Prediksi Kelayakan Operasional Mesin Rivet Menggunakan Regresi Linear Berganda

Abstract

Rivet engine is a machine used in connecting aluminum plates. Efforts to determine the feasibility of rivet engines at PT. XYZ has been done by looking at the results released by the machine. It often happens when the machine has produced a lot of goods, but the results do not meet good quality standards. This is caused by not knowing the feasibility of the operating conditions of the rivet engine. One way to find out the feasibility of rivet engine operation without having to wait for the result of splicing is to predict it from factors that have a big influence, namely the suitability of hydraulic pressure, splicing time, and punch diameter of the rivet engine. Because it involves more than one variable, the multiple linear regression method is used in making a prediction model for the feasibility of this rivet engine. Calculation of absolute error percentage and hypothesis testing is done to test the feasibility of the prediction model. In addition, in order to make it easier to find out the results of predicting the feasibility of its rivet engine, a desktop-based application is designed using the Unified Modeling Modeling (UML) and developed using the Java programming language. As a result, a prediction application has been successfully made where this application can predict the operational feasibility of the rivet engine based on the data corresponding to the hydraulic pressure, connection time, and punch diameter of the rivet engine.