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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
Development of An Adjustable Welding Table for Welding Needs in A Production Workshop PT Envicon Ekatama using the French Method Agus Widodo; Merdieco Rivandi; P Yudi Dwi Arliyanto; Muhammad Alif Ihsan; Fadil Abdullah; Rizal Prasetyo
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.10034

Abstract

This research focuses on the development of an adjustable welding table for welding needs in the production workshop of PT. Envicon Ekatama, using the French design method. The background of the research shows that the existing conventional welding table causes discomfort and safety issues for welding operators, such as hunched postures and non-ergonomic overhead positions, as well as table sway that can cause workpieces to fall. The research method involved problem analysis, development of two design concepts using Autodesk AutoCAD 2016, concept confirmation through scoring, and concept detailing. The second concept, which considered high mobility with the addition of wheels and adjustable height settings, was selected as the best design based on operator assessment scores. Comparison of Figures from the Research, Operator comfort of conventional welding table (existing), total comfort score of 12 out of 30. Adjustable welding table (Concept 2) total comfort score of 22 out of 30. Effectiveness of using conventional welding table (existing) total effectiveness score of 16 out of 30. Adjustable welding table (Concept 2) total effectiveness score of 22 out of 30. Increased effectiveness by 37.5%. The designed adjustable welding table allows the operator to adjust the table height according to the workpiece conditions and individual needs, thereby increasing comfort in various welding positions. The design also includes detailed drawings for the base plate, lifting rod, welding table area, and top support, as well as a clear installation sequence.
Optimization of Internet of Things-Based Infusion Monitoring and Control System (OSPKI - IoT) Manase Sahat H Simarangkir; Ricky Johannes; Rita Purnamasari; Neil Royan; Nita Winda Sari; Fadil Abdullah
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.v12i02.10035

Abstract

Nurses have an important role in patient care in hospitals, but excessive workload can cause errors in monitoring IV fluids. This research aims to develop an Internet of Things (IoT) based infusion monitoring and control system to increase efficiency and accuracy in managing infusion fluids. The system developed is capable of monitoring the volume of infusion fluid, counting drops per minute, and controlling the infusion speed automatically, as well as connecting to a database for online monitoring. The research method uses an experimental method with Waterfall model-based system development, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance.. Test results show that the system can work accurately in monitoring various types of infusion fluids with a low error rate. It is hoped that the development of this system can reduce the risk of infusion monitoring errors and improve patient safety in hospitals. The novelty of this study lies in the integration of IoT-based infusion drip speed control automation in real time via a website with sensor accuracy below 1%, which has not been widely implemented in similar studies in Indonesian clinical settings.
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.