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All Journal Brilliance: Research of Artificial Intelligence
Saputra, Rama Nurja
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Decision Sciences, Operations Research & Management Mathematics Other

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Application of Internet of Things Technology in Monitoring Water Quality in Fishponds Putra , Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Saputra, Rama Nurja; Haris, Farras Maulana; Barokah, Selviana Nur Rizqi
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4231

Abstract

Monitoring water quality in fish ponds is essential to maintain fish health and productivity. In recent years, Internet of Things (IoT) technology has emerged as an effective solution to efficiently monitor and manage water quality. This article describes the application of IoT technology in monitoring the water quality of aquaculture ponds with the aim of improving fish productivity and welfare. Data on water quality parameters such as temperature, dissolved oxygen, pH, ammonia levels, and turbidity can be monitored in real time through a network of connected sensors. The main advantage of using IoT for fish pond water quality monitoring is that it can provide accurate and fast information on water conditions. This allows fish farmers to proactively take appropriate actions to maintain an optimal water environment for fish growth. In addition, integration with data management and remote monitoring systems allows fish pond owners to continuously monitor water conditions, even in remote locations. This helps reduce the risk of environmental damage and fish loss due to inappropriate water quality conditions. Therefore, the use of IoT technology for water quality monitoring in fish ponds not only increases productivity but also ensures the well-being of fish and reduces negative impacts on the environment.
Wireless Network Design at Pamekasan Regency Public Library Putra , Fauzan Prasetyo Eka; Irfan, Moh.; Aziz, Mohammad; Saputra, Rama Nurja
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5876

Abstract

The increasing demand for internet access in public service spaces, such as libraries, necessitates a reliable and efficient wireless network. This study aims to design a wireless network for the Pamekasan Regency Public Library to enhance user experience in accessing digital resources. The methodology includes a site survey, analysis of user needs, simulation of access point (AP) placement using Ekahau software, and evaluation based on signal strength, coverage, and user traffic. The study was conducted across three types of libraries: public, school, and campus libraries in Pamekasan. Each location was assessed for building structure, user density, and interference sources. The simulation results determined optimal AP placement, utilizing dual-band (2.4 GHz and 5 GHz) access points to achieve minimum signal levels of -67 dBm and a Signal-to-Noise Ratio (SNR) above 25 dB. The findings indicate that the proposed network design can provide stable, wide-ranging wireless access in all key service areas. This study concludes that effective network design, based on detailed site surveys and technical simulations, is crucial for supporting digital library services. The proposed design contributes to improving information access and is expected to serve as a reference for similar implementations in other public institutions.     
Application of Internet of Things Technology in Monitoring Water Quality in Fishponds Putra , Fauzan Prasetyo Eka; Ubaidi, Ubaidi; Saputra, Rama Nurja; Haris, Farras Maulana; Barokah, Selviana Nur Rizqi
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4231

Abstract

Monitoring water quality in fish ponds is essential to maintain fish health and productivity. In recent years, Internet of Things (IoT) technology has emerged as an effective solution to efficiently monitor and manage water quality. This article describes the application of IoT technology in monitoring the water quality of aquaculture ponds with the aim of improving fish productivity and welfare. Data on water quality parameters such as temperature, dissolved oxygen, pH, ammonia levels, and turbidity can be monitored in real time through a network of connected sensors. The main advantage of using IoT for fish pond water quality monitoring is that it can provide accurate and fast information on water conditions. This allows fish farmers to proactively take appropriate actions to maintain an optimal water environment for fish growth. In addition, integration with data management and remote monitoring systems allows fish pond owners to continuously monitor water conditions, even in remote locations. This helps reduce the risk of environmental damage and fish loss due to inappropriate water quality conditions. Therefore, the use of IoT technology for water quality monitoring in fish ponds not only increases productivity but also ensures the well-being of fish and reduces negative impacts on the environment.
Co-Authors Aziz, Mohammad Barokah, Selviana Nur Rizqi Haris, Farras Maulana Irfan, Moh. Putra , Fauzan Prasetyo Eka Ubaidi, Ubaidi