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Nilai-Nilai Ketauhidan: Telaah Strategi Pembelajaran Bahasa Arab Berbasis Ilmu Tauhid Aisha Nurul Azkia; Andini Br Sembiring; Aulia Nazwa Panjaitan; Bela Wahyuni Manurung; Juliana Juliana; Laila Attiyah Ramadhani Sitorus; Muhammad Harits Hudzaifah Pohan; Najwa Azizah Husnan Tengku; Nurazizah Dawamah; Sindy Nurhaliza; Sri Nurhalijah; Tasya Rahmatika Basitu; Zaki Fadhillah
Alahyan Jurnal Pengabdian Masyarakat Multidisiplin Vol. 3 No. 2 (2025): Nopember
Publisher : PT. Alahyan Publisher Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61492/ecos-preneurs.v3i1.267

Abstract

The common problem that occurs in education is the failure to achieve educational goals. This problem also occurs in Arabic language learning caused by the lack of utilization and lack of improvisation of strategies in the learning process. The existing strategy seems menotonous and results in a lack of student interest in Arabic. For this reason, it is necessary to have a strategy in learning in order to increase the impetus for learning so that it can improve cognitive and intellectual abilities. The aspect of tawhid is the belief in God without associating it. This principle is the main purpose of the teachings brought by the Prophet Muhammad SAW. This research aims to find out the methods and strategies in Tawhid-based Arabic language learning. The results of the research conducted show that the need for a special strategy in instilling the value of tawhid through Arabic language learning. This is an effort to provide an understanding that everything in this world is related to Allah SWT, including in the field of education. And so that students can have good morals and manners in everyday life because they always feel watched by God the creator.
Perbandingan Akurasi Prediksi Penjualan Energi Listrik Rumah Tangga di Kota Medan Menggunakan Metode SARIMA dan LSTM Juliana Juliana; Ismail Husein
JISTech (Journal of Islamic Science and Technology) Vol 11, No 2 (2026)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v11i2.31483

Abstract

Penelitian ini bertujuan mengevaluasi dan membandingkan kemampuan Seasonal Autoregressive Integrated Moving Average (SARIMA) dan Long Short-Term Memory (LSTM) dalam melakukan peramalan penjualan energi listrik rumah tangga di Kota Medan. Data yang dianalisis berupa data bulanan Januari 2012 sampai Desember 2025 dengan total 168 observasi. Prosedur penelitian mencakup pra-pemrosesan data, pengisian nilai yang tidak tersedia melalui interpolasi linier, pengujian kestasioneran, pembentukan model SARIMA dan LSTM, serta pengukuran akurasi menggunakan Root Mean Square Error (RMSE), Mean Absolute Error (MAE), dan Mean Absolute Percentage Error (MAPE). Hasil analisis menetapkan SARIMA (0,1,2)(1,1,1)₁₂ sebagai model SARIMA terpilih dengan AIC sebesar 2.332,24. Nilai evaluasi SARIMA adalah RMSE 11.094,01, MAE 8.703,92, dan MAPE 10,47%, sedangkan LSTM menghasilkan RMSE 4.392,05, MAE 3.391,29, dan MAPE 3,91%. Karena menghasilkan kesalahan prediksi yang lebih kecil, LSTM ditetapkan sebagai model dengan kinerja terbaik dan digunakan untuk meramalkan penjualan selama 12 bulan pada tahun 2026.