2 research outputs found
Menggunakan Metode Machine Learning Untuk Memprediksi Nilai Mahasiswa Dengan Model Prediksi Multiclass
No full textThis study aims to predict students' final GPA and study duration using machine learning methods. The model applied in this study is the Random Forest Regressor, which was trained using a dataset that includes various factors such as semester GPA, socio-economic background, demographics, learning activities, and the difficulty level of courses. The results of the study show that the model produces less accurate predictions, with a Mean Squared Error (MSE) of 0.34 for the final GPA and 3.83 for the study duration. Furthermore, the R² Score for the predictions of final GPA and study duration are -0.079 and -0.055, respectively, indicating that the model's prediction performance is not optimal. In the multiclass classification section, the model is able to classify students into several categories based on their final GPA, such as Cum Laude, Very Satisfactory, Satisfactory, and Fair. From the testing results, the model predicts a final GPA of 2.92 for a new student example, which is classified into the "Satisfactory" category, with a predicted study duration of 8 semesters. The conclusion of this study indicates that the regression model used requires improvement to achieve better accuracy. Other factors, such as feature optimization or the use of alternative algorithms, can be explored in future research to enhance the prediction results
Implementasi Algoritma Boyer-Moore Pada Chatbot Wisata Yogyakarta
No full textAs the development of technology and increasing newcomers to the city of Yogyakarta, so that the need for information about tourism related in Yogyakarta is also higher. Yogyakarta tourism growth is increasing very rapidly every year as many local and foreign tourists visit the city known as the student town. Therefore, the author intends to build a chatbot that serves as a Virtual Assistant for Yogyakarta tourists. This chatbot is able to provide information to travellers through data stored on the system. The implementation and design of the software resulted in a chatbot built using the Boyer-Moore algorithm. The Boyer-Moore algorithm works by comparing patterns ranging from right to left, so this algorithm becomes an efficient search solution. If there is a pattern string mismatch then the pattern will move towards the left, this gesture will give information how many shifts to match the character that corresponds to the initial pattern. The Boyer-Moore algorithm has an edge over time finding patterns in larger file sizes. From the test results verification, validity submission, and prototype testing conducted on the chatbot system can run well according to the planning.
Keywords : chatbot, boyer-moore, touris, tourSeiring perkembangan teknologi dan semakin bertambahnya pendatang baru ke kota Yogyakarta, sehingga kebutuhan informasi tentang info terkait wisata yang ada di Yogyakarta juga semakin tinggi. Pertumbuhan pariwisata Yogyakarta meningkat sangat pesat setiap tahunnya seiring banyaknya wisatawan lokal maupun turis mancanegara yang berkunjung ke kota yang dikenal dengan kota pelajar ini. Oleh karena itu, penulis bermaksud untuk membangun sebuah chatbot yang berfungsi sebagai Virtual Assistant bagi wisatawan Yogyakarta. Chatbot ini mampu memberi informasi kepada wisatawan melalui data yang tersimpan pada sistem. Pada implementasi dan perancangan perangkat lunak ini menghasilkan sebuah chatbot yang dibangun menggunakan algoritma boyer-moore. Algoritma boyer-moore bekerja dengan cara membandingkan pola mulai dari kanan ke kiri, sehingga algoritma ini menjadi solusi pencarian yang efisien. Jika terjadi ketidakcocokkan pola string maka pola akan bergerak ke arah kiri, gerakan ini akan memberikan informasi berapa banyak pergeseran untuk mencocokkan karakter yang sesuai dengan pola awal. Algoritma boyer-moore memiliki keunggulan dalam waktu menemukan pola dalam ukuran file yang lebih besar. Dari hasil pengujian verifikasi, pengajuan validitas, dan pengujian prototipe yang dilakukan pada sistem chatbot dapat berjalan dengan baik sesuai dengan perencanaan.
Kata kunci : chatbot, boyer-moore, turis, wisat
