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PEMBERDAYAAN MASYARAKAT MELALUI EDUKASI SEKS DAN PENCEGAHAN PERNIKAHAN DINI DI DESA TURI Guruh Putro Dirgantoro; Shidiq, Agus Sholahudin
Al-Umron : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025): AL-UMRON : Jurnal Pengabdian kepada Masyarakat
Publisher : LEMBAGA PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT (LPPM) UNIVERSITAS NAHDLATUL ULAMA SUNAN GIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/alumron.v6i1.4063

Abstract

Edukasi seks dan pencegahan pernikahan dini merupakan salah satu program pemberdayaan yang dilaksanakan di Desa Turi, Kecamatan Tambakrejo, Kabupaten Bojonegoro. Masalah reproduksi merupakan masalah kompleks dalam masyarakat. Meski begitu, seringkali Kesehatan ini diabaikan. Padahal Kesehatan ini merupakan bagian penting dalam membentuk generasi. Program ini bertujuan agar dapat meningkatkan kesadaran masyarakat, terutama remaja dan orang tua, tentang pentingnya kesehatan reproduksi dan dampak negatif pernikahan dini terhadap kesehatan, pendidikan, serta masa depan generasi muda.Metode pelaksanaan program terdiri dari tiga tahapan utama: perencanaan, pelaksanaan, dan evaluasi. Pada tahap perencanaan, tim KKN menyusun rencana aksi yang melibatkan berbagai pihak, termasuk Dinas Pemberdayaan Perempuan dan kelompok masyarakat lokal seperti ibu PKK. Tahap pelaksanaan meliputi kegiatan sosialisasi di sekolah-sekolah dan tingkat dusun, diskusi interaktif, pelatihan berbasis simulasi, serta penggunaan materi visual. Evaluasi menunjukkan peningkatan pemahaman masyarakat terhadap isu kesehatan reproduksi dan penurunan resistensi terhadap topik-topik sensitif.Hasil program ini menunjukkan bahwa pendekatan edukasi yang interaktif dan kolaboratif berhasil menciptakan kesadaran kolektif terhadap masyarakat. Namun, untuk memastikan keberlanjutan dampak, pendampingan berkala dan pelatihan lanjutan sangat diperlukan. Program ini memberikan kontribusi nyata terhadap pemberdayaan masyarakat Desa Turi dan dapat menjadi model pemberdayaan untuk isu-isu serupa di wilayah lain.
PEMANFAATAN ARTIFICIAL INTELLIGENCE DALAM PEMBELAJARAN DASAR: HASIL PENGABDIAN DI MI PLUS AL-FATIMAH BOJONEGORO Ita Aristia Sa’ida; Guruh Putro Dirgantoro; Dwi Issadari Hastuti; Niken Sukmawati; Elsa Azia Ulhaq
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 6 (2025): Nopember 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v5i6.11805

Abstract

The rapid development of Artificial Intelligence (AI) offers significant opportunities to enhance the quality of learning, particularly at the elementary and madrasah levels. However, teachers’limited digital literacy and lack of experience in utilizing AI-based tools often hinder the integration of technology into classroom practices. This community service program aims to strengthen teachers’ competencies in implementing AI to support teaching and learning at MI Plus Al-Fatimah, Bojonegoro. The program was conducted through four stages: socialization, training, classroom implementation with mentoring, and evaluation. Various AI-based teaching products were produced, including digital learning materials, interactive assessments, infographics, and instructional videos. Evaluation results show a substantial improvement in teachers’ digital literacy and confidence, with an average increase of 65% between pre-test and post-test scores. Teachers reported that AI tools improved efficiency in preparing teaching materials, enhanced classroom engagement, and helped diversify instructional strategies. This program demonstrates that AI integration can serve as an effective capacity-building mechanism for teachers, promoting innovative, adaptive, and technology-driven learning environments. The findings suggest that continuous training, infrastructural support, and clear implementation guidelines are necessary to sustain AI adoption in schools and broaden its impact across educational settings.
Pendeteksian Dini pada Potensi Banjir dengan Berbasis Internet of Things Menggunakan Algoritma Random Forest Ardyka Bayu Reovan; Guruh Putro Dirgantoro; Muhammad Jauhar Vikri
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9644

Abstract

Flood is a natural disaster that frequently occurs and causes significant material and social losses. Conventional flood monitoring systems are generally reactive and rely on threshold-based approaches, which limits their effectiveness in supporting early detection. This study proposes an Internet of Things (IoT)-based early flood detection system using the Random Forest algorithm. The developed system collects hydrological data, including water level and flow velocity, through IoT sensors that periodically transmit data to a server for further processing. The collected data are then aggregated and classified into flood and non-flood conditions using a Random Forest model. Model performance is evaluated using accuracy, precision, recall, f1-score, confusion matrix, and 5-fold cross-validation. Experimental results indicate that the proposed model achieves an accuracy of 97.26% with a mean cross-validation score of 0.9863. However, the recall for flood events remains limited due to data imbalance and the relatively small number of flood occurrences. Despite these limitations, the proposed system demonstrates potential to support the development of early flood warning systems and can be further improved by incorporating longer and more diverse historical datasets.