Analisis Capaian Kinerja Dengan Model Regresi Linear Pada Perancangan Sistem Informasi Capaian Kinerja Dirjen Migas-Reference-Cited by-同舟云学术

Analisis Capaian Kinerja Dengan Model Regresi Linear Pada Perancangan Sistem Informasi Capaian Kinerja Dirjen Migas

Published:2024-01-27 Issue:1 Volume:4 Page:40-49
ISSN:2808-4845
Container-title:Jurnal Nasional Teknologi Komputer
language:
Short-container-title:JNASTEK

Author:

Akil Ibnu

Abstract

To monitor the performance of the government or government unit, a performance report is required. When submitting reports, you should utilize information technology. The Director General of Oil and Gas still uses the Excel application in reporting, this reduces one of the performance assessment points. In determining the performance percentage, a special formulation is required. The aim of this research is how to transform the Excel application into a web-based information system using a linear regression model in calculating performance achievements. From the results of testing and implementation of the linear regression model, we succeeded in calculating the performance percentage according to the Excel results.

Publisher

CV Hawari

Reference11 articles.

1. R. Akbar, “Pengukuran Kinerja dan Akuntabilitas Publik di Indonesia Studi Awal di Pemerintah Daerah,” J. Akunt. dan Akuntabilitas Publik, vol. 1, no. 1, p. 1, 2018, doi: 10.22146/jaap.35332.

2. U. Muzakir, Baharuddin, A. Manuhutu, and H. Widoyo, “Penerapan Kecerdasan Buatan Dalam Sistem Informasi: Tinjauan Literatur Tentang Aplikasi, Etika, dan Dampak Sosial,” vol. 6, no. 4, pp. 708–713, 2023.

3. Y. Herdiana, “Penerapan Machine Learning Dengan Model Linear Regression Terhadap Analisis Kualitas Hasil Petik the Di Pt. Perkebunan …,” Comput. J. Inform., vol. 09, pp. 1–9, 2022, [Online]. Available: https://unibba.ac.id/ejournal/index.php/computing/article/view/855%0Ahttps://unibba.ac.id/ejournal/index.php/computing/article/download/855/710.

4. R. S. Pressman, Software Quality Engineering: A Practitioner’s Approach 7th ed, vol. 9781118592. McGraw Hill, 2014.

5. K. Mali, “Everything you need to Know about Linear Regression,” AnalyticsVidhya, 2023. https://www.analyticsvidhya.com/blog/2021/10/everything-you-need-to-know-about-linear-regression/ (accessed Jan. 09, 2024).