Pemanfaatan Gemini AI dalam Pembuatan Label Kemasan Produk Olahan Pertanian pada Kelompok Wanita Tani Secawati

Wily Andani; Teguh Iman Santoso; Supriyadi Supriyadi

doi:10.53863/abdibaraya.v5i02.2464

Authors

Wily Andani Universitas Wiralodra, Indramayu, Indonesia
Teguh Iman Santoso Universitas Wiralodra, Indramayu, Indonesia
Supriyadi Supriyadi Universitas Wiralodra, Indramayu, Indonesia

DOI:

https://doi.org/10.53863/abdibaraya.v5i02.2464

Keywords:

Gemini AI, processed agricultural food products, packaging labels, UTAUT, women farmers group

Abstract

Limited digital skills and the cost of packaging design are among the challenges faced by household-scale business actors in developing product identity and attractiveness. This community service activity aimed to improve the knowledge, digital skills, creativity, and independence of members of the Secawati Women Farmers Group, located in Krasak Village, Jatibarang District, Indramayu Regency, in creating packaging labels for processed agricultural products using Gemini AI. The activity was held on August 24, 2025, in Krasak Village, Jatibarang District, Indramayu Regency, and involved members of the Secawati Women Farmers Group, who operate various processed-food businesses. The implementation methods included lectures, discussions, demonstrations, and individual practice using smartphones. Participants received materials on the functions of packaging labels, essential product information, prompt formulation, and the stages of creating label designs with Gemini AI. Evaluation was conducted descriptively based on participants’ practical outputs and responses from 20 participants, collected through a closed-ended Likert-scale questionnaire and open-ended questions, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The results showed that participants were able to produce more attractive and informative label designs suited to their products' characteristics. Based on the participants’ dominant responses, performance expectancy accounted for the largest proportion at 40%, followed by effort expectancy at 25%, social influence at 20%, and facilitating conditions at 15%. These findings indicate that the perceived benefit of improved design quality was the primary factor influencing acceptance of Gemini AI. However, some participants still required assistance with formulating prompts and using the features, and faced limitations related to devices and internet access. Overall, the activity indicated improvements in participants’ digital literacy, creativity, and independence in developing product identities

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