Pada penelitian ini, sebuah chatbot untuk penerimaan mahasiswa baru dikembangkan dengan memanfaatkan algoritma Naïve Bayes. Sumber data yang digunakan adalah dialog antara staf penerimaan dan calon mahasiswa, yang didasarkan pada informasi dari brosur penerimaan mahasiswa baru Institut Widya Pratama (d.h. STMIK Widya Pratama) tahun akademik 2024-2025. Data tersebut disusun dalam format JSON, mencakup tiga elemen: struktur pertanyaan, klasifikasi, dan jawaban. Langkah-langkah pra-pemrosesan data meliputi penormalan teks, pengkodean label, vektorisasi, dan word embedding. Algoritma Naïve Bayes dipilih untuk melatih model karena kemampuannya dalam memprediksi respons dari data diskrit. Hasil pengujian menunjukkan bahwa algoritma ini mencapai tingkat akurasi 88%, melampaui kinerja algoritma K-Neighbors-Classifier. Model yang dihasilkan diimplementasikan dalam aplikasi chatbot berbasis desktop yang dijalankan melalui command prompt, menggunakan bahasa pemrograman Python dan beberapa pustaka seperti pickle, string, dan numpy. Aplikasi ini mampu memberikan jawaban atas pertanyaan pengguna dengan mengakses model yang tersimpan dalam file *.pkl. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes efektif dalam memprediksi pertanyaan pengguna, dengan akurasi yang memadai untuk aplikasi chatbot penerimaan mahasiswa baru

Monitoring applications for filariasis treatment have been developed to overcome the problem of elephantiasis or filariasis, one of which is the lack of monitoring during the distribution of elephantiasis medicines. One of the stages of application development is testing. Testing is conducted to ensure the application is ready to be implemented. In this study, closed beta testing was conducted to determine the feasibility of the application. The results of the validity test and reliability test showed that the results obtained were that all items on the questionnaire were declared valid and reliable. While the results of the feasibility test on the questionnaire results stated that the application was very feasible to be implemented.

Monitoring applications for filariasis treatment have been developed to overcome the problem of elephantiasis or filariasis, one of which is the lack of monitoring during the distribution of elephantiasis medicines. One of the stages of application development is testing. Testing is conducted to ensure the application is ready to be implemented. In this study, closed beta testing was conducted to determine the feasibility of the application. The results of the validity test and reliability test showed that the results obtained were that all items on the questionnaire were declared valid and reliable. While the results of the feasibility test on the questionnaire results stated that the application was very feasible to be implemented.