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All Journal AJAD : Jurnal Pengabdian kepada Masyarakat Journal of Artificial Intelligence and Digital Business Disastra: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Fitriani, Ledyana
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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Edukasi Kesadaran Remaja tentang Pentingnya Pendidikan Seksual dan Etika Pergaulan Sehat di SMP 2 Bireuen Nurhayati, Nurhayati; Fermita, Cut Nanda; Fitriani, Ledyana; Musrizal, Musrizal; Zahraini, Zahraini; Iskandar, Umar
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.700

Abstract

Many adolescents have not yet mastered sexual education and social boundaries at the junior high school level. Several students are unable to distinguish between safe and dangerous social behaviors. The community service program was aimed at adolescents to improve knowledge and awareness about sexual education, reproductive health, and social norms. This program was conducted at SMP Negeri 2 Bireuen with 33 students of class IX, consisting of 20 females and 13 males. The method used was a combination of interactive lectures, group discussions, question-and-answer sessions, video media, and evaluation using a one-group pretest-posttest design. The results showed that there was a significant difference in the level of knowledge before and after the intervention program. The average pretest score was 56.3, while the posttest average score was 82.7 with an increase of 26.4 points. In addition, 87.9% of the participants were able to answer correctly about the material delivered and showed a more positive attitude towards the effect of unhealthy relationships on health, with a p-value <0.05. This program effectively increases knowledge and awareness about sexual education and social norms among adolescents in SMP Negeri 2 Bireuen. It is recommended that this program be conducted periodically with active participation from schools and parents.
Pengembangan Media Augmented Reality Berbasis Deep Learning untuk Pembelajaran Inovatif Pengenalan Huruf pada Siswa Tunagrahita Astuti, Nia; Fitriani, Ledyana; Nurmina, Nurmina
DISASTRA: PENDIDIKAN BAHASA DAN SASTRA INDONESIA Vol 8, No 1 (2026): JANUARI
Publisher : Universitas Islam Negeri Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/disastra.v8i1.9135

Abstract

Kerangka Pemodelan Iklim Berbasis Kecerdasan Buatan Menggunakan Fusi Data Satelit dan Pembelajaran Mendalam Fitriani, Ledyana
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4954

Abstract

Perubahan iklim global menuntut pengembangan sistem pemodelan yang akurat, adaptif, dan responsif untuk mendukung upaya mitigasi serta adaptasi di berbagai sektor. Penelitian ini mengembangkan sebuah kerangka pemodelan iklim berbasis kecerdasan buatan yang mengintegrasikan fusi data satelit multisumber dengan arsitektur pembelajaran mendalam. Model dirancang dengan pendekatan Long Short-Term Memory (LSTM) yang dikombinasikan dengan mekanisme attention dan Convolutional Neural Networks (CNN) untuk mengekstraksi fitur spasial. Sistem dilatih menggunakan data satelit MODIS, Sentinel-2, dan ERA5 pada periode 2018–2024, mencakup 156 titik pengamatan di wilayah Indonesia dengan resolusi temporal harian dan resolusi spasial 1 kilometer. Proses fusi data dilakukan menggunakan teknik weighted averaging berdasarkan tingkat kepercayaan sensor dan konsistensi temporal. Validasi model dilakukan menggunakan data observasi stasiun meteorologi BMKG dengan metrik Root Mean Square Error (RMSE), Mean Absolute Error (MAE), serta koefisien korelasi. Hasil penelitian menunjukkan bahwa model hybrid CNN-LSTM dengan mekanisme attention mencapai RMSE 0,87°C untuk prediksi suhu, 12,3% untuk kelembapan relatif, dan 8,9 mm untuk curah hujan pada horizon prediksi tujuh hari. Analisis ablasi mengonfirmasi bahwa fusi multisensor meningkatkan akurasi sebesar 23,4% dibandingkan pemodelan berbasis satu sumber data satelit. Kerangka kerja ini memberikan kontribusi penting bagi pengembangan sistem peringatan dini iklim dan pengambilan keputusan berbasis data pada sektor pertanian, manajemen sumber daya air, serta mitigasi bencana iklim.
Co-Authors Astuti, Nia Fermita, Cut Nanda Musrizal, Musrizal Nurhayati Nurhayati Nurmina Nurmina, Nurmina UMAR ISKANDAR, UMAR Zahraini Zahraini