ANALISA ASOSIATIF DATA MINING UNTUK MENGETAHUI POLA KECELAKAAN LALU LINTAS

Agus Sasmito Aribowo

Abstract


The data of traffic accident can be processed into information that is important for Police Department. Those important information researched is to analyze the traffic accident data to find out is there any link between the occurrence of an accident to a certain brand of vehicle.

This research implementing data mining method to process the data traffic accident by using data mining techniques called Apriori Method. Apriori Method is used to identify a pattern of accidents based on brand, type of vehicles, and the vehicle’s color. The results are used to estimate whether there is any correlation between the occurrences of a traffic accident to a particular brand.

The result can help the Police Department to find out whether there is any correlation between the occurrence of traffic accidents to the brand, type and the color of vehicle.

Keywords


rule based classification, apriori, brand loyalty, traffic accident

References


Dezhi, X., dan Ganegoda, G.U, 2011, Rule Based Classification to Detect Malnutrition in Children, International Journal on Computer Science and Engineering (IJCSE) Vol. 3 No. 1 Jan 2011 ISSN : 0975-3397

Firmansyah, A., 2009, Analisa Kecelakaan Lalu Lintas Kabupaten Jember ( Ruas Jalan Slamet Riyadi - Pb.Sudirman - Sultan Agung – Gajah Mada - Hayam Wuruk ), Tugas Akhir Jurusan Teknik Sipil Fakultas Teknik Sipil Dan Perencanaan Institut Teknologi Sepuluh Nopember Surabaya

Han, J., and Kamber, M., 2006, Data Mining Concept and Technique, Morgan Kaufman Publisher, San Francisco

Marthin, J. dan Samuel, H., 2007, Analisis Tingkat Brand Loyalty Pada Produk Shampoo merek “Head & Shoulders”, Jurnal Manajemen Pemasaran, Vol. 2, No. 2, Oktober 2007: 90-102, Universitas Kristen Petra, Surabaya

Muchsin, N., Kiptiyah, S.M., Martawidjaja, S., 2003, Analisis Sikap Konsumen Dalam Keputusan Pembelian Sepeda Motor Merek Sanex Dan Kanzen Di Kota Malang, Jurnal Fakultas Ekonomi Universitas Brawijaya Malang

Murugan, S, 2010, Rule Based Classification Of Ischemic Ecg Beats Using Antminer, International Journal of Engineering Science and Technology Vol. 2(8), 2010, 3929-3935

Peter, J. P and Olson J. C. 2001. Consumer Behavior and Market Strategy, McGraw-Hill College, New York

Santoso, L.W., 2009, Pembuatan Perangkat Lunak Data Mining Untuk Penggalian Kaidah Asosiasi Menggunakan Metode Apriori, Jurnal Informatika Fakultas Teknologi Industri, Jurusan Teknik Informatika, Universitas Kristen Petra

Tada, T., Nagashima, T., Okada, Y., 2010, Rule-based Classification for Audio Data Based on Closed Itemset Mining, Proceedings of the International MultiConference of Engineers and Computer Scientist 2010 Vol I, Hongkong

Qin, B., dan Xia, Y., 2009, A Rule-Based Classification Algorithm for Uncertain Data, IEEE International Conference on Data Engineering




DOI: https://doi.org/10.31315/telematika.v8i2.458

DOI (PDF (Indonesia) (Bahasa Indonesia)): https://doi.org/10.31315/telematika.v8i2.458.g419

Refbacks

  • There are currently no refbacks.




Copyright of :
TELEMATIKA: Jurnal Informatika dan Teknologi Informasi
ISSN 1829-667X (print); ISSN 2460-9021 (online)


Dipublikasi oleh
Jurusan Teknik Informatika, UPN Veteran Yogyakarta
Jl. Babarsari 2 Yogyakarta 55281 (Kampus Unit II)
Telp: +62 274 485786
email: [email protected]

 

Jurnal Telematika sudah diindeks oleh beberapa lembaga berikut:
 

 

 

 

 

Status Kunjungan Jurnal Telematika