Improved performance of apple chip SMEs in Malang Raya is strongly influenced by
groups based on the product life cycle classification. The purpose of this study was to
classify apple chip SMEs based on the results of the classification at the product life cycle
stage, determine the prediction of apple chip sales and improve the performance of apple
chip SMEs in Malang Raya. The research location was in Malang Raya area which
consists of Malang Regency, Malang City, and Batu City. Data collection was obtained
from thirty-one respondents who were the owners of apple chips SMEs in Malang Raya.
Data analysis for cluster classification used the product life cycle stage and performance
improvement using artificial neural networks for prediction of sales production and
determination of dominant variables based on Cronbach's alpha and dominant indicators
based on corrected item-total correlations. The results showed that stage 1 was 2 SMEs,
stage 2 was 16 SMEs, stage 3 was 11 SMEs and stage 2 was SMEs. Improving the
performance of apple chip SMEs in Malang Raya through sales predictions in 2019-2023
is more focused on improving innovation through the ability to see the development of
consumer tastes and follow the development of technology related to product processing
and marketing.
DETERMINATION OF PRODUCT LIFE CYCLE THROUGH THE SELECTION OF BEST GEAR MATERIAL BY THE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION.
