Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method

Andreas Handojo; Nyoman Pujawan; Budi Santosa; Moses Laksono Singgih

doi:10.1007/978-981-99-1245-2_31

Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method

Andreas Handojo^*
, Nyoman Pujawan
, Budi Santosa
, Moses Laksono Singgih

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember
Petra Christian University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the development of transportation technology, online transportation is one of the choices of public transportation which is currently growing rapidly. Passengers can book transportation services through the app. The application will appoint a driver to fulfill the order. It takes a system that can prioritize service to loyal customers, to get priority to be served first. This is important in retaining loyal customers. In this research, the Recency Frequency Monetary (RFM) method was used to classify loyal customers. Based on this classification, drivers are appointed to fulfill orders from passengers (order matching). The method used to pair drivers and passengers is the Hungarian method. The simulation of this system will be tested using the Google Maps API. Based on the tests carried out, the results obtained that the system made was able to prioritize the fulfillment of orders from passengers based on its Recency Frequency Monetary value.

Original language	English
Title of host publication	Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022
Editors	Cucuk Nur Rosyidi, Pringgo Widyo Laksono, Wakhid Ahmad Jauhari, Muhammad Hisjam
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	331-338
Number of pages	8
ISBN (Print)	9789819912445
DOIs	https://doi.org/10.1007/978-981-99-1245-2_31
Publication status	Published - 2023
Event	6th Asia Pacific Conference on Manufacturing System and the 5th International Manufacturing Engineering Conference, APCOMS-IMEC 2022 - Surakarta, Indonesia Duration: 27 Oct 2022 → 28 Oct 2022

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	6th Asia Pacific Conference on Manufacturing System and the 5th International Manufacturing Engineering Conference, APCOMS-IMEC 2022
Country/Territory	Indonesia
City	Surakarta
Period	27/10/22 → 28/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Customer segmentation
Hungarian
Online transportation
Recency frequency monetary

Access to Document

10.1007/978-981-99-1245-2_31

Cite this

Handojo, A., Pujawan, N., Santosa, B., & Singgih, M. L. (2023). Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method. In C. N. Rosyidi, P. W. Laksono, W. A. Jauhari, & M. Hisjam (Eds.), Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022 (pp. 331-338). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1245-2_31

Handojo, Andreas ; Pujawan, Nyoman ; Santosa, Budi et al. / Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method. Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022. editor / Cucuk Nur Rosyidi ; Pringgo Widyo Laksono ; Wakhid Ahmad Jauhari ; Muhammad Hisjam. Springer Science and Business Media Deutschland GmbH, 2023. pp. 331-338 (Lecture Notes in Mechanical Engineering).

@inproceedings{b93b1b7d7b2f4f53b9254bdfd325d470,

title = "Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method",

abstract = "With the development of transportation technology, online transportation is one of the choices of public transportation which is currently growing rapidly. Passengers can book transportation services through the app. The application will appoint a driver to fulfill the order. It takes a system that can prioritize service to loyal customers, to get priority to be served first. This is important in retaining loyal customers. In this research, the Recency Frequency Monetary (RFM) method was used to classify loyal customers. Based on this classification, drivers are appointed to fulfill orders from passengers (order matching). The method used to pair drivers and passengers is the Hungarian method. The simulation of this system will be tested using the Google Maps API. Based on the tests carried out, the results obtained that the system made was able to prioritize the fulfillment of orders from passengers based on its Recency Frequency Monetary value.",

keywords = "Customer segmentation, Hungarian, Online transportation, Recency frequency monetary",

author = "Andreas Handojo and Nyoman Pujawan and Budi Santosa and Singgih, \{Moses Laksono\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.; 6th Asia Pacific Conference on Manufacturing System and the 5th International Manufacturing Engineering Conference, APCOMS-IMEC 2022 ; Conference date: 27-10-2022 Through 28-10-2022",

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editor = "Rosyidi, \{Cucuk Nur\} and Laksono, \{Pringgo Widyo\} and Jauhari, \{Wakhid Ahmad\} and Muhammad Hisjam",

booktitle = "Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022",

address = "Germany",

}

Handojo, A, Pujawan, N , Santosa, B & Singgih, ML 2023, Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method. in CN Rosyidi, PW Laksono, WA Jauhari & M Hisjam (eds), Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 331-338, 6th Asia Pacific Conference on Manufacturing System and the 5th International Manufacturing Engineering Conference, APCOMS-IMEC 2022, Surakarta, Indonesia, 27/10/22. https://doi.org/10.1007/978-981-99-1245-2_31

Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method. / Handojo, Andreas; Pujawan, Nyoman ; Santosa, Budi et al.
Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022. ed. / Cucuk Nur Rosyidi; Pringgo Widyo Laksono; Wakhid Ahmad Jauhari; Muhammad Hisjam. Springer Science and Business Media Deutschland GmbH, 2023. p. 331-338 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method

AU - Handojo, Andreas

AU - Pujawan, Nyoman

AU - Santosa, Budi

AU - Singgih, Moses Laksono

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

PY - 2023

Y1 - 2023

N2 - With the development of transportation technology, online transportation is one of the choices of public transportation which is currently growing rapidly. Passengers can book transportation services through the app. The application will appoint a driver to fulfill the order. It takes a system that can prioritize service to loyal customers, to get priority to be served first. This is important in retaining loyal customers. In this research, the Recency Frequency Monetary (RFM) method was used to classify loyal customers. Based on this classification, drivers are appointed to fulfill orders from passengers (order matching). The method used to pair drivers and passengers is the Hungarian method. The simulation of this system will be tested using the Google Maps API. Based on the tests carried out, the results obtained that the system made was able to prioritize the fulfillment of orders from passengers based on its Recency Frequency Monetary value.

AB - With the development of transportation technology, online transportation is one of the choices of public transportation which is currently growing rapidly. Passengers can book transportation services through the app. The application will appoint a driver to fulfill the order. It takes a system that can prioritize service to loyal customers, to get priority to be served first. This is important in retaining loyal customers. In this research, the Recency Frequency Monetary (RFM) method was used to classify loyal customers. Based on this classification, drivers are appointed to fulfill orders from passengers (order matching). The method used to pair drivers and passengers is the Hungarian method. The simulation of this system will be tested using the Google Maps API. Based on the tests carried out, the results obtained that the system made was able to prioritize the fulfillment of orders from passengers based on its Recency Frequency Monetary value.

KW - Customer segmentation

KW - Hungarian

KW - Online transportation

KW - Recency frequency monetary

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M3 - Conference contribution

AN - SCOPUS:85174711999

SN - 9789819912445

T3 - Lecture Notes in Mechanical Engineering

SP - 331

EP - 338

BT - Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022

A2 - Rosyidi, Cucuk Nur

A2 - Laksono, Pringgo Widyo

A2 - Jauhari, Wakhid Ahmad

A2 - Hisjam, Muhammad

PB - Springer Science and Business Media Deutschland GmbH

T2 - 6th Asia Pacific Conference on Manufacturing System and the 5th International Manufacturing Engineering Conference, APCOMS-IMEC 2022

Y2 - 27 October 2022 through 28 October 2022

ER -

Handojo A, Pujawan N , Santosa B , Singgih ML. Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method. In Rosyidi CN, Laksono PW, Jauhari WA, Hisjam M, editors, Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 5th International Manufacturing Engineering Conference - APCOMS-IMEC 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 331-338. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-99-1245-2_31

Online Transportation Order Matching Considering Passenger Priority Using Recency Frequency Monetary Method

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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