Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Computer Science Application and Engineering Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK)
Ican Anwar
Mojatecs IT Solutions
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
From Traditional to Intelligent Agriculture: A Vision for the Future Ican Anwar
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 4 No. 1 (2026): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v4i1.94

Abstract

The transition from traditional agriculture to intelligent, data-driven farming systems is increasingly critical for addressing challenges related to climate change, resource limitations, and food security. This study presents a comprehensive framework for intelligent agriculture by integrating Internet of Things technologies, machine learning techniques, and decision support systems to enhance agricultural productivity and sustainability. The proposed approach follows a structured methodology involving data acquisition, preprocessing, feature selection, intelligent modeling, and performance evaluation. Experimental results indicate that intelligent agriculture improves water-use efficiency by approximately 28%, reduces fertilizer usage by 22%, and enhances crop yield prediction accuracy from 62% to 88% when compared with traditional farming practices. Early pest and disease detection capabilities are improved by nearly 35%, enabling timely intervention and reduced crop losses. These findings demonstrate that intelligent agriculture significantly outperforms conventional methods while promoting sustainable resource management. Despite challenges related to infrastructure and adoption, the study confirms that intelligent agriculture represents a promising and resilient solution for future agricultural systems.
The Impact of Intelligent Agriculture on Sustainability and Food Security Ican Anwar
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 4 No. 1 (2026): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v4i1.98

Abstract

Agricultural systems face increasing challenges related to resource depletion, climate variability, and food insecurity, requiring innovative and sustainable solutions. This study examines the impact of intelligent agriculture on sustainability performance and food security outcomes. A quantitative comparative design was employed, involving several farms categorized into intelligent agriculture adopters and conventional farmers. Data were analyzed using a sliding time-window approach, Structural Equation Modeling (SEM), and predictive machine learning techniques to evaluate direct and mediated effects. The findings reveal that intelligent agriculture significantly improves yield (33% increase), reduces water and fertilizer use (approximately 25%), and decreases production variability by more than 50%. Sustainability performance strongly mediates the relationship between intelligent agriculture and food security, resulting in a 27% improvement in the Food Security Index. These results confirm that intelligent agriculture enhances long-term agricultural resilience and resource efficiency, providing empirical support for policies promoting digital farming technologies to achieve sustainable food systems.
Co-Authors