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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Community Empowerment BAYYIN: Jurnal Komunikasi dan Penyiaran Islam
Wardani, Gita
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Digital innovation : Implementation of interactive teaching materials for vocational school teachers to support Merdeka Belajar and SDGs 4 Azizah, Nuril Lutvi; Cornelius, Cornelius; Eviyanti, Ade; Liansari, Vevy; Wardani, Gita; Diba, Naila Farah
Community Empowerment Vol 10 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12263

Abstract

The problem in vocational school (SMK) learning is the lack of interactive teaching media used by educators. However, under the Merdeka Belajar curriculum, vocational school students are expected to develop their achievements and create self-employment opportunities based on their acquired skills. This activity aims to enhance the skills of vocational school teachers in digitizing teaching materials through 2D animated videos, 3D animated videos with Artificial Intelligence (AI), and digital flip books. The method used in this community service includes socialization, training, mentoring, and evaluation. The results of the activity indicate an improvement in vocational school teachers' skills in creating 2D and 3D animated instructional videos. Additionally, some teachers have successfully developed interactive digital-based teaching materials.
Penguatan Nilai-Nilai Moderasi Beragama Melalui Sosialisasi “Cerdas Bermedia Sosial Dan Kaitannya dengan Kesehatan Mental” di Madrasah Tsanawiyah Miftahul Huda Desa Sukaringin Kecamatan Sukawangi Kabupaten Bekasi Anisaningtyas, Galuhpritta; Wardani, Gita; Aviyatin, Ummi
Bayyin: Jurnal Komunikasi dan Penyiaran Islam Vol. 1 No. 2 (2023): Bayyin
Publisher : Institut Attaqwa KH. Noer Alie Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71029/bayyin.v1i2.27

Abstract

Penelitian ini dilatar belakangi oleh tingginya intensitas remaja dalam mengakses media sosial. Kemunculan media sosial seperti Whatsapp, YouTube, Facebook, Instagram, Twitter, Tiktok, Telegram,  dan lainnya memberikan berbagai fasilitas kemudahan kepada penggunanya, misalnya dalam berkomunikasi, menyebarkan dan mendapatkan akses informasi. Maka dalam penelitian ini kami memberikan sosialisasi penguatan moderasi beragama-cerdas bermedsos di era disrupsi dengan tema “cerdas bermedia sosial dan kaitannya dengan kesehatan mental” kepada siswa-siswi Madrasah Tsanawiyah Miftahul Huda Desa Sukaringin Kecamatan Sukawangi Kabupaten Bekasi Jawa Barat. Metode yang digunakan adalah metode yang digunakan adalah PAR (Participatory Action Research). Metode ini melibatkan pelaksanaan penelitian dalam untuk mendefinisikan sebuah masalah maupun menerapkan informasi ke dalam aksi sebagai solusi atas masalah yang telah teridentifikasi. Pengumpulan data dengan metode observasi, wawancara, serta kuesioner. Hasil penelitian menunjukkan bahwa intensitas remaja dalam mengakses media sosial tergolong tinggi, dapat dilihat dari frekuensi, durasi, minat, dan motivasi remaja dalam mengakses media sosial. Hasil dari sosialisasi yang dilakukan adalah adanya penambahan ilmu pengetahuan (knowledge) pada peserta didik terkait dari materi sosialisasi yang disampaikan.
ANALYSIS OF APRIORI AND K-NEAREST NEIGHBOR (KNN) ALGORITHM IN RECOMMENDING APPROPRIATE LEARNING METHOD Azizah, Nuril Lutvi; Eviyanti, Ade; Ariyanti, Novia; Wardani, Gita; Diba, Naila Farah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0557-0572

Abstract

The study investigates the utilization of data mining techniques, especially the Apriori algorithm and K-Nearest Neighbor (KNN) classification, in recommending appropriate learning methods based on student data. The purpose of this research is to analyze patterns and groupings in students’ behavior, preferences, and academic performance to support more informed and personalized educational strategies. The Apriori algorithm is used to identify frequent associations among learning related attributes, while KNN classification helps group students with similar learning characteristics. The analysis revealed that the digital learning method is the most preferred by students, with a percentage of 84.29%, followed by the traditional lecture method at 15.70%. These results reflect a notable trend toward technology-driven, flexible learning environments, although conventional approaches continue to hold relevance for a portion of learners. The research concludes that the integration of the Apriori algorithm and KNN clustering proves to be an effective analytical framework for facilitating adaptive learning. This approach allows educators and institutions to make data-driven decisions in tailoring instructional methods that align with the diverse needs and preferences of students.
Co-Authors Ade Eviyanti Aviyatin, Ummi Cornelius, Cornelius Diba, Naila Farah Galuhpritta Anisaningtyas Novia Ariyanti Nuril Lutvi Azizah Vevy Liansari