Kamal, Amar Rahman (2023) Analisa Faktor-Faktor Yang Mempengaruhi Produktivitas Karyawan Menggunakan Principal Component Regression, K-Prototype Clustering, dan Markov Chain Studi Kasus PT X. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PT X memiliki banyak cabang pabrik diberbagai belahan dunia termasuk di Indonesia yang didirikan pada tahun 1969. Di Indonesia perusahaan ini memiliki 2 pabrik utama yang terletak di Jawa Timur dan Jawa Barat. PT X pabrik Jawa Timur memiliki masalah nilai produktivitas yang berada dibawah rata-rata standar untuk cabang Asia Tenggara yakni 70%. Produktivitas didefinisikan suatu konsep yang bersifat universal dan bertujuan untuk menyediakan lebih banyak barang atau jasa yang diperuntukkan lebih banyak manusia dengan sumber-sumber yang semakin sedikit. Karyawan PT X pabrik Jawa Timur dibagi menjadi 2 kelompok yakni bagian production dan supporting. PT X pabrik Jawa Timur belum melakukan analisa atau langkah peningkatan produktivitas pada karyawan supporting.
Pemodelan Principal Component Regression (PCR) yang berkaitan erat dengan Principal Component Analysis (PCA) digunakan untuk mengetahui faktor-faktor yang mempengaruhi produktivitas. Pemodelan menghasilkan R-squared model regresi sebesar 31%. Variabel Departemen dan Overtime signifikan terhadap model. Clustering K-Prototype digunakan untuk mengelompokkan karyawan berdasarkan produktivitas, Overtime, dan Departemen menjadi 2 kelompok yang memiliki karakteristik berbeda satu sama lain. First Step Analysis (FSA) pada Markov chain menghasilkan informasi lama waktu menjabat pada posisi grade ST1, ST2, ST3, ST4, dan ST5 secara berturut-turut adalah 5, 4, 4, 9, dan 6 tahun ==========================================================================================================================================
PT X is a company has many branch factories in various part of the world including in Indonesia which founded in 1969. In Indonesia the company has two main factories located in East Java and West Java. The Jawa Timur factory has a productivity problem that is below the standrad average for the Southeast Asian Branch which is 70%. Productivity is defined as a concept that is universal and aims to provide more goods or service for more people with fewer resources. Jawa Timur factory employees are divided into two groups, which is
production and supporting. The Jawa Timur factory has not start yet an analysis or steps to increase the productivity of the supporting employees. Principal Component Regression
(PCR), which is closely related to Principal Component Analysis (PCA), is used to identify the factors influencing productivity. The modeling results in a regression model's R-squared value of 31%. The variables Departement and Overtime are significant in the model. KPrototype clustering is utilized to group employees based on productivity, Overtime, and Departement into 2 clusters, each with distinct characteristics. In addition, the First Step Analysis (FSA) on the Markov chain provides information on the tenure in positions ST1, ST2, ST3, ST4, and ST5, which are 5, 4, 4, 9, and 6 years, respectively.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | PCR, PCA, Produktivitas, K-Prototype, FSA, Markov Chain |
| Subjects: | Q Science > QA Mathematics > QA274.7 Markov processes--Mathematical models. Q Science > QA Mathematics > QA278.55 Cluster analysis Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Amar Rahman Kamal |
| Date Deposited: | 01 Sep 2023 02:35 |
| Last Modified: | 01 Sep 2023 02:35 |
| URI: | http://repository.its.ac.id/id/eprint/104600 |
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