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Iqro Method A Quick Way To Learn To Read The Holly Al-Qur’an Wahyudin*, Yuyu; Syairozi, Ishak; Qutub, Sayid
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 3 (2023): Juni, socio-economics, community law, cultural history and social issues
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i3.26418

Abstract

The Iqro method is a phenomenal finding from KH. As'ad Humam on how to read the Qur'an. The Iqro method is highly favored by Muslims as it is proven that millions of copies of Iqro books have been printed,this is because the Iqro method has provided a real solution to overcoming illiterate reading of the Qur'an in an easy, simple, practical way.This is the background for writing this theme in the form of articles.The purpose of this research is for readers to get a correct understanding of the meaning of methods, books and teaching materials. So that Iqro book users know the features and advantages.So that readers know the secret behind Iqro's best-selling book sales.This study uses a qualitative / inductive method approach.Researchers will collect data related to themes in various media: the Internet, journals, books, and other sources in Indonesia from 1990M to January 2023M.The collected data will be reviewed and analyzed. Data related to the title will be used, while data that is not important will be reduced.With qualitative / inductive methods, researcher is sure to arrive at correct and accurate conclusions.
Intellectual Education in the Qur'anic Perspective (Analysis of the Qur'an Surah Ali Imran Verses 190-191) Qutub, Sayid
Sinergi International Journal of Islamic Studies Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijis.v1i2.89

Abstract

This research is motivated by the importance of using reason as a means of gaining knowledge. Therefore, it is necessary for the mind to get a good sense education for usefulness in accordance with the understanding of the concept of mind education contained in Ali Imran's letter verses 190-191. This research aims to find out the meaning of reason in an Islamic perspective and analyze the concept of reason education in the perspective of the Al-Qur'an Surah Ali Imran verses 190-191. This research is a descriptive qualitative research study of libraries (library research), by collecting data from various related sources and then analyzing it to draw conclusions. Research studies show that the meaning of reason in the Islamic perspective is a tool used for the thinking process. In this context of thinking, reason has a very important role, because it is able to achieve understanding, knowledge and awareness through stages that are scientific, empirical and philosophical. All of these processes are carried out on the basis of the Al-Qur'an and hadith, with the aim of advancing human life in this world. Meanwhile, the concept of intellectual education in the Al-Qur'an, Ali Imran verses 190-191, emphasizes the importance of using reason to reflect on and understand the signs of the greatness of Allah SWT. which is clearly seen in His creation. In this verse, Allah SWT. calls on people who have reason to observe the universe and the changes that occur in it as proof of His existence and power, both in terms of metaphysics, cosmology, ethics and aesthetics using the tafakkur and tazakkur methods. So that through this concept, perfect reason can be realized according to Islamic teachings.
Penerapan Random Forest Untuk Prediksi Dan Analisis Kemiskinan Handayani, Dwi Nurmelly; Qutub, Sayid
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.512

Abstract

Penelitian ini bertujuan untuk menerapkan algoritma Random Forest dalam memprediksi persentase kemiskinan di Kabupaten Bogor. Dengan menggunakan data deret waktu tahun 2019–2024, model dibangun berdasarkan fitur lag (Lag 1 dan Lag 2) untuk menangkap pola historis fluktuasi kemiskinan. Proses pra-pemrosesan melibatkan normalisasi data dan pembuatan fitur temporal guna meningkatkan akurasi prediksi. Model Random Forest yang dikembangkan memberikan hasil yang cukup baik dengan nilai Mean Absolute Error (MAE) sebesar 0,22%, Root Mean Squared Error (RMSE) sebesar 0,28%, serta koefisien determinasi (R²) sebesar 0,87, menunjukkan bahwa sekitar 87% variasi kemiskinan dapat dijelaskan oleh model. Analisis feature importance mengungkapkan bahwa akses ke layanan kesehatan menjadi faktor terpenting yang memengaruhi tingkat kemiskinan (skor 0,25), diikuti oleh tingkat pendidikan (0,20), pertanian subsisten (0,15), kepadatan penduduk (0,10), dan program bantuan sosial (0,05). Hasil penelitian ini membuktikan bahwa Random Forest efektif sebagai alat prediksi dalam konteks sosial-ekonomi dan dapat mendukung perencanaan kebijakan publik yang lebih tepat sasaran dan berbasis data. Meskipun dataset yang digunakan relatif kecil, penelitian ini memberikan dasar bagi pengembangan model prediksi kemiskinan yang lebih komprehensif di masa depan.