Article Per Year (5 Year)
p-Index From 2021 - 2026
1.037
P-Index
This Author published in this journals
All Journal International Journal of Educational Review, Law And Social Sciences (IJERLAS) Jurnal Ilmiah Ekonomi Terpadu Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Miftahul Jannah
Universitas Malikussaleh
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pengaruh Inflasi dan Pendapatan Perkapita terhadap Konsumsi Rumah Tangga di Provinsi Aceh Fanny Nailufar; Miftahul Jannah; Reza Juanda
Jurnal Ilmiah Ekonomi Terpadu (Jimetera) Vol 2, No 2 (2022): JURNAL ILMIAH EKONOMI TERPADU
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jimetera.v2i2.5876

Abstract

This study examined and analyzed the influence of inflation rate and per capita income on household consumption in Aceh province. This study used secondary data accessed on the Central Bureau of Statistics for 12 years (2009-2020). The method of data analysis used was the Multiple Linear Regression analysis method using Eviews 10. The results study indicated that inflation had no significant effect on Household Consumption in Aceh Province, and Per capita income had a positive and significant effect on Household Consumption in Aceh Province. Simultaneously, Inflation and Per capita Income had a significant effect on Household Consumption in Aceh Province
Application of Long Short-Term Memory (LSTM) Algorithm in Predicting Forex Trading Price Movements on the USD/JPY Pair Miftahul Jannah; Wahyu Fuadi; Zahratul Fitri
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

The foreign exchange (Forex) market offers the potential for high profits but also great risks through currency pair trading. This research proposes the use of the Long Short-Term Memory (LSTM) algorithm, a type of Recurrent Neural Network (RNN), to predict forex price movements for the USD/JPY (American Dollar to Japanese Yen) currency pair based on daily data over a two-year period. The model was designed with a “sequential” architecture consisting of two LSTM layers with 100 units each, followed by a Dropout layer to reduce overfitting and a Dense layer to generate predictions. The total model has 365,905 parameters, with 121,301 parameters trained. During training, model evaluation showed that the combination of batch size 16 and epoch 150 resulted in an RMSE of 0.9840, indicating high accuracy. The application of the model also resulted in an RMSE value of 1.04 and a MAPE of 0.56%, with an average accuracy of 99.44%, indicating a prediction accuracy that successfully follows the actual price trend and is effective in capturing forex price movement patterns in the USD/JPY currency pair, thereby supporting future trading decisions.
EXPLORING THE KEY DETERMINANTS OF ENTREPRENEURIAL INTEREST: AN EMPIRICAL STUDY AMONG STUDENTS OF THE FACULTY OF ECONOMICS AND BUSINESS, MALIKUSSALEH UNIVERSITY Miftahul Jannah
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 4 (2025)
Publisher : CV. RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i4.3631

Abstract

This study aims to analyze the factors influencing entrepreneurial interest among students at the Faculty of Economics and Business, Malikussaleh University. The sample consisted of 120 students from various majors, predominantly from Entrepreneurship, Management, and Accounting programs. A multiple linear regression analysis was employed, with entrepreneurial interest as the dependent variable and independent variables including self-confidence, family support, business knowledge, risk tolerance, entrepreneurial skills, and campus support. The analysis revealed that selfconfidence (coefficient = 0.393432) and family support (coefficient = 0.468088) significantly positively impact entrepreneurial interest, while risk tolerance (coefficient = -0.424534) demonstrated a significant negative relationship. These findings underscore the importance of strengthening social support and enhancing self-confidence to facilitate entrepreneurial interest among students. This study recommends that educational institutions enhance programs that foster entrepreneurial skills and social networks to boost students' interest in entrepreneurship.
Co-Authors Fanny Nailufar Muliani Muliani Reza Juanda Wahyu Fuadi Zahratul Fitri Zulpikar Zulpikar