Workshop Big Data Analysis bagi Mahasiswa Akuntansi di Kota Pontianak: Upaya Peningkatan Aplikasi Teknik Rasio dan Indeks Keuangan
DOI:
https://doi.org/10.53088/penamas.v5i1.1680Keywords:
Big Data, Financial Statement, Ratio, IndexAbstract
Big data has become a new phenomenon amidst the development of technology and easy access to information. This condition significantly affects research in the field of accounting. Accounting students are academics who have the opportunity to conduct quantitative research. Ratio and index techniques are one step in utilizing the ease of accessing financial reports. However, there are still many accounting students who have not utilized big data due to a lack of knowledge. The purpose of this workshop is to introduce how to use big data analysis techniques easily and quickly. This workshop was held to improve the analytical skills of accounting students with financial data. The evaluation method uses a rubric for assessing financial report analysis practicums. The results of this community service have succeeded in increasing students’ insight and statistical analytical skills using the Microsoft Excel program. A total of 10 participants have applied ratio and index techniques and have completed calculations for 558 municipal financial data in Indonesia.
References
Anekawati, A., & Rofik, M. (2021). Pelatihan dan Pendampingan Analisis Data Penelitian Kualitatif dan Kuantitatif. Prosiding SNAPP: Sosial …, 3(2), 41–46.
Anjarwati, S., Zaena, R. R., Fitrianingsih, D., & Sulistiana, I. (2023). Pengaruh Digitalisasi Akuntansi terhadap Efisiensi dan Pengurangan Biaya pada Perusahaan Wirausaha UMKM di Kota Bandung. Jurnal Aktiva : Riset Akuntansi Dan Keuangan, 5(1), 43–58. https://doi.org/10.52005/aktiva.v5i1.181
Dharma, A. & N. H. (2022). Urgensi Penggunaan Big Data. Akuisisi: Jurnal Akuntansi, 18(02), 107–120. https://doi.org/10.24127/akuisisi.v18i2.852
El- Dalahmeh, S. M. (2021). Impact of Big Data Analysis on Accounting Profession Field – Study in Jordanian Business Environment. International Journal of Accounting and Financial Reporting, 11(1). https://doi.org/10.5296/ijafr.v11i1.18403
Fadli, J. A. (2023). Workshop Analisis Statistik Untuk Peningkatan. Communnity Development Journal, 4(6), 11798–11801.
Indirman, V., Valdiansyah, R. H., & Rahayu, S. (2024). Akuntansi Manajemen Strategis Dalam Perspektif Revolusi Industri 5.0. Revenue:Jurnal Akuntansi, 5(1), 848–858. https://doi.org/10.46306/rev.v5i1.497
Indriani, I. K. (2022). The effect of local government budget capacity on COVID-19 cases handling. Jurnal Ilmu Pemerintahan Widya Praja, 48(1), 37–54. https://doi.org/10.33701/jipwp.v48i1.2292
Indriani, I. K. (2023). Financial Condition of Local Government Aftermath Of Covid 19 Pandemic-Archival. Jurnal Aplikasi Akuntansi, 7(2), 218–235. https://doi.org/https://doi.org/10.29303/jaa.v7i2.200
Jin, D. H., & Kim, H. J. (2018). Integrated understanding of big data, big data analysis, and business intelligence: A case study of logistics. Sustainability (Switzerland), 10(10). https://doi.org/10.3390/su10103778
Kasmir. (2015). Analisis Laporan Keuangan. Rajawali Pers.
Kurnia Indriani, I. (2021). Analisis Kondisi Keuangan Pemerintah Kota Di Indonesia (Proyeksi Dalam Menghadapi Covid 19). ISAS, 9(1), 371–389.
Kusumawardani, A., Irwansyah, I., Setiawati, L., Ginting, Y. L., & Khairin, F. N. (2018). Urgensi Penerapan Pendidikan Akuntansi Berbasis Akuntansi Sosial Dan Lingkungan. EKUITAS (Jurnal Ekonomi Dan Keuangan), 2(1), 65–82. https://doi.org/10.24034/j25485024.y2018.v2.i1.3484
Mahmudi. (2019). Analisis Laporan Keuangan Pemerintah Daerah.
Rahayu, S., Syafe’i, D., & Dahlia, D. (2023). Peningkatan Kemampuan Riset Mahasiswa Program Studi Manajemen Universitas Baturaja Melalui Pelatihan Olah Data Statistik Dengan Spss. Jurnal Terapan Abdimas, 8(2), 179. https://doi.org/10.25273/jta.v8i2.14681
Ritonga, I. T. (2014). Analisis Laporan Keuangan Pemerintah Daerah. Yogyakarta: Pustaka Pelajar.
Ritonga, I. T. (2015). Developing a Measure of Local Government’S Financial Condition. Journal of Indonesian Economy and Business, 29(2), 142–164. https://doi.org/10.22146/jieb.6206
Rosmala, C. (2024). Inovasi Akuntansi Dalam Era Digital : Strategi Peningkatan Efisiensi Laporan Keuangan. Proceedings of Islamic Economics, Business, and Philanthropy, 3(1), 1–10.
Suhaila, R., & Ramadhana, S. (2024). Pelatihan Analisis Data Menggunakan Excel , Google Sheets , dan SPSS : untuk Meningkatkan Keterampilan Statistika Mahasiswa Calon Guru di FKIP Universitas Malikussaleh. Jurnal Solusi Masyarakat Dikara, 4(3), 128–133.
Sujarweni, V. W. (2017). Analisis Laporan Keuangan aplikasi dan hasil penelitian. In Pustaka Baru Press.
Syaleh, H. (2020). Pelatihan Program Statistic Product and Service Solution (SPSS) bagi Mahasiswa dan Dosen Sekolah Tinggi Ilmu Ekonomi H. Agus Salim Bukittinggi. Community Engagement and Emergence Journal (CEEJ), 1(1), 14–21. https://doi.org/10.37385/ceej.v1i1.42
Varma, A., Piedepalumbo, P., & Mancini, D. (2021). Big data and accounting: A bibliometric study. International Journal of Digital Accounting Research, 21. https://doi.org/10.4192/1577-8517-v21_8
Wardhani, I. S. (2023). Optimalisasi Skills Literasi Pengolahan Data Statistik secara Elektronik Melalui Pelatihan Excel dan SPSS pada Mahasiswa Prodi PGSD Universitas Trunojoyo. Inovasi Jurnal Pengabdian Masyarakat, 1(3), 289–294. https://doi.org/10.54082/ijpm.215

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Copyright (c) 2025 Ika Kurnia Indriani, Henri Prasetyo, Anik Cahyowati, Agus Widodo, Yohanes Adi Nugroho, Perdhiansyah Perdhiansyah, Murti Puspita Rukmi, Uray M. Nur, Soraya Soraya, Mahyus Mahyus

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