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All Journal Journal of Advanced in Information and Industrial Technology (JAIIT) JRSI (Jurnal Rekayasa Sistem dan Industri)
Valentinus Galih Vidia Putra
Politeknik STTT Bandung, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Enhanced Quantum Wave function for Mathematical Modeling of Hydrogen and Helium Ionization Energies: Engineering Applications to Plasma Particle Formation Valentinus Galih Vidia Putra; Wiwiek Eka Mulyani; Isom Hilmi; Fadil Abdullah; Taufik Munandar; Markus Paramahasti
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.9966

Abstract

Our research developed a computational model to calculate ionization energies of hydrogen and helium atoms through an enhanced variational method with a modified trial wave function in plasma generator. We implemented this approach in MATLAB v.7.12.0 (R2011a), incorporating key physical constants, such as reduced mass, Planck’s constant, and vacuum permittivity, within the framework of the time-independent Schrödinger equation. For hydrogen, a single-electron system, our model yielded an ionization energy of 13.6 eV, matching the established experimental value precisely. For helium, as we know, electron interactions complicate calculations; our optimized variational parameter estimated an ionization energy of approximately 32 eV, compared to the experimental value of about 25 eV, reflecting minor simplifications in our assumptions. This method proves reliable and computationally efficient, making it valuable for quantum-based plasma research, AI-integrated computational science, and studies of atomic-scale phenomena like corona plasma particle formation. Our comparative analysis confirms the variational technique’s accuracy, providing a strong foundation for advancing research in plasma physics and quantum mechanics
Prototype Development of a Real-Time Monitoring System Based on Android and Cloud Database for Textile Non-Thermal Plasma Treatment Fadil Abdullah; Valentinus Galih Vidia Putra; Siti Nur Hamidah; Hafizah Aprilia
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.686

Abstract

The textile modification process using plasma treatment requires accurate monitoring of gas species generated during operation; however, no system is currently available to measure these gas concentrations in real time. To address this gap, this study develops a plasma gas monitoring system for textile material modification, using experimental data obtained from laboratory tests conducted in 2024. The research employs a practical prototyping approach consisting of four stages: requirement identification, system design, prototype construction, and performance validation. The system is designed to continuously record plasma-generated gas concentrations and store the data in an internet-based database. The prototype consists of two main components: (1) a sensing unit built on an Arduino Uno microcontroller integrated with DHT-11 and MQ-131 sensors for measuring temperature, humidity, and ozone concentration, and (2) a data management platform using Google Spreadsheet connected to a mobile application to enable real-time monitoring and control. Evaluation results show that the monitoring tool achieved a Mean Absolute Error (MAE) of 0.6625 ppm, indicating that the system provides reasonably accurate measurements for initial validation. As this assessment is preliminary, future studies should employ a larger dataset to increase statistical robustness and further verify system performance. Overall, the findings contribute to the development of an accessible, Android-based plasma treatment monitoring system capable of supporting real-time monitoring in textile material modification applications.   
Co-Authors Fadil Abdullah Hafizah Aprilia Isom Hilmi Markus Paramahasti Siti Nur Hamidah Taufik Munandar Wiwiek Eka Mulyani