Implementation Simple Additive Weighting Method on The Decision Support System for Selection of Superior Cayenne Chili Seeds

  • Elvis Pawan STIMIK Sepuluh Nopember Jayapura https://orcid.org/0000-0003-4257-6000
  • Nourman S Irjanto STIMIK Sepuluh Nopember Jayapura
  • Ratih Nurul Aprilianti STIMIK Sepuluh Nopember Jayapura
  • Syaraswati Syaraswati STIMIK Sepuluh Nopember Jayapura
Keywords: Cayenne pepper, DFD, SAW method, Agriculture, Waterfall

Abstract

Cayenne pepper is one of Indonesia's mainstay horticultural crops, so the government continues to encourage farmers to maximize chili yields, aiming to achieve chili production targets. In Jayapura City, there are several areas that produce chilies, including in Koya Timur District, where most of the residents are farmers. The problem that occurs in the village of Koya Timur is the frequent crop failures due to pests, bad weather, or improper fertilization, with these problems farmers must be more selective in choosing seeds, so that the cayenne pepper plants that have been planted can survive until harvest. To select chili seeds, DSS was designed using the SAW method. The simple additive weighting (SAW) method is very suitable to be applied in a decision support system for selecting superior chili seeds, because the recommendation or the final result of the SAW method is in the form of rankings so that the selection of alternatives or chili seeds to be planted is very easy. Second, based on the results of testing the system's functionality using the blackbox method, the accuracy and suitability is 100%. Third, based on user acceptance test (UAT) testing, it shows that this system is feasible to implement.

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Published
2022-12-15
How to Cite
Pawan, E., Irjanto, N., Aprilianti, R., & Syaraswati, S. (2022). Implementation Simple Additive Weighting Method on The Decision Support System for Selection of Superior Cayenne Chili Seeds. Jurnal Bumigora Information Technology (BITe), 4(2), 167-178. https://doi.org/https://doi.org/10.30812/bite.v4i2.2386
Section
Articles