Ajizah, Imroatul
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TPACK SEBAGAI BEKAL GURU PAI DI ERA REVOLUSI INDUSTRI 4.0 Ajizah, Imroatul; Huda, Muhammad Nurul
Ta'allum: Jurnal Pendidikan Islam Vol 8 No 2 (2020)
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan (FTIK) UIN Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/taalum.2020.8.2.333-352

Abstract

Peserta didik abad 21 merupakan generasi yang paling akrab dengan teknologi dibanding dengan generasi sebelumnya. Dengan mengetahui hal tersebut, penting untuk guru mengintegrasikan teknologi ke dalam pembelajaran guna mengimbangi kebutuhan dan kondisi peserta didik di era saat ini. Namun, pengintegrasian teknologi tidak akan efektif jika tidak dibarengi dengan kemampuan pedagogi dan pengetahuan materi pembelajaran yang memadai, karena ketiga hal tersebut merupakan kerangka yang saling berkaitan satu sama lain. Pandangan transformatif ini menampilkan sifat dinamis dari interkoneksi konten, pedagogi, dan teknologi dalam konteks pendidikan menuju pengembangan pengetahuan yang disebut sebagai TPACK. Penelitian ini menggunakan metode literatur review dengan cara menelusuri berbagai referensi yang berkaitan dengan judul. Hasil temuan menunjukkan bahwa TPACK memiliki peran yang sangat penting sebagai bekal guru dalam pembelajaran PAI. Dengan menguasai TPACK, guru PAI dapat menyajikan pembelajaran yang inovatif dan kreatif, serta efektif di dalam kelas sehingga peserta didik dengan mudah memahami pembelajaran yang sedang berlangsung. Hal ini berdampak pada meningkatnya kualitas pembelajaran PAI.
Pendidikan Moral dalam Permainan Tradisional Cublak-Cublak Suweng Perspektif Psikologi dan Islam Ajizah, Imroatul
An-Nahdloh: Journal of Education and Islamic Studies Vol. 1 No. 2 (2026): Januari 2026
Publisher : Magister Pendidikan Agama Islam (MPAI) Program Pascasarjana, Universitas Islam Raden Rahmat (UNIRA) Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58788/jeis.v1i2.23

Abstract

The traditional game of Cublak-Cublak Suweng is one of Indonesia's cultural heritages, which has valuable cultural meaning. However, a fact shows that most children nowadays prefer to play digital games to traditional games. They are more familiar with some games on their gadget rather than the traditional game, which has more positive effects on children's development. Not only in terms of social development, but also in sensory-motor development and moral development. This article aims to discuss the importance of children playing traditional games as well as examining the process of internalizing moral education contained in the Cublak-Cublak SSuweng gamebased on a psychological and Islamic perspective. Both from a psychological and Islamic perspective are interrelated to one another to form morals and characters who are accustomed to doing good deeds. "This research adopts a literature review method. The findings from the literature were gathered and analyzed through a descriptive-qualitative approach. The results showed that the traditional games of Cublak-Cublak Suweng could be an alternative medium for internalizing moral values​​in children. This traditional game was useful for preserving local wisdom since it contains some elements of movement that can stimulate children’s moral development, such as honesty, discipline, and responsibility, and other positive behaviors.   Keywords: Moral Education, Traditional Game, Cublak-Cublak Suweng
Explainable Artificial Intelligence (xAI) for Reliable Financial Decision-Making in Credit Scoring System Azizah, Nabila Wafiqotul; Ajizah, Imroatul; Muhammad Reza Pahlawan; Mohammad Al Hafidz
IJCONSIST JOURNALS Vol 7 No 1 (2025): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i1.161

Abstract

Finance plays a vital role as one of the key elements necessary for sustaining life. Since financial stability is closely linked to overall well-being, many individuals resort to borrowing from financial institutions. As a result, the increasing number of loan applications has led to a rise in financial burdens and fund congestion within these institutions. To mitigate such risks, credit scoring has become an essential predictive approach widely adopted in financial institutions to evaluate customer creditworthiness. Through credit scoring, institutions can determine whether a customer is eligible to receive a loan. This study employs an open-source dataset obtained from Kaggle and follows the CRISP-DM methodology, which consists of six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The research implements a classification approach by comparing two algorithms—Random Forest Regression and XGBoost. The results show that the Random Forest Regression model performs better, achieving the highest accuracy, recall, and precision, with an AUC value of 0.796 and a Coefficient of Variation (CV) of 0.712