Reflection on Data Error Identification Methods for Field Survey Data on Commuter Train Passenger Travel Behavior

Hitapriya Suprayitno, Ria Asih Aryani Soemitro

Abstract


Good understanding of Demand Behavior is important for Infrastructure and Facility Planning. Therefore, Field Survey for Travel Behavior Characterisitcs on Commuter Train Passenger is very important. The data collected and processed must be correct data. Meanwhile errors could easily happen in data collection and tabulation. How is the method to identify the data error. Experiment indicates several following methods : using spread-sheet software is strongly suggested for easiness to develop the whole process, establish numerical data tabulation for data error identification easiness, etablish code for data back-tracked, develop field survey data table, develop data error possibilities tabel, develop a error logical tests, develop spreadsheet logical test function, do error identification calculation.


Full Text:

PDF

References


Baber, C. & Stanton, N.A. (2002). “Task Analysis for Error Identification : Theory, Method and Validation”. Theoritical Issues in Ergonomics Science, April 2002.

Baker, A. (2017). “Quality Assurance and Error Identification for the Community Earth Science Model”. SC 2017 Workshop – Software Correctness for HPC Applications. National Center for Atmospheric Research. Boulder, Colorado.

Cisco (2013). “Error Identification and Search”. Distributor and 2-Tier Partner Job Aid. CSCC – Cisco Service Contract Center. China.

Inbakaran, C. & Kroen, A. (2011). “Travel Survey – Review of International Survey Methods”. Proceedings Australasian Transport Research Forum 2011, 28-30 September 2011. Adelaide, Australia.

Kochmar, Ekaterina (2016). “Error Detection in Content Word Combinations”. Technical Report Number 886. Computer Laboratory. University of Cambridge. Cambridge.

Pratiwi, J.O. & Suprayitno, H. (2016). “Calculation Method to Analyze the Concordance between Supply and Demand of Bus Public Transport for Morning Commuter Trip at Gubeng Station”. IPTEK Journal of Proceeding Series 2016 (2) 1.

Schmaltz, Kim, Rush & Shieber (2017). “Sentence-Level Grammatical Error Identification as Sequence to Sequence Correction”. Working Paper. Harvard University. Cambridge, Massachussets.

Schurmann, C. (2006). “Introduction to Database Design”. Working Paper. IT University of Copenhagen. Copenhagen.

Silaen, S.K., Nasution, A.D. & Suwantoro, H. (2018). “Public Preference for New Service Network Plan BRT Trans Mebidang (Route : Pancurbatu – Sambu Market Center)”. IOP Conference Series : Materials Science and Engineering 420 (2018) 012010.

Soemitro, R.A.A. & Suprayitno, H. (2018). “Pemikiran Awal tentang Konsep Dasar Manajemen Aset Fasilitas”. Jurnal Manajemen Aset Infrastruktur & Fasilitas, Vol. 2, Sup. 1, Juni 2018, hal. : 1-13.

Suprayitno, H., Irlambang, D., Pramono, Y.A. & Wibowo, A.G. (2006). “Karakteristik Penumpang dan Perjalanan pada KA Penumpang Ekonomi di Wilayah Gerbangkertosusila”. Jurnal Teknobisnis, Vol. 2, No. 1, Juli 2006, hal. : 41-48.

Suprayitno, H. & Upa, V.A. (2016). “Mamminasata BRT User Trip Characteristics for the Design of Demand Modelling Method for a New BRT Line”. IPTEK, The Journal of Technology and Science, Vol. 27, No. 3, December 2016, pp. : 47-52.

Suprayitno, H., Ratnasari, V. & Saraswati, N. (2018). “Behavior of Trip Length Distribution Pattern due to the Variation of Trip Length Interval Determination”. IPTEK, Journal of Engineering, Vol. 4, No. 1, 2018, pp. : 7-11.

Suprayitno, H. & Ryansyah, M. (2018). “Karakteristik Pelaku dan Perilaku Perjalanan Penumpang Bis Trans Koetaradja, Koridor 1 : Keudah-Darulsalam”. Jurnal Aplikasi Teknik Sipil 16 (2), 55-62, 2018.

Suprayitno, H. & Soemitro, R.A.A. (2018). “Preliminary Reflexion on Basic Principle of Infrastructure Asset Management”. Jurnal Manajemen Aset Infrastruktur & Fasilitas, Vol. 2, No. 1, Maret 2018, hal. : 1-9.

Suprayitno, H. & Upa, V.A. (2017). “Special Conventional Transport Model for a New BRT Line Passenger Demand Prediction (The General Modeling Method)”. Journal of Technology and Social Science (JTSS), Vol. 1, No. 3, 2017, pp. : 10-18.

Susanti, A., Soemitro, R.A.A. & Suprayitno, H. (2017).”Identifikasi Awal Layanan Feeder di Tiap-Tiap Stasiun yang Menjadi Pemberhentian KA Penumpang di Kota Surabaya”. Rekats 17 (1), 2017.

Susanti, A., Soemitro, R.A.A. & Suprayitno, H. (2017a).”Wilayah Pengaruh Kereta Api Komuter terhadap Pengguna Sepeda Motor di Kota Surabaya”. Jurnal Transportasi 17 (3), 2017.

Susanti, A., Soemitro, R.A.A. & Suprayitno, H. (2018).”Identifikasi Awal Wilayah Pengaruh KA Komuter ditinjau dari Penggunaan Mobil di Kota Surabaya”. Bangunan 23 (1), 2018.

Susanti, A., Soemitro, R.A.A. & Suprayitno, H. (2018a).”Comparative Analysis on Access and Egress Distance for Semi BRT Trans Mamminasata and Commuter Train Susi”. Presented in CITIES, Surabaya, 24-25 October 2018.

Upa, V.A., Suprayitno, H. & Ryansyah, M. (2018). “Perbandingan dan Sintesis Karakterisitik Perilaku Perjalanan Pengguna Bis Trans Mamminasata dan Bis Trans Koetaradja”. Jurnal Manajemen Aset Infrastruktur & Fasilitas, Vol. 2, No. 2, September 2018, hal : 69-81.

Wang, Z., Gao, Y., Tse, S. & Qin, P. (2002). “Gross Measurement Error Identification Using the Grey System Theory”. Working Paper. Henan University of Science and Technology, Louyang, 471039, China.




DOI: http://dx.doi.org/10.12962/jifam.v1i1.5203

Refbacks

  • There are currently no refbacks.


 

Visitor :

Author Affiliate Statistics

View My Stats

 

 Flag Counter

Flag Counter


  

 

Creative Commons License
Journal Of Infrastructure & Facility Asset Management by Institut Teknologi Sepuluh Nopember is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.