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All Journal Jurnal INFOTEL
Septafiansyah Dwi Putra
Politeknik Negeri Lampung, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Development of Smart Hydroponics System using AI-based Sensing Septafiansyah Dwi Putra; Heriansyah Heriansyah; Eko Fajar Cahyadi; Kurnia Anggriani; Moh Haris Imron S Jaya
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1190

Abstract

This paper proposes a smart hydroponic system that operates automatically using a fuzzy logic algorithm, integrating IoT functionalities to support smart agriculture. The system allows for remote monitoring and control via the internet, providing real-time data on water levels, pH levels, temperature, and nutrient solution temperature. Precise dosing and temperature control are critical for optimal plant growth, and the system schedules temperature measurements to ensure stability. Unstable temperature can affect pH levels, thereby impacting nutrient absorption. The proposed system employs sensors to continuously monitor the electrical conductivity (EC) and pH levels of the nutrient solution. Fuzzy control is utilized to regulate the nutrient solution pump, automatically adjusting EC and pH levels to promote optimal plant growth. This approach reduces the time burden on producers and provides more precise control over the nutrient solution, resulting in improved growth outcomes. The main contributions of this work are as follows: the development and implementation of an AI-based system integrating a controller, IoT environment, fuzzy logic algorithm, and NFT (nutrient film technology) hydroponics; the creation of a user-friendly interface for farmers through the Smart-Hydroponic application, enabling hybrid monitoring and control of hydroponic farms; the establishment of an IoT-based cloud environment for sensor data monitoring; the implementation of a smart hydroponic system for nutrient sensing, monitoring, and control; and a comparative analysis between smart and conventional hydroponics based on morphological results.
Enhancing IoT Data Security: AES Encryption for Protecting Data in Transit- A Case Study in Smart Agriculture Imam Asrowardi; Septafiansyah Dwi Putra; Eko Subyantoro; Bita Parga Zen
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1361

Abstract

The integration of IoT in smart agriculture facilitates real-time environmental monitoring and efficient farming operations. However, the sensitive nature of data in transit presents significant security challenges, primarily due to threats like data interception and unauthorized access. This study explores the implementation of AES-128 encryption as a solution to secure data transmission within a smart agriculture IoT system. Utilizing NodeMCU microcontrollers with DHT22 sensors, this research investigates the encryption and decryption of environmental data (temperature and humidity) through the MQTT protocol, with Node-RED providing data visualization. Experimental results indicate that AES-128 encryption adds minimal overhead, maintaining real-time system performance while safeguarding data integrity and confidentiality. This encryption framework not only reinforces secure data transmission but also enhances decision-making reliability in agricultural management, underscoring the practical benefits of data security in IoT-based smart farming.
Co-Authors Bita Parga Zen Eko Fajar Cahyadi Eko Subyantoro Heriansyah Heriansyah Imam Asrowardi Kurnia Anggriani Moh Haris Imron S Jaya