PROTOTYPE KNOWLEDGE MANAGEMENT SYSTEM UNTUK MENINGKATKAN PENYULUHAN KELUARGA BERENCANA BERBASIS ANDROID:STUDI KASUS BADAN PEMBERDAYAAN PEREMPUAN PERLINDUNGAN ANAK DAN KELUARGA BERENCANA KOTA BEKASI

Authors

DOI:

https://doi.org/10.31000/jika.v1i2.525

Abstract

The management of knowledge (knowledge management) is very important in an institution or organization to acquire and share knowledge (knowledge sharing) in order to develop the human resource potential and manage the company's assets or intellectual institutions, thus becoming close attention of Badan Pemberdayaan Perempuan, Perlindungan Anak dan Keluarga Berencana (BP3AKB) Bekasi. The purpose of this study was to determine the extent of the influence of the knowledge management system of knowledge in the KB extension outreach activities, and building a knowledge management system application that can assist employees in planning extension activities online that can be accessed by android smartphone, which is expected to increase the productivity of employees . The method of this research is descriptive quantitative method which is supported by The Most Admired Knowledge Enterprise (MAKE), and a model of knowledge management system knowledge management system architecture using Amrit Tiwana. The results of this study based on questionnaires to the application of the android-based knowledge management system for employees that are on the 3:40 to 4:19 interval, the average value of the entire statement at 4:00 is well received.

 

Keywords: Knowledge Management, Activity Counseling KB, MAKE, Architecture Knowledge Managemet System Amrit Tiwana, Android application.

Downloads

Published

2026-01-28

Issue

Vol. 1 No. 2 (2017): JIKA (Jurnal Informatika)

Section

Articles

License

License and Copyright Agreement

In submitting the manuscript to the journal, the authors certify that:

  • They are authorized by their co-authors to enter into these arrangements.
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.

Copyright

Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. 
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Licensing for Data Publication

International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:

Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.

Open Data and Software Publishing and Sharing

The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.

Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.

Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.