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All Journal El Dinar Kurva S : Jurnal Keilmuan dan Aplikasi Teknik Sipil Indonesian Journal of Artificial Intelligence and Data Mining EQUILIBRIUM: Jurnal Ilmiah Ekonomi dan Pembelajarannya Jurnal Ilmu Kesehatan JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) Etihad: Journal of Islamic Banking and Finance Penamas: Journal of Community Service Borneo International Journal of Islamic Studies Journal of Islamic Economics and Business
Rahmah, Fitria
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Monetary Dynamics: Comparative Analysis of the Dual Policies of Malaysia and Indonesia Rahmah, Fitria; Ariyanti, Rini; Handika, Dwi; Parlina, Tika
Journal of Islamic Economics and Business Vol. 5 No. 2 (2025): Journal of Islamic Economics and Business
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jieb.v5i2.48830

Abstract

Economic stability is a key indicator of macroeconomic health, directly influenced by the effectiveness of monetary policies implemented by national authorities. This study investigates the monetary dynamics and the impact of dual monetary policies on economic stability in Malaysia and Indonesia. Dual monetary policy involves the simultaneous application of both conventional and sharia-based instruments to achieve macroeconomic objectives such as price stability, economic growth, and inflation control. The study employs Partial Least Squares Structural Equation Modeling (SEM-PLS) with Multi-Group Analysis (MGA) to compare the effectiveness of these policies between the two countries using quarterly data from 2016 to 2024. The results indicate that dual monetary policies significantly influence economic stability in both countries, albeit with different leading instruments. In Indonesia, the Minimum Reserve Requirement (GWM) is the most influential component, while in Malaysia, the Discount Rate holds the most weight. However, no statistically significant differences were found between the two contexts. These findings highlight the strategic importance of integrating conventional and sharia-based instruments to enhance economic resilience in dual financial systems.
Application of Categorical Boosting Model in Classifying Diseases of Tomato Leaves Rahmah, Fitria; Annisa, Selvi; Anggraini, Dewi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 9, No 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v9i1.38869

Abstract

Tomatoes are a strategic horticultural commodity whose productivity is often hampered by leaf diseases, particularly early blight and late blight. Manual identification through visual inspection is often inaccurate due to the similarity of symptoms between diseases. This study aims to improve the performance of tomato leaf disease classification using machine learning by overcoming the limitations of previous research by Ningsih et al., which focused solely on disease classes and did not include healthy leaf samples, thereby risking the model failing to recognize normal plant conditions. The proposed methodology integrates the VGG16 architecture as a feature extractor with the Categorical Boosting (CatBoost) algorithm as a classifier. The dataset sourced from Kaggle was cleaned and resized to 224x224 pixels, resulting in 3,285 images. The experimental results show that integrating VGG16 with CatBoost achieves good performance. The accuracy score achieved is 93.1%, while the F1 scores achieved are 90.2% (healthy leaves), 90.3% (early blight), and 98.6% (late blight). Compared to the research by Ningsih et al., this approach not only expands the scope of classification by including the healthy leaf class, but also shows better accuracy in identifying the health conditions of tomato plants.
Co-Authors Amalia, Rika Ariyanti, Rini Darmawati Darmawati Dewi Anggraini Eswan, Eswan ESWAN, TUKIMUN, Handika, Dwi Hasanah, Fadhilatul Kusuma, Agus Adhi Maedianda, Muhammad Muhammad Farhan Norvadewi Nurul Fadhilah Salsabila, Maysa Selvi Annisa Tika Parlina Tikawati Tikawati, Tikawati Toruan, Vera Madonna Lumban Yudia, Riries Choiru Pramulia