Muhammad Muflih Muhsinin, Nina Hendrarini, Duddy Soegiarto

Penerapan Sistem Precision Aquaculture Berbasis IoT Untuk Sistem Pelaporan Berbasis Web Pada Budidaya Kepiting

Introduction

Penerapan sistem precision aquaculture berbasis iot untuk sistem pelaporan berbasis web pada budidaya kepiting. Kembangkan sistem Precision Aquaculture berbasis IoT untuk budidaya kepiting. Pantau kualitas air real-time dengan laporan web Firebase, optimalkan keputusan, cegah kegagalan panen.

Abstract

Kepiting bakau merupakan salah satu spesies yang hidup di ekosistem mangrove, terutama di Indonesia, dan memiliki potensi ekonomi yang tinggi. Untuk mendukung budidaya kepiting bakau, diperlukan teknologi yang dapat memberikan data kualitas air secara real-time, sehingga membantu pengelola mencegah kegagalan panen. Penelitian ini bertujuan mengembangkan sistem Internet of Things (IoT) berbasis web untuk memantau kondisi air secara akurat. Sistem ini menggunakan metodologi prototyping, yang meliputi analisis kebutuhan, perancangan, dan evaluasi. Hasil dari penelitian ini adalah sebuah web yang mampu menampilkan nilai sensor kualitas air serta gambar secara real-time dengan dukungan Firebase. Web ini diharapkan dapat memvisualisasikan data dengan baik, memudahkan pengelola dalam pengambilan keputusan, serta mendukung keberhasilan budidaya kepiting bakau.

Review

This paper presents a highly relevant and timely intervention for the critical domain of mangrove crab aquaculture, a sector with substantial economic importance, particularly within Indonesia. The research effectively identifies a key challenge: the absence of real-time water quality data, which frequently results in harvest failures and significant economic losses. By proposing an Internet of Things (IoT)-based precision aquaculture system, the authors aim to equip cultivators with accurate, live environmental data, thereby enhancing operational efficiency and proactively mitigating financial risks associated with cultivation. The focus on preventing crop failure through technological innovation underscores the practical significance of this study. The methodology employed for this research is prototyping, encompassing a systematic approach that includes needs analysis, comprehensive design, and subsequent evaluation. The core technical contribution lies in the development of a robust web-based platform designed to dynamically display real-time sensor data pertaining to water quality, alongside visual information, with Firebase providing essential backend support for data handling and retrieval. This integrated, real-time monitoring and reporting system offers managers immediate access to crucial environmental parameters, enabling them to proactively oversee conditions and make informed, data-driven decisions for their aquaculture operations. The developed web-based system holds significant promise for improving data visualization and streamlining decision-making processes for crab cultivators, ultimately fostering more successful and sustainable aquaculture endeavors. While the abstract clearly outlines the system's capabilities and intended benefits, future work would greatly benefit from a more detailed exposition on the evaluation phase. This could include quantitative performance metrics, an assessment of the system's accuracy and reliability under diverse field conditions, and a discussion on its scalability to accommodate larger-scale aquaculture facilities, which would further solidify the practical utility and robustness of this promising precision aquaculture solution.

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