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Gempa Bumi : Hubungan Data Sensor MAG3110 dengan Data Sensor ADXL345 Berbasis IoT Dodi Yudo Setyawan; Nurfiana Nurfiana; Lia Rosmalia; Melia Gripin Setiawati
Jurnal Teori dan Aplikasi Fisika Vol. 9 No. 2 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i2.361

Abstract

Pelatihan dan Implementasi Vertical Farming berbasis Internet of Things (IoT) Bagi Siswa dan Siswi di Emer Islamic Boarding School (EIBOS) Kecamatan Natar Kabupaten Lampung Selatan Dodi Yudo Setyawan; Nurfiana Nurfiana; Melia Gripin Setiawati; Lia Rosmalia; Nurjoko Nurjoko
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 3 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i3.925

Abstract

Pengabdian masyarakat ini bertujuan mengembangkan literasi digital dan keterampilan praktis siswa Sekolah Menengah Atas (SMA) melalui penerapan teknologi IoT pada vertical farming, sejalan dengan tuntutan Revolusi Industri 4.0. Metode pelaksanaan dimulai dengan identifikasi masalah melalui Focus Group Discussion (FGD) bersama siswa terkait kendala pengelolaan lahan, pemantauan lingkungan, serta literasi teknologi. Berdasarkan hasil FGD, disusun modul komprehensif yang mencakup pengenalan konsep IoT (sensor, mikrokontroler, jaringan, aplikasi monitoring) dan prinsip vertical farming, dilengkapi peralatan pendukung seperti sensor suhu, kelembaban, pompa air, serta mobile apps. Pelatihan berjalan interaktif, siswa merakit perangkat IoT, mengintegrasikannya ke sistem monitoring berbasis cloud, dan berlatih troubleshooting koneksi. Setelah instalasi di rooftop EIBOS School, sistem memantau suhu (20–35 °C) dan kelembaban (40–80 %) tanaman kangkung, lalu secara otomatis mengatur suplai air. Pendampingan teknis rutin setiap dua minggu memastikan kemandirian operasional dan peningkatan kemampuan troubleshooting. Hasil evaluasi menunjukkan peningkatan pemahaman siswa yang signifikan, terbukti dari kemampuan merakit, mengoperasikan aplikasi monitoring, dan mempresentasikan proyek. Secara teknis, sistem berfungsi andal dengan akurasi sensor tinggi dan efisiensi penggunaan air, sementara aspek soft skill kerja sama tim, komunikasi ilmiah, problem solving terasah melalui kegiatan partisipatif. Satu tim siswa berhasil lolos final Indonesian Science Project Olympiad (ISPO) tingkat nasional, menegaskan efektivitas program dalam mempersiapkan kompetensi ilmiah dan teknis. Dengan demikian, program ini tidak hanya meningkatkan literasi IoT dan produktivitas urban farming, tetapi juga mendukung pembangunan berkelanjutan serta kesiapan generasi muda menghadapi tantangan era digital.
Penerapan Sistem Irigasi Otomatis Berbasis IoT: Analisis Perbandingan Efisiensi Sensor Kapasitif dan Sensor Resistif dalam Pertanian Presisi Dodi Yudo Setyawan; Nurfiana Nurfiana; Retno Dwi Handayani; Lia Rosmalia
TEKNIKA Vol. 20 No. 2 (2026): Teknika Mei 2026
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

This study compared the accuracy and efficiency of capacitive and resistive soil moisture sensors within an Internet of Things (IoT) based automated irrigation system in a smart garden case study.Irrigation automation by factors such as soil moisture sensors reliable as required, is a critical determinant in efficient water use.The paper uses the ESP32 based IoT irrigation framework to evaluate performance of two soil moisture sensors: capacitive and resistive. The operational efficiency, as well as the difference in total cost is also looked at.Smart gardens were used in this paper to record over three months (from July until September) dynamics of soil humidity, as well as the consumption of water. The cloud-based database saved in real-time per sensor response on one hand information, and then further statistical data every hour about pump activation frequency and total water discharge.Conclusions drawn from quantitative analysis are: Resistive sensor performance has some major problems, such as excessive sensitivity to changes in soil conductivity and a drift tendency over time. This causes Irrigation pump false alarms to occur frequently. Conversely, the capacitive sensor offered readings with more stable repetition and smaller variation.The results show that, compared to the resistive-based system, the system with capacitive sensors reduced cumulative water consumption by 30%. This implies that although resistive sensors may have a lower initial cost, the long-term water use efficiency which can be attained with capacitive sensors easily compensates for any disadvantages in performance they may have and makes their installation the best choice for sustainable IoT-based precision agriculture applications.