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All Journal Jurnal Ilmu Dasar JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat JKM (Jurnal Kebidanan Malahayati) Idaarah: Jurnal Manajemen Pendidikan Specta Journal of Technology Majalah Ilmiah Matematika dan Statistika (MIMS) International Journal of Educational Management and Innovation (IJEMI) LOSARI: Jurnal Pengabdian Kepada Masyarakat INDONESIAN MIDWIFERY HEALTH AND SCIENCES JOURNAL JUBIDA-Jurnal Kebidanan SmartComp Indonesian Journal of Science, Technology, Engineering, Art, and Mathematics Education Jurnal Abdimas Kesehatan Jurnal kiprah pendidikan Smart Humanity: Jurnal Pengabdian Masyarakat
Fitria, Irma
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Journal : Specta Journal of Technology

 1 
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.
Analisis Peramalan Inflasi Di Kota Balikpapan Menggunakan Metode ARIMA Lembang, Gebryani Rante; Silfiani, Mega; Fitria, Irma
SPECTA Journal of Technology Vol. 7 No. 3 (2023): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v7i3.1026

Abstract

Uncontrolled inflation is one of the problems in a country's economy. This is because inflation is used as a reference for monetary policy. However, controlling the inflation rate is relatively difficult to do. Therefore, an accurate inflation rate forecast is needed so that it can predict future inflation. This research aims to predict future inflation using the ARIMA method. The data used in this research is inflation in Balikpapan City from January 2016 to December 2022. From the analysis results, the best ARIMA method for predicting inflation in Balikpapan City is ARIMA([1,2,12],0,[6]) which has an RMSE value of 0.22886. Further research that can be carried out to improve the accuracy of Balikpapan City inflation forecasting is the use of combined methods or adding independent variables that are able to explain Balikpapan City inflation in the future.
Co-Authors Agustina Agustina, Choiriyah Alfianto, Ahmad Alif, Muh. Ikhsan Alif, Muhammad Ikhsan Ardenta, Yuda Raja Arti, Rissa Putri Asfa Niswah, Fazat Atlanta, Talitha B Azahra, Nadia Bayu Nur Abdallah, Bayu Nur Cahyaningtias, S Detavia, Andi Mira Dewi Maritalia Diansa, Alvian Hayyu Erliana, Erliana Euchalypta, Safhira Sekar Fitria, Ona Handayani, Selvian Hanum, Zulfa Herdianti, Putri Herliansyah, Riki Hidayat, Muhammad Afdelpiero Hilwa, Zaitun Hoan, Richard Owen Kartika Nugraheni Kirsan, Aidil Saputra Lembang, Gebryani Rante m rezeki muamar Mawaddah Mawaddah, Mawaddah Mega Silfiani Miftahul Jannah Millah, Nashrul Muhammad Fendrik Mutiarsih, Fatma Nova Nova Nuraina , Nuraina Nurmadiniati, Nurmadiniati Nurwijayanti Padja, Merry Yulianti Pancahayani, Sigit Permana, Dede Primadina Hasanah Putri, Erinda Rahmadani, Nurfadhilah Ramadhani, Karina Raudhati, Sri Retno Wahyu Dewanti Rifa'i, Ahmad Salsabila, Alfiyyah Soemarsono, Annisa Rahmita Subchan, Subchan Sunardi, Hendy Indrawan Syabina, Masayu Sitti Nur Syifa Fuada Tambunan, Herrywati Turrahmi, Alvia Wanta, Firlanda Italis Wardatul Jannah, Wardatul Yuliana Yuliana Zetra Hainul Putra Zulaikah, Eny Lailatul Zulfahmi, Ferri