Jurnal Info Sains : Informatika dan Sains
Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024

Optimizing Agricultural Data Management: A Collaborative Approach through Extreme Programming in Software Development

Sihombing, Denny Jean Cross (Unknown)



Article Info

Publish Date
07 Jan 2024

Abstract

This research explores the profound transformation of the agricultural sector through the application of advanced technologies, pursuing efficiency and sustainability. The first phase, Data Collection, focuses on identifying data needs for farm management through field surveys and the integration of agricultural sensors. Technologies such as mobile apps and the Internet of Things (IoT) help to efficiently collect high-quality data on soil, weather, and other agricultural factors. The second phase, Application Development, introduces technology integration with Extreme Programming (XP) methods, resulting in adaptive and efficient applications. XP's collaborative and responsive process ensures the successful implementation of the app through thorough functional tests before the official launch. The final phase, User Acceptance Analysis, evaluates user acceptance variables with the Technology Acceptance Model (TAM), highlighting perceived usefulness as a critical factor in users' intention to adopt the application. Implications of the findings include suggestions for app updates focusing on optimizing the user interface to improve perceived usefulness. In discussion, this research blends aspects of technology and farm management, providing an in-depth look at the potential for continuous innovation in improving agricultural productivity. Overall, this research reflects valuable contributions regarding current technological solutions to optimize farm management in the modern era, paving the way for continuous improvements in efficiency and responsiveness to changes in the agricultural cycle

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Journal Info

Abbrev

InfoSains

Publisher

Subject

Computer Science & IT

Description

urnal Info Sains : Informatika dan Sains (JIS) discusses science in the field of Informatics and Science, as a forum for expressing results both conceptually and technically related to informatics science. The main topics developed include: Cryptography Steganography Artificial Intelligence ...