Klasifikasi Sifat Cidera Kecelakaan berdasarkan Karakteristik Masyarakat di Jakarta

Authors

  • Sarinah Sarinah Institut Transportasi dan Logistik Trisakti
  • Fida Fathiyah Addini Sekolah Tinggi Manajemen Asuransi Trisakti
  • Lira Agusinta Institut Transportasi dan Logistik Trisakti
  • Dwi Haryanto Sekolah Tinggi Manajemen Asuransi Trisakti
  • Rukaesih Achmad Maolani Sekolah Tinggi Manajemen Asuransi Trisakti
  • Edi Abdurachman Institut Transportasi dan Logistik Trisakti

DOI:

https://doi.org/10.54324/j.mtl.v11i3.1450

Keywords:

accidents, chi square test, community characteristics, ordinal logistic regression, risk classification

Abstract

Traffic accidents are one of the biggest causes of death in Indonesia. Traffic accidents could occur due to various factors such as human factors, facilities, infrastructure, and the environment. These factors are seen as causes of traffic accidents. Furthermore, the impacts experienced due to traffic accidents are not always the same. Someone could be injured or even die. This impact is seen as the nature of an accident injury. This research analyzes and models the relationship between the nature of traffic accident injury variables and the variables causing traffic accidents. The data used in this research is 12,353 traffic accident data in DKI Jakarta from 2020 to 2021. The analysis was carried out using two main methods, namely the chi-square test to determine the existence of a relationship between variables and an ordinal logistics regression model to model the influence of variables causing traffic accidents on variables of the accident injuries nature. Based on the chi-square test, there is a significant relationship between the level of traffic injury and the factors of age, gender, type of work, time and location of the incident. However, there is no significant relationship between the level of the traffic injury and the day of the incident. Variables that are significantly related are then created as an ordinal logistics regression model equation. The results show that the injury level could be predicted based on the causal factors with 92.45% accuracy in classifying the level of the injury.

References

Agresti, A. (2019). An Introduction to Categorical Data Analysis. In John Wiley & Sons, Inc. (Vol. 170, Issue 4). John Wiley & Sons, Inc. https://doi.org/10.1111/ j.1467-985x.2007.00506_2.x

Ambarwati, L., Sulistio, H., Negara, G. H., & Hariadi, Z. (2010). Karakteristik dan Peluang Kecelakaan Pada Mobil Pribadi di Wilayah Perkotaan. Rekayasa Sipil, 4(2), 124–135.

Asri, K. ., Saptono, H., & Njatrijani, R. (2017). Pelaksanaan Asuransi Sosial Pada PT. Jasa Raharja (PERSERO) terhadap Korban Kecelakaan Lalu Lintas di Kota Semarang. Diponegoro Law Journal, 6(2), 1–17.

BPS. (2020). Statistik Transport Darat. Subdirektorat Statistik Transportasi.

M. W., & Sulistyani, D. (2015). Perbandingan Premi Asuransi Kesehatan Peserta BPJS Badan Usaha dengan Asuransi Kesehatan Swasta. Jurnal Akuntansi Dan Pajak, 16(1), 33–47.

Franke, T. M., Ho, T., & Christie, C. A. (2012). The Chi-Square Test: Often Used and More Often Misinterpreted. American Jorunal of Evaluation, 33(3), 448–458.

Herawati, H. (2019). Karakteristik Dan Penyebab Kecelakaan Lalu Lintas Di Indonesia Tahun 2012 (Traffic Accident Characteristics and Caused in Indonesia 2012). Warta Penelitian Perhubungan, 26(3), 133.

Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied Logistic Regression (3rd ed.) (3rd ed.). John Wiley & Sons, Inc.

Indonesia, D. (2022). Jumlah Kecelakaan Lalu Lintas Meningkat Jadi 103.645 pada 2021. Data Indonesia. https://dataindonesia. id/sektor-riil/detail/jumlah-kecelakaan-lalu-lintas-meningkat-jadi-103645- pada-2021.

Negara, I. C., & Prabowo, A. (2018). Penggunaan Uji Chi-Square untuk Mengetahui Pengaruh Tingkat Pendidikan dan Umur Terhadap Pengetahuan Penasun Mengenai HIV-AIDS di Provinsi DKI Jakarta. Prosiding Seminar Nasional Matematika Dan Terapannya 2018.

Nurhaedah, N. (2015). Analisis Hukum terhadap Asuransi Kendaraan Bermotor Bagi Pemilik Kendaraan sebagai Tertanggung. Pleno Jure, 4(5), 28–41.

Putri, C. E. (2014). Analisis Karakteristik Kecelakaan dan Faktor Penyebab Kecelakaan dan Faktor Kecelakaan pada Lokasi Blackspot di Kota Kayu Agung. Jurnal Teknik Sipil Dan Lingkungan, 2(1), 154–161.

Rahmadeni, R., & Raudi, S. (2020). Analisis Tingkat Kerugian Material Akibat Kecelakaan Lalu Lintas dengan Menggunakan Dummy Variable di Provinsi Riau Tahun 2013-2017. Jurnal Sains Matematika Dan Statistika, 6(1), 58–64.

Ratnasari, F., Kumaat, L. T. ., & Mulyadi. (2014). Lalu Lintas Pada Komunitas Motor Sulut King Community (SKC) Manado. Jurnal Keperawatan, 2, 1–11

Downloads

Published

2024-11-30

Issue

Vol. 11 No. 3 (2024): NOVEMBER

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).