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All Journal IQ (Ilmu Al-qur'an): Jurnal Pendidikan Islam Jurnal Informatika: Jurnal Pengembangan IT
Wijaya, Guntur
Unknown Affiliation
Religion Computer Science & IT Education Social Sciences

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Peran Guru Akidah Akhlak Dalam Penanaman Nilai-Nilai Moderasi Beragama Pada Siswa Aziz, Jamil Abdul; Solihin, Ahmad; Wijaya, Guntur
IQ (Ilmu Al-qur'an): Jurnal Pendidikan Islam Vol. 7 No. 02 (2024): IQ (Ilmu Al-qur’an): Jurnal Pendidikan Islam
Publisher : Fakultas Tarbiyah dan Ilmu Tarbiyah, Universitas PTIQ Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37542/mspqb733

Abstract

Tolerant behavior towards existing comparisons, and openness in accepting diversity are moderate thoughts in Islam. But moderation is often misinterpreted in the context of religion in Indonesia. Religious moderation has important values ​​such as perspective, behavior, and attitude of always taking a position in the middle, always playing a fair role, and not being extreme in religion, religious diversity is the strongest in forming radicalism. The emergence of extreme groups that continue to spread their wings is influenced by various things such as the sensitivity of religious life, with the existence of Islamic sciences that are disseminated, namely Islamic sciences that have a nuance of moderation. Religious moderation behavior shows a tolerant attitude, respects every difference of opinion, respects diversity, and does not impose the will in the name of religious understanding by means of violence. This study uses a qualitative approach with a type of field research. While the data collected are in the form of primary and secondary data, data collection techniques are carried out by observation, interviews and documentation. From this study, the author got several conclusions, namely: The instillation of moderation values ​​in the learning of Aqidah Akhlak was carried out by the Aqidah Akhlak teacher, namely the value of tolerance instilled through learning. Meanwhile, for fair values, it is instilled by the Aqidah Akhlak teacher directly giving examples to students. This requires intensive supervision time to be able to find out the impact directly, while from the student's side, the impact of instilling these values ​​is shown through polite and courteous attitudes and respect. from instilling these values ​​is shown through polite and courteous attitudes and respect.
Kombinasi Model ARIMA dan KNN Dalam Peramalan Harga Produk Wijaya, Guntur
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 1 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i1.10163

Abstract

This study proposes a product price forecasting model for PT ABC by integrating the Autoregressive Integrated Moving Average (ARIMA) model and the K-Nearest Neighbor (KNN) method into a hybrid predictive approach. The company faces recurring challenges related to product price fluctuations and stock availability caused by unstable market conditions and irregular supply distribution. To address these issues, a data-driven forecasting model is required to support inventory planning and price stabilization strategies. The dataset used in this study consists of historical cement purchase records from January 2023 to September 2025, obtained from the company’s ERP system. The research process includes data cleansing, transformation, monthly price aggregation, and the application of ARIMA, KNN, and a hybrid ARIMA–KNN model designed to improve forecasting accuracy. The evaluation results indicate that the hybrid ARIMA–KNN model outperforms the standalone ARIMA model in short-term price forecasting. Based on three performance metrics, the hybrid model achieved a Mean Absolute Error (MAE) of 1604.94, a Root Mean Square Error (RMSE) of 2299.37, and a Coefficient of Determination (R²) of 0.2881. These results suggest that while the model captures a portion of price variability, it still faces limitations in modeling non-linear fluctuations and sudden extreme changes. Nevertheless, the hybrid approach demonstrates improved stability by reducing extreme prediction variations, maintaining trend continuity, and generating smoother prediction curves that more closely align with actual price movements. This research contributes practically by providing PT ABC with a forecasting tool to support future price estimation, improve inventory management, and maintain market price stability. Additionally, the findings offer a foundation for future research on advanced non-linear and deep learning–based forecasting models.
Co-Authors Ahmad Solihin Jamil Abdul Aziz, Jamil Abdul