Claim Missing Document
Check
Articles

Found 14 Documents
Search

Implementasi Wireless Sensor Network untuk Monitoring Kelembaban Tanah dalam Mendukung Produktivitas Sawah di Desa Sambit Karimatun Nisa; Niza Nurmalasari; Afifah Dwi Ramadhani; Faridatun Nadziroh; Nihayatus Sa'adah; Nailul Muna; Almabel Syahzia Abhista; Dony Saputra; Moch. Iqbal Ramadhan; M. Irfan Nazril Rifa'Ie
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 4 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i4.2746

Abstract

Petani di Desa Sambit menghadapi permasalahan tingginya biaya penggunaan pompa irigasi berbahan bakar solar serta keterbatasan sarana untuk memantau kelembaban dan pH tanah. Kondisi ini menimbulkan inefisiensi penggunaan air, penurunan produktivitas sawah, dan risiko kerugian akibat salah kelola lahan. Untuk mengatasinya, tim melaksanakan program pengabdian masyarakat berbasis edukasi, transfer teknologi, dan penerapan Internet of Things (IoT). Teknologi yang dikembangkan berupa prototipe sistem monitoring kelembaban dan pH tanah menggunakan sensor soil moisture dan sensor pH yang terintegrasi dengan ESP32, serta pengembangan awal irigasi otomatis berbasis energi surya sebagai alternatif pompa diesel. Kegiatan meliputi observasi, diskusi dengan GAPOKTAN Subur Jaya, perancangan, uji coba laboratorium, serta pelatihan bagi petani. Hasil uji coba menunjukkan akurasi data real-time melalui aplikasi monitoring. Sosialisasi meningkatkan pemahaman petani tentang smart farming, efisiensi air, energi terbarukan, serta strategi pemasaran digital. Dampak awal terlihat pada meningkatnya literasi teknologi dan peluang keberlanjutan pertanian.
MEMBANGUN KARAKTER RELIGIUS MELALUI PEMBUDAYAAN AGAMA DAN PEMBELAJARAN AL-QUR'AN HADIS DI LEMBAGA PENDIDIKAN Nailul Muna; Asmira Laila; Anisa Nurul Fadhilah; Muhammad Fauzan; Sumiarti; Hamzah Irfanda
An Najah (Jurnal Pendidikan Islam dan Sosial Keagamaan) Vol. 5 No. 1 (2026): Januari 2026
Publisher : Najah Bestari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The formation of students' religious character in the era of globalization requires a comprehensive approach that integrates the cultivation of religious values in school life and deepens understanding of Islamic teachings through the study of the Qur'an and Hadith.This literature review analyzes strategies for developing a religious culture in schools and effective methods of teaching the Qur'an and Hadith at the high school/vocational school level. The results show that religious culture is formed through the internalization of values involving all components of the school, including routine religious activities, teacher role models, and the integration of religious values into learning.Effective Al-Qur'an Hadith learning must be tailored to the characteristics of critically thinking teenagers, including in-depth tajwid, Ulumul Qur'an, Ulumul Hadith, thematic interpretation, and contextualization of verses and hadiths with modern life. A combination of structural, active, technology-based, and project-based approaches has been proven to improve students' understanding and practice. The synergy between religious culture and quality Al-Qur'an Hadith learning produces a generation that is faithful, knowledgeable, noble, and ready to face global challenges.
Neurosains Lingkungan Belajar: Tinjauan Sistematis Tentang Aktivitas Otak Dan Motivasi Siswa Dalam Konteks Pendidikan Bahran; Muhammad Al Azhar; Nailul Muna; Kharisma Yuliana; Riza Nurlaili M; M. Reza H; Bagus Mahardika
JIMULTI: Jurnal Ilmu Pendidikan Vol. 1 No. 2 (2025): Oktober 2025
Publisher : JIMULTI: Jurnal Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.180495/

Abstract

The development of neuroscience makes a significant contribution to the world of education, especially in understanding how students' brains work and respond to the learning environment. Learning environments that include physical, social, and pedagogical aspects have been shown to influence brain activity as well as student learning motivation. This study aims to systematically examine the relationship between neuroscience, learning environment, brain activity, and student learning motivation in the context of education. The research method used is library research by examining various primary and secondary sources in the form of scientific journals and relevant books. Data analysis techniques are carried out qualitatively through text and discourse analysis with an inductive approach and theoretical triangulation to maintain the validity of the data. The results of the study show that neuroscience-based classroom management, positive social interaction between teachers and students as well as between students, and the implementation of learning strategies that are in accordance with how the brain works can improve cognitive activity, emotion regulation, and intrinsic motivation of students. However, the application of neuroscience in learning still faces various challenges, such as limited teacher understanding, lack of training, and not being optimally integrated neuroscience in the curriculum. Therefore, continuous efforts are needed to improve teacher competence and the development of neuroscience-based learning models so that the learning process becomes more effective and meaningful.
Implementasi Algoritma EfficientDet-D0 dan SSD-MobileNet-V2 FPNLite untuk Sistem Deteksi Gulma Nailul Muna; Norma Ningsih; Nanang Syahroni; Abd. Malik Syamlan; Vina Larasati; Karimatun Nisa’
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3723

Abstract

Gulma merupakan tumbuhan yang tumbuh disekitar tanaman dan dapat merugikan tanaman yang dibudidayakan. Pengendalian gulma menjadi faktor penting yang dapat mempengaruhi produktivitas tanaman. Pengendalian gulma dapat ditanggulangi dengan melakukan penyemprotan pestisida pada gulma. Cakupan penyemprotan yang tepat sasaran dapat dilakukan untuk mencegah timbulnya masalah limbah. Sistem pertanian cerdas sangat dibutuhkan untuk mengatasi permasalahan tersebut, seperti deteksi gulma yang memanfaatkan teknik deep learning. Pada penelitian ini membangun sistem deteksi gulma yamg mengimplementasikan EfficientDet-D0 dan SSD-MobileNet-V2 FPNLite. Dataset yang digunakan berjumlah 941 citra gulma yang kemudian dilakukan pelabelan untuk data latih dan data uji. Sistem menunjukkan kinerja yang baik untuk mendeteksi gulma dengan accuracy berturut-turut dari EfficientDet-D0 dan SSD-MobileNet-V2 FPNLite mencapai 95,69% dan 99,138%. Hasil tersebut menunjukkan EfficientDet-D0 dan SSD-MobileNet-V2 FPNLite dapat mendukung dalam pengendalian gulma.