Vol. 1 No. 1 (2026): JCSSE Jan - Mar 2026
Articles

Pemberdayaan Wanita Tani Dalam Peternakan Ikan Berbasis Teknologi AI

Ratih Puspitasari
Institut Bisnis dan Informatika Kesatuan
Gen Gen Gendalasari
Institut Bisnis dan Informatika Kesatuan
Rini Syarif
Institut Bisnis dan Informatika Kesatuan

Published 2026-01-08

Keywords

  • women farmers empowerment, fish farming, artificial intelligence, Internet of Things, rural economy.

How to Cite

Pemberdayaan Wanita Tani Dalam Peternakan Ikan Berbasis Teknologi AI. (2026). Journal of Community Service, Sustainability, and Empowerment, 1(1), 9-14. https://cakrawalasemesta.id/jcsse/article/view/8

Abstract

Empowering women farmers in the fisheries sector is a strategic approach to improving household economic welfare while supporting inclusive agricultural and fisheries development. This community service program aims to enhance the capacity of women farmers in freshwater fish cultivation through the application of Artificial Intelligence and Internet of Things technologies. The program was implemented in Cimandala Village, Sukaraja Sub-district, Bogor Regency, involving 30 women farmers who are members of the “Wanita Mandiri Sejahtera” group. The method employed was Participatory Action Research, encompassing baseline assessment, technical and digital training, assistance in implementing technology in fish ponds, and quantitative and qualitative impact evaluation. The results indicate a 41.8% increase in fish farming productivity, an average reduction of 12 days in harvest time, and a decrease in fish mortality rates from 32% to 9%. In addition, participants’ household income increased by IDR680,000 to IDR1,250,000 per month. The program also improved digital literacy, self-confidence, and the role of women farmers in household economic decision-making. Therefore, the application of AI-based technology in fish farming has proven effective not only in enhancing efficiency and production outcomes but also in strengthening the economic and social empowerment of women farmers in rural areas. This model has strong potential to be replicated as part of the development of a gender- and technology-based smart village concept.