Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Jurnal Manajemen dan Ekonomi Terapan
Baharman Supri
Universitas Andi Djemma
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Asian Stock Index Price Prediction Analysis Using Comparison of Split Data Training and Data Testing Baharman Supri; Rudianto; Abdurohim; Badriatul Mawadah; Helmi Ali
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 9 No. 4 (2023): Agustus 2023
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v9i4.1339

Abstract

This study implements stock index price predictions using the LSTM method, where one of the processes in data management before running with the LSTM method is data split. This study also looks for the most appropriate split data ratio in predicting stock index prices to minimize error rates and differences in forecasted prices and original prices because in previous studies there were several rules of thumb in dividing data, so it is necessary to compare the most appropriate ratios in this research. Based on the evaluation process, the error value was found from nine split data ratios that were run by five ratios which produced a predictive graph line shape that resembled the validation line. Three datasets, namely split data ratios of 80:20, 70:30, and 60:40, are the ratios that get the lowest error values based on the RMSE, MSE, MAPE, and MAE values in the five stock index datasets. The three ratios are then compared again by looking at the average percentage difference between the validation price and the predicted price for the next working day, and it is found that the ratio of 80:20 is the most suitable split data ratio for predicting the stock index price for the next working day, with a level of difference in the average value between the original price and the predicted price on the stock index of 1.3%. While the ratio of 70:30 has an average predicted value of five stock index datasets of 1.9% and a ratio of 60:40 of 1.8%.
Pengaruh Lingkungan Kerja dan Motivasi Kerja terhadap Semangat Kerja Pegawai Pada Kantor Pertanahan Kabupaten Luwu Baharman Supri
Jurnal Manajemen dan Ekonomi Terapan Vol. 1 No. 1 (2023): April 2023
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja dan motivasi kerja terhadap semangat kerja pegawai pada Kantor Pertanahan Kabupaten Luwu. Rentang waktu penelitian 3 bulan yaitu dari bulan Januari sampai dengan Maret 2018. Populasi dalam penelitian ini adalah seluruh pegawai pada Kantor Pertanahan Kabupaten Luwu dengan jumlah 20 orang melalui teknik sampling jenuh. Teknik analisis datanya menggunakan analisis regresi linear berganda. Hasil penelitian diperoleh yaitu (a) hasil uji secara parsial menunjukan bahwa variabel lingkungan kerja dan motivasi kerja berpengaruh terhadap semangat kerja pegawai pada Kantor Pertanahan Kabupaten Luwu. (b) Hasil uji secara simultan juga diperoleh bahwa variabel lingkungan kerja dan motivasi kerja secara simultan berpengaruh terhadap semangat kerja pegawai pada Kantor Pertanahan Kabupaten Luwu dengan persentase pengaruh sebesar 94,80% dan sisanya sebesar 5,20% dipengaruhi oleh faktor lain yang diteliti.
Co-Authors Abdurohim Abdurohim Badriatul Mawadah Helmi Ali Rudianto Rudianto