Analisis Dampak Operasional Kendaraan Barang pada Jam Puncak terhadap Kemacetan Jalan Alang-Alang Lebar Kota Palembang
DOI:
https://doi.org/10.38035/jim.v5i1.1904Keywords:
kendaraan barang, jam puncak, derajat kejenuhan, LoSAbstract
Permasalahan penelitian ini adalah kemacetan pada segmen midblock Jalan Bypass Alang-Alang Lebar Palembang pada jam puncak, yang diduga dipicu kontribusi kendaraan barang dalam arus campuran. Penelitian bertujuan mengukur pengaruh operasional kendaraan barang terhadap kinerja ruas serta menilai efektivitas skenario pengendalian operasional. Metode yang digunakan bersifat deskriptif-kuantitatif berbasis PKJI 2023, meliputi survei volume terklasifikasi interval 15 menit, pengukuran kecepatan operasi dengan metode floating car pada segmen 200 m, dan pencatatan hambatan samping untuk penentuan kapasitas efektif, PHF, derajat kejenuhan (DS), dan Level of Service (LoS). Hasil menunjukkan kapasitas efektif 3.196 smp/jam dengan volume jam puncak 2.993,5–3.028,8 smp/jam sehingga DS 0,937–0,948 (LoS E). Skenario pengalihan truk besar menurunkan DS menjadi 0,866–0,876 (LoS D), sedangkan pengurangan 50% TB+KS menurunkan DS menjadi 0,820–0,829 (LoS D). Temuan menegaskan bahwa meski jumlahnya tidak dominan, truk besar ber-EMP tinggi mempercepat kondisi jenuh; pengaturan time-window serta penertiban bongkar-muat dan parkir tepi jalan direkomendasikan untuk menjaga stabilitas arus ruas.
References
American Association of State Highway and Transportation Officials. (2018). A policy on geometric design of highways and streets (7th ed.). AASHTO.
Faisal, F. and Hidayat, A. (2020). Analisa kerusakan jalan menggunakan metode bina marga (studi kasus jalan akses terminal alang-alang lebar kota palembang sta 00+000 s/d sta 01+000). Teknika Jurnal Teknik, 7(1), 19. https://doi.org/10.35449/teknika.v7i1.129
Faritzie, H. (2020). Analisis tingkat pelayanan pada ruas jalan mayor santoso kota palembang. Teknika Jurnal Teknik, 7(2), 195. https://doi.org/10.35449/teknika.v7i2.139
Hendrialdi, H. (2019). Kinerja pelayanan jalan pada distribusi angkutan barang di kota padang. Jurnal Sains Dan Teknologi Maritim, 20(1). https://doi.org/10.33556/jstm.v20i1.217
Holguín-Veras, J., Wang, Q., & Sánchez-Díaz, I. (2015). Off-hour delivery programs and urban freight demand management: Assessing impacts and lessons learned. Transportation Research Record, 2411(1), 1–12.
Hu, J., Yang, S., Yang, Y., Xu, X., & Zhang, X. (2024). Identifying truck activity from global positioning system data based on satellite imagery. Transportation Research Record Journal of the Transportation Research Board, 2679(3), 680-696. https://doi.org/10.1177/03611981241283012
Idowu, O., Nnamani, O., & Aderinlewo, O. (2025). Geographic information systems and matlab simulation to quantify and analyze traffic congestion in oja oba road, arakale road, and futa north gate road of akure, ondo state, nigeria. jasem, 29(1), 29-34. https://doi.org/10.4314/jasem.v29i1.4
Kementerian Pekerjaan Umum dan Perumahan Rakyat. (2023). Pedoman Kapasitas Jalan Indonesia (PKJI 2023): Direktorat Jenderal Bina Marga.
Lifu, A., Seran, E., Mooy, M., & Usboko, G. (2023). Pengaruh parkir di badan jalan terhadap kinerja ruas jalan timor raya km 8+800 sampai dengan km 9+000. Eternitas Jurnal Teknik Sipil, 3(1), 44-60. https://doi.org/10.30822/eternitas.v3i1.3181
Ma, F., Xu, J., Gao, C., & Bi, Y. (2022). Study on the distribution of the suburban expressway hourly traffic volume and modification of the design hourly volume under the background of the tourism economy—analysis on design factors of normalized congestion in suburban expressway. Sustainability, 14(17), 10775. https://doi.org/10.3390/su141710775
Pangestu, A. and Tjahjani, A. (2022). Evaluasi kinerja ruas jalan kota bekasi terhadap pengaruh hambatan samping. ARTESIS, 2(1), 98-103. https://doi.org/10.35814/artesis.v2i1.3767
Pribadi, O. and Permatasari, Y. (2021). Pemilihan lokasi terminal barang di kabupaten semarang dengan menggunakan metode p-median dalam software lindo 6.1. Jurnal Penelitian Transportasi Darat, 23(2), 158-169. https://doi.org/10.25104/jptd.v23i2.1813
Mahmudah, N. and Andriani, E. (2019). Penentuan biaya kemacetan lalu lintas pada simpang bersinyal sgm yogyakarta. Jurnal Transportasi, 19(2), 77-86. https://doi.org/10.26593/jt.v19i2.3472.77-86
Nst, E., Fitri, Y., Widara, L., & Fajri, F. (2023). Prediction of co2 emission based on road density approach. Journal of Aceh Physics Society, 12(1), 6-20. https://doi.org/10.24815/jacps.v12i1.27961
OECD/International Transport Forum. (2016). Managing urban traffic congestion. OECD Publishing.
Putri, H., Arenawati, A., & Nugroho, K. (2024). Analisis kebijakan transportasi dalam mengatasi kemacetan di kota palembang. Jurnal Kebijakan Pembangunan, 19(2), 261-272. https://doi.org/10.47441/jkp.v19i2.393
Roşca, E., Ruscă, F., Roșca, M., & Ruscă, A. (2024). Performance analysis of automated parcel lockers in urban delivery: combined agent-based–monte carlo simulation approach. Logistics, 8(2), 61. https://doi.org/10.3390/logistics8020061
Sari, A. (2018). Analisis kebijakan penanganankemacetan lalulintas di jalan by pass ketaping-kuranji, padangdengan metode analisis hirarki proses (ahp). Rang Teknik Journal, 1(1). https://doi.org/10.31869/rtj.v1i1.599
Seran, A., Sugiyanto, S., & Pranoto, P. (2020). Analisis kinerja ruas jalan raya singosari kabupaten malang. Bangunan, 25(2), 25. https://doi.org/10.17977/um071v25i22020p25-38
Sukandar, E. (2015). Eksternalitas kegiatan industri terhadap kinerja jalan (studi kasus jalan sadang-batas purwakarta/subang). Jurnal Pembangunan Wilayah Dan Kota, 11(2), 169. https://doi.org/10.14710/pwk.v11i2.10846
Sukawati, N., Giri, I., & Mayora, I. (2023). Analisis volume lalu lintas pada jalan raya guwang. Jurnal Ilmiah Kurva Teknik, 12(1), 77-83. https://doi.org/10.36733/jikt.v12i1.6410
Transportation Research Board. (2016). Highway Capacity Manual (6th ed.). National Academies Press.
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