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PENGEMBANGAN SISTEM MONITORING ALIRAN DAN KUALITAS AIR SUNGAI MENGGUNAKAN PELAMPUNG BERBASIS SMART ENVIRONMENT Nasution, Subhan Fahmi; Harmadi, Harmadi; Suryadi, Suryadi; Widiyatmoko, Bambang
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.1-12.2024

Abstract

Efficient and accurate river water quality monitoring is needed to support laboratory testing based on on-site sampling. Therefore, we have developed a monitoring system for river flow and water quality using sensor-equipped buoys and the Internet of Things (IoT) concept. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine the position and flow speed and sensors to measure water quality parameters of pH and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy and uploaded and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 3.3% for the pH sensor and 1.02% for the temperature sensor. Thus, the system we have developed has the potential to be used as a substitute for field sampling-based river water quality monitoring systems.
PENGEMBANGAN SISTEM MONITORING ALIRAN DAN KUALITAS AIR SUNGAI MENGGUNAKAN PELAMPUNG BERBASIS SMART ENVIRONMENT Nasution, Subhan Fahmi; Harmadi, Harmadi; Suryadi, Suryadi; Widiyatmoko, Bambang
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.1-12.2024

Abstract

Efficient and accurate river water quality monitoring is needed to support laboratory testing based on on-site sampling. Therefore, we have developed a monitoring system for river flow and water quality using sensor-equipped buoys and the Internet of Things (IoT) concept. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine the position and flow speed and sensors to measure water quality parameters of pH and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy and uploaded and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 3.3% for the pH sensor and 1.02% for the temperature sensor. Thus, the system we have developed has the potential to be used as a substitute for field sampling-based river water quality monitoring systems.
Validation of a Portable Resistive-Sensor Corn Moisture Meter against a Standard Grain Meter Subhan Fahmi Nasution; Sally Irvina Ritonga; Masherlina; Amty Ma'rufah Ardhiyah Dalimunthe; Abdul Floranda
Green Intelligent Systems and Applications Volume 6 - Issue 2 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v6i2.1286

Abstract

Measuring the moisture content of corn kernels was a critical aspect of post-harvest handling, as moisture content directly affected product quality and shelf life. This study validated a portable resistive-sensor-based instrument for measuring corn kernel moisture content by comparing its readings with those obtained using a standard grain moisture meter. The validation involved ten corn kernel samples with moisture contents ranging from 12% to 14% on a wet basis. Each sample was measured using both the standard moisture meter and the portable resistive-sensor instrument under identical conditions. Measurements obtained from the two devices were compared to evaluate their agreement using the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results showed that the portable resistive-sensor instrument achieved an MAE of 0.42% and an RMSE of 0.44% relative to the standard device. These low error values demonstrated that the developed instrument produced consistent measurements and accurately tracked variations in corn kernel moisture content. In addition to its measurement accuracy, the instrument offered several practical advantages, including a simple design, relatively low implementation cost, portability, rapid measurement, and suitability for on-site corn quality assessment. Overall, the resistive-sensor-based instrument provided an economical, practical, and readily implementable alternative for moisture measurement, with potential applications in supporting the drying and storage of agricultural commodities.
RAISING AWARENESS OF DRINKING WATER SAFETY AFTER FLOODING THROUGH pH EDUCATION AND SELF-TESTING KITS IN TANJUNG GUSTA SUBDISTRICT Dona Tiara Lubis; Juli Novita Sari; Subhan Fahmi Nasution
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 6 No. 2 (2026): July-October 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The massive flooding that struck Medan in November 2025 severely affected the Tanjung Gusta neighborhood in Medan Helvetia subdistrict, prompting the Al-Yahdi Medan Foundation to serve as an evacuation center. It also contaminated residents' clean Water sources, while the public still judges Water safety by visual clarity alone, without understanding pH as a key chemical indicator. This community service activity, under the Pioneer Service Program of the Vocational Faculty, Universitas Sumatera Utara, aimed to enhance the knowledge and skills of teachers, students, and parents at Al-Yahdi Foundation in assessing Water potability after the flood through education on pH parameters and training in portable pH meters, complementing simpler pH indicator (litmus) paper. Conducted at Al-Yahdi Foundation from April to November 2026, the activity comprised coordination, instrument design and validation, outreach, demonstrations, hands-on training, distribution of instruments and manuals, mentoring, and pretest–posttest evaluations. Average comprehension scores rose from 43.8 ('insufficient') to 87.0 ('good'). pH of Water samples from partner communities ranged from 5.9 to 7.2, with some outside the safe range set by Indonesia's Ministry of Health (6.5–8.5). This initiative effectively raised public awareness and fostered self-reliance in testing Water quality before consumption during post-flood recovery, supporting Sustainable Development Goals (SDGs) 3 and 6.