PENGEMBANGAN KNOWLEDGE MANAGEMENT SYSTEM (KMS) DENGAN MENERAPKAN TEKNIK KNOWLEDGE DATA DISCOVERY (KDD) (STUDI KASUS: PENERAPAN PADA BADAN KEPEGAWAIAN DAN PENGEMBANGAN SUMBERDAYA MANUSIA (BKPSDM) KOTA PALEMBANG)

RAFLY, MUHAMMAD and Firdaus, Masagus Afriyan (2021) PENGEMBANGAN KNOWLEDGE MANAGEMENT SYSTEM (KMS) DENGAN MENERAPKAN TEKNIK KNOWLEDGE DATA DISCOVERY (KDD) (STUDI KASUS: PENERAPAN PADA BADAN KEPEGAWAIAN DAN PENGEMBANGAN SUMBERDAYA MANUSIA (BKPSDM) KOTA PALEMBANG). Undergraduate thesis, Sriwijaya University.

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Abstract

Badan Kepegawaian dan Pengembangan Sumberdaya Manusia (BKPSDM) of Palembang City is one of the government institutions in South Sumatra Province which has the main task of carrying out the regulation and implementation of regional policies in the Regional Civil Service and Training, especially in the Department of Education and Training of Human Resources for Civil Servants. Civil Servant Education and Training is one of the efforts to improve the competencies of Civil Servant because human resources who have the competencies that the organization needs will determine the success of the organization in carrying out its duties. This goes along with the vision of BKPSDM Palembang to create a professional and innovative ASN (civil servant). However, to do so, BKPSDM still finds difficulties in the process of planning, managing, sharing knowledge about training issues, documenting knowledge, and implementing civil servant training. That is why Knowledge Management System (KMS) is needed which could help BKPSDM to solve problems that are related to the management of knowledge that could be useful in planning and implementing civil servant training. The KMS is built using the 10-Step Knowledge Management Roadmap as the Knowledge Management development method. In addition, to facilitate the process of profiling ASN based on the training, Knowledge Management also implement the processing result from Knowledge Data Discovery (KDD) Technique using the C4.5 Algorithm to find civil servant training data information that will be used for civil servant predictions who will be considered as civil servant training participants and profiling of civil servants based on the training. The processing result from KDD is a pattern of profiling ASN based on the training that will be implemented in KMS to assist the process of sharing knowledge that is related to civil servant training and the training implementation in BKPSDM. This system is a web application that is built using PHP as the programming language and RapidMiner to run the data mining phase in Knowledge Data Discovery (KDD) Process.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Knowledge Management, Knowledge Management System, Knowledge Sharing, 10-Step Knowledge Management Roadmap, Knowledge Data Discovery (KDD), Algoritma C4.5, RapidMiner.
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions: 09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: MUHAMMAD RAFLY
Date Deposited: 29 Jul 2021 06:12
Last Modified: 29 Jul 2021 06:12
URI: http://repository.unsri.ac.id/id/eprint/50932

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