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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics JSAI (Journal Scientific and Applied Informatics)
Elin Cahyaningsih
Faculty Of Computer Science Universitas Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Determine supporting features for mobile application of NUSANTARA Dana I. Sensuse; Ika Arthalia Wulandari; Erzi Hidayat; Elin Cahyaningsih; Pristi Sukmasetya; Wina Permana Sari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.204 KB) | DOI: 10.11591/eecsi.v5.1687

Abstract

This paper is a continuation of previous research focusing on the development of a model of knowledge management system for civil servant from three ministries in Indonesia (KEMENPAN&RB, BKN, and LAN). From previous study obtain a knowledge management model which is Government Human Capital Knowledge Management of Republic of Indonesia (NUSANTARA). Implementation of this model is conducted with web system, further development of this system still provides constraints from several sides in providing more optimal service against users requirements as well as limited accessibility and responsiveness. This paper aims to explore the supporting features that will be used to integrate pre- existing systems that build mobile knowledge management applications. Data were collected by interview from each related institution. The CommonKADS method is chosen as a technique to explore the problems and knowledge of each organization. SMAPA method is used to validate the result from the experts and end users. Results of this work are produced seven recommended supporting features there are vision and mission view, activity notification, group discussion, search repository, upload document and document activities log.
Perancangan dan Implementasi Intelligence Human Capital Development Plan untuk Jabatan Fungsional Kepegawaian Dita Nurmadewi; Elin Cahyaningsih; Randi Sunardi; Akbarnama Tangguh Dipantara
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7888

Abstract

Effective human resource management is an important key to improving organizational performance, especially in the government sector such as the State Civil Service Agency (BKN). This research focuses on the development of a website-based Intelligent Human Capital Development Plan (IHCDP) that utilizes the latest information technology, including PHP, JavaScript, and SQL, to dynamically identify, analyze, and meet employee training and development needs based on integrated data performance and training needs. The approach used in this study is the waterfall method, where each stage from design to implementation is carried out regularly and in a structured manner. The developed system allows real-time visualization of employee performance data, as well as analysis of training needs needed to improve employee competency in accordance with BKN's strategic objectives. The results of this study indicate that the implementation of IHCDP at BKN can increase efficiency in identifying specific training needs, aligning competency development with organizational goals, and significantly strengthening employee capacity in facing changes and challenges in the work environment. The use of information technology in this system also encourages the creation of transparency and accountability in human resource management in the BKN environment. Recommendations for developing features can later be developed into a dashboard to view the history of competency results carried out every two years at each level of office.
Co-Authors Akbarnama Tangguh Dipantara Dana I. Sensuse Dana Indra Sensuse Dieny Sukmiati Dieny Sukmiati Dita Nurmadewi Erzi Hidayat Hidayat, Erzi Ika Arthalia Wulandari Nur Chasanah Nur Chasanah Randi Sunardi Sari, Wina Permana Sensuse, Dana I. Sukmasetya, Pristi Sukmiati, Dieny Wina Permana Sari Wulandari, Ika Arthalia