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Evaluation of foot analysis in the presence of dental malocclusion: A systematic review Sofyanti, Ervina; Alhasyimi, Ananto Ali; Farmasyanti, Cendrawasih Andusyana; Purbiati, Maria; Mardiati, Endah; Narmada, Ida Bagus; Utomo, Haryono; Gio, Prana Ugiana; Marya, Anand
Dental Journal (Majalah Kedokteran Gigi) Vol. 57 No. 4 (2024): December
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/j.djmkg.v57.i4.p317-323

Abstract

Background: Previous studies have reported that the imbalance of occlusion, cervical spine, length of the limb, and asymmetric leg length are related to the presence of muscle compensation. These issues influence some strategies in orthodontic diagnosis for developing an updated stomatognathic system over multidisciplinary care issues. Purpose: This study aimed to obtain orthodontic findings and an orthopedic relationship between foot posture/function and dental malocclusion based on cross-sectional studies. Review: Some findings about postural system disequilibrium in static and dynamic foot postural related to occlusal changes have been reported following the mixed dentition phase. From 248 articles, 5 articles were selected and assessed with the Joanna Briggs Institute critical appraisal cross-sectional checklist and analyzed. Conclusions: Although the selected eligible articles demonstrated a low risk of bias in agreement (p > 0.05) among authors, the evaluation of those cross-sectional studies is still limited and requires further longitudinal studies with precise diagnostic parameters. Those parameters for evaluating the relationship between foot posture and malocclusion should encompass both static and dynamic approaches, including those related to mandibular position, tongue posture and function, bad habits, and temporomandibular disorder.
Bibliometric analysis of model vehicle routing problem in logistics delivery Zuhanda, Muhammad Khahfi; Hartono, Hartono; Sidik Hasibuan, Samsul Abdul Rahman; Abdullah, Dahlan; Gio, Prana Ugiana; Caraka, Rezzy Eko
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp590-600

Abstract

This bibliometric analysis focuses on the vehicle routing problem (VRP) model in the field of logistics delivery. The study utilizes a comprehensive dataset of 2,000 VRP-related publications obtained from the Scopus database, spanning the years 2007 to 2023. Through the application of bibliometric methods, this research aims to uncover key insights regarding research trends, country contributions, and recent topics within the VRP research network. Various bibliometric indicators, including publication count, author productivity, relevant sources, institutional affiliation, and citation frequency, are employed to conduct the analysis. The findings shed light on the evolution and trajectory of VRP research, while also highlighting noteworthy countries and topics that have received significant attention. This study not only enhances the overall understanding of VRP but also serves as a foundation for future investigations aimed at enhancing the efficiency and effectiveness of logistics delivery.
ANALISIS PLS-SEM TERHADAP KESIAPAN DIGITAL ORANG TUA SISWA SMAN 2 KABANJAHE DALAM MENGHADAPI ERA INDUSTRI 4.0 br Tarigan, Anastasya Primsa; br Tarigan, Enita Dewi; Zahedi, Zahedi; Gio, Prana Ugiana
MES: Journal of Mathematics Education and Science Vol 11, No 1 (2025): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v11i1.12111

Abstract

The Fourth Industrial Revolution has significantly transformed various aspects of life, including education. The rapid advancement of digital technology requires society, including parents, to adapt, particularly with the implementation of online school enrollment systems. However, this situation creates challenges for parents unfamiliar with technology, leading to a digital divide. This study examines the factors influencing parents’ digital readiness at SMAN 2 Kabanjahe using the Technology Readiness Index (TRI), which evaluates individual attitudes toward technology through four dimensions: optimism, innovativeness, discomfort, and insecurity. A quantitative approach was employed with data collected from 80 parents via online questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) in Smart-PLS 4.0. The results show an R² value of 0.615, indicating that 61.5% of the variance in digital readiness is explained by the model. Optimism has a significant positive effect, while discomfort has a significant negative effect. Conversely, innovativeness and insecurity do not significantly influence digital readiness. These findings highlight the applicability of the TRI model in assessing digital readiness, particularly in the educational context.
Monte Carlo Simulation Approach to Determine the Optimal Solution of Probabilistic Supply Cost Ramadan, Helmi; Gio, Prana Ugiana; Elly Rosmaini
Journal of Research in Mathematics Trends and Technology Vol. 2 No. 1 (2020): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v2i1.3752

Abstract

Monte Carlo simulation is a probabilistic simulation where the solution of problem is given based on random process. The random process involves a probabilitydistribution from data variable collected based on historical data. The used model is probabilistic Economic Order Quantity Model (EOQ). This model then assumed use Monte Carlo simulation, so that obtained the total of optimal supply cost in the future. Based on data processing, the result of probabilistic EOQ is $486128,19. After simulation using Monte Carlo simulation where the demand data follows normal distribution and it is obtained the total of supply cost is $46116,05 in 23 months later. Whereas the demand data uses Weibull distribution is obtained the total of supply stock is $482301,76. So that, Monte Carlo simulation can calculate the total of optimal supply in the future based on historical demand data.