Analysis of Success Factors Ranking: Machine Learning Projects of E-Commerce in Indonesia

Riko Wijayanto, Teguh Raharjo, Bob Hardian, Agus Suhanto

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

Abstract

A research about software development project revealed that only 31% projects were successfully conducted and the entire was challenged. On the other report, 62% IT projects failed in terms of delivery time, 49% over the cost, and 47% projects obtained higher maintenance cost. In the era of the machine learning also digital intelligence as now, e-commerce located in Indonesia competes to win a market acquisition by giving recommended products through the digital intelligence approach. But this key objective has a challenge in terms of the deliverable process. Study case from an e-commerce in Indonesia stated that given seven projects, only one projects or system still being used until the end, two projects were decommissioned, and also a project was halted due to facing a lot of issues. Hence, this applied research was initiated to identify the rank of success factors in the field of machine learning projects. Qualitative combined by quantitative methods were used sequentially to get the critical factors and measure the rank based on hierarchical analytics using AHP. Six projects' success criteria and fifteen success factors criteria evaluated by the four experts on high level position both developers and project managers. The highest rank of the projects' success criteria is user's satisfaction by 27.7%, meet the quality standard by 22.8%, and meet the time by 18.8%. In terms of critical success factors, the top three are clarity on the project's goal and objective by 15.25%, project manager's capability by 9.37%, and followed by clear communication by 8.82%.

Original languageEnglish
Title of host publication2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665442640
DOIs
Publication statusPublished - 2021
Event13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021 - Depok, Indonesia
Duration: 23 Oct 202126 Oct 2021

Publication series

Name2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021

Conference

Conference13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
Country/TerritoryIndonesia
CityDepok
Period23/10/2126/10/21

Keywords

  • AHP
  • e-commerce
  • machine learning
  • project management
  • success factor ranking

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