Arga Satria Panuntun, Baskoro Baskoro, Raynaldi Saputra Masuang, Taupiqqurrohman Taupiqqurrohman, Suprapto Hadi

IDENTIFIKASI POTENSI BAHAYA BERDASARKAN IMPLEMENTASI SELF EXPLAINING ROAD DAN FORGIVING ROAD DENGAN METODE HIRA

Introduction

Identifikasi potensi bahaya berdasarkan implementasi self explaining road dan forgiving road dengan metode hira. Identifikasi bahaya jalan Moga-Guci, Tegal, pakai HIRA, Self-Explaining Road, dan Forgiving Road. Analisis risiko kecelakaan dan rekomendasi intervensi rekayasa untuk keselamatan jalan.

Abstract

Jalan Moga - Guci merupakan akses penting menuju destinasi wisata di Kabupaten Tegal, namun karena kondisi geometrik jalan yang sulit dan minimnya sarana dan prasarana keselamatan, maka jalan tersebut menjadi rawan terjadinya kecelakaan. Tujuan dari penelitian ini untuk menemukan kemungkinan risiko berdasarkan penerapan konsep Self-Explaining Road (SER) dan Forgiving Road (FR), dengan metode Hazard Identification and Risk Assessment (HIRA). Pelaksanaan penelitian ini melalui observasi lapangan sepanjang 3,016 km dan menganalisis 12 titik defisiensi jalan. Hasil evaluasi menunjukkan bahwa 66% dari potensi bahaya berada dalam kategori risiko moderate, 17% high, dan 17% low. Mayoritas bahaya memiliki tingkat kemungkinan kejadian unlikely namun berdampak moderate hingga major jika terjadi kecelakaan. Temuan risiko tertinggi berada di titik STA 1+800 dan 2+400 akibat kombinasi kerusakan perkerasan dan visibilitas rendah. Studi ini membuktikan bahwa penerapan prinsip Self-Explaining Road (SER) dan Forgiving Road (FR) dalam desain jalan dapat membantu meminimalisir risiko kecelakaan. Diperlukan intervensi berbasis rekayasa lalu lintas untuk meningkatkan keselamatan di koridor pada jalur tersebut.

Review

The paper "IDENTIFIKASI POTENSI BAHAYA BERDASARKAN IMPLEMENTASI SELF EXPLAINING ROAD DAN FORGIVING ROAD DENGAN METODE HIRA" addresses a critical issue of road safety on the Moga-Guci road, a vital tourist access route in Tegal Regency, Indonesia. The study's focus on identifying potential hazards, particularly in challenging geometric conditions with limited safety infrastructure, is highly relevant and timely. By employing the well-established Hazard Identification and Risk Assessment (HIRA) method in conjunction with the principles of Self-Explaining Road (SER) and Forgiving Road (FR) design, the research sets out to systematically uncover and evaluate accident risks along a specific, high-risk corridor. This approach provides a structured framework for analyzing deficiencies and proposing safety enhancements. The research meticulously analyzed 12 road deficiency points over a 3.016 km stretch, yielding clear and actionable results. The findings indicate a significant proportion of identified hazards (66%) fall into the moderate risk category, with 17% categorized as high risk and 17% as low. A crucial insight is that while the likelihood of many incidents might be low, their potential impact, if an accident occurs, ranges from moderate to major. The study successfully pinpointed specific high-risk locations at STA 1+800 and 2+400, attributing these dangers to a combination of pavement damage and poor visibility. These detailed findings provide a strong empirical basis for targeted interventions, proving the utility of SER and FR principles in minimizing accident risks. Overall, this study presents a valuable contribution to the field of road safety engineering, particularly within the Indonesian context. Its strength lies in the practical application of recognized safety concepts (SER, FR, HIRA) to a real-world problem, providing clear evidence of their effectiveness in identifying and quantifying road hazards. While the abstract sufficiently outlines the methodology and key findings, a full paper would ideally elaborate on the specific types of "deficiencies" analyzed and the detailed criteria used for risk categorization within HIRA. The concluding recommendation for traffic engineering interventions is pertinent and sets a clear direction for subsequent action, reinforcing the practical relevance and potential impact of this well-structured and important research.

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