Sistem Pendukung Keputusan Penentuan Home industry Menggunakan Metode Topsis

Main Article Content

Bob Aziz
Andrianingsih

Abstract

The research objective is a system that can determine the right home industry business in the midst of business competition, and to implement the TOPSIS technique when the Decision Support object sets the home industry right in the midst of intense competition. The categories used in this observation are initial capital, monthly working budget analysis, profit analysis, whether the selected business category is a variety of businesses with different types of enthusiasts, and there are various competitors with the same type of business. The data is taken based on the Home industry type of food. Decision Support System designed using TOPSIS technique, PHP programming language, Laravel framework, MySQL as database management, and Black-box Testing as the method used to test the functionality of the system that has been built. Based on the tests applied using the Black-box Testing technique, the conclusion of the test shows that the system made in series is as expected. In other words, the system designed will be able to help users who are just starting a Home industry business in determining which products to sell.

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Author Biographies

Bob Aziz, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi komunikasi dan Informatika, Universitas Nasional

Andrianingsih, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi komunikasi dan Informatika, Universitas Nasional

References

Zulkarnain, D., Syaifudin, Y.W. and Rahmad, C., 2016. Sistem Pendukung Keputusan Pemilihan Lokasi Strategis Cabang USAha Warung Makanan. Jurnal Informatika Polinema, 3(1), pp.53-53.

Dewi, S.M. and Windarto, A.P., 2019. Analisis Metode Electre Pada Pemilihan Usaha Kecil Home Industry Yang Tepat Bagi Mahasiswa. Sistemasi: Jurnal Sistem Informasi, 8(3), pp.377-385.

Amida, S.N. and Kristiana, T., 2019. Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Dengan Menggunakan Metode Topsis. JSAI (Journal Sci. Appl. Informatics), 2(3), pp.193-201.

Hwang, C.L. and Yoon, K., 1981. Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.

Poudel, B. and Kattel, S., 2019. Social changes in Musahar Community: A case study of Dhanusa District of Nepal. Nepal Journal of Multidisciplinary Research, 2(4), pp.9-16.

Agolla, J.E. and Lill, J.V., 2013. Public sector innovation drivers: a process model. Journal of Social Sciences, 34(2), pp.165-176.

Bloch, C. and Bugge, M.M., 2013. Public sector innovation—From theory to measurement. Structural change and economic dynamics, 27, pp.133-145.

Wang, Y., Sun, X. and Guo, X., 2019. Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors. Energy Policy, 132, pp.611-619.

De Vries, H., Bekkers, V. and Tummers, L., 2016. Innovation in the public sector: A systematic review and future research agenda. Public administration, 94(1), pp.146-166.

Cinar, E., Trott, P. and Simms, C., 2019. A systematic review of barriers to public sector innovation process. Public Management Review, 21(2), pp.264-290.

Patapan, H. and Wang, Y., 2018. The hidden ruler: Wang Huning and the making of contemporary China. Journal of Contemporary China, 27(109), pp.47-60.

Cruz, S. and Paulino, S., 2013. Public service innovation and evaluation indicators. Journal of technology management & innovation, 8, pp.26-26.