TY - GEN
T1 - Web mining in e-procurement
T2 - 3rd Asia Pacific Information Technology Conference, APIT 2021
AU - Dimas Trisaktyo Nugroho, Julius
AU - Mahendra, Rahmad
AU - Budi, Indra
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/1/15
Y1 - 2021/1/15
N2 - E-procurement is an electronic procurement system that became a key factor required to manage financial aspect of a country with appropriate controls and protected by legal policies. The Presidential Regulation in Indonesia expect all government institutions to run the e-procurement process following the procurement principles, namely effective, efficient, transparent, open, competitive, fair and accountable. However in the implementation of e-tendering, which is part of e-procurement, found there are practices that not in accordance with the procurement principles. In this study, an in-depth analysis conducted to evaluate the tender activities of the ministry in Indonesia. We apply data mining process towards the national procurement portal to analyze tender data and find the hidden pattern that would be useful to support the decision-making process. This study combines several techniques, e.g. web mining and statistical analysis approach. Our finding includes correlation patterns among a number of values existing in e-procurement portal.
AB - E-procurement is an electronic procurement system that became a key factor required to manage financial aspect of a country with appropriate controls and protected by legal policies. The Presidential Regulation in Indonesia expect all government institutions to run the e-procurement process following the procurement principles, namely effective, efficient, transparent, open, competitive, fair and accountable. However in the implementation of e-tendering, which is part of e-procurement, found there are practices that not in accordance with the procurement principles. In this study, an in-depth analysis conducted to evaluate the tender activities of the ministry in Indonesia. We apply data mining process towards the national procurement portal to analyze tender data and find the hidden pattern that would be useful to support the decision-making process. This study combines several techniques, e.g. web mining and statistical analysis approach. Our finding includes correlation patterns among a number of values existing in e-procurement portal.
KW - Data analytics
KW - E-procurement
KW - Statistical analysis
KW - Tender
KW - Web mining
UR - http://www.scopus.com/inward/record.url?scp=85106192780&partnerID=8YFLogxK
U2 - 10.1145/3449365.3449382
DO - 10.1145/3449365.3449382
M3 - Conference contribution
AN - SCOPUS:85106192780
T3 - ACM International Conference Proceeding Series
SP - 101
EP - 107
BT - 2021 3rd Asia Pacific Information Technology Conference, APIT 2021
PB - Association for Computing Machinery
Y2 - 15 January 2021 through 17 January 2021
ER -