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Panangian Mahadi Sihombing
Politeknik Negeri Medan
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Journal : journal of applied informatics and computing

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Multi-LoRa-Based Automatic Drinking Water Transmission System Sri Indah Rezkika; Adinda Juwita Nasution; Andri Ramadhan; Muhammad Fiza Lubis; Panangian Mahadi Sihombing; Aulia Agung Dermawan
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12862

Abstract

Drinking water transmission systems are needed to fill some reservoirs. However, the water level in each reservoir must be monitored constantly to ensure optimal water transmission. Therefore, a device is needed to monitor the water level and automatically control the transmission system. The purpose of this research is to develop a multi-LoRa-based automatic drinking-water transmission system that provides near-real-time water-level information with an average end-to-end latency of 1.2 seconds, meeting the typical requirements for water-level monitoring in remote reservoirs (acceptable delay < 10 seconds). This study uses a prototype experimental approach, validated with a Laser Distance Meter and sticker meters. The star topology connects several LoRa modules that transmit water-level data without internet access. The purpose system consists of several LoRa modules, water-level sensors, liquid crystal displays (LCDs), solenoid valves, and pressure-switch sensors. A pressure sensor switch is installed on the power-supply side of the water pump, controlling the pump based on the water-pressure difference. The result of this study is that the purpose system can automatically control the water pump to fill several reservoirs based on water-level information from each reservoir. This is evidenced by each solenoid valve opening when the water level is below 10 cm and closing when it reaches 70 cm. So that the water pump can be controlled through a pressure sensor switch. The purpose system can also accurately measure water levels, as evidenced by ME ≤ 0.5 cm, MAPE ≤ 4.4%, RMSE ≤ 0.7 cm, and R² ≥ 0.97. These findings demonstrate the potential of the proposed solution as a cost-effective and reliable solution for remote areas without internet infrastructure.
Development of an IoT-Based Broiler Chicken Coop Air Quality Monitoring Prototype Panangian Mahadi Sihombing; Maharani Putri; Tuti Adi Tama Nasution; Muhammad Fiza Lubis; Aulia Agung Dermawan; Muhammad Syahruddin
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12863

Abstract

Inadequate air quality in the cage causes broiler chickens to become stressed, resulting in suboptimal weight gain, even death, and crop failure. Adequate broiler chicken cage air quality parameters include: a temperature range of 22 °C to 32 °C (depending on the chicken's age), a humidity range of 45% to 65%, an O2 level of≥ 19.6%, an NH3 level of ≤ 10 ppm, a CO level of ≤ 10 ppm, and a CO2 level of ≤ 3,000 ppm. Therefore, a technology is needed to monitor the air quality of the chicken coop in near real time. Thus, farmers can provide appropriate and prompt handling to maintain good air quality in the chicken coop. The purpose of this research is to develop a prototype for monitoring the air quality of broiler chicken coops based on IoT. The method used is research and development (R&D) with a prototype manufacturing approach based on the Internet of Things (IoT). The prototype was developed using temperature and humidity sensors (DHT22), NH3, O2, CO, and CO2 sensors. Each sensor is connected to the ESP32, which processes the data and displays it on the liquid crystal display (LCD) and the Thingspeak dashboard. Prototype testing was conducted by comparing the measurement results with those from standard measuring instruments in a closed container. Based on the test results, the prototype measured air quality accurately. This is evidenced by the mean absolute error (MAE) values for each measurement result of the O2 sensor, CO sensor, CO2 sensor, DHT22 sensor, and A02YYUW sensor, which are 0.10 % Vol, 4.46 μmol/mol, 24.20 ppm, 0.71 °C, and 0.13 cm, respectively. Thus, this prototype offers an advantage in measuring air quality in near real time using IoT.
Co-Authors Adinda Juwita Nasution Andri Ramadhan Aulia Agung Dermawan Maharani Putri Mawardi Muhammad Abdhi Ridha Muhammad Fiza Lubis Muhammad Fiza Lubis Muhammad Syahruddin Rafiqah Humaira Sari Novalianda Sri Indah Rezkika Tuti Adi Tama Nasution