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p-Index From 2021 - 2026
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All Journal Journal of Social Science Journal of Social Science
Darminto Pujotomo
Universitas Diponegoro, Indonesia
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Agricultural Marketing Strategies In The Digital Era: Improving The Competitiveness Of Local Products Gumoyo Mumpuni Ningsih; Harun Rasyid; Natali Ningsih; Darminto Pujotomo; Gijanto Purbo Suseno
Journal Of Social Science (JoSS) Vol 3 No 9 (2024): JOSS: Jurnal Of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v3i9.366

Abstract

In the digital era, the marketing of local agricultural products faces new challenges and opportunities, necessitating innovative strategies to enhance competitiveness. This study aims to identify effective agricultural marketing strategies to improve the competitiveness of local products in the digital market. A qualitative research method with a case study approach was employed, involving in-depth interviews with agricultural entrepreneurs and secondary data analysis from various digital platforms. The findings reveal that the use of digital technology, such as social media and e-commerce, and the adoption of data-driven marketing practices play a significant role in expanding market reach and boosting sales. The most effective strategies involve a combination of product storytelling, content personalization, and direct consumer engagement. The study concludes by highlighting the importance of integrating digital technology into marketing strategies to strengthen the position of local agricultural products in the global market and the need to enhance the capacity of entrepreneurs to utilize this technology optimally.
The Utilization of Big Data in Land Management and Planting Patterns: Predictive Innovation Towards Sustainable Agriculture Harun Rasyid; Gumoyo Mumpuni Ningsih; Natali Ningsih; Darminto Pujotomo; Gijanto Purbo Suseno
Journal of Social Science Vol. 6 No. 3 (2025): Journal of Social Science
Publisher : Syntax Corporation Indonesia

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Abstract

Modern agriculture faces major challenges related to land degradation, climate change, and inaccuracies in planting patterns. Data-driven decision-making is an urgent need in realizing sustainable agriculture. This study aims to analyze the influence of the use of big data on the effectiveness of land management and farmers' planting patterns. The research approach used is quantitative with a survey method of 120 farmers in Central Java who have used a big data-based system to monitor land and weather conditions. The data is analyzed by linear regression to see the relationships between variables. The results show that the use of big data significantly improves planting timeliness, fertilizer use efficiency, and crop yields. These findings indicate that big data-based predictive technologies can be an important innovation for adaptive and efficient agricultural management. The conclusion of this study emphasizes the importance of strengthening data infrastructure and training farmers in utilizing digital technology to support sustainable food security.
Co-Authors Gijanto Purbo Suseno Gijanto Purbo Suseno Gumoyo Mumpuni Ningsih Gumoyo Mumpuni Ningsih Harun Rasyid Harun Rasyid Natali Ningsih Natali Ningsih