Purba Daru Kusuma, Helmy Widyantara, Muhammad Dwi Hariyanto, Seno Adi Putra, Andrew Brian Osmond

Implementation of Internet of Things-based Water Monitoring System in Vertical System based Crab Farming

Introduction

Implementation of internet of things-based water monitoring system in vertical system based crab farming. Implement an IoT-based water monitoring system for vertical crab farming. Enhance precision farming, maximize space, and reduce mortality in high-value crab cultivation.

Abstract

Crab is one of protein resource with high economic value. The vertical system is a crab farming method that provides several advantages including increasing space utility, minimizing crab mortality that is affected by cannibalism, and improving precision farming. As a continuation of 2024 research under the strategic collaboration (Katalis) scheme, a community service project has been conducted by implementing the Internet of Things (IoT) based water monitoring system to support precision farming in vertical system-based crab farming. Surabaya crab supermarket has become the partner in this community service. The objective of this activity is to implement this prototype in the real crab farming environment to investigate its effectiveness. This activity also gives experience for students at Telkom University that are involved in this project of implementing the developed precision farming system in the real environment despite the laboratories scale environment. Moreover, this project is also important to give insight from the crab farmer regarding the real problems that occur in crab farming. In the future, the system can be expanded by adding more features including the machine learning method to give predictions regarding the water quality and the growth of the crabs.

Review

This paper presents a community service project detailing the implementation of an Internet of Things (IoT)-based water monitoring system for vertical system-based crab farming. As a continuation of prior research, the initiative aims to enhance precision farming by deploying a prototype in a real-world setting, partnering with a Surabaya crab supermarket. The project also serves an educational purpose, providing Telkom University students with practical experience in deploying advanced technological solutions outside a laboratory environment, while simultaneously seeking insights into real challenges faced by crab farmers. A primary strength of this work lies in its practical application of IoT technology to a tangible agricultural problem, addressing the need for precise environmental control in high-value crab farming. The vertical farming method itself offers benefits such as increased space utility and reduced cannibalism, making the integration of an IoT monitoring system a logical and valuable step towards optimizing these advantages. The dual benefit of providing students with hands-on experience and engaging directly with industry partners to gather real-world insights further enhances the project's relevance and potential for impactful solutions. While the abstract outlines a promising and relevant undertaking, it primarily describes the *objective* and *scope* of the implementation rather than presenting concrete results or findings. A key limitation for a scientific review is the absence of data demonstrating the system's effectiveness, the specific parameters monitored, the technical specifications of the IoT solution, or how farmer insights were specifically integrated or impacted the deployment. For a full journal publication, it would be crucial to detail the methodology of effectiveness investigation, present quantitative metrics on water quality improvements or operational efficiencies, and elaborate on the challenges encountered during implementation. Future iterations would benefit significantly from including these detailed findings, even in an initial deployment phase, alongside the proposed expansion into machine learning for predictive analysis.

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