Journal of Engineering, Electrical and Informatics Vol.4, No.1 February 2024 e-ISSN: 2809-8706; p-ISSN : 2810-0557, page 31-55 DOI: https://doi.org/10.55606/jeei.v4i1.2785 Received December 30, 2023; Accepted January 30, 2024; Published February 29, 2024 * Martinus Duryadi , duryadiagustus18@gmail.com Processing, Analyzing And Testing Quantitative Research Hypotheses With Smartpls Software3 Martinus Duryadi STT Moriah Tangerang duryadiagustus18@gmail.com Abstract The method used in this paper is seen as the nature of exploration as applied research, the nature of the explanation of non-causality research, while the method used is qualitative. The purpose of this paper is to introduce statistical computer software. There are many computer statistics software, the author introduces SmartPLS3. SmartPLS3, compared to other computer statistical software; If used to analyze linear regression, multiple regression, especially path analysis models, has advantages. In the path analysis research model, SmartPLS3 is superior when compared to SPSS. If analyzing using SPSS to test hypotheses with moderation variables or through mediation variables, it is necessary to calculate the value of the regression coefficient using the Sobel test. The path analysis research moderation model, mediation model and combined model of mediation moderation (modmed) if analyzed using SmartPLS3 only needs to juxtapose the results of the analysis in the direct influence, moderation effect (in the path coefficient table), and in the indirect influence table (table specific indirect effect); Based on hypothesis test criteria with moderation or through mediation variables. Keywords : path analysis path coefficients specific indirect effect SmartPLS3 INTRODUCTION The development of computer technology, especially statistical computers in the form of software , makes it easier for a researcher to process and analyze quantitative research data. Statistical computer experts understand the need for researchers to process, analyze and test research hypotheses by developing various types of appropriate and suitable software . With statistical computer software , researchers just have to choose the software they want. Currently, various software is available that can be used to process and analyze research results, including: Statistical Package for the Social Sciences ( SPSS ), S tructural Equation M odeling Analysis of M oment S tructure ( SEM AMOS) , Li nier S tructural Relationships ( LISREL) , Partial Least Square ( SmartPLS3 ) ( Harahap, 2020) . The choice of software used to analyze research data must be considered according to the research model and objectives, so that the resulting analysis results appropriately answer the research problem. There are two types of SEM ( structural equation modeling ) software , namely covariance-based structural equation modeling ( CB-SEM ) and partial least squares path modeling (PLS-SEM (Pering, 2020) ), often also called variance-based structural equation modeling (VB-SEM). Covariance-based structural equation modeling is represented by software such as AMOS, EQS, LISREL , while variance-based structural equation modeling is represented by PLS-Graph, SmartPLS3, VisualPLS and so on (Ghozali & Latan, 2020) . PLS