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Pemberdayaan Petani Sayuran melalui Peningkatan Kesuburan Lahan, Usahatani dan Strategi Pemasaran di Desa Kenalan, Magelang Ekawati, Rina; Dewi, Multi Sari; Ingesti, Pantjasiwi Veni Rahayu; Gunawan, Minni
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 3 (2025): Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.11.3.468-477

Abstract

Kenalan Village is located in the Pakis, Magelang Regency. The village occupies 3.71% of the total area in Pakis District, with topography characterized by peaks and slopes. These topographic conditions have potential for agricultural activities, especially for horticultural crops (vegetables). The fertility of land used for crop cultivation can continuously decline if it is not balanced with soil fertility improvements. Harvesting fresh vegetables alone will not be sufficient for farmers' income; therefore, a digital marketing strategy is needed to increase added value. This service activity will be carried out from June to November 2024 in Kenalan Village, Pakis District, and Magelang Regency. The service is carried out through several activities, including socialization on increasing land fertility, analysis of vegetable farming, and marketing strategies for vegetable products. Technical guidance can improve the knowledge and technology obtained, especially in knowing the fertility level of the land owned and the marketing system for vegetable products so that farmers do not rely only on sales to collectors.
Pengaruh Fitur Artificial Intelligence: Chatbot, Visual Search dan Virtual Try On Terhadap Minat Beli Konsumen Pada e-Commerce Dewi, Multi Sari; Khasaanah, Aulia Uswatun
Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi Vol. 7 No. 1 (2026): Jurnal Ilmu Manajemen Retail (JIMAT) Universitas Muhammadiyah Sukabumi
Publisher : Fakultas Ekonomi Universitas Muhammadiyah Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jimat.v7i1.4447

Abstract

The development of Artificial Intelligence (AI) technology in e-commerce encourages the improvement of interactive and personalized digital shopping experiences. This study aims to determine the influence of chatbot, visual search, and virtual try-on features on consumer buying interest on e-commerce platforms. The research method used was quantitative descriptive association with purposive sampling techniques on 154 respondents who used e-commerce users who had used the three AI features. Data collection was carried out through the distribution of online questionnaires, and data analysis using multiple linear regression with the help of SPSS software. The results of the study show that the three AI features have a positive and significant influence on consumer buying interest. Virtual try-ons are the most dominant feature influencing buying interest, followed by visual search and chatbots. Simultaneously, the three features contributed 80.67% to consumer buying interest. These findings confirm that the use of AI features in e-commerce not only improves search efficiency and shopping convenience, but also drives more convincing purchasing decisions.