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Penerapan Teknologi IoT Pada Tanaman Hidroponik Untuk Monitoring Pertumbuhan Tanaman di Desa Puccadi Heri, Adi; Insani, Chairi Nur; Irianti, Arnita; Rasyid, Nurdina
Journal Of Computer Science Contributions (JUCOSCO) Vol. 4 No. 1 (2024): Januari 2024
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/f0wg5665

Abstract

Technological development is needed for a better development system. Technology can provide basic changes for society, especially in the context of improving the quality of life in society. In general, the hydroponic method is carried out using water as a medium, where the water conditions that need to be considered are the supply of water, oxygen, nutrients, pH, and light intensity. UV light replaces sunlight which can help plants need the photosynthesis process which produces food substances such as carbohydrates so that plants grow faster. From the situation analysis, it is known that most of the people in Puccadi Village. Cultivating plants using a hydroponic system on a household scale by utilizing yards or yards has quite a large potential. Based on this background, IoT-based hydroponic training and assistance were carried out for the people of Puccadi Village, Luyo District. This service activity is implemented in the form of training and mentoring with the aim of participants being able to directly practice applying IoT to hydroponic plants for monitoring plants. The conclusion of the IoT-based hydroponic training activities in Puccadi Village, Luyo District, is that the implementation of IoT-based hydroponic training and mentoring went well and was able to provide knowledge related to the application of IoT technology to the Puccadi village community, Luyo District.
Deteksi Gerakan Bahasa Isyarat Menggunakan Euclidean Distance Insani, Chairi Nur; Arifin, Nurhikma; Rasyid, Muh. Rafli
Informatik : Jurnal Ilmu Komputer Vol 19 No 1 (2023): April 2023
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v19i1.5658

Abstract

Orang yang memiliki keterbatasan pendengaran/wicara akan sulit berkomunikasi secara lisan dengan orang normal. Cara berkomunikasinya dapat menggunakan tulisan yang lambat dan tidak efisien atau dengan bahasa isyarat. Bahasa isyarat menjadi satu-satunya metode yang efisien digunakan bagi orang dengan keterbatasan pendengaran/wicara. Sedangkan kebanyakan masyarakat normal tidak dapat menggunakan bahasa isyarat. Sehingga sistem untuk mendeteksi bahasa isyarat menjadi sebuah kebutuhan untuk membantu masyarakat dengan keterbatatasan komunikasi secara lisan. Penelitian ini bertujuan untuk mendeteksi bahasa isyarat kedalam teks sesuai dengan makna yang sebenarnya. Pengambilan data dilakukan menggunakan Leap Motion dengan 15 data gerakan isyarat tangan yang memiliki gerakan dasar dan kemiripan dalam gerakannya. Data yang digunakan dalam penelitian ini berupa isyarat abjad A, B, W, M, N, J, Z dan isyarat kata dia, pakai, saya, kakak, adik bingung, kecewa, hai. Metode yang digunakan pada penelitian ini adalah euclidean distance untuk mencari jarak minimum dari nilai support vector yang terdeteksi sama. Inputan pada proses uji adalah huruf W yang dilakukan secara realtime memiliki kemiripan gerakan isyarat dengan huruf B dan kata kecewa nilai Euclidean distance yaitu 0.5475649269013902 maka inputan tersebut dapat terdeteksi sesuai dengan makna yang sebenarnya. Hasil akurasi rata-rata yang didaparkan dari keseluruhan tahap pengujian 15 data gerakan sebesar 88,7%.
Rancang Bangun dan Evaluasi Sistem Smart-Ponik Untuk Monitoring dan Automatisasi Tanaman Hidroponik Berbasis IOT dengan Protokol MQTT QTT Rachmini, Siti Aulia; Rasyid, Muh. Rafli; Insani, Chairi Nur; Rabbani, Alim
Journal of Applied Computer Science and Technology Vol. 6 No. 2 (2025): Desember 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/tpd2rq94

Abstract

Hydroponic farming, a soil-free farming method that has grown in popularity due to its efficient land use and ability to deliver high-quality yields. However, when managed manually, it often encounters issues such as inaccurate watering, imprecise nutrient regulation, and delays in detecting environmental changes. These factors can lead to reduced productivity and lower crop quality. This research aims to address these issues by developing Smart-Ponik, an Internet of Things (IoT)-based monitoring and automation system for hydroponic cultivation utilizing the Message Queuing Telemetry Transport (MQTT) protocol. The system integrates DHT22, soil moisture, and pH sensors to monitor key environmental parameters and transmits data in real time to a server for visualization through a web-based dashboard and automated notifications. The study employs a Research and Development (R&D) method consisting of needs analysis, system design, implementation, and testing. Experimental results show that the system achieves a 100% data transmission rate without packet loss, with an average latency of 0.00 seconds, and occasional delays of 0.01–0.02 seconds due to network fluctuations. Automated control of pumps and fans records a 95% success rate, while black-box testing demonstrates a 100% functional pass rate. In conclusion, Smart-Ponik proves effective for real-time monitoring and automation of hydroponic environments. The system minimizes manual errors, enhances environmental stability, and supports more consistent crop yields. These findings highlight the potential of IoT-based automation to improve precision agriculture practices and increase the reliability of hydroponic production.