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All Journal Journal of Information Systems and Business Technology
Nurul Fitriyah
Universitas Pamulang
Computer Science & IT Library & Information Science

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Analisis dan Perancangan Sistem Informasi Manajemen Berbasis Web Menggunakan Metoded Prototype dan Standar ISO/IEC 25010 (Studi Kasus: PT Teknologi Informatika Solusindo) Nurul Fitriyah; Krisna Arya Vashesa; 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

Untuk meningkatkan efisiensi administrasi data acara, prosedur pendaftaran peserta, dan pembuatan laporan kegiatan, penelitian ini bermaksud untuk merancang dan membuat Sistem Informasi Administrasi Acara berbasis web di PT Teknologi Informatika Solusindo. Teknik prototype digunakan untuk mengembangkan aplikasi karena memungkinkan kontak langsung antara pengguna dan pengembang selama fase perancangan, memungkinkan penyesuaian bertahap terhadap kebutuhan sistem. Analisis kebutuhan, desain prototype, penilaian pengguna, dan penerapan sistem berbasis web merupakan semua tahapan dari proses penelitian. Standar ISO/IEC 25010, yang membahas kesesuaian fungsional, keandalan, efisiensi kinerja, kegunaan, keamanan, kompatibilitas, keterpeliharaan, dan portabilitas, menjadi dasar untuk pengujian kualitas perangkat lunak. Temuan studi menunjukkan bahwa aplikasi yang dibuat dapat mendukung manajemen acara dengan cara yang lebih komprehensif, berhasil, dan efisien. Sistem ini mendapatkan skor keseluruhan sebesar 78% dalam kategori baik berdasarkan temuan pengujian ISO/IEC 25010, menunjukkan bahwa sistem ini layak digunakan sebagai dukungan bagi manajemen operasional acara di organisasi. Oleh karena itu, diharapkan sistem yang dibangun akan meningkatkan pemrosesan informasi dan kualitas layanan secara lebih metodis.
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 Chairul Anwar Krisna Arya Vashesa Mufidah Karimah Muhammad Irfan Fauzi