MODEL KNOWLEDGE MANAGEMENT DALAM MENINGKATKAN KINERJA PT KL JAKARTA

RISALINA, RISALINA (2022) MODEL KNOWLEDGE MANAGEMENT DALAM MENINGKATKAN KINERJA PT KL JAKARTA. S2 thesis, Universitas Mercu Buana Jakarta.

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Abstract

This study aims to analyze the function of the Knowledge Management Model in improving performance and to obtain the most appropriate model in improving performance at PT KL. The population used in this study is the Knowledge Management division of PT KL Group. A questionnaire consist of a written questions made based on indicators of research variables that respondents must respond to. The data analysis technique used in this research is AHP (Analytical Hierarchy Process) developed by Thomas L. Saaty. Testing the model using the latest version of ANP Super Decision Software 3.2.0., to analyze the function of the Knowledge Management Model in improving the performance of PT KL with two criterias. The first criteria (criteria-1): Quality, Quantity, Timeliness, Cost Effectiveness, Need Supervision, Intrapersonal Effect. The second criterion (criteria-2): Completeness, Connectedness, and Congruency, Perspective & Purpose. The alternatives that can be used to improve the performance of PT KL are: Passive Public Knowledge, Active Public Knowledge, Passive Share Knowledge, Active Share Knowledge, Passive Personal Knowledge, and Active Personal Knowledge. The results obtained indicate that the answers from the respondents have met the consistency requirements and the model has been proven both in terms of sensitivity or stability. The Knowledge Management Model in this study shows the importance of Passive Public Knowledge to improve performance at PT KL. Keyword: Knowledge Management, AHP, Performance, Penelitian ini bertujuan untuk menganalisis fungsi Model Knowledge Management dalam meningkatkan kinerja dan untuk mendapatkan model yang paling sesuai dalam meningkatkan kinerja pada PT KL. Populasi yang digunakan dalam penelitian ini adalah divisi Knowledge Management PT KL Group. Untuk pengumpulan data digunakan kuesioner yang berisi daftar pertanyaan tertulis yang ditujukan kepada responden. Daftar pertanyaan yang dibuat berdasarkan indikator-indikator dari variabel penelitian yang harus direspon oleh responden. Teknik analisis data yang digunakan pada penelitian ini adalah AHP (Analytical Hierarchy Process) yang merupakan suatu model pendukung keputusan dikembangkan oleh Thomas L. Saaty. Pengujian model menggunakan bantuan software ANP Super Decision versi terbaru yaitu 3.2.0., untuk menganalisis fungsi Model Knowledge Management dalam meningkatkan kinerja PT KL dengan dua kriteria yang dibangun berdasarkan teori yang telah ada. Kriteria pertama (criteria-1) yang digunakan adalah: Quality, Quantity, Timeliness, Cost Effectiveness, Need Supervision, Intrapersonal Effect. Kriteria kedua (criteria-2) yang digunakan adalah: (1) Completeness, (2) Connectedness, (3) Congruency, (4) Perspective and Purpose. Pada bagian akhir, terdapat alternatif yang dapat digunakan untuk meningkatkan kinerja PT KL yaitu: (1) Passive Public Knowledge (2) Active Public Knowledge, (3) Passive Share Knowledge, (4) Active Share Knowledge, (5) Passive Personal Knowledge, dan (6) Active Personal Knowlegdge. Hasil yang telah didapat menunjukkan bahwa jawaban dari responden telah memenuhi syarat konsistensi dan model yang dibangun telah terbukti baik dari sisi sensitivitas atau kestabilannya. Model Knowledge Management pada penelitian ini menunjukkan pentingnya Passive Public Knowledge untuk meningkatkan kinerja pada PT KL. Kata Kunci: Knowledge Management, AHP, Performance

Item Type: Thesis (S2)
Call Number CD: CD/551. 22 068
Call Number: TM/51/22/057
NIM/NIDN Creators: 55120110103
Uncontrolled Keywords: Knowledge Management, AHP, Performance
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.4 System Programming and Programs/Sistem Pemrograman dan Program
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.4 System Programming and Programs/Sistem Pemrograman dan Program > 005.43 Operating System/Sistem Operasi
Divisions: Pascasarjana > Magister Manajemen
Depositing User: WADINDA ROSADI
Date Deposited: 22 Oct 2022 08:39
Last Modified: 29 Oct 2022 01:59
URI: http://repository.mercubuana.ac.id/id/eprint/70790

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