Annisa, Putri Dwi S and Zakaria, Ahmad and Khotimah, Siti Nurul and Romdania, Yuda Analisis Data Curah Hujan yang Hilang dengan Menggunakan Metode Normal Ratio, Inversed Square Distance, Rata-Rata Aljabar dan Linear Regression (Studi Kasus Data Curah Hujan Beberapa Stasiun Hujan Wilayah Lampung Tengah). Jurnal Rekayasa Sipil dan Desain (JRSDD). ISSN 2303-0011

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Rain data is very important and needed in civil engineering calculations, so the completeness of rain data is one of the most important parts in relation to water management planning, water resource management, and development planning, especially for water building plannin. However, it often happens that the data during the recording period at the rain station in an area is incomplete. To complete the incomplete or missing rainfall data, this study conducted a study to predict rainfall data using the Normal Ratio, Linear Regression, Inversed Square Distance, Algebraic Average method. From the results of this study, the modified algebraic average method was obtained as the best method for searching for missing rain data. It is evident from the largest annual average correlation value, namely: 0.301. This value indicates that the relationship between rainfall data and the annual correlation is still weak. This is because the correlation value is still far from 1 (maximum value).

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: SITI NURUL
Date Deposited: 10 Apr 2023 07:11
Last Modified: 10 Apr 2023 07:11

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