Alat Monitoring Kadar Amonia dan Pengontrolan pH pada  Kolam Ikan Lele Berbasis IoT

Hendri, Arsyi Mart; Jufrizel, Jufrizel; Zarory, Hilman; Faizal, Ahmad

doi:10.28926/briliant.v8i1.1200

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The second stage is conducting a literature study; the author reviews several journals or previous studies related to the research topic. The third stage is designing hardware and software; the author assembles all these components into a single unit that is connected (Hendri, et al, 2023). The block diagram is an illustration of the design of an upwelling incident detection system and communication device so that it can be seen how the whole system circuit works.…”

Section: Methodsmentioning

confidence: 99%

Monitoring System for Sea Surface Temperature and Wind Speed in FADs Based on the Internet of Things

Hidayat,

Angmalisang,

Bara

et al. 2023

Bri

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Sea Surface Temperature (SST) is the temperature of the water measured at sea level. SST is a crucial marine parameter that influences the weather and climate in Indonesia. The value of sea surface temperature will be very closely related to factors such as the depth of measurement from sea level, the intensity of sunlight received, season, weather, water depth, air circulation, and cloud cover. This study aims to design a prototype tool to measure wind speed and sea surface temperature parameters. The components used are the DS18B20 sensor, JL-FS2 sensor, Arduino Mega 2560, and the SIM900a GSM Module. The system is displayed in real-time via the Thingspeak website, accessed via a PC or smartphone. The DS18B20 sensor, as a sea surface temperature sensor, can measure these parameters by looking at the trend of changing day and night temperatures. The JL-FS2, as a wind speed sensor, has been able to measure wind speed parameters during field tests at FADs.

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Section: Methodsmentioning

confidence: 99%

Monitoring System for Sea Surface Temperature and Wind Speed in FADs Based on the Internet of Things

Hidayat,

Angmalisang,

Bara

et al. 2023

Bri

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Optimizing Catfish Farming Through IoT-Driven Water Quality Management

Darmaji,

Wisaksono

2024

ijler

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General Background: Catfish play a significant role in the global fishing industry, necessitating effective farming practices to enhance productivity and sustainability. Specific Background: However, challenges such as maintaining optimal water quality in aquaculture ponds, particularly concerning ammonia levels and temperature fluctuations, pose threats to catfish health and production efficiency. Knowledge Gap: Previous research has often focused on single-parameter monitoring, lacking comprehensive systems that integrate real-time data for both ammonia and temperature management. Aims: This study aims to develop an advanced Internet of Things (IoT) system for real-time monitoring and control of ammonia levels and water temperature in catfish ponds, facilitating optimal farming conditions. Results: The implemented system utilizes two sensors to measure ammonia and temperature, integrated with the Blynk IoT platform for remote monitoring. The findings indicate that when water temperature exceeds 26 °C, the water pump activates to regulate temperature, while ammonia levels above 5 NH3 trigger the aerator to enhance oxygen levels and reduce ammonia toxicity. Novelty: This research innovatively combines multiple sensors and modern IoT applications, offering a more robust solution for aquaculture management compared to previous studies. Implications: The monitoring system effectively maintains water quality, enhancing catfish farming sustainability and efficiency, emphasizing the need for technology integration in aquaculture to effectively tackle environmental challenges. Highlights: Real-time Monitoring: Continuous tracking of ammonia and temperature levels. Automated Control: Activates pumps and aerators based on set thresholds. Enhanced Sustainability: Supports healthier catfish and optimizes production efficiency. Keywords: Catfish Farming, IoT, Water Quality Monitoring, Ammonia Control, Temperature Management

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Alat Monitoring Kadar Amonia dan Pengontrolan pH pada Kolam Ikan Lele Berbasis IoT

Cited by 2 publications

References 6 publications

Monitoring System for Sea Surface Temperature and Wind Speed in FADs Based on the Internet of Things

Monitoring System for Sea Surface Temperature and Wind Speed in FADs Based on the Internet of Things

Optimizing Catfish Farming Through IoT-Driven Water Quality Management

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