Juanda Ramadani, Hakzah Hakzah, Andriyani Andriyani

Analisis Faktor Penyebab Pelanggaran Overdimesion Overloading (ODOL) Pada Moda Angkutan Barang (Studi Kasus: UPPKB Datae dan Maccopa)

Introduction

Analisis faktor penyebab pelanggaran overdimesion overloading (odol) pada moda angkutan barang (studi kasus: uppkb datae dan maccopa). Analisis penyebab pelanggaran ODOL (Overdimension Overloading) pada angkutan barang di Indonesia. Mengkaji dampak kerusakan jalan & kecelakaan, serta solusi kepatuhan lewat kesadaran hukum, pengemudi, & teknologi.

Abstract

Pelanggaran Overdimension dan Overloading masih menjadi masalah kritis di sektor angkutan barang Indonesia, yang berkontribusi terhadap percepatan kerusakan jalan, peningkatan risiko kecelakaan, dan kerugian ekonomi yang besar. Penelitian ini bertujuan untuk menganalisis jembatan timbang dalam menekan pelanggaran Overdimension Overloading (ODOL) dan memeriksa bagaimana perilaku pengemudi, petugas penegak hukum, pelaku usaha, dan teknologi pendukung yang mempengaruhi kesadaran dan kepatuhan hukum. Pendekatan kuantitatif menggunakan metode Structural Equation Modeling - Partial Least Squares (SEM-PLS) diadopsi, dengan data yang dikumpulkan dari 300 responden di UPPKB Datae dan Maccopa. Hasilnya mengungkapkan bahwa kesadaran hukum secara signifikan memediasi hubungan antara faktor eksternal dan pelanggaran Overdimension Overloading (ODOL). Perilaku pengemudi dan dukungan teknologi mempengaruhi kesadaran hukum secara positif, sedangkan petugas penegak hukum dan pemilik bisnis tidak menunjukkan pengaruh yang signifikan. Studi ini menggarisbawahi pentingnya pendidikan pengemudi dan teknologi pengawasan terpadu sebagai upaya strategi untuk meningkatkan kepatuhan dan keselamatan transportasi.

Review

The submitted manuscript, "Analisis Faktor Penyebab Pelanggaran Overdimesion Overloading (ODOL) Pada Moda Angkutan Barang," addresses a highly pertinent and critical issue within Indonesia's freight transportation sector: Overdimension and Overloading (ODOL) violations. The paper effectively frames ODOL as a significant contributor to infrastructure degradation, increased accident risk, and substantial economic losses. Utilizing a quantitative approach with Structural Equation Modeling - Partial Least Squares (SEM-PLS) on data from 300 respondents across UPPKB Datae and Maccopa, the study sets out to analyze the role of weighbridges in mitigating ODOL and to explore the influence of various stakeholders—drivers, law enforcement, business owners, and technology—on legal awareness and compliance. The research yields several noteworthy findings that contribute to understanding the complexities of ODOL violations. Crucially, the study identifies legal awareness as a significant mediating factor between external elements and the occurrence of ODOL violations. This highlights the importance of internalizing regulations rather than solely relying on external pressures. Furthermore, the positive influence of driver behavior and supporting technology on legal awareness is a key insight, suggesting that initiatives targeting driver responsibility and technological advancements can be effective levers for change. Conversely, the finding that law enforcement officers and business owners do not significantly influence legal awareness is particularly intriguing and warrants further discussion, as it challenges conventional assumptions about the direct impact of regulatory oversight and economic incentives. Overall, this study provides valuable empirical evidence and a nuanced perspective on curbing ODOL violations, particularly through its emphasis on legal awareness and specific influencing factors. The application of SEM-PLS is appropriate for disentangling these complex relationships. A notable strength lies in pinpointing driver education and integrated monitoring technology as strategic priorities, offering practical recommendations for improving compliance and transportation safety. While the abstract presents robust findings, future research could delve deeper into *why* the influence of law enforcement and business owners was found to be insignificant, perhaps exploring indirect pathways or contextual factors not captured. Additionally, comparative studies with different regions or qualitative investigations into the perception of these "insignificant" factors could provide further depth to this important issue.

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