Prototype Sistem Monitoring Intensitas Cahaya pada Budidaya Tanaman Cabai Rawit dengan Konsep Smart Farming Berbasis Internet Of Things (IOT)

Ahmad Martin Yusa, Siti Nurhalimah, Arif Fahmi
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Abstract

Light intensity is an important factor to consider as best as possible to support plant fertility and health, especially in cayenne pepper plants. One of the innovations that can be applied to assist the management and maintenance of plants in Greenouse is agricultural technology based on the Internet of Things (IoT) or called smart sarming. In the use of Smart farming technology, the process of Monitoring crop needs is carried out by sensors and microcontrollers so that farmers can monitor all data in real time. This final project aims to describe the implementation of a light intensity Monitoring system in an IoT-based Greenhouse and produce a light intensity Monitoring tool in a Greenhouse using an LDR sensor so that farmers can know that the plants are getting an adequate supply of light. The smart farming system is designed using the MQTT (Message Queue Telemetry Transport) protocol as the center for transferring and receiving data from sensors to Monitoring applications. The stages of implementing system into the Greenhouse include: (1) installation of sensors and microcontrollers on the Prototype Greenhouse for cayenne pepper cultivation; (2) design and decision-making to be carried out by the system; (3) create web and android applications as a place for Monitoring data by end users. The results show that the light intensity Monitoring system in cayenne pepper cultivation is based on the Internet Of Things (IoT), include: first, the manufacture of a system Monitoring tool whose light intensity is carried out in 4 steps, namely determining the components, assembling of components into a series of Monitoring systems, programming toolkits and application software, and packaging step. And the second, the implementation of the light intensity Monitoring system in cayenne pepper cultivation includes the system trial stage which produces an average value of 2676 LUX or 62.43% on sensor readings 12 times over a period of 3 minutes it is still at the optimal level for the growth of cayenne pepper plants with a minimum intensity value of 2528 or 50%. The output value calibration results on the Monitoring application with the LUX Meter application show the same and accurate value. So, it can be concluded that the IoT-based light intensity Monitoring system can run well and can be implemented for Greenhouse farming of cayenne pepper.
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基于互联网的智能农场光照明原型系统监测
光强度是一个重要的因素,要尽可能地支持植物的肥力和健康,特别是在辣椒植物中。可以应用于协助管理和维护Greenouse植物的创新之一是基于物联网(IoT)的农业技术,或称为智能手臂。在使用智能农业技术时,监测作物需求的过程是由传感器和微控制器来完成的,这样农民就可以实时监控所有数据。这个最终项目旨在描述在基于物联网的温室中实现光强度监测系统,并使用LDR传感器在温室中生产光强度监测工具,以便农民可以知道植物是否获得充足的光供应。智能农业系统的设计使用MQTT(消息队列遥测传输)协议作为从传感器到监控应用程序传输和接收数据的中心。该系统在温室中的实施阶段包括:(1)在辣椒栽培的原型温室上安装传感器和微控制器;(2)系统要进行的设计和决策;(3)创建web和android应用程序,作为终端用户监控数据的场所。结果表明,基于物联网的辣椒栽培光强监测系统包括:首先,制造系统监测工具,该系统监测工具的光强分为4个步骤,即确定组件、将组件组装成一系列监测系统、编写工具包和应用软件、包装步骤。第二,光强监测系统在辣椒栽培中的实施,包括系统试验阶段,在3分钟的时间内,12次传感器读数平均为2676 LUX或62.43%,最小强度值为2528或50%,仍然处于辣椒植株生长的最佳水平。与LUX仪表应用程序的监控应用程序上的输出值校准结果显示相同和准确的值。综上所述,基于物联网的辣椒光强监测系统运行良好,可用于辣椒大棚种植。
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Sistem Informasi Status Gizi Anak dan Timbangan Bayi Berbasis IoT Untuk Pendeteksian Stunting Sistem Tracking dan Counting Kendaraan Berbasis YOLO untuk Pemetaan Slot Parkir Kendaraan Design Thinking: Metode Perancangan Aplikasi Bapeling Dalam Penanganan Sampah Berbasis Sumber Provinsi Bali Prototype Sistem Monitoring Intensitas Cahaya pada Budidaya Tanaman Cabai Rawit dengan Konsep Smart Farming Berbasis Internet Of Things (IOT) Rancang Bangun Sistem Monitoring KelembapanTanah dengan Konsep Smart Farming untuk Budidaya Tanaman Cabai Rawit Berbasis Internet of Things (IOT)
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