyo Wahono Firman Syahruli Gatot Eko Susilo Geleng Perangin Angin Kartini Susilowati Lusmeilia Afriani Margaretta Welly Mirnanda Cambodia Qodri Ismail Rasimin Rasimin Rian Alfian Romi Fadly Sumiharni Sumharni Sumiharni Sumiharni Syah, Aminudin Tiara Maelta Amanda