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All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Dafa Ramadhan, Aditya
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Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Perancangan Sistem Informasi Pembayaran SPP Berbasis Web Di SMP Islam Parung Dengan Metode Waterfall Dafa Ramadhan, Aditya; Abiyyu Ghanim, Namero; Dzulkifli Hidayah, Muh.; Saprudin
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 2 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

This research aims to design a web-based information system for managing tuition fee payments (SPP - Sumbangan Pembinaan Pendidikan) at SMP Islam Parung. The system is developed using the Waterfall method, consisting of requirement analysis, system design, implementation, testing, and maintenance phases. Requirement analysis is conducted by collecting data through observation, interviews, and literature studies. System design includes database design, user interface design, and business process flow design. Implementation is carried out using PHP programming language and MySQL database. System testing is performed using black-box testing  to ensure functionality and conformance with user requirements. The result of this research is a web-based tuition fee payment information system that can facilitate the payment process, recording, and reporting efficiently and in a computerized manner. This system is expected to improve performance and transparency in the management of tuition fee payments at SMP Islam Parung.
Implementasi Sistem Penunjang Keputusan Untuk Destinasi Wisata Di Bogor Menggunakan Metode Collaborative Filtering dafa ramadhan, Aditya; Muhajir, Abdullah
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

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Abstract

Bogor has many tourist destination options with diverse characteristics that often make tourists difficult to determine destinations according to their preferences. Therefore, a system is needed to assist tourists in making decisions effectively. This research implements a web-based Decision Support System to provide recommendations for tourist destinations in Bogor using the User-Based Collaborative Filtering method with cosine similarity. The system is developed using Python and Flask framework, analyzing similarity patterns of ratings between users to generate personal recommendations. The collaborative filtering method works by identifying users who have similar preferences, then recommending tourist destinations that are favored by users with similar preference characteristics. System performance evaluation using RMSE and MAE metrics shows a good level of prediction accuracy. This system helps tourists obtain more personalized and efficient recommendations, and can be utilized by tourism managers as a data-driven promotional tool. The implementation of this system is expected to improve tourist experience in choosing destinations and support the development of the tourism sector in Bogor
Co-Authors Abiyyu Ghanim, Namero Dzulkifli Hidayah, Muh. Muhajir, Abdullah Saprudin