Optimizing Data Interoperability: An Approach Towards Unified Employment Data in Indonesia
This research focuses on efforts to optimize data interoperability towards unified employment data in Indonesia, which consists of planning, manufacturing, integration, and marketing strategies using the Twitter social media account @kemnakerRI, which has the potential to provide valuable guidance f...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | SHS Web of Conferences |
| Subjects: | |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2024/24/shsconf_diges-grace2024_02002.pdf |
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| Summary: | This research focuses on efforts to optimize data interoperability towards unified employment data in Indonesia, which consists of planning, manufacturing, integration, and marketing strategies using the Twitter social media account @kemnakerRI, which has the potential to provide valuable guidance for policy development, planning, and implementation of promotional strategies in future. Data analysis using NVivo 12 Plus comes from various media, news, and Twitter data support Revealing activity on social media accounts includes four main aspects. Planning (Planning) provided the most significant contribution, namely 24%, which reflects the awareness and maturity of the Ministry of Manpower’s strategy. Planning includes determining topics, scheduling placements, and using specific techniques to increase engagement. Content Creation accounts for 20%, indicating active efforts in producing informative material through graphics, infographics, videos, or text posts. Integration is 21% complete, meaning efforts to integrate information into broader initiatives and campaigns. Marketing activity (Marketing) of 19% shows that the @kemnaker social media account is an effective channel for marketing and promoting information related to One Employment Data, considering its benefits and success, as well as facing the challenges of differences in data standards, integration, and regulatory differences. The novelty of the research is that it combines social media data analysis to support the optimization of one employment data strategy. |
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| ISSN: | 2261-2424 |