https://jist.publikasiindonesia.id/index.php/jist <p><a title="UMJ Papua" href="https://umjpapua.ac.id/">Jurnal Indonesia Sosial Teknologi</a> is a journal published once a month by CV. Publikasi Indonesia. Jurnal Indonesia Sosial Teknologi is an international peer-reviewed journal devoted to publishing the most recent research in all fields of science. Published articles are articles from research, studies, or critical and comprehensive scientific studies on important and current issues or reviews of scientific books.</p> <p>International Scientific Journals can only be accessed through our official web page, apart from this website, it is beyond our responsibility.</p> en-US <p>Authors who publish with this journal agree to the following terms:</p> <ul> <li class="show">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a<a href="https://creativecommons.org/licenses/by-sa/4.0"> Creative Commons Attribution-ShareAlike 4.0 International.</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li> <li class="show">Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li> <li class="show">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</li> </ul> [email protected] (Editor) [email protected] (Siti Ainul) Tue, 07 Apr 2026 00:00:00 +0000 OJS 3.2.1.2 http://blogs.law.harvard.edu/tech/rss 60 https://jist.publikasiindonesia.id/index.php/jist/article/view/9189 <p>Digital transformation is driving significant changes in various organizational functions, including in the procurement process. Traditional procurement processes still often rely on manual activities and limited data analysis that can hinder organizational productivity. This study aims to analyze the role of Artificial Intelligence (AI) in increasing procurement productivity through the use of data analysis and procurement process automation. The research method used is a literature study by examining various studies related to the implementation of AI in Procurement and supply chain management published in the period 2020–2026. The results of the study show that AI technology such as machine learning, predictive analytics, and intelligent automation is able to improve the efficiency of the procurement process through predicting needs, automatic supplier evaluation, and data-based decision-making. AI implementation also contributes to reducing human error, increasing transparency, and accelerating the procurement cycle. Thus, the integration of AI in the Procurement system can increase organizational productivity and support digital transformation in supply chain management.</p> Oskar Ezra Alan Muin, M.M. Lanny W. Pandjaitan, Lukas Lukas Copyright (c) 2026 Oskar Ezra Alan Muin, M.M. Lanny W. Pandjaitan, Lukas Lukas https://creativecommons.org/licenses/by-sa/4.0 https://jist.publikasiindonesia.id/index.php/jist/article/view/9189 Tue, 28 Apr 2026 00:00:00 +0000