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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI
Rahayu, Nur W.
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Humanities Computer Science & IT Education Engineering Mathematics Social Sciences Other

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An enhanced domain ontology model of database course in computing curricula Rahayu, Nur W.; Ferdiana, Ridi; Kusumawardani, Sri S.
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1339-1347

Abstract

The ACM/IEEE Computing Curricula 2020 includes the study of relational databases in four of its six disciplines. However, a domain ontology model of multidisciplinary database course does not exist. Therefore, the current study aims to build a domain ontology model for the multidisciplinary database course. The research process comprises three phases: a review of database course contents based on the ACM/IEEE Computing Curricula 2020, a literature review of relevant domain ontology models, and a design research phase using the NeOn methodology framework. The ontology building involves the ontology reuse and reengineering of existing models, along with the construction of some classes from a non-ontological resource. The approach to ontology reuse and reengineering demonstrates ontology reusability. The final domain ontology model is then evaluated using two ontology syntactic metrics: Relationship Richness and Information Richness. These metrics reflect the diversity of relationships and the breadth of knowledge in the model, respectively. In conclusion, the current research contributes to the Computing Curricula by providing an ontology model for a multidisciplinary database course. The model, developed through ontology reuse and reengineering and the integration of non-ontological resources, exhibits more diverse relationships and represents a broader range of knowledge.
PENGEMBANGAN SISTEM OTOMATISASI PENGELOLAAN DATA EXCEL BERBASIS MICROSOFT POWER APPS Pradana, Satriya Adhi; Rahayu, Nur W.
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 12 No 4 (2025): in Press
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v12i4.1897

Abstract

Transformasi digital menjadi kebutuhan penting suatu pekerjaan untuk meningkatkan efisiensi operasional, namun sering terkendala oleh kesenjangan digital sumber daya manusia dan ketergantungan pada sistem manual berbasis Excel. Penelitian ini dilakukan untuk mengevaluasi implementasi sistem Enterprise Resource Planning (ERP) berbasis Low-Code Development Platform (LCDP) sebagai solusi digitalisasi proses pelaporan dan otomatisasi data Excel. Studi ini dikembangkan menggunakan ekosistem Microsoft Power Platform, khususnya Power Apps dan Power Automate, yang terintegrasi dengan SharePoint Lists sebagai basis data dan OneDrive sebagai penyimpanan berbasis cloud. Proses pengembangan dilakukan tanpa memerlukan keahlian pemrograman mendalam, sehingga memungkinkan partisipasi langsung dari pengguna non-teknis atau yang disebut citizen developers. Melalui pendekatan ini, sistem yang dibangun tidak hanya menekan biaya dan mempercepat waktu implementasi, tetapi juga mampu mengotomatisasi alur kerja pelaporan secara efektif. Hasil pengujian menunjukkan peningkatan efisiensi operasional serta kemudahan akses lintas perangkat. Penelitian ini menyimpulkan bahwa penerapan LCDP dalam pengembangan ERP merupakan metode efektif untuk mendukung transformasi digital pekerjaan, khususnya dalam mengatasi tantangan integrasi data dan meningkatkan produktivitas organisasi secara keseluruhan.
Co-Authors Kusumawardani, Sri S. Pradana, Satriya Adhi Ridi Ferdiana