Abstract
Vocational High School (SMK) Negeri 4 Kota Jambi is one of the favorite vocational schools in Jambi City which is also the only pure tourism vocational school in Jambi Province. SMK Negeri 4 Kota Jambi has several vocational majors, namely culinary, beauty, fashion and hospitality. In general, students who choose to attend vocational schools have the hope of being able to work immediately after graduating from school, they do not need to continue to study to be able to work. In this study, researchers will predict the level of acceptance of students from SMK Negeri 4 Kota Jambi in the business and industrial world using the Monte Carlo method. Monte Carlo is a method that can find values that are close to the actual value of events that will occur based on the distribution of sampling data. The technique of this method is to select random numbers from the probability distribution to perform the simulation. The data used in this study is the data of students from SMK Negeri 4 Kota Jambi who worked from the 2015/2016 Academic Year to the 2018/2019 Academic Year. Furthermore, the data will be processed using the Monte Carlo method. The simulation will be implemented using PHP programming. The result of this research is the level of prediction accuracy of students of SMK Negeri 4 Kota Jambi who are accepted in the business and industrial world using the Monte Carlo method is 84%.
Highlights
Vocational High School (SMK) Negeri 4 Kota Jambi is one of the favorite vocational schools in Jambi City which is the only pure tourism vocational school in Jambi Province
researchers will predict the level of acceptance of students
find values that are close to the actual value of events
Summary
Gambar 1 menggambarkan alur tahapan-tahapan Pelajaran 2015/2016 sebanyak 42 siswa, Tahun analisa metode Monte Carlo. Terdapat 8 (delapan) Pelajaran 2016/2017 sebanyak siswa, Tahun tahapan dalam menerapkan metode Monte Carlo pada Pelajaran 2017/2018 sebanyak siswa dan Tahun penelitian ini dengan penjelasan sebagai berikut: Pelajaran 2018/2019 sebanyak 68 siswa. 2. Mengelompokkan data dan menetapkan frekuensi adalah menetapkan distribusi probabilitas untuk penerimaan lulusan siswa SMK Negeri 4 Kota variabel-variabel penting pada model yang sedang. 3. Menghitung distribusi probabilitas dari data variabel-variabel penting tersebut akan terjadi, yaitu frekuensi penerimaan dengan rumus yang telah dengan membagi jumlah frekuensi masing-masing ditetapkan. 4. Menghitung distribusi kumulatif dari data frekuensi Rumusnya yaitu: penerimaan dengan rumus yang telah ditetapkan. 6. Membangkitkan bilangan acak (Generating Dimana : Random Number) yaitu dengan menghitung angka acak dengan rumus yang telah ditetapkan. 7. Mengevaluasi prediksi Monte Carlo dengan cara mensimulasikan data hasil prediksi dan data asli f dari Tahun Pelajaran 2016/2017 sampai 2018/2019.
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