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All Journal Biopropal Industri Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL BUANA Jurnal Ilmu Kefarmasian Indonesia Jurnal Pengabdian Teknologi Tepat Guna Edusentris: Jurnal Ilmu Pendidikan dan Pengajaran International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) JES-MAT (Jurnal Edukasi dan Sains Matematika) Jurnal Multidisiplin Madani (MUDIMA) Jurnal Pengabdian Masyarakat DEDIKASI Journal of Economics Al-ATHFAL: Jurnal Pendidikan Anak AL-ATHFAL: Jurnal Pendidikan Anak Jurnal Buana Parapemikir Jurnal Ilmiah Farmasi Compile: Journal of Society Service JURNAL BUANA
Devi Ratnasari
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MONITORING DASHBOARD USING LINEAR REGRESSION FOR EMPLOYEE PERFORMANCE Muhammad Oktoda Noorrohman; Mochammad Ilham Aziz; Saifulloh Azhar; Satria Pradana Rizki Yulianto; Widodo; Devi Ratnasari; Fatika La Viola Ifanka; Melvien Zainul Asyiqien
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 11 (2025): OCTOBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i11.1101

Abstract

Company management needs to continuously monitor and measure the performance of its employees to ensure the achievement of the goals that have been set. The performance monitoring process requires data and information obtained from 35 employees. The problem is in the process of the employee payroll system, attendance, leave and the main thing is data management for monitoring employees still use conventional method by manual. The results of performance monitoring will then be conveyed to interested parties, efficiently and effectively. After that, the existing data were analyzed using SPSS which stands for Statistical Product and Service Solution. Validity testing can also be done using SPSS and produces a validity test of the data, which is < 0.05 so it is valid. The reliability test of the data is > 0.70, 0.751 for employee salaries and 0.757 for employee performance so it is reliable. The normality test of the data are > 0.05, 0.077 for employee salaries and 0.059 for employee performance so that the data is normally distributed. The linearity test of the data is 0.604 > 0.05, it can be concluded that there is a linear relationship between salary and employee performance. Regression analysis test simple linear data from the data, namely the significance level of 0.001 < 0.05 then the regression model can be used to predict the participation variable or in other words there is an effect of the salary variable on the performance variable.
Co-Authors Agus Salim Ahsanal Kasasiah Aisya Briliana Putri K Amalina Diananda Safira Ameliya Sayyidatus Syifa' Andi Dadi Mashuri Makmur Anggraena Roesmiena Waty Anita Dhuwi Rahayu Aradhana Maheswara Ari Khusumadewi Arindra Pasca Mauliddiana Ary Aprian Crisfatika Yulianti Deded Chandra Dian Tias Aorta Elang Mohamad Atoilah Elviana Rohmah Rosyidatul ‘Ula Fatika La Viola Ifanka Feby Adriyanti Firman Harry Noviardi Jaka Nugraha M. Solehuddin Martono Mega Fatimah Rosana Melvien Zainul Asyiqien Mochammad Ilham Aziz Muhammad Fermadianto Muhammad Oktoda Noorrohman Nailah Hadi Paramita Nova Elisa Ponoharjo, Ponoharjo Ramdani, Hasbi Taobah Riska Apriyani Rosa Arum Satria Pradana Rizki Yulianto Septia Anggraini Shabrina Nailah Lubis Shiva Nur Aisyah Sitaresmi Yuningtyas Sulastini Surahman Taqiyyatul Azizah Widodo Wikan Budi Utami WIRYO NURYONO Zahara Farhan