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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Aptisi Transactions on Technopreneurship (ATT) Indonesian Journal of Electrical Engineering and Computer Science
Febdian Rusydi
Research Center For Quantum Engineering Design, Faculty Of Science And Technology, Airlangga University, Mulyorejo Street, Surabaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Materials Science & Nanotechnology Physics Social Sciences

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Evaluation of the Electronic Structure Resulting from ab-initio Calculations on Simple Molecules Using the Molecular Orbital Theory Samuel E P P Masan; Fitri N Febriana; Andi H Zaidan; Ira Puspitasari; Febdian Rusydi
Jurnal Penelitian Pendidikan IPA Vol. 7 No. 1 (2021): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v7i1.545

Abstract

Hartree Fock (HF) and Density Functional Theory (DFT) have been commonly used to model chemical problems. This study uses the Molecular Orbital Theory (MOT) to evaluate the electronic structure of five diatomic molecules generated by HF and DFT calculations. The evaluation provides an explanation of how the orbitals of a molecule come to be and how this affects the calculation of the physical quantities of the molecule. The evaluation is obtained after comparing the orbital wave functions calculated by MOT, HF, and DFT. This study found that the nature of the Highest Occupied Molecular Orbital (HOMO) of a molecule is determined by the valence orbital properties of the constituent atoms. This HOMO property greatly influences the precision of calculating the molecular electric dipole moment. This shows the importance of understanding the orbital properties of a molecule formed from the HF and DFT calculations
Pattern Recognition of Overhead Forehand and Backhand in Badminton Based on the Sign of Local Euler Angle Muhammad Ilhamdi Rusydi; Syamsul Huda; Febdian Rusydi; Muhammad Hadi Sucipto; Minoru Sasaki
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp625-635

Abstract

Studying the badminton skill based on the arm movement is a challenge since the limitation of the sensor such as camera to record the movement parameter. This study proposed a new method to determine the pattern of arm movement for forehand and backhand strokes in badminton based on the sign of the local Euler angle gradient from four points of right arm segments. Each segment was identified by motion sensor attached to the dorsal surface of the hand (sensor 1), wrist (sensor 2), elbow (sensor 3) and shoulder (sensor 4). Three certified coaches participated in this research to determine the arm movement patterns for forehand and backhand strokes. Skills in forehand and backhand strokes from eight professional players and eight amateur players were observed to determine the pattern. The result showed that the local Euler angle can be used to recognize the arm movement pattern. Based on the observed patterns, the professional players had a higher similarity to the coaches’ patterns than those amateur players to the coaches’.
A Comparative Analytical Approach for Predicting Continuance Intention in Mutual Fund Investment Apps Puspitasari, Ira; Rusydi, Febdian; Iahad, Noorminshah A.; Yasin, Affan
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.505

Abstract

Global economic challenges have spurred a rise in household investments worldwide, including in Indonesia. By 2023, retail investors in Indonesia’s capital market have quadrupled, reaching over 12 million, with mutual fund investors driving this surge. Many new investors use mutual fund investment applications to purchase and manage their portfolios. Despite this growth, providers face challenges in maintaining user loyalty and increasing average investments due to Indonesia’s low financial literacy rate of 38.03%. This study investigates the factors influencing users’ adoption and continuous use of mutual fund investment apps. It examines the relationships between perceived service quality, perceived security and privacy, trust, familiarity, user satisfaction, and continuance intention. The research uses a comparative approach, combining Structural Equation Modeling (SEM) with machine learning regression models, including linear regression, support vector regression, and multilayer perceptron, to create a robust and comprehensive model. The findings reveal that trust significantly impacts both user satisfaction (β = 0.463, p < 0.001) and continuance intention (β = 0.194, p < 0.05). Perceived service quality strongly influences user satisfaction (β = 0.523, p < 0.001), while familiarity plays a key role in fostering trust (β = 0.224, p < 0.001) and encouraging continued use (β = 0.206, p < 0.001). Based on these results, strategies to enhance user loyalty, such as improving security, services, and providing transparent recommendations, are proposed. This study contributes to understanding digital investment behavior in emerging markets and offers insights for expanding financial inclusion.
Co-Authors Andi H Zaidan Fitri N Febriana Ira Puspitasari Ira Puspitasari Minoru Sasaki Muhammad Hadi Sucipto Noorminshah A. Iahad Rusydi, Muhammad Ilhamdi Samuel E P P Masan Syamsul Huda Yasin, Affan