Ariel Kristianto
Institut Informatika Indonesia

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Journal : Elkom: Jurnal Elektronika dan Komputer

Analisa Variabel Pengaruh Kinerja Karyawan Pada PT. XYZ menggunakan Regresi Linear Berganda Ariel Kristianto
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.503

Abstract

Many companies require good employee performance in order to achieve company goals, business competition is a trigger for companies to improve the performance of their employees. The variables used to determine the effect of the company's employee performance are discipline, compensation, work environment and training. This research was conducted on employees of PT. XYZ involved 60 respondents. This study uses a saturated sampling technique and uses a Likert scale. The analysis used was multiple linear analysis, with the regression equation Y = 16.349 + 0.068X1 + 0.001X2 + 0.159X3 + 0.287X4. The conclusions of this study are, (1) employee performance is not significantly affected by discipline, (2) employee performance is not significantly affected by compensation, (3) employee performance is not significantly affected by the work environment, (4) employee performance is significantly influenced by training, (5) Employee performance is influenced simultaneously by discipline, compensation, work environment and training.
Analisa Performa K-Means dan DBSCAN dalam Clustering Minat Penggunaan Transportasi Umum Ariel Kristianto
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.551

Abstract

Public transportation is one of the important modes of transportation and is the backbone of transportation in Indonesia. The development of public transportation is also supported by the government, this government support is evident in the national policy, namely the National Medium Term Development Plan (RPJMN). Although public transportation is an effective mode of transportation, it also has obstacles in its development, namely how to meet customer desires in choosing a mode of transportation. There are several variables that are the focus of this research, namely age, gender, income, cost, speed, comfort, safety, efficiency and flexibility. The search for influential variables will use the K-Means and DBSCAN clustering algorithms, these two algorithms are also compared to their performance to find a better algorithm. The results of the Silhouette Coefficient show that DBSCAN has a better performance with a value of 0.99 than K-Means with a value of 0.86. The variables that affect the interest in using public transportation are the most important ones related to cost, speed, comfort, safety, efficiency and flexibility.