BUSINESS ARCHITECTURE DEVELOPMENT FOR INTEGRATED AGRICULTURE INFORMATION SYSTEM (IAIS) USING TOGAF FRAMEWORK
Keywords:
Integrated Agriculture Information System Architecture, Business Architecture, TOGAF FrameworkAbstract
Integrated Agriculture Information System (IAIS) is a system that specially manage data, information, and knowledge in Agriculture. Currently, IAIS development is done by arranging blueprint system. Blueprint is developed using Enterprise Architecture approach through TOGAF model framework. This article specifically discusses the Business Architecture Component, which is one of the architectures in TOGAF Framework. The development of IAIS Business Architecture started from the definition of targeted architecture, components, making the architecture. Through architecture development process, it is defined that IAIS has three main goals: (1) Empowering farmers by using ICT tools; (2) architecture and application development for IAIS; (3) IAIS is a connector to all stakeholders in agriculture. To reach those targets, the researchers built organization structure and an actor that is involved in using IAIS. There are four main functions: (1) System, Information Technology Infrastructure, and Organization Standardization; (2) Developing, managing, and maintaining application and infrastructure; (3) IAIS Implementation; (4) Management and Organization. Meanwhile, the services in IAIS are: (1) User Registration; (2) Requesting Application Services; (3) Requesting Information and Communication Technology Training Services; (4) Tendering Services; (5) Requesting Services; (6) Requesting Information; (7) Information Sharing; (8) Consulting (9) Recording and Observing User Specific Data; (10) Giving Agriculture Information and Knowledge.
Downloads
References
(n.d.).
Anthony, S. K. (2008). Implementing Service Oriented Architecture at the Canada Institute for Scientific and Technical Information. The Serials Librarian. Vol 55 (01-02). , 235-253.
Ayan, M. N., & Garcia, M. T. (2008). Prediction of University Students’ Academic Achievement by Linear and Logistic Model. The Spanish Journal of Psychology, 11(1), 275 - 288.
Badan Pusat Statistik. (2013). Laporan Hasil Sensus Pertanian 2013. Jakarta: Badan Pusat Statistik Republik Indonesia.
Bahji, S. E., Lefdaoui, Y., & Alami, J. E. (2013). Enhancing Motivation and Engagement: A Top Down Approach for the Design of a Learning Experience According to the S2P-LM. International Journal of Emerging Technologies in Learning, 8(6).
Bydzovska, H., & Popelinsky, L. (2013). Weak Students Identification: How Technology can Help. Proceedings of the European Conferene on e-Learning, (pp. 89-97).
Chen, M.-h., & Liao, J.-L. (2013). Correlations among Learning Motivation, Life Stress, Learning Satisfaction, and Self-Efficacy for Ph.D Students. The Journal of International Management Studies, 8(1), 157-162.
de Vries, M., & van Rensburg, A. (May 2009). Evaluating and Refining the 'Enterprise Architecture as Strategy' Approach and Artefacts. South African Journal of Industrial Engineering, Vol 20(1) : 31-43.
Delima, R., & Purwadi, J. (2015). Analisis Situs Web Pertanian Berbahasa Indonesia. Prosiding Seminar Nasional Komputer dan Informatika Terapan (Semnaskit). Jember.
Delima, R., Santoso, H. B., & Purwadi, J. (2016). Kajian Aplikasi Pertanian yang Dikembangkan di Beberapa Negara Asia dan Afrika. Prosiding Seminar Nasional Aplikasi Teknologi Informasi (SNATI). Yogyakarta.
Direktorat Pangan dan Pertanian. (2013). Studi Pendahuluan Rencana Pembangunan Jangka Menengah Nasional (RPJMN) Bidang Pangan dan Pertanian 2015-2019. Jakarta: Direktorat Pangan dan Pertanian, Bappenas Republik Indonesia.
Enterprise Architecture Solution. (2004). Service Oriented Enterprise Architecture Modelling. Enterprise Architecture Solution (EAS) Ltd.
Faulkner, R., Davidson, J. W., & McPherson, G. E. (2010). The value of data mining in music education research and some findings from its application to a study of instrumental learning during childhood. International Journal of Music Education, 28(3), 212-230.
Hand, D., Mannila, H., & Smyth, P. (2001). Principles of Data Mining. Cambridge: MIT Press.
Harrison, R. (2009). TOGAFTM 9 Foundation Study Guide : Preparation for the TOGAF 9 Part 1 Examination. Zaltbommel: Van Haren Publishing.
Hirji, K. K. (2001). Exploring data mining implementation. Communications of the ACM, 44(7), 87-93.
Linn, R. L., & Gronlund, N. E. (1995). Measurement and Evaluation in Teaching, 7th edition. Englewood Cliffs. New Jersey: Prentice Hall.
Marques, A., Borges, J., Sousa, P., & Pinho, A. (2011). An Enterprise Architecture Approach to Forest Management Support Systems Design : An Application to Pulpwood Supply Management in Portugal. European Journal of Forest Research , Vol. 130, Pp. 935-948.
Martinez, D. L., Karanik, M., Giovannini, M., & Pinto, N. (2015). Academic Performance Profiles: A Descriptive Model Based on Data Mining. European Scientific Journal, 11(9), 17-38.
Menchaca, A. G., Lebrun, C. V., Garcia, J. P., Benitez, E. O., Garza, O. A., Martinez, O. P., & Alvarado, S. C. (December 2013). Practical Application of Enterprise Architecture, Study Case of SME Metalmechanic in Mexico. European Scientific Journal, Vol 1, 233 - 241.
Menchaca, A. V. (November 2014). Strategic Alignment Model Between Business Processes and ICT's Through Enterprise Architectures for SME's. European Scientific Journal, Vol 1, 136-140.
Najafabadi, A. T., Najafabadi, M. O., & Farid-Rohani, M. R. (2013). Factors contributing to academic achievement: a Bayesian Structure Equation Modelling Study. International Journal of Mathematical Education in Science and Technology, 44(4), 490-500.
Pereira, C. M., & Sousa, P. (2005). Enterprise Architecture : Business and IT Alignment. Proceedings of 2005 ACM Symposium on Applied Computing, (pp. 1344-1345). Santa Fe, New Mexico, USA.
Schekkerman, J. (2004). Enterprise Architecture Validation : Achieving Business- Aligned and Validated Enterprise Architectures. Institute For Enterprise Architecture Developments.
Siang, J. J., & Santoso, H. B. (2016). Learning Motivation and Study Engagement: Do They Correlate with GPA? An Evidence From Indonesian University. Researchers World, VII(1), 111-118.
Stenzel, J. (2011). CIO Best Practices Second Edition : Enabling Strategic Value with Information Technology. Hoboken, New Jersey: John Wiley & Sons Inc.
Suchita, B., & Rajeswari, K. (2013). Predicting students academic performance using education data mining. International Journal of Computer Science and Mobile Computing, 2, 273-279.
Suhirman, Zain, J. M., & Herawan, T. (2014). Data Mining for Education Decision Support: A Review. International Journal of Emerging Technologies in Learning, 9(6), 4-19.
Wolfenden, P. J., & Welch, D. E. (2000). Business Architecture : A Holistic Approach to Defining The Organization Necessary to Deliver a Strategy. Knowledge and Process Management, Vol 7(2), 97-106.
