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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SmartComp
Irianto, Kurniawan
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Sensor Soil untuk Mengukur Kelembapan Tanah Berbasis IoT Nugroho, Adib; Irianto, Kurniawan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 3 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i3.8189

Abstract

Penelitian ini mengembangkan sistem berbasis IoT untuk memantau kelembapan tanah secara real-time dan melakukan penyiraman otomatis. Masalah utama yang dihadapi adalah inefisiensi sistem manual dalam memantau kelembapan tanah, yang sering menyebabkan tanaman mengalami kekurangan atau kelebihan air. Prototipe yang dirancang menggunakan NodeMCU ESP8266, sensor kelembapan tanah FC-28, pompa mini, dan aplikasi Blynk untuk memantau data secara real-time. Hasil pengujian menunjukkan bahwa sistem ini efektif dan akurat dalam memantau kelembapan tanah serta melakukan penyiraman otomatis sesuai kebutuhan. Namun, sistem ini memiliki kelemahan berupa ketergantungan pada koneksi internet. Penelitian ini diharapkan dapat menjadi solusi efisien bagi petani dalam mengelola lahan mereka.
Sistem Pemantau Pencemaran Air Sungai Berbasis IoT dan Komunikasi Lora Fauzi, Rasyid Achmad; Irianto, Kurniawan
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8520

Abstract

River water quality degradation is a significant environmental issue that endangers aquatic ecosystems and public health. Monitoring systems face limitations related to data acquisition latency and operational range, particularly in remote locations. This study presents the design and implementation of an Internet of Things (IoT)-based river water quality monitoring system for real-time pH and Total Dissolved Solids (TDS) measurement. The system architecture consists of an Arduino Uno-based sensor node that acquires data and transmits it via a Long Range Communication (LoRa) module to an ESP32-based gateway. The gateway then stores the data on a Firebase cloud server for visualization on a custom web interface. Test results show a 100% success rate of LoRa data transmission over a distance of 20 meters with an average end-to-end system latency of 3.08 seconds. These findings demonstrate that the developed system can be a highly responsive solution for early detection of contamination, thus supporting faster intervention efforts for aquatic ecosystem protection and public health.
Co-Authors Fauzi, Rasyid Achmad Nugroho, Adib