Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Journal of Engineering and Scientific Research (JESR)
Ahmad Zakaria
Universitas Lampung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
MODEL PERIODIK DAN STOKASTIK DATA PASANG SURUT JAM-JAMAN DARI PELABUHAN PANJANG Ahmad Zakaria
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 19, No 1 (2015): Edisi April 2015
Publisher : UNIVERSITAS LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this study are intended to compare periodic and stochastic tide models generated by using FFT frequencies and astronomic frequencies. The Fourier series are used to simulated peri- odic model, and the autoregressive method is employed to simulate stochastic model. 253 domi- nant 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 the FFT frequencies give more accurate results than periodic and stochastic models by using the astronomic frequen - cies.
Correlation of BMKG with TRMM for daily and monthly rainfall series in Banten region Ahmad Zakaria; Sumiharni Sumiharni
Journal of Engineering and Scientific Research Vol. 4 No. 1 (2022)
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 (1413.154 KB) | DOI: 10.23960/jesr.v4i1.78

Abstract

Daily and monthly rainfall data series are necessary data for planning purposes in Civil Engineering and other fields. Incomplete rainfall data often occurs, so that rainfall data must be estimated based on rainfall data from several other nearby locations. The addition of rainfall data can lead to inaccurate planning. Rainfall data used for planning in the civil engineering sector is usually taken from the BMKG station. This data is taken from the rainfall station above the ground. Besides, that can also produce rainfall data from TRMM. Can take rainfall data from TRMM at all locations according to a coordinate of location. This rainfall data denotes an average rainfall taken from the satellite approximately 250 meters above the ground surface. An equation will be obtained by comparing the daily and monthly rainfall data from the two data sources. Based on TRMM rainfall, we can use the equation to estimate ground rainfall in a location. In this study, daily rainfall, monthly rainfall, the spectrum of daily and monthly rainfall data from BMKG are compared with rainfall and the spectrum of daily and monthly rainfall data from TRMM. The analysis results show that the monthly rainfall data from TRMM and BMKG correlate better than daily rainfall data.
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