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All Journal Journal of Information Systems and Business Technology
Muhammad Irfan Fauzi
Universitas Pamulang
Computer Science & IT Library & Information Science

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Analisis dan Perancangan Sistem Informasi Apotek Berbasis Website Menggunakan Metode Prototype Dan Standar ISO/IEC 25010 (Studi Kasus: PT Teknologi Informatika Solusindo) Andika Febrian Nurhidayat; Muhammad Irfan Fauzi; Chairul Anwar
Journal of Information Systems and Business Technology Vol 2 No 2 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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Abstract

Transformasi digital mendorong berbagai sektor usaha untuk meningkatkan efektivitas operasional, termasuk bidang kesehatan. PT Teknologi Informatika Solusindo masih menghadapi kendala pada proses pengelolaan apotek karena sebagian aktivitas dilakukan secara manual sehingga menyebabkan keterlambatan pengolahan data, kesalahan pencatatan, serta rendahnya efisiensi pelayanan. Untuk mengatasi kondisi tersebut, dikembangkan sistem informasi apotek berbasis website dengan pendekatan Prototype serta evaluasi kualitas menggunakan standar ISO/IEC 25010. Metode Prototype diterapkan agar proses pengembangan dapat berlangsung lebih cepat dan sesuai dengan kebutuhan pengguna melalui tahapan pengumpulan kebutuhan, perancangan awal, pembangunan prototipe, hingga evaluasi berulang. Pengujian kualitas sistem dilakukan dengan mengacu pada aspek Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, dan Portability. Implementasi sistem menghasilkan fitur pengelolaan data obat, transaksi penjualan, pembelian, laporan, dan manajemen pengguna. Evaluasi menggunakan ISO/IEC 25010 memperlihatkan bahwa sistem memperoleh hasil baik pada seluruh karakteristik yang diuji sehingga mampu mendukung pengelolaan apotek secara lebih efektif, efisien, dan akurat.
Prediksi Customer Churn Menggunakan Decision Tree dan Random Forest dengan Pendekatan SMOTE untuk Mendukung Customer Intelligence pada Industri Telekomunikasi Muhammad Irfan Fauzi; Nurul Fitriyah; Mufidah Karimah
Journal of Information Systems and Business Technology Vol 2 No 3 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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Abstract

Customer churn represents a critical issue in the telecommunications sector due to its impact on customer retention levels and long-term business continuity. Consequently, companies require reliable methods to recognize customers who are likely to terminate their subscriptions. This study focuses on predicting customer churn by applying Decision Tree and Random Forest algorithms to the Telco Customer Churn dataset. The research methodology adopts the CRISP-DM framework, which encompasses data preparation, feature engineering, class balancing through the Synthetic Minority Over-sampling Technique (SMOTE), model construction, and performance evaluation. Four classification approaches were examined, including Decision Tree Gini, Decision Tree Entropy, Decision Tree Pre-Pruning, and Random Forest. Hyperparameter tuning was performed using GridSearchCV, whereas model effectiveness was assessed through Accuracy, Precision, Recall, F1-Score, and ROC-AUC metrics. The experimental results reveal that the Random Forest model produced the highest performance, achieving an accuracy of 84.88% and a ROC-AUC value of 92.94%. Furthermore, the feature importance analysis identified Contract, MonthlyCharges, and tenure as the variables with the strongest contribution to churn prediction. These findings indicate that the proposed approach can enhance Customer Intelligence by generating valuable insights into customer behavior and assisting organizations in developing more effective customer retention initiatives
Co-Authors Andika Febrian Nurhidayat Chairul Anwar Mufidah Karimah Nurul Fitriyah