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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) InSTEM
Dhemahestri, Melta
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Mathematics Physics Other

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GENETIC ALGORITHM-BASED OPTIMIZATION FOR ADVANCING ENERGY EFFICIENCY AND HARVESTING IN PICO-HYDRO POWER SYSTEMS Dhemahestri, Melta; Rahmawati, Yuni; ., Sujito
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9461

Abstract

This paper presents an integrated optimization framework for pico-hydro power systems using a Genetic Algorithm (GA) approach to improve energy harvesting and efficiency. The study focuses on a crossflow turbine configuration designed for rural applications in East Java, Indonesia. Field measurements were performed on a prototype installation with a net head of 10.2 m and discharge of 0.028 m³/s. The optimization simultaneously adjusts turbine geometry and electronic load controller (ELC) capacity to maximize total system efficiency. The GA model was developed in MATLAB with multi-parameter evaluation across 120 generations and 50 population members. Results indicate that the optimized configuration (nozzle diameter 10 mm, jet angle 22.1°, runner speed 942 rpm, ELC 405 W) achieves a 229 % increase in output power, raising overall efficiency from 18 % to 30 %. The study demonstrates that GA provides a powerful metaheuristic tool for non-linear parameter optimization in pico-hydro systems, enhancing both mechanical and electrical performance. The framework supports sustainable rural electrification by enabling efficient, low-cost renewable energy deployment. This study contributes to the advancement of intelligent optimization methods for small-scale renewable energy systems in developing countries.
Capacity Building for Elementary School Teachers in the Implementation of Science Literacy through Outreach Using an Environment-Based STEAM Approach Prastyaningrum, Ihtiari; Alfina, Alisa; Dhemahestri, Melta; Muhammad Iqbal S. M.
Jurnal Inovasi Sains dan Teknologi Untuk Masyarakat Vol. 4 No. 1 (2026): Mei
Publisher : Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/instem.v4i1.60000

Abstract

Science literacy is an important competency in 21st-century learning because it is related to the ability to understand scientific concepts and apply them in everyday life. However, students' science literacy skills are still relatively low, partly due to the teacher-centered learning process and the suboptimal use of the environment as a learning resource. Therefore, efforts are needed to improve teachers' capacity in designing contextual and innovative learning. This community service activity aims to improve elementary school teachers' capacity to apply science literacy learning through an environment-based STEAM approach. This community service activity was carried out at Kwadungan Public Elementary School using several stages, namely needs analysis, material socialization, STEAM paradigm reconstruction, science literacy workshops, environmental exploration, and activity evaluation. The results of the activity show that before the activity was carried out, most teachers did not understand the concept of STEAM learning and did not optimally utilize the surrounding environment as a learning resource. After participating in the socialization and training activities, teachers began to understand the basic concepts of STEAM and were able to identify the potential of the environment as a contextual learning resource. Thus, this activity contributed to improving teachers' capacity in terms of understanding, knowledge, and skills in designing innovative and contextual science literacy learning.
Co-Authors Alisa Alfina Ihtiari Prastyaningrum, Ihtiari Muhammad Iqbal S. M. Yuni Rahmawati