COMMUNITY CASE STUDY article
Front. Sustain. Food Syst.
Sec. Land, Livelihoods and Food Security
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1612302
This article is part of the Research TopicDigital Agricultural Technologies for Improving Food Security OutcomesView all 4 articles
Predicting Millennial Farmer Success by Highlighting the Role of Digitalization and Technology in Increasing Productivity
Provisionally accepted
Yanter Hutapea1
Andjar Prasetyo2*Yardha Yardha1Nur Imdah Minsyah1Demas Wamaer1Suharyon Suharyon1Achmad Tarmizi3Sekar Nur Wulandari4Dwi Septiyarini5Ari Sasmoko Adi6- 1National Research and Innovation Agency (BRIN), Bogor, Jakarta, Indonesia
- 2Bappeda Kota Magelang, Central Java, Indonesia, Magelang, Indonesia
- 3Expert Staff of The Regent in Government Affairs, Ogan Komering Ulu Regency, South Sumatera Province, Indonesia, Ogan Komering Ulu Regency,, Indonesia
- 4Regional Development Planning Research and Innovation Agency of Tanjung Pinang Province, Indonesia, Tanjung Pinang, Indonesia
- 5Regional Development Research and Development Agency of West Kalimantan, Indonesia, Pontianak, Indonesia
- 6Regional Development Planning Agency of East Kalimantan Province, Samarinda, Indonesia, Samarinda, Indonesia
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This study aims to analyze the main factors that affect the success of millennial farmers in increasing quantity in Indonesia. This study uses a quantitative approach with the K-Nearest Neighbors Regression model to predict the success of millennial farmers based on three main factors, infrastructure, business dynamism, and the adoption of information and communication technology. Secondary data was collected from the conversion index of the number of millennial farmers aged 39+ years who use digital and modern technology, for the three main factors of the regional competitiveness index in 34 provinces with analysis based on Mean Squared Error and Mean Dropout Loss. The results show that infrastructure (0.101) and business dynamism (0.099) have the greatest impact on the success of millennial farmers, while technology adoption (0.025) contributes less. While digitalization is important, its effectiveness depends on the readiness of the infrastructure and supporting business ecosystems. Theoretically, this research enriches the literature on digital transformation in agriculture. In practical terms, these results confirm the need for infrastructure investment and policies that support business innovation so that digitalization has an optimal impact on millennial farmers.
Keywords: Millennial farmers, digitalization, agricultural productivity, Agricultural technology, Machinelearning, K-nearest neighbors, infrastructure, Business dynamism
Received: 15 Apr 2025; Accepted: 30 Aug 2025.
Copyright: © 2025 Hutapea, Prasetyo, Yardha, Minsyah, Wamaer, Suharyon, Tarmizi, Wulandari, Septiyarini and Adi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Andjar Prasetyo, Bappeda Kota Magelang, Central Java, Indonesia, Magelang, Indonesia
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.