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The Utilization of QGIS in Determining the Route and Location of the Optimal Feeder Wirawiri FD09 Bus Stop in the Unesa Ketintang Campus Area: Pemanfaatan QGIS dalam Penentuan Rute dan Lokasi Halte Optimal Feeder Wirawiri FD09 di Kawasan Kampus Unesa Ketintang Irfan Zhain; Prathita Muti'a Yuzaeva
PUBLIKASI RISET ORIENTASI TEKNIK SIPIL (PROTEKSI) Vol 8 No 1 (2026): Vol 8 No 1 Tahun 2026
Publisher : Universitas Negeri Surabaya

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Abstract

Student commuting to the Unesa Ketintang Campus often causes traffic congestion due to the dominance of private vehicles and underutilized public transportation. This study aims to determine the optimal route for the Wirawiri FD09 feeder bus and strategic stop locations through Origin-Destination Matrix and GIS-based Multi Criteria Analysis. A quantitative descriptive-analytical approach with spatial analysis using QGIS was employed to analyze travel patterns, demand potential, and service accessibility. The results indicate that 67% of respondents (254 students) are willing to shift to the feeder service if the route enters the campus and stops are located near faculties. Based on spatial analysis with a 300–400meter walking radius, this study recommends adjusting alternative routes into the campus and establishing four new stops: the Informatics Engineering, Tennis Court, Faculty of Economics and Business, and Front Gate stops. The application of QGIS effectively provides measurable, data-driven spatial recommendations. These route and stop adjustments are expected to enhance academic mobility efficiency and support sustainable urban transportation systems.
Evaluasi Kondisi Perkerasan Jalan Bundaran Waru Menggunakan Metode PCI, SDI, dan Roadroid Berbasis Smartphone Irfan Zhain; Prathita Muti'a Yuzaeva; Rizki Firman Alamsyah
Jurnal Karajata Engineering Vol. 6 No. 2 (2026): 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/karajata.v6i2.4456

Abstract

Evaluating road damage using Pavement Condition Index, Surface Distress Index, and International Roughness Index methods is generally difficult to implement in roundabout areas due to high traffic volumes and surveyor safety risks. Limited access to such congested road sections often hinders the accuracy and efficiency of conventional pavement condition data collection. Therefore, this study utilizes a digital road distress assessment application as an alternative solution that is safer, more efficient, and accurate without disrupting the existing traffic flow. A quantitative research method was employed to compare the standard evaluation results of PCI and SDI methods against the digital application-based method, which generates IRI values. Data collection focused on high-volume roundabout sections through field surveys and data analysis. The results indicate that loose aggregate and patching were identified as the most dominant distress types in the roundabout area. A locally significant condition was detected, particularly in the STA 0+300 to 0+400 segment, which exhibited poor values. In this specific segment, the structural evaluation yielded an SDI value of 115, while the PCI score dropped to 47, indicating a fair condition. This decline in functional performance aligns with the Roadroid application records, which showed a sharp increase in the IRI value, reaching 9.02. Based on the analysis of these various assessment methods, specific road maintenance recommendations per segment, such as routine or periodic maintenance, are provided.