Abstract
Kerinci Regency which was established on November 10, 1957 from the results of the division of 3 provinces, namely West Sumatra Province, Riau Province, Jambi Province. The district which is nicknamed the City of Sakti Alam Kerinci has a population of 253,258 people with an area of 3,808 km and consists of 16 sub-districts. So that training, technology, and improving Maunisa Resources are needed in various aspects of Kerinci society. Determine the level of accuracy of the Monte Carlo method simulation between the simulation results and the real data. In this study, the main data used were data for 2017, 2018 and 2019. The variable used in this study was the frequency of student scores in participating in learning. The value data will be processed using the Monte Carlo method assisted by Microsoft Excel for manual search. Student grade data for 2017 is used as trial data to predict in 2018, data for 2018 is used as trial data to predict the number of 2019, and data for 2019 will be used to predict the number in 2020 later. Where the highest prediction result is 96% where there are several competencies that have the same value. So that the average resulting from the predicted accuracy is 95% of the 7 competencies. The test results have clearly formed the boundaries. With an accuracy rate of 95%, it can be recommended to help the UPTD Kerinci District Work Training Center in predicting the level of understanding of students.
Highlights
Kerinci Regency which was established on November 10, 1957 from the results of the division of 3 provinces, namely West Sumatra Province, Riau Province, Jambi Province
So that the average resulting from the predicted accuracy is 95% of the 7 competencies
With an accuracy rate of 95%, it can be recommended to help the UPTD Kerinci District Work Training Center in predicting the level of understanding of students
Summary
Sejalan dengan perkembangan teknologi informasi telah mengambil peranan penting sebagai penunjang kehidupan. Maka metode ini layak digunakan untuk di UPTD BLK Kerinci yang masing-masing memiliki penelitian penjadwalan proyek dengan penerapan jumlah siswa 16 orang, Sehingga tingkat pemahaman simulasi Monte Carlo [6]. Objek penelitian yang dilakukan ini menggunakan data yang bersumber dari nilai siswa pelatihan 2016 sampai dengan 2019 pada Balai Latihan Kerja Kabupaten hasil melalui penerapan simulasi Monte Carlo Kerinci. Hasil dan Pembahasan dibuat asumsi-asumsi, dimana asumsi-asumsi tersebut Data yang digunakan dalam penelitian ini adalah data biasanya berbentuk hubungan logika yang akan nilai siswa pelatihan pada tahun 2016 sampai dengan membentuk model, hubungan logika tersebut tahun 2019 yang diperoleh dari UPTD Balai Latihan digunakan untuk mendapatkan pemahaman bagaimana perilaku hubungan dari sitem tersebut. Penelitian ini menggunakan teknik analisa dengan metode Monte Carlo untuk memprediksi tingkat pemahaman siswa berdasarkan nilai siswa pelatihan tahun 2017, tahun 2018, dan tahun 2019.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
