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Hendry, H
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Computer Science & IT

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Analisis Perbandingan Algoritma Supervised Learning untuk Prediksi Kasus Covid-19 di Jakarta Septhiani, Angeline; Hendry, H
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.668

Abstract

Coronavirus disease or called COVID-19 is a pandemic according to World Health Organization (WHO) in February. The virus gives several symptoms, such as cough, asthma, and fever. The data and information are the important part of making a good decision. Those data need to be processed and analyzed to be useful information. In this research, the data will be used to predict the COVID-19 issue in Jakarta, using several supervised learning algorithm models, such as K-Nearest Neighbors, Neural Network, Linear Regression, Support Vector Machine, and Random Forest. Using 10 Fold Cross Validation in model testing and T-Test to get the model with the best accuracy. According to this research, the algorithm that has the best accuracy is K-Nearest Neighbors with the lowest RMSE, 1096.188 +/- 365.077 (micro average: 1149.601 +/- 0.000).
Perbandingan Metode SAW, MAUT, ORESTE, TOPSIS dalam Pendukung Keputusan Pembangunan Supermarket di Kabupaten Pati Dewasasmita, Elsha Yuandini; Hendry, H
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.666

Abstract

This study aims to find out the best sub-districts in Pati Regency which are located outside Pati District as a place for Supermarket construction based on the specified criteria and a comparison of the four methods to be used. The tool used to support this research process is Microsoft Excel. This study uses the SAW, MAUT, ORESTE, and TOPSIS methods in the research model to compare the final results. The final results obtained are that the SAW and TOPSIS methods have the first three orders, namely A10, A15, and A3, the MAUT method has the same first three orders, namely A10, A3, and A15, while the ORESTE method has the first three orders, namely A21, A10, and A3. By looking at the opportunities for emergence, the final results show A10, namely Kayen District as the best sub-district in supporting supermarket development decisions in Pati Regency.
Co-Authors Dewasasmita, Elsha Yuandini Septhiani, Angeline