Achmad Farouq Abdullah
Darunnajah University, Jakarta, Indonesia

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SCHOLAR AI: INNOVATION IN SCHOLARSHIP SELECTION CLUSTERING BASED ELIGIBILITY CLASSIFICATION BASED ON MACHINE LEARNING Tutik Lestari; Achmad Farouq Abdullah; Oddy Virgantara Putra; Onno Widodo Purbo
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7196

Abstract

Scholarship allocation is a crucial process that ensures financial support for students based on academic performance, potential, and financial need. However, the scholarship selection process at Pondok Pesantren Darunnajah has faced challenges in capturing the holistic characteristics of applicants. This research proposes a machine learning model that integrates clustering and predictive techniques to improve the scholarship selection process. The dataset consists of 300 student samples with attributes such as academic scores, tahfidz (Qur'an memorization), family income, and extracurricular activities. These features help determine if a student qualifies for one of three scholarship schemes: Beasiswa Tahfidz, Beasiswa Prestasi, or Beasiswa Ashabunnajah, or if they are deemed "not eligible." The model follows the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework and utilizes machine learning algorithms for classification. To ensure the model's robustness, its performance is evaluated using K-fold cross-validation, with 5-fold validation employed to validate the model's predictions. The results show a high mean validation accuracy of 90.61% and an F1-score of 0.9311, indicating strong generalization capabilities. These findings highlight the model's potential to improve the scholarship allocation process, ensuring scholarships are awarded to the most deserving students based on academic performance, leadership potential, and financial need. Despite its high performance, the study acknowledges limitations such as potential biases in the dataset and challenges in capturing all relevant factors. These issues may affect the overall effectiveness of the model, suggesting room for improvement in addressing the complexity of the selection process.
Multicultural Education in Islamic Boarding Schools: Implementing Islamic Values in Addressing Social Diversity in Indonesia Arizqi Ihsan Pratama Arizqi; Anas Fauzi; Achmad Farouq Abdullah
Edusifa: Jurnal Pendidikan Islam Vol. 10 No. 1 (2026): Edusifa : Jurnal Pendidikan Islam
Publisher : STIT Sirojul Falah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56146/edusifa.v10i1.392

Abstract

Indonesia, as a highly diverse country socially, faces challenges in building a harmonious and inclusive life. Multicultural education becomes a strategic approach to instill attitudes of tolerance and appreciation for differences. Pesantren, as a traditional Islamic educational institution, has great potential in implementing multicultural education based on Islamic values. This article examines how pesantren internalize Islamic values such as rahmatan lil ‘alamin, justice, compassion, and brotherhood in facing social diversity in Indonesia. The research method uses a literature review with descriptive analysis. The study results show that the pesantren integrates multicultural education thru an inclusive curriculum, dialogical teaching methods, a social life that supports interaction among students, and the role of teachers as moral exemplars. However, challenges such as limited resources and resistance to curriculum changes still need to be addressed. Multicultural education in pesantren plays an important role in shaping a generation that is tolerant and capable of living peacefully in a pluralistic society.