{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:23:30Z","timestamp":1777555410490,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T00:00:00Z","timestamp":1636416000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Data Science"],"published-print":{"date-parts":[[2022,7,20]]},"abstract":"<jats:p>Digital Economy in recent years, especially in Southeast Asia, including Indonesia, is growing rapidly. E-commerce is one part of the Digital Economy. BPS-Statistics Indonesia as a Non-ministerial Government Agency responsible directly to the president has conducted an E-commerce Survey in 2019. From this publication, it is concluded that the interest of Indonesian traders using the internet in selling in recent years has increased. So, the urgency of using e-commerce data in its application in official Statistics is increasingly needed. Several studies have carried out the application of e-commerce data in the calculation of The Consumer Price Index (CPI). In this research, e-commerce data is applied with a case study using the data from one of online marketplaces in Indonesia in calculating CPI at city level in Java. The purpose of this study is to compare the marketplace-based CPI data and BPS-Statistics\u2019 survey-based CPI. The data is collected through web scraping techniques and followed by preprocessing data and analyzed descriptively. Web scraper that is built can be used in obtaining data. Commodity-level CPI with marketplace data tends to have relatively large prices which result in higher CPI being compared to BPS-Statistics CPI. Meanwhile, at the expenditure group level, the CPI between the two approaches is broadly similar in general.<\/jats:p>","DOI":"10.3233\/ds-210037","type":"journal-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T12:47:18Z","timestamp":1636462038000},"page":"79-95","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Implementation of marketplace data in\u00a0the\u00a0production of Consumer Price\u00a0Index\u00a0in\u00a0Indonesia"],"prefix":"10.1177","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9239-1544","authenticated-orcid":false,"given":"Muhammad Ghozy Al","family":"Haqqoni","sequence":"first","affiliation":[{"name":"BPS-Statistics, Indonesia."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8590-1451","authenticated-orcid":false,"given":"Setia","family":"Pramana","sequence":"additional","affiliation":[{"name":"BPS-Statistics, Indonesia."},{"name":"Politeknik Statistika STIS, Jakarta, Indonesia."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,11,9]]},"reference":[{"key":"ref001","unstructured":"R.\u00a0Anandan, R.\u00a0Sipahimalani, A.\u00a0Bharadwaj, J.\u00a0Jhangiani, D.\u00a0Kim and S.\u00a0Ramesh, e-conomy SEA: Unlocking the $200B Digital Opportunity. 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