Pelatihan dan pendampingan analisis Lalu Lintas Harian Rata-Rata (LHR) bagi tenaga teknik CV. Keinarra untuk mendukung perencanaan rekayasa transportasi berbasis data
Abstract
Abstrak
Perencanaan transportasi yang efektif membutuhkan data lalu lintas yang akurat dan representatif. Salah satu indikator penting dalam analisis lalu lintas adalah Lalu Lintas Harian Rata-Rata (LHR) atau Average Daily Traffic (ADT), yang menunjukkan jumlah rata-rata kendaraan yang melintas pada suatu ruas jalan dalam periode satu hari. Namun, keterbatasan kompetensi tenaga teknis dalam melakukan survei dan analisis data lalu lintas sering menjadi kendala dalam penerapan perencanaan transportasi berbasis data. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan tenaga teknik CV. Keinara dalam melakukan survei, pengolahan, dan analisis data LHR untuk mendukung perencanaan rekayasa transportasi. Metode kegiatan meliputi identifikasi kebutuhan pelatihan, penyampaian materi teori, praktik survei lalu lintas, pendampingan pengolahan data, serta evaluasi melalui pretest dan posttest. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta terhadap konsep survei lalu lintas dan teknik perhitungan LHR. Nilai rata-rata pretest peserta sebesar 56,3 meningkat menjadi 82,4 pada posttest setelah pelatihan. Hal ini menunjukkan bahwa kegiatan pelatihan dan pendampingan mampu meningkatkan kompetensi tenaga teknik dalam pengolahan data lalu lintas. Dengan demikian, kegiatan ini diharapkan dapat mendukung implementasi perencanaan transportasi yang lebih akurat dan berbasis data di lingkungan perusahaan.
Kata kunci: LHR; rekayasa transportasi; survei lalu lintas; pelatihan teknis; transportasi berbasis data.
Abstract
Effective transportation planning requires accurate and representative traffic data. One important indicator in traffic analysis is Average Daily Traffic (ADT), which shows the average number of vehicles passing through a road section in a day. However, the limited competence of technical personnel in conducting traffic surveys and data analysis is often a challenge in implementing data-based transportation planning. This community service activity aims to improve the technical staff of CV. Keinara's ability to conduct surveys, process, and analyze ADT data to support transportation engineering planning. The methods used in this activity include identifying training needs, delivering theoretical material, conducting traffic survey practices, providing assistance in data processing, and evaluating through pre- and post-tests. The results of the activity showed an increase in participants' understanding of traffic survey concepts and LHR calculation techniques. The average pretest score of participants was 56.3, increasing to 82.4 on the posttest after training. This shows that training and mentoring activities can improve the competence of technical personnel in traffic data processing. Thus, this activity is expected to support the implementation of more accurate and data-based transportation planning within the company.
Keywords: LHR; transportation engineering; traffic survey; technical training; data-based transportation.
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DOI: https://doi.org/10.31764/jpmb.v10i3.39446
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