Jurnal Perikanan
Vol 16 No 3 (2026): JURNAL PERIKANAN

IDENTIFICATION OF pH SENSOR SENSITIVITY LEVELS ACROSS VARIOUS AQUATIC ECOSYSTEMS BASED ON DIRECT MEASUREMENT WITH WIRELESS DATA COMMUNICATION

Halil Akhyar (University of Mataram)
Ariyan Zubaidi (Faculty of Engineering, University of Mataram)
Ramaditia Dwiyansaputra (Faculty of Engineering, University of Mataram)
Mohammad Zaenuddin Hamidi (Faculty of Engineering, University of Mataram)
Susi Rahayu (Faculty of Mathematics and Natural Sciences, University of Mataram)
Kasnawi Al Hadi (Faculty of Mathematics and Natural Sciences, University of Mataram)
Ni Ketut Anggriani (Master of Natural Science Education, University of Mataram)



Article Info

Publish Date
30 Jun 2026

Abstract

Characterizing sensor sensitivity across various aquatic ecosystems is essential for determining the sensor's ability to accurately detect pH changes under real-world field conditions. Given this context, this study aims to assess the sensitivity of a capacitive pH sensor in several aquatic ecosystems through in situ measurements. This study utilized several water samples for direct calibration and testing. Four water samples with known pH levels were used for calibration. For the subsequent testing phase, water samples were collected from the following ecosystems: ecosystem 1 (river), ecosystem 2 (rice field), ecosystem 3 (estuary), ecosystem 4 (sea), and ecosystem 5 (fish pond). The system was built using an Arduino MEGA+ESP8266 microcontroller. Regarding the sensor component, a pH sensor (DF-Robot) with an analog signal output was employed. The calibrated system was examined using five different water ecosystems. The results show that the system was calibrated, with a span of 6.47-7.50. The sensitivity levels depend on the ecosystem conditions (0.08 V/pH level). The findings are expected to provide a scientific basis for developing more reliable pH sensors and to support sustainable water quality monitoring and mitigation efforts.

Copyrights © 2026






Journal Info

Abbrev

JP

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Jurnal ini memuat artikel yang berhubungan dengan hasil penelitian di bidang perikanan dan ilmu kelautan yang meliputi 1. teknologi penyediaan pakan buatan 2. rekayasa akuakultur 3. teknologi pembenihan dan pembesaran ikan 4. rekayasa genetik 5. teknologi pengendalian hama dan penyakit ikan 6. ...