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This Author published in this journals
All Journal Malcom: Indonesian Journal of Machine Learning and Computer Science Help: Journal of Community Service (HJCS) Khazanah: Journal of Islamic Education and Science
Ira Kurniati
Institut Teknologi dan Bisnis Swadharma
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences 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.
Community-Based Financial Literacy Interventions for Empowering Micro, Small, and Medium Enterprises in Bangka Belitung Ira Kurniati; Nur Rahmansyah; Indri Damayanti; Lusiana Putri; Sugiyono Sugiyono; Amelia Ayu Nur Aisha; Eri Mardiani
Help: Journal of Community Service Vol. 2 No. 4 (2026): March 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/hjcs.v2i4.254

Abstract

Micro, Small and Medium Enterprises (MSMEs) play a strategic role in driving economic growth and improving community welfare in Belitung Regency, Bangka Belitung Province. However, low levels of financial literacy remain a major obstacle for MSME actors, especially concerning business financial management, transaction recording, and effective financial decision-making. This community service activity adopted a Participatory Action Research (PAR) methodology, conducted as a collaborative training intervention involving the Association of Indonesian Accounting Lecturers (ADAI) and the Belitung Regency Government. The program was attended by 159 participants, including MSME partners, local residents, and regional leaders. The implementation consisted of four systematic stages namely preparation, counseling on simple financial management, interactive discussion and mentoring, and an evaluation utilizing pre-tests and post-tests. The intervention yielded a highly positive response and a measurable improvement in financial management knowledge. Evaluation results demonstrated that the average pre-test score of 44.25% increased sharply to 79.50% in the post-test. This reflects a significant average knowledge increase of 35.25%, successfully bridging the initial gap between passive theoretical knowledge and practical business application. The community-based education effectively raised MSME actors' awareness regarding the importance of financial literacy for making sound, sustainable business decisions. This enhanced capacity provides a strong foundation for better financial choices and supports local economic development. To maximize future community empowerment efforts, providing continuous post-training assistance and integrating user-friendly digital technology for financial record-keeping are highly recommended.
Co-Authors Amelia Ayu Nur Aisha Andy Setiawan Ari Febriansyah Diah Widiastuti Eri Mardiani Eri Mardiani HENY INDRIANI Indri Damayanti Laxmi Laxmi Lusiana Putri Maulana Teguh Perdana Muhammad Ridwan Muhammad Zidan Rosyid Nur Rahmansyah Sugiyono Sugiyono