Sistem Pendukung Keputusan Guna Menentukan Perpanjangan Masa Kerja Asesor LAM Kependidikan Menggunakan Metode Naive Bayes Berbasis Progressive Web App

Decision Support System to Determine Extension of Service Period of Assessor LAM Kependidikan Using Progressive Web App-Based Naive Bayes Method

Sistem pendukung keputusan dalam memutuskan kelompok rekomendasi asesor yang bertugas di LAM Kependidikan. Terdapat 3 kelompok rekomendasi dalam penelitian ini, yaitu dapat diperpanjang, mengikuti pelatihan, dan tidak diperpanjang. Hasil kelompok rekomendasi dapat diperoleh berdasarkan kriteria yang telah ditentukan yaitu penilaian program studi, waktu pengerjaan serta lokasi asesor. Tahap awal yaitu proses akurasi pengujian model menggunakan K-Fold Validation dengan 10 Fold. Hasil pengujian model menghasilkan akurasi 88.4%. Penelitian menggunakan 501 data dengan 400 training dan 101 testing. Akurasi training yaitu 89.7% sedangkan akurasi testing menghasilkan 81.2%. Sistem dikembangkan menggunakan framework PHP (Laravel) dan MySQL sebagai databasenya serta dilengkapi dengan teknologi Progressive Web App.

The Decision support system in deciding on a group of assessor recommendations assigned to LAM Kependidikan. There are 3 groups of recommendations, which can be extended, followed by training, and not extended. The results of the recommendation groups can be obtained based on predetermined criteria, namely the assessment of the study program, processing time, and location of the assessors. The initial stage is the process of model testing accuracy using K-Fold Validation with 10 Folds. The results of testing the model produce an accuracy of 88.4%. The research uses 501 data with 400 training and 101 testing. Training accuracy is 89.7% while testing accuracy is 81.2%. The system was developed using the PHP framework (Laravel) and MySQL as the database and is equipped with Progressive Web App technology.