IJISTECH
Vol 5, No 4 (2021): December

Prediction of Rainfall Intensity as Early Warning Information on Potential Landslides using Fuzzy Logic (Case Study West Lampung Regency)

Daniel Rinaldi (Informatics Engineering Study Program, Institut Teknologi Sumatera)
Rahman Indra Kesuma (Informatics Engineering Study Program, Institut Teknologi Sumatera)
M. Yafi Fahmi (Informatics Engineering Study Program, Institut Teknologi Sumatera)
Winda Yulita (Informatics Engineering Study Program, Institut Teknologi Sumatera)
Mugi Praseptiawan (Informatics Engineering Study Program, Institut Teknologi Sumatera)
Aidil Afriansyah (Informatics Engineering Study Program, Institut Teknologi Sumatera)

Article Info

Publish Date
30 Dec 2021

Abstract

Landslides always happened in West Lampung Regency yearly, which makes early warning information of landslides is needed. There are many factors which can cause landslide, one of the important factors is rainfall intensity, which can be predicted. The prediction of rainfall intensity can be obtained by using fuzzy logic. The fuzzy logic used in this research is Mamdani, and this research show the similar result for most data which means that fuzzy logic might not be suitable to be used to forecast the rainfall if the obtained data has lots of missing values.

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Journal Info
IJISTECH
Website

Abbrev

ijistech

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

Description

IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: ...