Rohmi, Azzima Lutfia (2017) Analisis Regresi Logistik Multinomial Pada Jenis Pelanggaran Lalu Lintas Di Kota Surabaya. Diploma thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
1314030011-Non_Degree.pdf - Published Version Download (1MB) | Preview |
Abstract
ABSTRAK
Kota Surabaya merupakan ibukota dari Provinsi Jawa Timur sekaligus sebagai kota metropolitan kedua setelah Jakarta tercatat terdapat peningkatan jumlah kendaraan yang tentunya mempengaruhi kehidupan lalu lintas sehingga timbul permasalahan seperti sering terjadi pelanggaran lalu lintas. Pada penelitian ini jenis pelanggaran lalu lintas dibedakan menjadi tiga kategori yaitu pelanggaran ringan, sedang dan berat. Untuk menganalisis variabel respon yang mempunyai skala data nominal lebih dari dua kategori maka metode yang digunakan adalah regresi logistik multinomial. Diperoleh hasil bahwa terdapat 48.0% pelanggaran ringan, 32.7% pelanggaran sedang dan 19.3% pelanggaran berat. Pelanggaran mayoritas dilakukan oleh laki-laki, berusia lebih dari 41 tahun, kendaraan yang digunakan adalah roda dua, di hari kerja dan banyak terjadi di Surabaya Timur. Diperoleh hasil pula bahwa variabel jenis kelamin pengendara, jenis kendaraan, hari pelanggaran, status kepemilikan kendaraan dan lokasi pelanggaran berpengaruh signifikan secara serentak terhadap jenis pelanggaran lalu lintas. Model yang dihasilkan memiliki ketepatan klasifikasi sebesar 54.4% namun tidak sesuai untuk memodelkan jenis pelanggaran lalu lintas dikarenakan variabel prediktor yang relative sedikit.
Kata Kunci: Independensi, Kendaraan, Pelanggaran Lalu Lintas, Regresi Logistik Multinomial
==================================================================================================================
Surabaya is the capital of East Java as well as the second metropolitan city after Jakarta, recorded that there’s an increase in the number of transportation that certainly affect to the life of traffic so the problem such as traffic violations can oftenly appear. This research dividing the type of traffic violations into three categories: minor, medium and serious violations. To analyze the nominal scale dependent variable more than two categories using multinomial logistic regression. The result obtained that there were 48.0% of minor violations, 32.7% medium violations and 19.3% serious violations. Many violations committed by men, aged over 41 years, used two-wheels vehicle, on weekdays and dominated in East Surabaya. Based on analysis it is known that the gender of rider, the type of vehicle, the day that violation done, vehicle ownership status, and the location of violation have significant effect to the type of traffic violation. The resulting model has a classification accuracy amount 54.4% but the model can’t appropriate the types of traffic violations caused need more independent variables.
Keywords: Independention, Multinomial Logistic Regression, Traffic Violation,Vehicle
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Independention, Multinomial Logistic Regression, Pelanggaran Lalu Lintas, Vehicle |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HE Transportation and Communications |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49401-(D3) Diploma 3 |
| Depositing User: | - Azzima Lutfia Rohmi |
| Date Deposited: | 15 Jun 2017 04:53 |
| Last Modified: | 05 Mar 2019 01:57 |
| URI: | http://repository.its.ac.id/id/eprint/41670 |
Actions (login required)
 |
View Item |