HAMONANGAN, BRANDO KRISTOFER (2023) PERBANDINGAN METODE KLASIFIKASI RANDOM FOREST DAN SVM PADA JENIS VAKSIN BOOSTER. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
This research aims to compare the effectiveness of two classification methods, Random Forest and SVM (Support Vector Machine), in classifying booster vaccine types in Kalideres District. A booster vaccine is an additional vaccine given after the initial vaccine doses to enhance the immune response against specific diseases. The Random Forest and SVM methods are used to predict the most suitable booster vaccine type based on patient characteristics such as age, gender, and other factors. The data used in this study were obtained from centers in Kalideres District. This study contributes significantly to the selection of the appropriate classification method for classifying booster vaccine types in Kalideres District. By utilizing accurate classification methods, it is expected to improve the effectiveness of vaccination programs and provide optimal benefits to the community in Kalideres District. Keywords: booster vaccine, Random Forest, SVM, Kalideres District, classification methods. Penelitian ini bertujuan untuk membandingkan efektivitas dua metode klasifikasi, yaitu Random Forest dan SVM (Support Vector Machine), dalam mengklasifikasikan jenis vaksin booster di kecamatan Kalideres. Vaksin booster merupakan vaksin yang diberikan sebagai tambahan setelah dosis vaksin awal guna meningkatkan kekebalan tubuh terhadap penyakit tertentu. Metode Random Forest dan SVM digunakan untuk memprediksi jenis vaksin booster yang paling sesuai berdasarkan karakteristik pasien seperti usia, jenis kelamin, dan faktor lainnya. Data yang digunakan dalam penelitian ini diperoleh dari puskesmas di kecamatan Kalideres. Penelitian ini memberikan kontribusi penting dalam pemilihan metode klasifikasi yang tepat untuk mengklasifikasikan jenis vaksin booster di kecamatan Kalideres. Dengan memanfaatkan metode klasifikasi yang akurat, diharapkan dapat meningkatkan efektivitas program vaksinasi dan memberikan manfaat yang optimal bagi masyarakat di kecamatan Kalideres. Kata kunci: vaksin booster, Random Forest, SVM, kecamatan Kalideres, metode klasifikasi
| Item Type: | Thesis (S1) |
|---|---|
| Call Number CD: | FIK/INFO. 23 125 |
| Call Number: | SIK/15/23/067 |
| NIM/NIDN Creators: | 41519010196 |
| Uncontrolled Keywords: | vaksin booster, Random Forest, SVM, kecamatan Kalideres, metode klasifikasi |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | Sekar Mutiara |
| Date Deposited: | 06 Oct 2023 03:05 |
| Last Modified: | 06 Oct 2023 03:05 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/81208 |
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