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All Journal International Journal of Social Service and Research Journal of Social Science
Ningsih, Natali
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Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Social Sciences

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The Utilization of Big Data in Land Management and Planting Patterns: Predictive Innovation Towards Sustainable Agriculture Rasyid, Harun; Ningsih, Gumoyo Mumpuni; Ningsih, Natali; Pujotomo, Darminto; Suseno, Gijanto Purbo
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.
Automated Vertical Farming System in Urban Areas: an Urban Farming Solution for Future Food Security Ningsih, Gumoyo Mumpuni; Rasyid, Harun; Ningsih, Natali; Pujotomo, Darminto; Suseno, Gijanto Purbo
International Journal of Social Service and Research Vol. 5 No. 8 (2025): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v5i8.1301

Abstract

Population growth in urban areas has resulted in a decrease in agricultural land and an increase in food dependence from outside the region. This poses a risk to the city's food security. This study aims to analyze the effect of the implementation of automation-based vertical farming systems on improving the food security of urban communities. The research was conducted in a quantitative descriptive manner with a survey approach on 100 respondents of urban farming households in Jakarta. Data were collected through questionnaires and analyzed using simple linear regression to measure the relationship between the use of automation technology (X) and food security levels (Y). The results of the study show that automatic vertical farming systems have a positive and significant influence on household food security, especially in the aspect of food supply availability and sustainability. These findings strengthen the argument that technology-based urban farming is the future solution for big cities in maintaining food security in a sustainable manner. Therefore, the integration of technology in the urban agricultural system needs to be expanded and supported through public policies.
Co-Authors Darminto Pujotomo Gijanto Purbo Suseno Gumoyo Mumpuni Ningsih Harun Rasyid