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Nurturing Character: A Comparative Study Of Elementary Education In Indonesia And Japan Aulia, Egi Dina; Saputro, Bayu Aji
Waskita: Jurnal Pendidikan Nilai dan Pembangunan Karakter Vol. 8 No. 2 (2024): WASKITA: Jurnal Pendidikan Nilai dan Pembangunan Karakter
Publisher : PUSAT MPK UNIVERSITAS BRAWIJAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.waskita.2024.008.02.6

Abstract

Character education is crucial for addressing the negative impacts of technology on children's development. In this context, schools play a vital role in shaping individuals according to the norms and rules prevalent in society. This research aims to describe the efforts made in character development among elementary school students in Indonesia and to compare these efforts with those implemented in the Japanese education system. Through a literature study, this research explores the concrete steps taken by schools to improve character education.The findings indicate that support from the community, non-governmental organizations, and the government in Japan holds significant potential for adoption by schools in Indonesia. Several effective practices identified, such as integrated approaches and community support, can enhance the quality of character education in elementary schools. By implementing these methods, it is expected that schools in Indonesia can produce students who are not only academically intelligent but also possess good moral values and social responsibility. The role of school leaders is crucial in ensuring effective character education by managing the available support and resources to achieve these goals.
Hydrogen-rich syngas production of solid waste supercritical water gasification multi-objective process optimization Saputro, Bayu Aji; Surjosatyo, Adi; Sari, Wanda Rulita; Dafiqurrohman, Hafif; Qossam, Izzuddin Al; Lestari, Puspa
International Journal of Renewable Energy Development Vol 14, No 4 (2025): July 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60848

Abstract

The increasing population and changing lifestyles have led to significant solid waste accumulation, necessitating efficient waste management to prevent environmental and health issues. Supercritical water gasification (SCWG) is an effective method for converting high-moisture biomass into hydrogen-rich syngas, operating at temperatures above 374°C and pressures above 490MPa. The objective of this study was to develop and validate an integrated modeling and multi-objective optimization framework, combining Response Surface Methodology (RSM), Artificial Neural Networks (ANN), and Multi-Objective Genetic Algorithm (MOGA) to maximize hydrogen-rich syngas production from municipal solid waste through SCWG. The research models and predicts the effects of feed concentration, residence time, and reaction temperature on hydrogen yield, lower heating value (LHV), and gas yield. The integrated RSM and ANN models demonstrated high predictive accuracy with R² values exceeding 0.95. Optimization results from MOGA identified optimal parameters: a feed concentration of 2%, a reaction temperature between 490-495°C, and a residence time of 80 minutes. These conditions achieved H2 selectivity of 84.73%, an LHV of 6.95 MJ/Nm³, and a gas yield of 29.7%. The findings highlight the dominant influence of reaction temperature and residence time on hydrogen production, while feed concentration requires careful balance for optimal syngas quality. This study demonstrates that the combined use of RSM, ANN, and MOGA provides an effective framework for optimizing SCWG processes, offering practical insights for industrial-scale applications. Future research should explore additional variables such as biomass composition, pressure, and catalysts to enhance the efficiency and sustainability of hydrogen production from solid waste, supporting SCWG as a viable technology for sustainable energy production and effective waste management.