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All Journal BALANGA: Jurnal Pendidikan Teknologi dan Kejuruan PARENTAS: Jurnal Mahasiswa Pendidikan Teknologi dan Kejuruan
Radifan Rahman
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Education Energy Engineering Transportation Other

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DEVELOPMENT OF A DATA LOGGER-BASED WATER LEVEL MONITORING SYSTEM FOR PEATLANDS Cassiophea, Lola; Maya Erliza Anggraeni; Vontas Alfenny Nahan; Indah Gumilang Dwinanda; Radifan Rahman; Muhammad Firza; Elvan; Fajar Sukmawan Aritama Harsono Putra; Fherdika Boy; Julian Prakarsa; Nathanael Yanuar Kristianto; Gagas Wira Syahputra; Frans Putra Genesa; Berta Uli Octa Agrayani Br.Marbun; Chairul Basir
BALANGA: Jurnal Pendidikan Teknologi dan Kejuruan Vol. 13 No. 1 (2025): Journal Balanga Edisi Januari-Juni 2025
Publisher : Jurusan Pendidikan Teknologi dan Kejuruan, FKIP, Universitas Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/balanga.v13i1.18390

Abstract

This study investigates the dynamics of water level (TMA), electrical current, power, and battery voltage in a data loggerbased monitoring system designed for peatlands. Data collected from October 30 to December 4, 2024, highlight significant fluctuations influenced by environmental factors, load surges, and voltage disruptions. Scenario simulations, including changes in rainfall, sudden load increases, and voltage system disturbances, were performed to evaluate the system's operational efficiency and stability. The findings indicate that TMA is highly influenced by hydrological conditions, where a 50% reduction in rainfall significantly decreases TMA, impacting the stability of current and power. A 50% load surge drives the current and power close to the system's maximum capacity, while voltage disruptions lead to a 20% increase in current and a 20% reduction in power, revealing system imbalances. Energy efficiency remains stable under normal conditions (0.0022) but drops significantly during disruptions. The study underscores the need for integrating protective technologies, such as Automatic Voltage Regulators (AVR), Overcurrent Protection, and balanced load management, to mitigate risks and maintain system stability. Additionally, improved water management in peatlands contributes to stabilizing TMA and reducing environmental impacts on electrical parameters. This research highlights the importance of a holistic approach, combining technology, hydrological management, and data-driven simulations, for sustainable operations. The findings offer practical recommendations for system enhancement, risk mitigation, and the development of future energy monitoring tools. Opportunities for renewable energy integration are also explored to ensure long-term operational efficiency and environmental sustainability.
UTILIZATION OF CAR PARKING ULTRASONIC SENSORS AS HYBRID TECHNOLOGY FOR MONITORING PEAT WATER LEVEL BASED ON INTERNET OF THINGS (IoT) AND DATA LOGGER WITH FIREBASE WEB Radifan Rahman; Vontas Alfenny Nahan; Lola Cassiophea; Wiyogo
PARENTAS: Jurnal Mahasiswa Pendidikan Teknologi dan Kejuruan Vol. 10 No. 1 (2024): Journal Parentas Edisi Januari-Juni 2024
Publisher : Jurusan Pendidikan Teknologi Dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/parentas.v10i1.14553

Abstract

Peatland water level monitoring systems have been developed to facilitate water level readings. Currently, car parking sensors are rarely used for this purpose. The tool used in this research is a hybrid technology of iot-based car parking sensors and data loggers. Water level (TMA) data is analyzed using a data logger and Firebase web. The data logger records data which is then integrated on the Firebase web to facilitate remote monitoring. Data (TMA) is sent every hour, so in one day the tool will send data 24 times. The status that can be seen from the Firebase web dashboard includes water level (TMA), water condition indicators (safe, caution, danger), last data update status, tool placement map, and a collection of data history. This research uses a pre-experiment method this tool requires a current of 200 mAh, a 10 watt peak solar panel, and a 12.5 ampere hour battery to turn on constantly. The utilization of ultrasonic sensor with esp 32 microcontroller is effective in recording Real-Time water level data. Iot plays an important role because it allows monitoring (TMA) from anywhere with internet availability. The maximum water level reading data occurred on November 31, 2023 at 40 cm from the peat soil surface and is comparable to the rainfall data on November 29, 2023 at 2.2 mm / day (Light Rain). The minimum water level reading occurred on December 16, 2023 at -5 cm (flooding) from the peat soil surface and was proportional to the rainfall data on December 16, 2023 of 53 mm/day (Heavy Rain). So it can be concluded that the minimum and maximum water level distance data fall into the safe category for peatland water levels that are between 0-40 cm (PP No. 57 of 2016).
Co-Authors Berta Uli Octa Agrayani Br.Marbun Cassiophea, Lola Chairul Basir Elvan Fajar Sukmawan Aritama Harsono Putra Fherdika Boy Frans Putra Genesa Gagas Wira Syahputra Indah Gumilang Dwinanda Julian Prakarsa Lola Cassiophea Maya Erliza Anggraeni Muhammad Firza Nathanael Yanuar Kristianto Vontas Alfenny Nahan Wiyogo