Using Tree-Based Algorithm to Predict Informal Workers' Willingness to Pay National Health Insurance after Tele-Collection

Rizal Mansur, Athor Subroto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study aims to determine the main factors influencing the informal worker sector's willingness to pay (WTP) the National Health Insurance System (NHIS) payments following tele-collection. The difficulty for the NHIS program's viability in terms of contributions is the low WTP for payments from informal participants. Social Security Agency for Health (SSAH/BPJS Kesehatan) has made numerous initiatives to collect payments from informal participants, but their effectiveness remains low. Therefore, the author analyzed the tele-collection data set from the SSAH using socio-demographic data, product or service factors, and billing time as independent factors to predict WTP. In addition, this study used tree-based algorithms for modelling and using accuracy values and area under the ROC curve (AUC) to evaluate predictive results. Findings/Results: (a) The determinant factors of WTP for informal participants after tele-collection in this study are: access to facility health services, billing time, number of months in arrears, and the age of the family head, which collectively yielded a predicted probability of 82.4 per cent; (b) the Light Gradient Boosting Machine (LGBM) algorithm performed more accurately on the collected data compared to other tree-based algorithms. The findings of this study can be used practically by SSAH to improve the probability of success in their tele-collection program, which was previously less effective.

Original languageEnglish
Title of host publication2022 10th International Conference on Information and Communication Technology, ICoICT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-28
Number of pages6
ISBN (Electronic)9781665481656
DOIs
Publication statusPublished - 2022
Event10th International Conference on Information and Communication Technology, ICoICT 2022 - Virtual, Online, Indonesia
Duration: 2 Aug 20223 Aug 2022

Publication series

Name2022 10th International Conference on Information and Communication Technology, ICoICT 2022

Conference

Conference10th International Conference on Information and Communication Technology, ICoICT 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period2/08/223/08/22

Keywords

  • Data Mining
  • NHIS
  • Tele-collection
  • WTP

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