Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation

https://doi.org/10.22146/ijccs.65586

Debby Alita(1), Ade Dwi Putra(2*), Dedi Darwis(3)

(1) Universitas Teknokrat Indonesia
(2) Universitas Teknokrat Indonesia
(3) Universitas Teknokrat Indonesia
(*) Corresponding Author

Abstract


The performance appraisal process in Religious High Court Bandar Lampung has not been carried out objectively, but rather a subjectivity element (relationship closeness). Some employees occupy structural positions but do not fulfil competence and promotion principles, so that it has an impact on providing promotion to a position in the judiciary. Multiple Linear Regression method can provide a predictive model for employee recommendations entitled to occupy positions in the agency. The method implementation using SPSS produces an equation Y = 74.177 + 0.035X1 + 0.020X2 - 0.026X3 + 0.045X4 + 0.001X5. This equation is applied to the employee performance values, and it is obtained from 40 employees 26 employees deserve to be given recommendations promotion. Regression performance testing results using 10-cross validation get the correlation coefficient value is 80.66% with MAE value of 2.24% and RMSE 3.88%, which mean has good performance.

Keywords


job promotion; multiple linear regression; predictive model; structural position

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References

B. S. Gandhi, D. A. Megawaty, And D. Alita, “Aplikasi Monitoring Dan Penentuan Peringkat Kelas Menggunakan Naive Bayes Classifier,” J. Inform. Dan Rekayasa Perangkat Lunak, Vol. 2, No. 1, Pp. 54–63, 2021.

D. Alita, I. Sari, A. R. Isnain, And S. Styawati, “Penerapan Naïve Bayes Classifier Untuk Pendukung Keputusan Penerima Beasiswa,” J. Data Min. Dan Sist. Inf., Vol. 2, No. 1, Pp. 17–23, 2021.

I. Ahmad, H. Sulistiani, And H. Saputra, "The Application Of Fuzzy K-Nearest Neighbour Methods For A Student Graduation Rate," Indones. J. Artif. Intell. Data Min., Vol. 1, No. 1, Pp. 47–52, 2018.

D. Alita, I. Tubagus, Y. Rahmanto, S. Styawati, And A. Nurkholis, “Sistem Informasi Geografis Pemetaan Wilayah Kelayakan Tanam Tanaman Jagung Dan Singkong Pada Kabupaten Lampung Selatan,” J. Soc. Sci. Technol. Community Serv., Vol. 1, No. 2, 2020.

A. A. Aldino And H. Sulistiani, "Decision Tree C4. 5 Algorithm For Tuition Aid Grant Program Classification (Case Study: Department Of Information System, Universitas Teknokrat Indonesia)," Edutic-Scientific J. Informatics Educ., Vol. 7, No. 1, 2020.

Z. Abidin, “Regresi Linier Berganda Untuk Penentuan Nilai Konstanta Pada Fungsi Konsekuen Di Logika Fuzzy Takagi-Sugeno,” 2016.

E. N. Mukaroh And D. A. Nani, “Pengaruh Kecerdasan Emosional Dan Kecerdasan Spiritual Terhadap Kinerja Karyawan,” Revenue J. Manaj. Bisnis Islam, Vol. 2, No. 1, Pp. 27–46, 2021.

A. A. Muhartini, O. Sahroni, S. D. Rahmawati, T. Febrianti, And I. Mahuda, “Analisis Peramalan Jumlah Penerimaan Mahasiswa Baru Dengan Menggunakan Metode Regresi Linear Sederhana,” J. Bayesian J. Ilm. Stat. Dan Ekon., Vol. 1, No. 1, Pp. 17–23, 2021.

W. R. Amalia, M. Imron, And H. Warnaningtyas, “Pengaruh Gaya Kepemimpinan Transformasional Dan Kompensasi Terhadap Kinerja Pegawai Kpri Sejahtera Madiun,” J. Ekomaks J. Manajemen, Ekon. Kreat. Dan Bisnis, Vol. 10, No. 1, Pp. 33–39, 2021.

D. A. Nani, M. T. K. Handayani, And V. A. D. Safitri, “Fraud Dalam Proses Akademik Pada Perilaku Mahasiswa,” Jaf-Journal Account. Financ., Vol. 5, No. 1, Pp. 11–20, 2021.

S. Sofiyanti And D. Novita, “Peran Trustworthiness, Attractiveness, Expertise Pada Minat Beli (Studi Kasus Pada Pengguna Media Sosial Instagram),” Pros. Konf. Nas. Ekon. Manaj. Dan Akunt., Vol. 1, No. 1, 2021.

W. Li, H. Wu, N. Zhu, Y. Jiang, J. Tan, And Y. Guo, "Prediction Of Dissolved Oxygen In A Fishery Pond Based On Gated Recurrent Unit (Gru)," Inf. Process. Agric., Vol. 8, No. 1, Pp. 185–193, 2021.

D. Alita, "Multiclass Svm Algorithm For Sarcasm Text In Twitter," Jatisi (Jurnal Tek. Inform. Dan Sist. Informasi), Vol. 8, No. 1, Pp. 118–128, 2021.

S. Ahdan And S. Setiawansyah, “Pengembangan Sistem Informasi Geografis Untuk Pendonor Darah Tetap Di Bandar Lampung Dengan Algoritma Dijkstra Berbasis Android,” J. Sains Dan Inform. Res. Sci. Inform., Vol. 6, No. 2, Pp. 67–77, 2020.

S. Styawati, W. Yulita, And S. Sarasvananda, “Survey Ukuran Kesamaan Semantic Antar Kata,” J. Data Min. Dan Sist. Inf., Vol. 1, No. 1, Pp. 32–37, 2020.

L. Ariyanti, M. N. D. Satria, And D. Alita, “Sistem Informasi Akademik Dan Administrasi Dengan Metode Extreme Programming Pada Lembaga Kursus Dan Pelatihan,” J. Teknol. Dan Sist. Inf., Vol. 1, No. 1, Pp. 90–96, 2020.

N. Neneng And Y. Fernando, “Klasifikasi Jenis Daging Berdasarkan Analisis Citra Tekstur Gray Level Co-Occurrence Matrices (Glcm) Dan Warna,” Pros. Semnastek, 2017.



DOI: https://doi.org/10.22146/ijccs.65586

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