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Exploring Research Trends and Themes in Intelligent Transportation Systems in the Last 10 Years (2014 – 2023) Hasrul, M. Reza; Rahman, Mohammad Junaedy; Helmy, Ahnaf Riyandirga Ariyansyah Putra; Cheng, Aw Yoke; Ahsan, Muhammad
International Journal of Environment, Engineering and Education Vol 5 No 3 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i3.90

Abstract

Intelligent Transportation Systems (ITS) are actively working towards transforming transportation systems by implementing solutions that improve the quality and quantity of transportation and traffic data at both individual and collective levels. This research aims to comprehensively analyze the field of Intelligent Transportation Systems (ITS) through a thorough bibliometric analysis covering the period from 2014 to 2023. The goal is to gain an in-depth understanding of the evolution of ITS research. This research employs bibliometric analysis to uncover trends and patterns in studies related to "Intelligent Transportation Systems." The research data is sourced from the Scopus database, encompassing information from document titles, abstracts, and keywords. The time frame considered for this study spans from 2014 to 2023. Studies were identified using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) framework. From the 39,846 records identified from the Scopus database, 1,839 studies were included in the analysis. Subsequently, the results are analyzed using the VOS viewer software. The analysis highlights a significant shift in research focus, with core themes like "intelligent transportation sys," "vehicle," "algorithm," and "system" remaining central. Cybersecurity and associated risks have gained prominence due to increased connectivity in ITS. The study identifies promising research directions, including experimental technology validation, real-time traffic management solutions, and IoT and smart city concept integration. This research provides a comprehensive and novel overview of the ITS field's evolution and trends, offering actionable insights for advancing intelligent transportation systems.
Exploration of Students' Abilities in Solving Mathematical Literacy Problems on Geometry Material Using Polya's Steps Ramalia, Tryza; Effie Efrida Muchlis; Edi Susanto; Cheng, Aw Yoke
International Journal of Geometry Research and Inventions in Education (Gradient) Vol. 1 No. 2 (2024)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/gradient.v1i2.1269

Abstract

Students face challenges in understanding the minimum competency assessment (AKM) mathematical literacy questions, as they struggle to interpret and solve the problems effectively. This difficulty stems from their low comprehension of the questions and limited problem-solving skills, particularly when confronted with questions differing from the examples provided by the teacher. This study investigates students’ abilities to solve AKM mathematical literacy questions using Polya’s problem-solving steps. The research is descriptive with a qualitative approach, involving a population of all Grade VIII students at SMP 21 Bengkulu City during the 2023/2024 academic year. The sample consisted of 30 students from class VIII.3 and 30 from class VIII.6. Data collection included test and non-test (interview) methods, utilizing AKM-based test instruments and Polya step-guided problem-solving tasks. Results indicated that 44 students (73.33%) demonstrated low ability, 11 students (18.33%) showed medium ability, and only 5 students (8.33%) exhibited high ability in solving AKM literacy questions. Overall, students’ problem-solving skills were categorized as low, with notable difficulties in planning, executing, and reviewing solutions to mathematical problems.