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PENERAPAN LOGIKA FUZZY UNTUK MEMPREDIKSI CUACA HARIAN DI BANJARBARU Mahanani, Uli; Fahrudin, Arfan Eko; Nurlina, Nurlina
Jurnal Fisika FLUX Vol 12, No 1 (2015): Jurnal Fisika FLUX Edisi Februari 2015
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v12i1.239

Abstract

Information about the weather is very important because the weather is one of the factors to support the smooth operation and human activities. Along with the development of science and technology, the weather can be predicted by methods based expertise. One method based expertise that can be used to predict the weather is fuzzy logic. Fuzzy logic is a system built by definition, ways of working and a clear description. This study provides a review of daily weather prediction in Banjarbaru using input data of maximum air temperature, air humidity average daily, 24 hours a pressure difference, and product Numerical Weather Prediction (NWP) humidity above a layer of 850 mb, 700 mb and 500 mb. The prediction model is determined by the type of fuzzy logic method Mamdani which will produce output in the form of weather predictionweather conditions in Banjarbaru by category sunny, cloudy, slight rain, moderate rain, and heavy rain. The verification results January 2013 until September 2014 showed the smallest verification value is 56.5% and the value of the largest verification is 88.3%. On average verification in January 2013 to September 2014 was 70.1%. Verification results obtained show that the predicted results with fuzzy logic in this study can be declared fit for use as a daily weather prediction models in Banjarbaru. 
PENGARUH LA NINA DAN EL NINO TERHADAP PENYAKIT DEMAM BERDARAH DENGUE DAN MALARIA DI INDONESIA Indriyati, Liestiana; Mahanani, Uli
EnviroScienteae Vol 20, No 1 (2024): ENVIROSCIENTEAE VOLUME 20 NOMOR 1, FEBRUARI 2024
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v20i1.18877

Abstract

The phenomena of El nino and La nina are closely related to rainfall and its impact on various fields. Rainfall is an element of weather and climate that greatly influences all aspects of life including health, especially mosquito vector-borne diseases in Indonesia such as Dengue  hemorrhagic fever (DHF), malaria, chikungunya, zika, and others. In this regard, an analytical study was carried out on the effect of El nino and La nina on DHF and malaria cases in Indonesia. This paper is the result of data analysis from the study "The Influence of El nino and La nina on Seasonal Variability in South Kalimantan" and the data of DHF and malaria cases obtained from the Data and Information Center of the Ministry of Health of Indonesia. Descriptive analysis was carried out on the trend of DHF and malaria cases fluctuation associated with El nino and La nina phenomena that occurred throughout the time period 2007-2017. El nino and La nina phenomena affect fluctuations in DHF and malaria cases related to increased and decreased of rainfall which affect the growth and development and also the activity patterns of mosquito as vectors of transmitting DHF and malaria. The increase of DHF cases in Indonesia was influenced by "strong" El nino and "moderate" La nina while the increase of malaria cases in Indonesia was more influenced by "strong" and "moderate" La nina events.