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All Journal Malcom: Indonesian Journal of Machine Learning and Computer Science Khazanah: Journal of Islamic Education and Science
Ira Kurniati
Institut Teknologi dan Bisnis Swadharma
Computer Science & IT Education Other

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Penerapan Algoritma Supervised Learning untuk Klasifikasi Data Music Listening: Application of Supervised Learning Algorithm for Music Listening Data Classification Eri Mardiani; Nur Rahmansyah; Ira Kurniati; Andy Setiawan; Diah Widiastuti; Muhammad Ridwan; Muhammad Zidan Rosyid; Ari Febriansyah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 2 (2023): MALCOM October 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i2.879

Abstract

Perkembangan teknologi informasi semakin pesat hingga saat ini terus dikembangkan teknologi-teknologi terbaru, penggunaan data sebagai pengolahan kini semakin banyak diterapkan pada berbagai bidang, dengan penggunaan data dapat dilakukan perkembangan teknologi yang dapat meningkatkankan kualitas dan efisiensi, pengolahan data dapat diterapkan di semua bidang dan salah satunya adalah di bidang musik. Musik sudah menjadi bagian dari kehidupan manusia sehari-hari. Sudah banyak media-media yang menyajikan berbagai macam lagu dengan genre yang beragam pula mulai dari Pop, Jazz, Rock, R&B, dan genre-genre lainnya. Dengan  menggunakan data mining untuk mengolah data maupun menganalisis data-data musik kita dapat memprediksi keanekaragaman preferensi mendengarkan musik dan dengan menggunakan tools aplikasi Orange Data Mining dapat membantu masyarakat untuk mengetahui musik apa saja yang diminat dengan memprediksi melalui beberapa metode dalam tools orange, dengan Algoritma Naive Bayes memiliki tingkat akurasi yang lebih baik.
Integration of Artificial Intelligence Literacy into a Transdisciplinary Curriculum to Enhance Students’ Critical Thinking Skills Ira Kurniati; Maulana Teguh Perdana; Heny Indriani; Laxmi
Khazanah: Journal of Islamic Education and Science Vol. 1 No. 1 (2025): Khazanah: Journal of Islamic Education and Science
Publisher : Institut Bahri Asyiq Galis Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61815/khazanah.v1i1.862

Abstract

This study was motivated by the increasing use of artificial intelligence in higher education, which had not been systematically integrated into the curriculum to support the development of students’ critical thinking skills. The study aimed to analyze the pattern of artificial intelligence literacy integration within a transdisciplinary curriculum and to identify its impact on enhancing students’ critical thinking abilities. A qualitative approach with a case study design was employed in interdisciplinary study programs at a higher education institution. Data were collected through curriculum document analysis, classroom observations, in-depth interviews with lecturers and students, and examination of academic assignments and portfolios. Data were analyzed thematically through processes of data reduction, categorization, data display, and interactive conclusion drawing. The findings indicated that the integration of artificial intelligence literacy, designed through reflective and collaborative pedagogical approaches, contributed to improvements in analytical skills, information evaluation, critical argumentation, and students’ ethical awareness. This study produced a transdisciplinary curriculum-based model of artificial intelligence literacy integration that enriched the development of higher-order thinking skills in higher education contexts.
Co-Authors Andy Setiawan Ari Febriansyah Diah Widiastuti Eri Mardiani HENY INDRIANI Laxmi Laxmi Maulana Teguh Perdana Muhammad Ridwan Muhammad Zidan Rosyid Nur Rahmansyah