Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Maps (Manajemen Perbankan Syariah) PAEDAGOGIE
Rahma, Nadya
Unknown Affiliation
Economics, Econometrics & Finance Education Other

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

Found 2 Documents
Search

 1 
Pengaruh Struktur Modal dan Likuiditas terhadap ROA Rahma, Nadya; Asih, Vemy Suci
Jurnal Maps (Manajemen Perbankan Syariah) Vol. 8 No. 2 (2025)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/maps.v8i2.1253

Abstract

This study aims to analyze the influence of capital structure with Debt To Equity Ratio (DER) proxy and Liquidity with Current Ratio (CR) proxy on Return On Assets (ROA) in Bank Negara Indonesia (BNI) for the 2016-2023 period both partially and simultaneously. This type of research is an associative quantitative research, using secondary data obtained in the form of a time series, the sample in this study is the quarterly financial statements of Bank Negara Indonesia (BNI) for the 2016-2023 period. The data analysis technique uses the Classical Assumptions and Multiple Linear Regression method. The results of this study show that Debt To Equity Ratio has a significant effect on Return On Assets, while Current Ratio does not have a significant effect on Return On Assets . Then, the results simultaneously showed that Debt To Equity Ratio  and Current Ratio  had a significant effect on Return On Assets.
Penerapan Algoritma DBSCAN dan XGBoost untuk Menganalisis Keberhasilan Pembelajaran Bahasa Indonesia bagi Penutur Asing (BIPA) di Songsermsasana School, Hat Yai Rahma, Nadya; Maulana, Halim
Paedagogie Vol 21 No 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/paedagogie.v21i1.16185

Abstract

Traditional evaluation of Bahasa Indonesia for Foreign Speakers (BIPA) learning success relies on subjective teacher assessments lacking objectivity. This study aims to integrate DBSCAN and XGBoost algorithms to analyze learning patterns and dominant success factors in BIPA. Quantitative Educational Data Mining (EDM) exploratory approach applied to 200 students population at Songsermsasana School, Hat Yai, Thailand during 27-day KKN, using complete tabular data sample. Instruments include activity scores, class participation, attendance, exam/quiz scores, study time, and question frequency variables; analysis techniques involve preprocessing, DBSCAN clustering (ε=0.5, minPts=5), and XGBoost feature importance. Results reveal three clusters: Cluster 0 (high speaking/writing >80), Cluster 1 (stable receptive skills), Cluster 2 (low attendance), with speaking score (15.89%) and writing score (11.61%) dominant. Hybrid model outperforms K-Means in handling noise. Research provides objective data-driven evaluation for global BIPA teaching personalization.
Co-Authors Halim Maulana Vemy Suci Asih, Vemy Suci