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All Journal JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) AT TARIIZ : Jurnal Ekonomi dan Bisnis Islam
Baharman Supri
Universitas Andi Djemma
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other

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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%.
KEPEMIMPINAN KEWIRAUSAHAAN DALAM PENGUATAN DAYA SAING UMKM DI INDONESIA: KAJIAN DATA SEKUNDER Baharman Supri; Saenab
AT TARIIZ : Jurnal Ekonomi dan Bisnis Islam Vol 5 No 03 (2026): AT TARIIZ : JURNAL EKONOMI DAN BISNIS ISLAM
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/attariiz.v5i03.2876

Abstract

Micro, small, and medium enterprises (MSMEs) constitute the backbone of Indonesia’s economy, yet their upgrading and competitiveness remain constrained by a low entrepreneurship ratio, limited innovation, financing, and market access. This study aims to analyze the role of entrepreneurial leadership in strengthening MSME competitiveness in Indonesia. The study employs a descriptive qualitative approach through a literature review and secondary data analysis from the Ministry of Cooperatives and SMEs, the Coordinating Ministry for Economic Affairs, national regulations, and reputable journal articles. Data were analyzed through content and thematic mapping based on four dimensions of entrepreneurial leadership: opportunity-based vision, innovation, risk-taking, and proactiveness through resource orchestration. The findings indicate a national entrepreneurship ratio of 3.47%, digital adoption of approximately 24 million MSMEs, a banking credit share of 19.97%, and an export contribution of 15.7%. These conditions indicate suboptimal entrepreneurial leadership. Strengthening leadership capacity, digital innovation, financing access, and resource orchestration is essential to improve MSME competitiveness.
Co-Authors Abdurohim Abdurohim Badriatul Mawadah Helmi Ali Rudianto Rudianto Saenab