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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

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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.
Analisis Penentuan Lokasi Optimal Stasiun Pengisian Kendaraan Listrik Umum dan Keterjangkauannya Menggunakan Pendekatan Sistem Informasi Geografis dan Machine Learning di Kota Bandar Lampung Aulia Ade Rahayu; Ahmad Zakaria; Rahma Anisa
Prosiding Seminar Nasional Ilmu Teknik Dan Aplikasi Industri Fakultas Teknik Universitas Lampung Vol. 8 (2025): Prosiding Seminar Nasional Ilmu Teknik dan Aplikasi Industri (SINTA) 2025
Publisher : Fakultas Teknik Universitas Lampung

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Abstract

Pertumbuhan kendaraan listrik di Indonesia terus meningkat, namun ketersediaan Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) masih terbatas. Di Kota Bandar Lampung hanya terdapat 10 SPKLU yang sebagian besar terkonsentrasi di pusat kota, sehingga wilayah pinggiran belum terlayani dengan baik. Penelitian ini bertujuan untuk menentukan lokasi optimal pembangunan SPKLU serta mengevaluasi keterjangkauan layanannya melalui analisis spasial. Metode penelitian menggabungkan Sistem Informasi Geografis (SIG) dengan algoritma Multi-Layer Perceptron (MLP). Analisis mempertimbangkan tiga parameter utama, yaitu kedekatan dengan permukiman (shared residential), jalan utama (en-route), dan pusat aktivitas (destination). Model MLP menghasilkan peta area optimal di wilayah pusat maupun luar kota, sedangkan analisis buffer digunakan untuk menilai jangkauan pelayanan SPKLU eksisting. Hasil penelitian menunjukkan dua keluaran utama, yaitu peta sebaran lokasi optimal dan 51 titik SPKLU baru yang direkomendasikan di seluruh wilayah Kota Bandar Lampung. Sebaran tersebut menunjukkan pemerataan infrastruktur dengan minimal dua titik di setiap kecamatan, mencakup area permukiman padat, kawasan pendidikan, jalur transportasi utama, serta zona kegiatan ekonomi. Analisis buffer memperlihatkan bahwa jangkauan pelayanan SPKLU optimal telah mencakup hampir seluruh wilayah dengan radius rata-rata di bawah 2,5 km, sehingga akses masyarakat terhadap fasilitas pengisian daya meningkat secara signifikan. Penelitian ini menegaskan pentingnya pemerataan infrastruktur energi bersih untuk mendukung transisi menuju sistem transportasi rendah emisi di perkotaan.