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All Journal Jurnal Ilmu Komputer dan Bisnis Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Cahyaningrum, Avikatria
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science

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Perancangan Sistem Informasi Persediaan Obat Pada Website Apotek FULLSUN Utari, Rahmatami Novitiya; Cahyaningrum, Avikatria; Sania, Salma Zulfa; Wadu, Ruth M
Jurnal Ilmu Komputer dan Bisnis Vol. 12 No. 2 (2021): Vol. 12 No. 2 (2021): Vol. 12 No. 2 (2021)
Publisher : STMIK Dharmapala Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47927/jikb.v12i2.177

Abstract

Kebutuhan terhadap informasi yang akurat, lengkap dan relevan diperlukan oleh suatu badan usaha tak terkecuali bidang kesehatan yakni pada Apotek FULLSUN, tetapi pada sistem yang sedang berjalan hal tersebut belum didapatkan secara optimal. Pada sistem yang sedang berjalan pencatatan masih dilakukan pada nota-nota atau buku-buku transaksi, hal ini menyebabkan kesulitan bagi karyawan dalam pencarian data data transaksi dan pembuatan laporan-laporan. Permasalahan lain yang terjadi yaitu adanya kesulitan pembuatan laporan data stok obat, karena data obat yang semakin banyak. Dalam penelitian ini pengembangan sistem yang digunakan adalah model waterfall. Hasil akhir dari penelitian ini yakni berupa produk sistem informasi apotek. Dengan sistem informasi apotek yang dibuat diharapkan pencarian data, pembuatan laporan persediaan stok obat dapat dilakukan dengan lebih mudah dan waktu yang relatif lebih cepat.
Healthcare Data Analysis Through Business Intelligence: A Case Study With Power BI Cahyaningrum, Avikatria; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72051

Abstract

This research aims to analyze hospital health data with the application of Power BI-based Business Intelligence (BI) to support a more precise and efficient decision-making process. The research data is taken from a public repository that provides a hospital management system database structure with complex inter-table relationships. The initial stages were carried out with the ETL (Extract, Transform, Load) process to integrate and clean the data before being entered into the data warehouse with the star and galaxy schema model. Next, analysis was conducted using Online Analytical Processing (OLAP) for medical service usage and other trends. In addition, the application of data mining using the Random Forest algorithm is also carried out for the classification of hospital busyness levels and prediction of patient re-visits based on historical data.
Co-Authors I Kadek Dwi Nuryana, I Kadek Dwi Sania, Salma Zulfa Utari, Rahmatami Novitiya Wadu, Ruth M