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All Journal Journal of Science and Applicative Technology Jurnal Otomasi Kontrol dan Instrumentasi
Gamilang, Ading Atma
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Monitoring pH And Turbidity of Crayfish Pond Using Website and Automation Controlling Using Sugeno Fuzzy Logic Method Gamilang, Ading Atma; Febrina, Melany; Satria, Eko
Journal of Science and Applicative Technology Vol. 9 No. 2 (2025): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i2.2031

Abstract

Crayfish, particularly Cherax Quadricarinatus, hold significant potential for aquaculture due to their high market value and substantial demand both domestically and internationally. The growth of freshwater crayfish is heavily influenced by the pond environment. Several environmental factors affect this growth, including water turbidity, pH, dissolved oxygen, temperature, and ammonia levels. This study focuses on monitoring water turbidity and pH using DFRobot Tubidity SEN0189 and PH-4502C sensors, and displaying the results on a monitoring website. Additionally, a pump filter and aerator are employed as actuators for control. The control method used is Sugeno Fuzzy Logic, which makes control system decisions when sensors detect pH and turbidity values outside the optimal range for crayfish ponds: 6-8 for pH and 5-25 NTU for turbidity. The Sugeno Fuzzy Logic method used has inputs based on sensor readings, each with three membership degrees; for pH, Acid (0-6.5), Neutral (6-8), and Base (7.5-14); and for turbidity, Clear (0-5 NTU), Turbid (4-15 NTU), and Very Turbid (14-25 NTU). The outputs control the pump filter and aerator, with two membership degrees: Off, On, and On-Extended. The sensors have successfully measured pond turbidity with an error of 4.76% and pH with an error of 0.9%. The control system has been successfully implemented, with the pump filter and aerator activating in response to measured conditions in the crayfish pond.
Perancangan Strip Biosensor untuk Deteksi Gula Darah dan Asam Urat Berbasis Elektrokimia Maharsi, Retno; Afifah, Vista Sari; Maizi, Zikra; Gamilang, Ading Atma; Nugroho, Doni Bowo; Mustaqim, Amrina
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.5

Abstract

Rapid and accurate monitoring of glucose and uric acid levels is essential for the early detection of metabolic disorders such as diabetes mellitus and hyperuricemia. This study aims to develop an electrochemical biosensor strip based on a conductive carbon electrode for the detection of glucose and uric acid using glucose oxidase and uricase enzymes. The strip was designed with a three-electrode configuration on an acrylic substrate, which was selected due to its lower resistance and superior coating stability compared to PVC. The signal detection system employed a transimpedance amplifier circuit using the LM358, integrated with an Arduino Uno. Measurements were performed using artificial blood samples with various glucose concentrations (0–200 mg/dL) and uric acid concentrations (0–12 mg/dL). Calibration results demonstrated a linear relationship between analyte concentration and the output current, with R² values approaching 1. After correction, the glucose strip exhibited 92–100% accuracy and 92–97% precision, while the uric acid strip achieved 76–99% accuracy and 96–97% precision. These findings indicate that the developed biosensor strip provides consistent and reasonably accurate measurements, demonstrating its potential as an economical and portable point-of-care device for monitoring glucose and uric acid.
Co-Authors Afifah, Vista Sari Amrina Mustaqim Doni Bowo Nugroho, Doni Bowo Eko Satria Febrina, Melany Maharsi, Retno Maizi, Zikra