Daffy Fayyadhya Ramzy, . (2024) ANALISIS HASIL LABORATORIUM PENGIDAP PENYAKIT DIABETES DENGAN ALGORITMA KLASIFIKASI PADA PUSKESMAS KECAMATAN CIRACAS JAKARTA TIMUR. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Diabetes is a chronic disease in the form of metabolic disorders that are indicated by the increase of glucose in a patient’s blood to an abnormal level. The amount of diabetes patients continues to increase all around the world. The diagnoses of diabetes on a patient can be predicted with the Random Forest classification algorithm. After training and testing data with the Random Forest classification model with different split ratios, the model with the highest accuracy is the model that uses the split ratio of 70:30 with 72,89% accuracy. The time taken to learn and test with this model is also relatively short with 21,23 seconds of training time and 0,76 seconds of testing time. The result may not be as accurate as possible due to the fact that the amount of data with the label 0 (undiagnosed) is far higher than the amount of data with the label 1 (diagnosed).
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511044] [Pembimbing: Bayu Hananto] [Penguji 1: Iin Ernawati] [Penguji 2: Musthofa Galih Pradana] |
| Uncontrolled Keywords: | Diabetes, Data Mining, Klasifikasi |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Daffy Fayyadhya Ramzy |
| Date Deposited: | 22 Feb 2024 01:44 |
| Last Modified: | 22 Feb 2024 01:44 |
| URI: | http://repository.upnvj.ac.id/id/eprint/29203 |
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