Pemetaan Lokasi Rawan Kecelakaan Lalu Lintas Menggunakan Sistem Informasi Geografis

Laode Muhamad Irsan; Nur Hasanah; Rahma Musyawarah; Ema Hermawati Garusu

doi:10.69606/geography.v2i2.113

Authors

Laode Muhamad Irsan Jurusan Agroteknologi, Fakultas Pertanian, Universitas Negeri Gorontalo
Nur Hasanah Jurusan Pendidikan Geografi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Halu Oleo
Rahma Musyawarah Jurusan Geografi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Makassar
Ema Hermawati Garusu Jurusan Pendidikan Geografi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Halu Oleo

DOI:

https://doi.org/10.69606/geography.v2i2.113

Keywords:

mapping, traffic accidents, Geographic Information Systems

Abstract

Traffic accidents often result in death and serious injury. This high number of deaths and injuries requires immediate action to reduce the negative impact. This study aims to identify and map the location of traffic black sites in the districts of Konda and Wolasi. This research was conducted on the main road in the South Konawe regency which had an accident on the Konda-Wolasi route. The research method used to determine accident-prone locations is the Z-Score method, while to find accident-prone maps, spatial analysis is used using geographic information systems through field surveys and plotting coordinates by GPS. In the Konda sub-district, 4 villages are accident-prone points, namely Ambololi, Lambusa, Puuosu Jaya, and Tanea villages, while in the Wolasi sub-district, there are Wolasi, Mata Wolasi, Amoito, and Leleka sub-district. Each accident-prone point caused damaged roads, narrow roads, bends, and intersections.

References

Al-Aamri, A. K., Hornby, G., Zhang, L.-C., Al-Maniri, A. A., & Padmadas, S. S. (2021). Mapping Road Traffic Crash Hotspots Using GIS-based Methods: A Case Study of Muscat Governorate in the Sultanate of Oman. Spatial Statistics, 42, 100458. https://doi.org/10.1016/j.spasta.2020.100458

Badan Pusat Statistik [BPS] (2019). Provinsi Sulawesi Tenggara Dalam Angka 2019. Retrivied June 16, 2024, from ttps://sultra.bps.go.id/

Fitri. (2021). Pembuatan Sistem Informasi Pemetaan Daerah Rawan Kecelakaan di Kabupaten Kampar. Jurnal Sains dan Ilmu Terapan, 4(2), 1–6. https://doi.org/10.59061/jsit.v4i2.47

Gregoriades, A., & Christodoulides, A. (2017). Traffic Accidents Analysis Using Self-Organizing Maps and Association Rules for Improved Tourist Safety. Proceedings of the 19th International Conference on Enterprise Information Systems, 452–459. https://doi.org/10.5220/0006356204520459

Hasan, I. (2001). Kajian Lalu Lintas dan Analisis Jalan. Yogyakarta: Universitas Gajah Mada.

He, S., Sadeghi, M. A., Chawla, S., Alizadeh, M., Balakrishnan, H., & Madden, S. (2021). Inferring High-Resolution traffic Accident Risk Maps Based on satellite Imagery and GPS Trajectories. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 11957–11965. https://doi.org/10.1109/ICCV48922.2021.01176

Irsan, L. M., Musyawarah, R., & Ati, A. (2020). Estimasi Produksi Jagung (Zea Mays L.) Menggunakan Pendekatan Ekologi Spasial di Kabupaten Jeneponto. Jambura Geoscience Review, 2(2), 69–77. https://doi.org/10.34312/jgeosrev.v2i2.4773

Kmet, R., Dvorak, Z., & Kvet, M. (2019). Map of Traffic Accidents. Transportation Research Procedia, 40, 1418–1425. https://doi.org/10.1016/j.trpro.2019.07.196

Latifah, L. L., Hudjimartsu, S. A., & Yanuarsyah, I. (2022). Analisis Daerah Rawan Kecelakaan Lalu Lintas Menggunakan Cluster Analysis di Kota Bogor Berbasis Webgis. Jurnal Ilmiah Teknologi Infomasi Terapan, 8(2). https://doi.org/10.33197/jitter.vol8.iss2.2022.760

Manik, M. A., Rindengan, Y. D. Y., & Lumenta, A. S. M. (2018). Sistem Informasi Pemetaan Lokasi Rawan Kecelakaan Lalu Lintas di Kota Manado Berbasis Android. Jurnal Teknik Informatika, 13(3), 1-7. https://doi.org/10.35793/jti.13.3.2018.28076

Samsudin, I. (2020). Analisa Faktor Penyebab Kecelakaan Pada Ruas Jalan Ir. H. Alala Kota Kendari Ditinjau Dari Prasarana dan Geometrik Jalan. Jurnal Penelitian Transportasi Darat, 21(1), 59–66. https://doi.org/10.25104/jptd.v21i1.1166

Satria, R. (2020). Spatial Analysis of Traffic Accidents using GIS: The Case of Banda Aceh, Indonesia (PhD Thesis, [Madrid Spain]: Universidad Politécnica de Madrid). https://doi.org/10.20868/UPM.thesis.62778

Stephane, I., Saputra, H., & Jelita, S. (2018). Sistem Informasi Geografis Titik Rawan Kecelakaan Daerah Sumatera Barat Berbasis Web. ILKOM Jurnal Ilmiah, 10(2), 225-231. https://doi.org/10.33096/ilkom.v10i2.312.225-231

Topçooğlu, B., Memişoğlu Baykal, T., & Tuydes Yaman, H. (2022). Speed-Related Traffic Accident Analysis Using Gis-Based Dbscan and Nnh Clustering. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022, 487–494. https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-487-2022

Undang – Undang Republik Indonesia Nomor 22 Tahun 2009. Tentang Lalu Lintas Jalan Raya.

Vernanda, A. A., Faisol, A., & Vendyansyah, N. (2021). Penerapan Metode K-Means Clustering untuk Pemetaan Daerah Rawan Kecelakaan Lalu Lintas di Kota Malang Berbasis Website. Jati (Jurnal Mahasiswa Teknik Informatika), 5(2), 836–844. https://doi.org/10.36040/Jati.V5i2.3791

Vitianingsih, A. V., & Cahyono, D. (2016). Geographical Information System for Mapping Accident-Prone Roads and Development of New Road Using Multi-Attribute Utility Method. In 2016 2nd International Conference on Science and Technology-Computer (ICST), 66–70. https://doi.org/10.1109/ICSTC.2016.7877349

Watrianthos, R., Kurniawan, M. B., Budiman, S., & Ulya, B. (2020). Mapping of Traffic Accidents in Labuhanbatu Regency Using GIS Support. Journal Of Physics: Conference Series, 1566(1), 012104. https://doi.org/10.1088/1742-6596/1566/1/012104

Wibowo, A. (2021). Sistem Informasi Geografis Pemetaan Lokasi Rawan Kecelakaan Lalu Lintas Kabupaten Kuantan Singingi. Jurnal Perencanaan, Sains dan Teknologi (JUPERSATEK), 4(1), 9-18.

Wijaya, P. I., Sari, R. P., & Febriyanto, F. (2022). Sistem Informasi Geografis Pemetaan Daerah Rawan Kecelakaan Berbasis Web di Kota Pontianak. Coding Jurnal Komputer dan Aplikasi, 10(01), 71-81. https://dx.doi.org/10.26418/coding.v10i01.52717

World Health Organization [WHO]. (2011). Decade of Action for Road Safety. Switzerland: Geneva.