Analisis Log Linier dan Analisis Korespondensi terhadap Indeks Profesionalitas Aparatur Sipil Negara Pemerintah Kabupaten Kediri

Ningrum, Fauzizah Fatma (2022) Analisis Log Linier dan Analisis Korespondensi terhadap Indeks Profesionalitas Aparatur Sipil Negara Pemerintah Kabupaten Kediri. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Indeks Profesionalitas Aparatur Sipil Negara (IP ASN) merupakan instrumen untuk mengukur secara kuantitatif profesionalitas ASN dalam melaksanakan tugas jabatan yang meliputi empat indikator yaitu, kualifikasi pendidikan, kompetensi, kinerja, serta kedisiplinan pegawai. Hasil pengukuran nilai IP ASN Tahun 2021 diketahui bahwa Pemerintah Kabupaten Kediri (Pemkab Kediri) memiliki nilai IP ASN dalam kategori Sangat Rendah. Oleh karena itu, penelitian ini akan mengkaji tentang hubungan serta pola kecenderungan antar indikator pengukuran IP ASN di Pemkab Kediri dengan metode yang digunakan adalah analisis log linier dan analisis korespondensi. Hasil analisis menunjukkan bahwa pegawai ASN Pemkab Kediri sebagian besar merupakan lulusan S-1/D-IV yang memiliki skor kompetensi sebesar 15 atau 17,5, dengan nilai kinerja yang dimiliki antara 61 – 90, serta tidak pernah mendapat hukuman disiplin. Selain itu, diketahui bahwa kompetensi pegawai Pemkab Kediri cukup rendah karena masih ada 37% pegawai yang belum mengikuti diklat dan pengembangan kompetensi. Terdapat hubungan antar indikator pengukuran IP ASN dimana kualifikasi pendidikan yang semakin tinggi cenderung memiliki kompetensi, kinerja, dan disiplin yang semakin tinggi, pada kompetensi yang semakin tinggi cenderung memiliki kinerja dan tingkat disiplin yang semakin baik, serta pada kinerja yang semakin baik cenderung memiliki tingkat kedisiplinan yang semakin baik pula. Dengan diketahuinya hubungan antar variabel tersebut, diharapkan dapat menjadi evaluasi bagi Pemkab Kediri dan BKD agar dapat meningkatkan nilai kompetensi pegawai ASN melalui diklat dan kegiatan pengembangan kompetensi sesuai tugas jabatan pegawai dalam meningkatkan profesionalitas pegawai ASN Pemkab Kediri.
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The State Civil Apparatus Professionality Index (IP ASN) is an instrument to quantitatively measure the professionalism of ASN in carrying out their job duties which includes four indicators, educational qualifications, competence, performance, and discipline. The results of measuring IP ASN in 2021 are known that Kediri Regency Government has an IP ASN in the Very Low category. Therefore, this study will examine the relationship between IP ASN indicators in Kediri Regency with the methods used are linear log analysis and correspondence analysis. The results of the analysis show that the majority of Kediri Regency ASN employees are S-1/D-IV graduates who have a competency score of 15 or 17.5, their performance scores are between 61 – 90, and have never received disciplinary punishment. In addition, it is known that the competence of Kediri Regency employees is low because there are still 37% of employees who have not attended training and competency development. There is a relationship between IP ASN indicators where higher educational qualifications tend to have higher competence, performance, and discipline. Higher competence tend to have higher performance and discipline, and the better performance tends to have a better level of discipline. By knowing the relationship between these variables, it is hoped that it can be an evaluation for the Kediri Regency Government and BKD in order to increase the competency value of ASN employees through training and competency development activities according to the duties in improving the professionalism ASN of the Kediri Regency Government.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Analisis Korespondensi, Analisis Log Linier, Pemkab Kediri. Correspondence Analysis, IP ASN, Kediri Regency Government, Log Linear Analysis.
Subjects:	H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	FAUZIZAH FATMA NINGRUM
Date Deposited:	18 Oct 2023 02:02
Last Modified:	18 Oct 2023 02:02
URI:	http://repository.its.ac.id/id/eprint/101602

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