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Beyond Drill And Practice: Innovative Strategies For Integrating Behaviorist Principles Into Arabic Vocabulary Learning Hasanah, Amaliyatul; Insaniyah, Anyes Lathifatul
Instructional Development Journal Vol 8, No 2 (2025): IDJ
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/idj.v8i2.36561

Abstract

This research investigates how Behaviorism could help high school students choose Arabic words.  This research will demonstrate how behaviorist teaching approaches affect word learning, therefore offering insightful analysis for theory and practical use.  The Arabic language is taught at MAN 3 Banyuwangi using behaviorism, this research looks at how. It uses a descriptive qualitative approach.  Data were gathered by observing, interviewing, and analyzing documents, and then examined using theme analysis.  Data validation was performed through triangulation, member checking, and peer debriefing to ensure the correctness and trustworthiness of the study results. The implementation of behaviorist learning methods at MAN 3 Banyuwangi has substantially improved the Arabic language and written skills of students, as evidenced by this research.  The drill method facilitates the retention of information through practice, while support enhances students' confidence and motivation. Using game tools like Kahoot and Quizizz helps people understand ideas quickly, makes lessons more engaging, and provides instant feedback, which improves the learning process. Combining technology with traditional methods improves education quality and makes learning more effective and enjoyable
PEMODELAN MATEMATIKA KEKERASAN DALAM RUMAH TANGGA (KDRT) TERHADAP PEREMPUAN DI INDONESIA DENGAN MENGGUNAKAN SOLUSI NUMERIK RUNGE-KUTTA ORDE EMPAT AULIYAK, MAMLUATUL; HASANAH, AMALIYATUL
E-Jurnal Matematika Vol. 14 No. 4 (2025)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2025.v14.i04.p495

Abstract

The high number of domestic violence cases in Indonesia indicates the need for a scientific approach to understand the dynamics of the spread and more systematic control efforts. In this study, model is developed into six compartments, namely ShIRSvHC. In the model, the equilibrium point and stability of the equilibrium point are sought, as well as numerical simulations using the fourth order Runge-Kutta method and the simulation results are compared with actual data for 2020-2024. Evaluation of model accuracy is done by calculating the relative error. The simulation results show that the sub population has decreased every time with a population of about 268,030 women. The I population experienced an increase at the beginning of the period and experienced a significant decrease in the following year, the R population experienced an increase at the beginning to the middle of the period and for the and H, C populations experienced an increase every time.
Sugar Price Prediction in East Java Using the Geometric Brownian Motion Model Hasanah, Amaliyatul
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37063

Abstract

Sugar is a national strategic commodity that plays a vital role in Indonesia's economic stability and food security. East Java, as a major sugar producer, faces fluctuating price dynamics due to various factors, including sugarcane production, supply distribution, refined sugar imports, weather conditions, and the needs of the food and beverage industry. To understand the random price movement patterns, the Geometric Brownian Motion (GBM) model is used because it is able to represent price dynamics through log-normal drift and volatility components. This study aims to predict sugar prices in East Java using the Geometric Brownian Motion (GBM) model to provide insight into price uncertainty and volatility. The study population consists of daily sugar price data in East Java in August-November 2025, with August-October 2025 data as training data and November 2025 data as testing data. Sugar price prediction uses a stochastic modeling approach, implementing GBM through multi-path simulations to capture the shift and volatility parameters of sugar price movements. Sugar price prediction using the GBM model is carried out with 50, 500, and 1000 iterations (paths). The results obtained from the GBM model effectively capture the inherent volatility of sugar prices, producing a Mean Absolute Percentage Error (MAPE) value of 0.0846% for 50 trajectories, 0.0659% for 500 trajectories, and 0.0522% for 1,000 trajectories. These results indicate that the GBM can model sugar price fluctuations in East Java and provide accurate probabilistic estimates.