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The dynamic fluctuations in stock prices present a major challenge for investors in making informed decisions. To anticipate such uncertainties, forecasting methods that can provide accurate predictions are required. This study compares two time series forecasting methods Autoregressive Integrated Moving Average (ARIMA) and Double Exponential Smoothing (Holt) in predicting the stock prices of PT Telkom Indonesia (TLKM). The dataset consists of monthly closing prices from January 2018 to December 2023. The performance of each model is evaluated using three error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The results show that the ARIMA(1,1,1) model yields higher predictive accuracy than the Holt method, with MAE of 787.71, MSE of 771,844.2, and RMSE of 878.55. In contrast, the Holt method records a MAE of 837.19, MSE of 878,393.4, and RMSE of 937.23. These findings confirm that ARIMA is superior in capturing the complex patterns of stock price movements and is more effective in volatile market conditions such as the stock exchange.

This study examines Fazlur Rahman’s double movement paradigm as a methodological framework for renewing contemporary Islamic thought. The background of this research lies in the ongoing crisis of Islamic epistemology, marked by the dominance of textual-literal interpretations that are detached from historical context, as well as modernist approaches that often lack strong Islamic methodological foundations. This condition has weakened the ability of Islamic thought to respond to modern social, ethical, and intellectual challenges. This research employs a qualitative approach using library research. The primary data consist of Fazlur Rahman’s major works, including Islam, Major Themes of the Qur’an, and Islam and Modernity, while secondary data are drawn from academic journals, books, theses, and previous studies discussing his thought. Data were analyzed through content analysis and interpretative analysis to identify key concepts, methodological patterns, and their implications for contemporary Islamic thought. The findings show that Fazlur Rahman conceptualizes the Qur’an as a source of universal moral values rather than a static legal code. His double movement method emphasizes understanding the Qur’anic text within its historical context and reapplying its moral principles to contemporary realities. This approach positions Rahman within the framework of Islamic neo-modernism, bridging classical Islamic tradition and modern intellectual demands. The study concludes that the double movement paradigm offers a relevant epistemological foundation for renewing Islamic thought, particularly in Qur’anic interpretation, Islamic law, and Islamic education, by promoting contextual, ethical, and critical reasoning.