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All Journal EIGEN MATHEMATICS JOURNAL Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
Monika, Ines
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Computer Science & IT Mathematics

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Peramalan Jumlah Wisatawan Kabupaten Belitung Menggunakan Simulasi Monte Carlo Marcelina, Elen; Agustin, Tria; Luthfiyaturrohmah, Khilma; Octaviani, Julia; Pramita, Agnes; Monika, Ines; Dalimunthe, Desy Yuliana; Nasrun, Aja
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25153

Abstract

One of Indonesia's mainstay sectors in receiving foreign exchange is tourism, especially during the Covid-19 pandemic, tourism contributed \$34 billion to state revenue. The tourism sector needs to be developed to support the country's economic growth. One of the priority destinations in Indonesia that can be developed is Bangka Belitung. The purpose of this study is to forecast the number of tourists in Belitung Regency so that it can facilitate the provision of facilities that support the tourism sector as well as promotional strategies to introduce tourist attractions in Belitung Regency to the general public. This study used data on the number of tourists in 2021, 2022, and 2023 in Belitung Regency which was analyzed using the Monte Carlo method. The accuracy of forecasting results is measured based on the Mean Absolute Percentage Error (MAPE) value. The number of tourists from this forecast is in accordance with the pattern of actual tourist data in Belitung Regency.The MAPE value in forecasting the number of tourists in Belitung Regency in 2022 is 21.45\%, which means that the prediction results produced are said to be good, while in 2023 it has an accuracy rate of 7.56\%, which means that the prediction results are said to be very good.
Implementation of Fuzzy Logic Using The Tsukamoto Method to Forecast Gold Price in Indonesia Alviari, Irfaliani; Monika, Ines; Sarina, Sarina; Saputra, Lianda; Prayanti, Baiq Desy Aniska
Eigen Mathematics Journal Vol 8 No 1 (2025): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i1.251

Abstract

In the economy, gold is a commodity that has an important role. This indicates that gold is often used as an investment for investors and people involved in the business world. This research aims to determine how accurate gold price forecasting is using the Tsukamoto fuzzy method in Indonesia. Gold prices are influenced by several factors. These factors include exchange rates, interest rates, inflation, etc. Based on research results, fuzzy Tsukamoto determined the price of gold with a forecasting truth value of 99.91611654% and a MAPE value of 0.083883458%. The conclusion of this research is forecasting gold prices using the Tsukamoto fuzzy method is considered very good.
Co-Authors Agustin, Tria Alviari, Irfaliani Baiq Desy Aniska Prayanti Desy Yuliana Dalimunthe, Desy Yuliana Luthfiyaturrohmah, Khilma Marcelina, Elen Nasrun, Aja Octaviani, Julia Pramita, Agnes Saputra, Lianda Sarina Sarina