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All Journal Jurnal Varian Jurnal Pengabdian Masyarakat Indonesia
Dea Alvionita Azka
Institut Teknologi Muhammadiyah Sumatera, Indonesia
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Public Health Social Sciences Other

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Gold Price Fluctuation Forecasting Based on Newton and Lagrange Polynomial Interpolation Andika Ellena Saufika Hakim Maharani; Dea Alvionita Azka; Darlena Darlena
Jurnal Varian Vol 7 No 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i1.3230

Abstract

Gold is a highly valuable commodity and an investment opportunity for many people. However, there are often significant fluctuations in gold prices that affect investment decisions. Various mathematical forecasting methods have been developed to anticipate gold price fluctuations. This study uses historical daily data of gold prices during January-May 2023. The method used in this study is the Newton and Lagrange polynomial interpolation method with several orders to analyze data and forecast gold price fluctuations. The purpose of this study is to compare the performance and accuracy of the order levels of the Newton and Lagrange polynomial interpolation forecasting models. In this study, the test data points and orders are selected so that a range is formed that matches the amount of data available. The test orders used in this study include orders 2, 3, 5, 6, and 10. This study found that the 2nd order polynomial interpolation method is more effective and accurate in forecasting gold price fluctuations compared to the higher orders tested. This is indicated by the results of the calculation of MAE, RMSE, and MAPE values in 2nd order polynomial interpolation which are smaller than in 3rd, 5th, 6th, and 10th order polynomial interpolation. This suggests that a polynomial of 2nd order has been able to model and forecast gold price fluctuations well. However, it is important to remember that these conclusions are based on the data and methods used in this study. Variability in forecasting results can occur depending on the quality of the data, the time period used, and the interpolation method applied, among others. Therefore, further research and wider testing needs to be conducted to validate these conclusions.
Mentoring Instrumen Lamemba untuk Perguruan Tinggi Muhammadiyah Aisiyah secara Online Dwi Cahyono; Triono Triono; Muhammad Yazir; Nopa Dwi Saputra; Dea Alvionita Azka; Evi Lestari; Muhammad Bayu
Jurnal Pengabdian Masyarakat Indonesia Vol 3 No 4 (2023): JPMI - Agustus 2023
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.1185

Abstract

Mentoring instrumen Lamemba dilakukan untuk mengetahui sejauhmana Perguruan Tinggi Muhammadiyah dan ‘Aisyiyah memahami poin-poin yang harus dilengkapi dalam proses akreditasi nantinya, juga untuk mengetahui sejauhmana kesiapan masing-masing Perguruan Tinggi dalam menghadapi proses akreditasi. Mentoring instrumen Lamemba dilakukan secara daring melalui aplikasi Zoom, dan diikuti oleh perwakilan dari masing-masing Peguruan Tinggi Muhammadiyah dan ‘Aisyiyah seluruh Indonesia. Kegiatan ini diikuti oleh 40 peserta yang berasal dari Perguruan Tinggi Muhammadiyah dan ‘Aisyiyah. Hasil dari kegiatan ini menyimpulkan bahwa masih banyak Perguruan Tinggi Muhammadiyah dan ‘Aisyiyah yang belum paham tentang instrumen-instrumen yang harus dipersiapkan pada proses Akreditasi di Lamemba, terutama Perguruan Tinggi yang baru. Dengan mentoring yang dilakukan, diharapkan setiap Perguruan Tinggi Muhammadiyah dan’Aisyiyah dapat benar-benar memantapkan persiapan menuju peroses akreditasi dan dapat memperoleh hasil yang maksimal pada saat akreditasi nantinya.
Co-Authors Andika Ellena Saufika Hakim Maharani Darlena Darlena DWI CAHYONO Evi Lestari Muhammad Bayu Muhammad Yazir Nopa Dwi Saputra Triono Triono