Rain Monitoring System for Nutmeg Drying Based on Internet of Things

Dirja Nur Ilham; Eri Satria; Fera Anugreni; Rudi Arif Candra; Herma Nugroho Rono Adi Kusumo

doi:10.47709/cnahpc.v3i1.933

Authors

Dirja Nur Ilham Politeknik Aceh Selatan http://orcid.org/0000-0001-9910-2661
Eri Satria Politeknik Aceh Selatan, Indonesia
Fera Anugreni Politeknik Aceh Selatan, Indonesia
Rudi Arif Candra Politeknik Aceh Selatan, Indonesia
Herma Nugroho Rono Adi Kusumo Politeknik Kota Malang, Indonesia

DOI:

10.47709/cnahpc.v3i1.933

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Abstract

One of the stages in drying the nutmeg is drying the nutmeg in the afternoon which is directly illuminated by the sun. The nutmeg owners in South Aceh is very difficult to get information about rain falling during the day if they are outside or are not in the nutmeg drying area. The process of monitoring the occurrence of rain during the drying of the nutmeg has been done manually by monitoring or seeing the state of the sky when it is cloudy. The purpose of this research is to create a rain monitoring system based on the “Internet of things” internet to make it easier for nutmeg owners to get information about rain falling from a distance. This research uses nodeMCU which functions as a controller of a rain monitoring system, a raindrop sensor as a rain detection sensor. The working system of the rain monitoring tool is by connecting the nodeMCU to the led light and if the raindrop sensor is exposed to rain then the led light will turn on or light up and the raindrop sensor reads the data point. If the data point is read 1024, it indicates that the condition is not raining, while if the data point value is 700 -1023, it indicates the condition of the drizzle, and the data point value from 0-600 indicates the heavy rain condition. The raindrop sensor sends data points to the ThingsIO.AI website as a condition notification that the nutmeg drying area is drizzling, heavy rain, or no rain. For monitoring of nutmeg drying area, it can be accessed remotely via the “website ThingsIO.AI” using smartphones and computers that are connected by the internet. Based on the results of testing the average data point delivery time is 1 minute and the value of the data point obtained is 488-1009

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References

Abdullah, R. F. (2020). Sistem Peringatan Dini Banjir Berdasarkan Ketinggian Air, Debit Air Dan Curah Hujan Dilengkapi Dengan Sistem Monitoring Data Sensor. 6341(April), 16–19.

Ardiyanto, Y., & Mustar, M. Y. (2020). Rancang Bangun Graphical User Interface Sebagai Sistem Monitoring Nirkabel Pendeteksi Hujan, Suhu Dan Kelembaban. Jurnal Edukasi Elektro, 4(1), 1–11. https://doi.org/10.21831/jee.v4i1.30412

Artono, B., & Putra, R. G. (2019). Penerapan Internet Of Things (IoT) Untuk Kontrol Lampu Menggunakan Arduino Berbasis Web. Jurnal Teknologi Informasi Dan Terapan, 5(1), 9–16. https://doi.org/10.25047/jtit.v5i1.73

Balkhaya, B., Ilham, D. N., Candra, R. A., & Anugreni, F. (2020). Designing an Arduino-based Automatic Cocoa Fermentation Tool. 5(1), 92–99.

Candra, R. A., Ilham, D. N., Hardisal, H., & Sriwahyuni, S. (2019). Light Control Design by Using Social Media Telegram Applications Based on Internet Of Things (IOT). SinkrOn, 3(2), 200. https://doi.org/10.33395/sinkron.v3i2.10094

Candra, R. A., Saputra, D. S., Ilham, D. N., & Setiawan, H. (2020). The Infusion of Notification Design With an Application of Social Media Based on a Internet of Things ( IOT ). xx(xx), 129–137.

Dewi, C., Kartikasari, D. P., & Mursityo, Y. T. (2014). Prediksi Cuaca Pada Data Time Series Menggunakan Adaptive Neuro Fuzzy Inference System (Anfis). Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 1(1), 18–24.

Hardisal, H., Candra, R. A., & Ilham, D. N. (2019). Analisis Efisiensi Energi pada Aplikasi Media Sosial Menggunakan Perangkat Komunikasi Bergerak. 9, 125–131.

Ihsan, I., Ilham, D. N., Candra, R. A., & Yunan, A. (2020). Design of an Automatic Water Pump on a Traditional Boat. 5(1), 100–106.

Ilham, D. N. (2020). Monitoring dan Stimulasi Detak Jantung dengan Murottal Al-Qur’an Berbasis Internet of Things (IOT). CV Jejak (Jejak Publisher).

Ilham, D. N., Hardisal, H., Balkhaya, B., Candra, R. A., & Sipahutar, E. (2019). Heart Rate Monitoring and Stimulation with the Internet of Thing-Based (IoT) Alquran Recitation. SinkrOn, 4(1), 221. https://doi.org/10.33395/sinkron.v4i1.10392

Kurniawan, D., Jati, A. N., & Mulyana, A. (2016). Perancangan Dan Implementasi Sistem Monitor Cuaca Menggunakan Mikrokontroler Sebagai Pendukung Sistem Peringatan Dini Banjir. E-Proceeding of Engineering, 3(1), 757–763.

Muhamad Yusvin Mustar, R. O. W. (2017). Implementasi Sistem Monitoring Deteksi Hujan dan Suhu Berbasis Sensor Secara Real Time (Implementation of Rain Detection and Temperature Monitoring System Based on Real Time Sensor). Semesta Teknika, 20(1), 20–28.

Rahajoeningoem, T., & Saputra, I. H. (2017). Sistem Monitoring Cuaca dan Deteksi Banjir pada Android Berbasis Internet of Things (IoT). 33–40.

Sucipto, W., Djuni Hartawan, I. G. A. K. D., & Setiawan, W. (2018). RANCANG BANGUN PERANGKAT PEMANTAU CUACA OTOMATIS BERBASIS MIKROKONTROLER PADA JARINGAN WLAN IEEE 802.11b. Jurnal SPEKTRUM, 4(2), 48. https://doi.org/10.24843/spektrum.2017.v04.i02.p07