Toward a Conceptual Data Model Design for the Report Digitalization Project in the CSR Department of PT ABC
DOI:
https://doi.org/10.31154/isc12.v12i7.236.1412-1423Keywords:
Data Modeling, Digitalization, CSR Reporting, ERD, Mining IndustryAbstract
The increasing demand for digital transformation in the mining sector highlights the importance of developing efficient data management approaches, particularly in Corporate Social Responsibility (CSR) reporting. Current practices in mining companies often rely on conventional spreadsheet-based systems, which lead to inefficiencies such as inconsistent data formats, limited searchability, and difficulties in historical data tracking. This study explores a conceptual approach to data model design that can support the digitalization of CSR reporting in a mining company context, emphasizing efficiency, accuracy, and transparency. Adopting the Design Science Research (DSR) methodology, the study involves problem identification, formulation of solution objectives, and the development of an initial conceptual model using data modeling techniques. Data will be gathered through literature review, interviews, and observation of CSR reporting practices within the mining sector. This work aims to provide an early-stage foundation for future research and system development, offering both theoretical insights into data modeling for CSR digitalization and practical directions for subsequent implementation and evaluation.References
Cristofel, C., & Kurniawati, K. (2021). Pengaruh enterprise risk management, corporate social responsibility dan kepemilikan institusional terhadap nilai perusahaan. Jurnal Akuntansi Bisnis, 14(1), 1–12. https://doi.org/10.30813/jab.v14i1.2468
Danava, D. (2021). Menuju era digitalisasi pertambangan. Prosiding Temu Profesi Tahunan PERHAPI, 0–1.
Dirgantara, M. R., Syahputri, S., & Hasibuan, A. (2023). Pengenalan database management system (DBMS). Jurnal Ilmiah Multidisipline, 1(6), 300–301. https://doi.org/10.5281/zenodo.8123019
Kauwo, F. M. (2016). Analysis of the process of knowledge management at PT Meares Soputan Mining Likupang. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 4(2), 266–272. https://doi.org/10.35794/emba.4.2.2016.12969
Kereh, V. M., Supardjo, S., & Lintong, S. (2023). Dampak pertambangan emas PT MSM Bitung Minahasa Utara terhadap kawasan permukiman dan sosial ekonomi masyarakat. Sabua: Jurnal Lingkungan Binaan dan Arsitektur, 12(1), 30–39. https://doi.org/10.35793/sabua.v12i1.48814
Lontaan, R. J., & Sinadia, A. R. (2024). Design and development of a web-based high school information system. CogITo Smart Journal, 10(2), 593–606. https://doi.org/10.31154/cogito.v10i2.745.593-606
Mambu, J. Y., Lontaan, R. J., Lompoliu, E., Salindeho, J., & Sambul, J. (2022). IT governance capability level identification of COBIT 2019 at the RSUP Prof. Dr. R.D. Kandou, Manado, North Sulawesi. semanTIK, 8(2), 121–128. https://doi.org/10.55679/semantik.v8i2.28547
Pakpahan, C. (2023). Memahami pemodelan data: Ulasan jurnal. Universitas Sumatera Utara.
Pulukadang, U. R. (2018). Studi sequence penambangan PT Meares Soputan Mining dalam mencapai produksi 347.850 ton bijih tertambang pada semester 2 di Pit Toka, Tokatindung Gold Mine Project, Likupang, Sulawesi Utara, Indonesia [Undergraduate thesis, Universitas Sriwijaya].
Pungus, S. R., Poluan, S. E. R., & Rantepadang, A. R. (2016). Aplikasi informasi restoran berbasis web services di Kota Manado. CogITo Smart Journal, 2(1), 14–27. https://doi.org/10.31154/cogito.v2i1.11.14-27
Pungus, S. R., Yahaya, J., Deraman, A., & Bakar, N. H. (2019). A data modeling conceptual framework for ubiquitous computing based on context awareness. International Journal of Electrical and Computer Engineering (IJECE), 9(6), 5495–5501. https://doi.org/10.11591/ijece.v9i6.pp5495-5501
Putra, E., Haerani, C., Sidomulyo, R., Rondonuwu, V., Golung, C., & Stenly, A. (2024). Digitalisasi museum berbasis web dengan AR dan QR Code (studi kasus pada Museum Sulawesi Utara). Jurnal Teknik Elektro dan Komputer TRIAC, 11(1). Universitas Klabat. https://journal.trunojoyo.ac.id/triac
Qiu, J., Wu, Q., Ding, G., Xu, Y., & Feng, S. (2016). A survey of machine learning for big data processing. EURASIP Journal on Advances in Signal Processing, 2016(1), 67. https://doi.org/10.1186/s13634-016-0355-x
Sondakh, D. E., Pungus, S. R., & Putra, E. Y. (2022). Indonesian undergraduate students’ perception of their computational thinking ability. CogITo Smart Journal, 8(1), 68–80. https://doi.org/10.31154/cogito.v8i1.387
Suryadi, S. (2019). Implementasi normalisasi dalam perancangan database relational. U-NET Jurnal Teknik Informatika, 3(2), 20–26. https://doi.org/10.52332/u-net.v3i2.7
