Application of machine learning for modeling of knowledge of factors affecting the success of msmes case study of central Lombok district

Abstract

Micro, Small and Medium Enterprises have an important role in encouraging economic growth from various parts of Indonesia, especially in Central Lombok district. This study aims to determine the influence factors that are very important to not so important that affect the success of SMEs in Central Lombok district by using the research method Formal Concept Analysis. By using 36 sub-factors as attributes, and 30 samples were analyzed in four stages, namely formal context, formal concept, concept lattices, to iceberg concept lattices, so that the results of thirteen intents were found, namely Giving Discounts to Customers, Sales Promotion on Social Media, Saving Money in the Bank, Teamwork is considered Important, Source of Capital is considered Personal, Origin of the Company is considered Personal, Reciprocity to Customers, Business Training and Development, Social Media Sales with Facebook, Business Liquidity is Considered Adequate, Product Prices are at Market Prices, Customer Service is Assessed Good, and the last one is attending training from an agency or government, which is obtained from the iceberg concept lattices by applying a minimum support extent of 67%, and it is stated that it is an important factor that influences the success of MSMEs in Central Lombok district, while the intent is not included in the results of the iceberg concept lattice. stated factor that is not then it is important that can affect the success of MSMEs in Central Lombok Regency)