Risa Puspa Rini, . (2025) ANALISIS PREDIKSI PAKET IBADAH UMRAH MENGGUNAKAN ALGORITMA RANDOM FOREST DI PT. STARINDO MITRADASA CIPTA (BABUL KA’BAH). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
PT Starindo Mitradasa Cipta (Babul Ka’bah) is a company that provides Umrah travel services and faces challenges in analyzing prospective pilgrims' preferences regarding Umrah package selection. This study aims to develop a prediction model using the Random Forest algorithm and evaluate the impact of the SMOTE method in handling data imbalance. The data used consists of historical booking records from December 2022 to April 2025. The results show that the model’s accuracy increased from 73.69% to 93.25% after applying SMOTE. The model successfully classifies six types of Umrah packages based on features such as departure month, departure date, payment method, age, gender, and geographic region. The model is implemented within a an interactive dashboard using Streamlit, allowing users to input data and receive package recommendations directly. In addition to prediction features, historical booking visualizations are also provided, illustrating trends based on time, age groups, and gender. The findings of this research are expected to help the company improve service planning and marketing strategies more effectively.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110512159] [Pembimbing 1: Ruth Mariana Bunga Wadu] [Pembimbing 2: Bambang Triwahyono] [Penguji 1: Zatin Niqotaini] [Penguji 2: M. Bayu Wibisono] |
| Uncontrolled Keywords: | Umrah, Random Forest, SMOTE, Prediction, Interactive Dashboard |
| Subjects: | H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | RISA PUSPA RINI |
| Date Deposited: | 07 Aug 2025 01:07 |
| Last Modified: | 07 Aug 2025 01:07 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37440 |
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