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ANALISIS BIAYA KECELAKAAN LALU LINTAS BERDASARKAN KORBAN KECELAKAAN MENGGUNAKAN METODE GROSS OUTPUT DI KABUPATEN JEMBER Ganda Surahman; Springfield, Dzackirendy
Jurnal Riset Teknik Sipil dan Sains Vol. 3 No. 2 (2025): Februari 2025 - Jurnal Riset Teknik Sipil dan Sains
Publisher : Politeknik Negeri Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/j-riteks.v3i2.2025.46-50

Abstract

Traffic accidents in Indonesia continue to increase and remain a major issue in road transportation. Traffic accidents are unexpected incidents on the road involving vehicles, either with or without other road users, resulting in human casualties and/or material losses. The material losses caused by these accidents are referred to as traffic accident costs. This study aims to analyze changes in the number of accidents and calculate the total cost of traffic accidents in Jember Regency. The calculation of accident costs is conducted using the gross output (human capital) method. Data on fatalities (MD), serious injuries (LB), minor injuries (LR), and material losses (KM) from 2018 to 2023 were obtained from the Jember Police Traffic Unit (Satlantas Polres Jember). The analysis results show that the highest increase in the number of accidents occurred in 2022, with a rise of 71.49% compared to 2021. Meanwhile, the largest decline in accidents happened in 2020, with a decrease of 16.78% from 2019. Based on the Gross Output method, the highest cost of traffic accident victims was recorded in 2019, with the Biaya Besar Korban Orang (BBKO) reaching Rp 303,423,395,039.79.
KAJIAN KARAKTERISTIK KECELAKAAN LALU LINTAS DI KABUPATEN JEMBER Ganda Surahman; Imam Fahmi Dian Sukma; Irma Wirantina Kustanrika
Jurnal Riset Teknik Sipil dan Sains Vol. 4 No. 1 (2025): Agustus 2025 - Jurnal Riset Teknik Sipil dan Sains
Publisher : Politeknik Negeri Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/jriteks.v4i1.2025.43-48

Abstract

Kecelakaan lalu lintas merupakan salah satu masalah serius dalam sistem transportasi, termasuk di Kabupaten Jember yang memiliki tingkat mobilitas tinggi. Penelitian ini bertujuan mengkaji karakteristik kecelakaan lalu lintas di Kabupaten Jember selama periode 2018–2023 secara sistematis untuk mendukung perumusan kebijakan keselamatan jalan. Metode penelitian menggunakan pendekatan deskriptif kuantitatif dengan analisis data sekunder dari Kepolisian Resor Jember. Hasil penelitian menunjukkan terjadi 7.116 kecelakaan dengan total korban sebanyak 10.093 orang, terdiri dari 1.968 korban meninggal dunia, 54 korban luka berat, dan 8.071 korban luka ringan. Jenis kecelakaan paling dominan adalah tabrakan depan-depan. Waktu kejadian kecelakaan tertinggi terjadi pada pukul 06.00–09.00 pagi, yaitu jam sibuk aktivitas masyarakat. Perilaku ceroboh terhadap lalu lintas depan menjadi faktor penyebab utama kecelakaan. Korban kecelakaan paling banyak berasal dari kelompok usia produktif, yaitu 15–19 tahun. Selain itu, sebagian besar kecelakaan terjadi saat cuaca cerah serta di jalan dengan kondisi permukaan baik.
Optimasi Parameter Pasca Cetak SLA 3D Printing Terhadap Karakteristik Kekerasan Material Menggunakan Metode Grey Relational Analysis (GRA) Abdul Hamid; Rochmad Eko Prasetyaning Utomo; Ganda Surahman
RING ME Vol 5 No 2 (2025): RING Mechanical Engineering
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/rme.v5i2.24595

Abstract

The demand for durable custom vehicle components requires enhancing the mechanical characteristics of Stereolithography (SLA) materials, which are generally brittle—a gap that must be addressed through post-processing optimization. This study aims to identify the optimal post-processing parameter combinations to maximize the hardness of SLA resin using the Grey Relational Analysis (GRA) method. The experimental design followed a Taguchi L9 orthogonal array, testing four factors Washing Time, Curing Time, Annealing Time, and Annealing Temperature at three levels each, with Shore D hardness as the quality response. The results demonstrated a significant increase in hardness from a baseline of 79.2 Shore D to 82.5 Shore D under optimal conditions. The GRA identified the combination of 15 min Washing Time, 25 min Curing Time, 30 min Annealing Time, and 80°C Annealing Temperature as the optimum setting, resulting in a 16.4% improvement in the Grey Relational Grade (GRG) compared to the experimental mean. ANOVA results confirmed that Washing Time (50.79% contribution, P=0.028) and Annealing Time (41.49% contribution, P=0.034) were the most significant factors (P < 0.05) influencing hardness variation. Conversely, Curing Time was found to be insignificant (P=0.189), suggesting that 15 minutes is sufficient, while residual monomer removal and thermal stress relief during annealing are more critical. Overall, this study concludes that enhancing SLA material hardness depends heavily on thorough cleaning and controlled heat treatment.