Skripsi/Tugas Akhir
Perancangan E-Learning Menggunakan Algoritma Full-Text Search Berbasis Inverted Index di UPT SPF SMPN 34 Makassar
ABSTRAK
Penelitian ini bertujuan untuk merancang dan membangun sistem e-learning di UPT SPF SMPN 34 Makassar dengan menerapkan algoritma Full-Text Search berbasis Inverted Index guna mempermudah pencarian materi pembelajaran. Sistem ini dirancang agar siswa lebih mudah mengakses serta mencari materi berdasarkan kata kunci yang sesuai. Metode penelitian yang digunakan adalah desain dan perancangan. Algoritma Full-Text Search berbasis Inverted Index diterapkan untuk mengoptimalkan pencarian materi. Pengujian dilakukan menggunakan metode Black-Box Testing guna memastikan setiap fitur berfungsi sesuai spesifikasi yang ditetapkan. Hasil pengujian menunjukkan bahwa seluruh fitur, termasuk login pengguna, manajemen data, unggah dan unduh materi, serta pencarian berbasis Full-Text Search, berfungsi sesuai dengan yang ditetapkan. Namun, ditemukan bahwa unggahan file berukuran besar, seperti PDF dan video, memerlukan waktu yang lebih lama. Rekomendasi untuk pengembangan lebih lanjut mencakup optimasi unggah file serta penambahan fitur seperti ujian daring dan analisis performa siswa serta mendukung format file selain PDF.
Kata Kunci: E-Learning, Full-Text Search, Inverted Index, Pencarian, Perancangan
ABSTRACT
This study aims to design and develop an e-learning system at UPT SPF SMPN 34 Makassar by implementing a Full-Text Search algorithm based on an Inverted Index to facilitate learning material retrieval. The system is designed to help students easily access and search for materials using relevant keywords. The research methodology follows a design and development approach. The Full-Text Search algorithm with an Inverted Index is applied to optimize material searches. Testing is conducted using the Black-Box Testing method to ensure that each feature functions according to the specified requirements. The test results show that all features, including user login, data management, material upload and download, and Full-Text Search-based retrieval, work as expected. However, it was found that uploading large files, such as PDFs and videos, takes longer. Recommendations for future development include optimizing the file upload process, adding features such as online assessments and student performance analysis, and supporting file formats other than PDF.
Keywords: E-Learning, Full-Text Search, Inverted Index, Retrieval, Design
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