Ade, Jimoh Azeez
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Analysis of Student's Misconceptions in The Subject Material Circle in View of Learning Readiness and Student's Think Style Wardani, Endang Purwati; Fantaye, Abayneh Kebede; Ade, Jimoh Azeez
Interval: Indonesian Journal of Mathematical Education Vol. 1 No. 1 (2023): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijome.v1i1.612

Abstract

The aims of this study were: (1) to find out the characteristics of misconceptions, and (2) to find out the causes of misconceptions in class XI students in the 2013/2014 academic year on the equation of a circle and the equation of a tangent line. circle seen from the readiness and learning styles of students. Qualitative research was applied in this research. The research subjects were eleventh grade students of SMA Negeri 3 Surakarta. Data sources were taken from informants (students), documentation (questionnaire), and tests. Data collection was carried out using interviews, diagnostic tests, and questionnaires. Data validity uses source triangulation. Data analysis uses the concept of Miles and Huberman, namely data collection, data reduction, data presentation, and drawing conclusions.
Optimizing Traffic Light Timing Using Graph Theory: A Case Study at Urban Intersections Darmaji, Darmaji; Lubis, Utama Khalid; Fitriani, Riska; Bulayi, Makungu; Ade, Jimoh Azeez; Allahverdiev, Kenan; Sangsuwan, Amornrat
Interval: Indonesian Journal of Mathematical Education Vol. 2 No. 2 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijome.v2i2.1361

Abstract

Purpose of the study: This study aims to optimize traffic light timing at the Usman Salengke-Poros Malino-K.H. Wahid Hasyim intersection using a graph theory approach. By modeling compatible traffic flows and calculating optimal signal durations, the study seeks to reduce congestion, minimize delays, and improve traffic efficiency. Methodology: This study utilized manual traffic volume data collection methods with direct field observations at the Usman Salengke-Poros Malino-K.H. Wahid Hasyim intersection. It employed Webster's method for optimal cycle calculation and MATLAB software for simulation. Tools included measuring tapes (Stanley), stopwatches (Casio), and data sheets for recording traffic flow. Surveys captured vehicle types and peak hour volumes. Main Findings: The optimal traffic light cycle duration was calculated as 95 seconds, reducing the original cycle time of 128 seconds. Peak traffic volume was observed at 1,383 pcu/hour (Usman Salengke North). The green light duration increased for Usman Salengke North to 39 seconds and for Poros Malino to 28 seconds. Total average vehicle waiting time decreased by 33.3%, with improved throughput by 20%. Novelty/Originality of this study: This study introduces a practical application of graph theory for optimizing traffic light timing, using compatible flow modeling to simplify intersection analysis. Unlike adaptive systems requiring expensive technology, this approach relies on manual traffic data, offering cost-effective solutions. It advances existing knowledge by providing a simplified, scalable method for reducing congestion and enhancing traffic efficiency in urban settings.