PREDIKSI PENDAPATAN PERIODE SELANJUTNYA PADA TOKO PUTRA DINI MENGGUNAKAN METODE REGRESI LINEAR BERGANDA

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dc.contributor.authorKarim, Abdul
dc.contributor.supervisorFitriansyah, Aidil
dc.date.accessioned2023-12-14T06:41:15Z
dc.date.available2023-12-14T06:41:15Z
dc.date.issued2023-09
dc.description.abstractAccording to the Law of the Republic of Indonesia No. 20 of 2008 concerning MSMEs. Article 1 states that a micro business is a productive business owned by an individual and/or an individual business entity that has the criteria for a micro business as stipulated in the law. One of the criteria for MSME traders is that they have not implemented administrative activities in running their business, as a result there are problems that arise, namely not being able to manage finances properly. At the PUTRA DINI store, for example, the owner of the men's clothing store revealed that he did not separate the expenses from the shop or himself in a well-thought-out manner. The purpose of this research is to create a system that can predict future income so that bussinesman can balance their income and expenses. In this research the case study is located at the Putra Dini store at ITC Sukaramai. The method used in predicting income uses multiple linear regression methods. In this method two independent variables are used, namely the number of goods sold and the number of transactions. The results of the prediction of income in the next period, month January 2023, obtained a prediction result of IDR 93,650,653 with an MAD error value of 0.25 units.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11261
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectIncome Prediction Systemen_US
dc.subjectPutra Dini Storeen_US
dc.subjectMultiple Linear Regressionen_US
dc.subjectand MADen_US
dc.titlePREDIKSI PENDAPATAN PERIODE SELANJUTNYA PADA TOKO PUTRA DINI MENGGUNAKAN METODE REGRESI LINEAR BERGANDAen_US
dc.typeArticleen_US

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