SSA: Smart Sugarcane Agriculture Utilizing the Zachman Framework for Advanced Enterprise Architecture

¹ State University of Malang, Animation Study Program, Jl. Semarang 5 Malang, Jawa Timur, Indonesia
² National Dong Hwa University, Department of Computer Science and Information Engineering, No. 1, Section 2, Daxue Rd, Shoufeng Township Hualien County, ROC Taiwan
³ Institut Teknologi Nasional Malang, Department of Informatics Engineering, Jl. Sigura - Gura No.2 Sumbersari Kec. Lowokwaru, Malang, Jawa Timur, Indonesia
⁴ National Research and Innovation Agency, Research Organization of Agriculture and Food, Jakarta, Indonesia

Abstract

Enterprise Architecture (EA) is now indispensable for organizations to manage their business operations, data, infrastructure, and ICT systems. Sugarcane agriculture, using EA, is crucial for augmenting production efficiency for both sugarcane cultivators and researchers. Nevertheless, the sector faces considerable challenges in adopting EA, such as incomplete implementation, insufficient knowledge of technological advancements, suboptimal usability of architectural frameworks, lack of proper documentation, and slow service delivery. Additionally, there is no clear standardization for operating procedures. Some research has tried to tackle these challenges but often fails to systematically outline the steps and requirements for designing an enterprise architecture for SSA. This study aims to utilize EA for the Smart Sugarcane-Agriculture system, emphasizing the unique characteristics of agricultural fields. This research has developed a comprehensive EA model by employing the Zachman Framework (ZF) as an Enterprise Architecture Planning (EAP) methodology. The outputs include mapping the EA model, a list and classification of critical success factors, an EA service and information, a solution concept diagram, and an EA business process modelling to develop SSA. This research helps identify and select the appropriate EA framework for Smart Sugarcane Agriculture, assisting local governments and stakeholders in prioritizing critical factors in developing SSA EA.