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All Journal International Journal of Applied Power Engineering (IJAPE) Integrated Science Education Journal
Tindyo Prasetyo
Universitas Muhammadiyah Surakarta
Education Electrical & Electronics Engineering Social Sciences

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Hydroelectric power generator using vertical axis turbine with adaptive blades Rizki Nurilyas Ahmad; Soraya Komala Firdaus; Mohammad Nasrul Mubin; Hasyim Asy'ari; Tindyo Prasetyo; Iqbal Reza Pradana
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp636-645

Abstract

The implementation of micro-hydro power plants (MHPPs) offers a strategic solution for achieving energy independence, particularly within remote communities. This study proposes the development of a hydroelectric power generator with a vertical axis turbine, designed not only as a source of clean energy but also to minimize visual pollution. The system maximizes submerged components, thereby reducing its visual impact. Although MHPPs technology is widely applied to address electrification challenges in remote areas, the system proposed in this study, with its components predominantly submerged below the water surface, offers a visually unobtrusive solution that is also well-suited for urban environments. However, conventional locked-blade turbines often experience significant efficiency losses due to counter-flow pressure acting on blades moving against the water stream, highlighting the need for an adaptive mechanism to minimize drag and optimize energy capture. The hydroelectric power generator using vertical axis turbine with adaptive blades consistently demonstrated better performance than a system using locked blades. The adaptive-blade configuration outperformed the locked-blade system, exhibiting a 5.1% increase in average turbine efficiency and a 3.5% improvement in overall system efficiency.
Analysis of the TDS Sensor Reading Accuracy Between Arduino Uno and ESP32 Microcontrollers for Water Clarity Measurement Abdul Rahman; Tindyo Prasetyo
Integrated Science Education Journal Vol 7 No 4 (2026): July
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i4.3531

Abstract

Purpose of the study: This study aims to evaluate and compare the reading accuracy of a TDS sensor when interfaced with Arduino UNO and ESP32 microcontrollers, specifically in the context of water clarity measurement applications, by assessing voltage reading precision, data acquisition stability, and measurement consistency across varying dissolved solids concentrations. Methodology: Hardware used includes a TDS sensor, Arduino UNO (ATmega328P, 10-bit ADC), ESP32 NodeMCU (12-bit ADC), and a calibrated TDS meter as the reference instrument. The study employs the Waterfall methodology with direct laboratory observation, potentiometer testing, and voltage measurement across water samples at concentrations of 101, 201, 300, 406, and 515 PPM, each repeated three times at room temperature (~20–21°C). Main Findings: Arduino UNO demonstrated superior accuracy with average voltage errors ranging from 0.21% to 2.12% across all TDS concentrations, compared to ESP32's errors of 13.1% to 54.32%. The ESP32 critically misread a 101 PPM water sample as 48 PPM, yielding a 54.32% error — a failure that would result in a misclassification of water clarity category. Arduino UNO's standard deviation was 0.064 ADC versus ESP32's 2.019 ADC, confirming 31.5 times greater measurement stability. Novelty/Originality of this study: This study offers a direct, multi-parameter comparison of Arduino UNO and ESP32 specifically for TDS-based water clarity measurement, exposing a critical non-linearity flaw in the ESP32's ADC performance at low-voltage ranges (<10% Vref) that has not been previously documented in this application context.
Co-Authors Abdul Rahman Hasyim Asyari Iqbal Reza Pradana Mohammad Nasrul Mubin Rizki Nurilyas Ahmad Soraya Komala Firdaus