https://penerbitgoodwood.com/index.php/Jipper <p align="justify">Jurnal Ilmiah Pertanian dan Peternakan (Jipper) Is &nbsp;an open-access, peer-reviewed and scholary journal which aims to provide an excellent media for researchers, academicians, and practitioners to express their critical and fresh ideas to promote the theoretical and practical development of agricultural and livestock sectors. Jipper welcomes submissions of empirical research article, review article, &nbsp;case study, report and book review in the fields of agriculture and livestock.</p> Penerbit Goodwood en-US Jurnal Ilmiah Pertanian dan Peternakan 3031-5883 <p>Authors who publish with this journal agree to the following terms:</p> <ol> <li class="show">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a&nbsp;<a href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank" rel="noopener">Creative Commons Attribution License (CC BY-SA 4.0)</a>&nbsp;that allows others to share the work with an acknowledgment 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 acknowledgment 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> </ol> https://penerbitgoodwood.com/index.php/Jipper/article/view/5585 <p><strong>Purpose: </strong>To systematically map and review the landscape of smart farming technology in Indonesia, focusing specifically on its impact on the productivity and sustainability of the agricultural sector.</p> <p><strong>Methodology/approach: </strong>This research utilizes a Systematic Literature Review (SLR) guided by the PRISMA protocol. A qualitative thematic synthesis was performed on 10 selected articles published between 2021-2025, which were sourced from the IEEE Xplore, ScienceDirect, and Emerald Insight databases.</p> <p><strong>Results: </strong>The analysis shows that the Internet of Things (IoT), sensors, Big Data, and Machine Learning are the most predominantly applied technologies. Their implementation yields significant positive impacts, including enhanced plant growth (up to 26.3% taller) and more efficient resource use, such as a 4.75% savings in electrical energy.</p> <p><strong>Conclusions</strong>: The strategic integration of smart farming offers great potential for revitalizing the Indonesian agriculture sector. However, its success is highly dependent on overcoming major challenges, such as high investment costs, a rural digital infrastructure gap, and low digital literacy among farmers.</p> <p><strong>Limitations: </strong>This review is based on a limited set of 10 final articles, which, while relevant, may not encompass the full spectrum of smart farming applications and unpublished case studies in Indonesia.</p> <p><strong>Contributions: </strong>This study provides an evidence-based foundation for Indonesian policymakers to formulate targeted policies that address economic and infrastructure barriers. It also guides researchers and practitioners in developing more affordable and locally relevant technological solutions to accelerate the digital transformation in the agricultural sector.</p> Muhamad Ivan Fadilah Khalisha Alifia Zahra Copyright (c) 2026 Muhamad Ivan Fadilah, Khalisha Alifia Zahra https://creativecommons.org/licenses/by-sa/4.0 2026-02-11 2026-02-11 3 2 1 11 10.35912/jipper.v3i2.5585