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All Journal Specta Journal of Technology Majalah Ilmiah Matematika dan Statistika (MIMS)
Fitria, Irma
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Environmental Science Mathematics

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Prediksi Emisi CO2 dengan Analisis Runtun Waktu Hasanah, Primadina; Fitria, Irma
SPECTA Journal of Technology Vol 1 No 1 (2017): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v1i1.72

Abstract

Global warming is caused by various factors, one of them is the emission of CO2. Time series data of CO2 emission will be analyzed using moving average and exponential smoothing to forecast the CO2 emission of the period ahead. Both models provide estimates of forecasting based on the average value of the previous data and can be used for forecasting time series data containing trend component. The best models are selected based on the smallest error value based on the criteria of MAPE, MSD, and MAD
Penerapan Algoritma Kalman Filter dalam Prediksi Kecepatan Angin di Kota Balikpapan Fitria, Irma; Hasanah, Primadina
SPECTA Journal of Technology Vol 1 No 2 (2017): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v1i2.78

Abstract

One of the climate?s elements that has an influence on daily activities is the wind speed. Wind is a movement of air that flows from high pressure to low pressure region. In the shipping and aviation, wind speed is a very important thing to predict. This is due to the wind speed is very influential on the process of the transportation activities. A strong wind can disturb the fluency of transportation. Therefore, information regarding the wind speed prediction is very important to know. In this paper, Kalman Filter algorithm is applied in the wind speed prediction by taking the case in Balikpapan. In this case, the Kalman Filter algorithm is applied to improve the result of ARIMA prediction based on error correction, so we get the prediction result, called ARIMA-Kalman Filter. Based on the simulation result in this study, it can be shown that the prediction result of ARIMA-Kalman Filter is better than ARIMA?s. This is known from the level of accuracy from ARIMA-Kalman Filter, which increased about 65% from ARIMA result.
MODEL MATEMATIKA MENGENAI KESADARAN MASYARAKAT DALAM PERILAKU HIDUP BERSIH DAN SEHAT DI KOTA SAMARINDA Pancahayani, Sigit; Arti, Rissa Putri; Fitria, Irma; Subchan, Subchan
Majalah Ilmiah Matematika dan Statistika Vol 20 No 2 (2020): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v20i2.19647

Abstract

Samarinda is one of the big city in Kalimantan since it is a capital city of East Kalimantan Province. Its population is about 988,943 in 2015, but only 28.62 percent of the whole households were applying clean and healthy living behavior. To encourage this behavior to the society, it needs some health promotions to be introduced to them. In order to know the pattern of clean and healthy behaving households with respect to time, so this research is aimed to perform a mathematical model of the implementation of clean and healthy living behavior which involves health promotion. Runge-Kutta is the used model to solve this model. The result informs that the rate of change of the households which implement a clean and healthy life, called as good people, increases for all sub-districts in Samarinda City. In contrast, households that do not know and do not behave clean and healthy life, called as bad people, are reduced because of the promotion. Keywords: clean and healthy living behavior, health promotion, modeling mathematics.
Co-Authors Arti, Rissa Putri Pancahayani, Sigit Primadina Hasanah S. Subchan