New Approach of Covid-19 Prevention by Implemented Combination of Decision Support System Algorithm
Peneliti
Dr. Yeffry Handoko Putra, S.T, M.T Prof. Dr. Ir. H. Eddy Soeryanto Soegoto, MT Assoc. Prof. Dr. Rahma Wahdiniwaty, Dra.,M.Si.
Deskripsi/Abstrak
Indonesia and Malaysia from 2020 to 2021 were exposed to COVID-19 pandemic. Both countries implemented a policy of restricting entry areas based on almost the same criteria, In Indonesia namely as PPKM which applying some level of exposure to those infected with covid-19. The determination of this level was all based on the growth in numbers exposed to covid-19, but on pandemic cases, the number of people who do not suffer from COVID-19 disease but have the same symptoms as the symptoms of COVID-19 also need to be considered as the pandemic agent to their environment. We named it as Precaution Covid-19 Pandemic (PCP) Level. The current level of the COVID-19 pandemic has not been fully determined by this idea. So, the idea of this research is to determine the pre-pandemic or precaution level of covid-19 in an area interfere by surrounding area. PCP level was not based on the growth of those infected with the covid-19 disease, but influenced by the number of patients whose have the symptoms similar to the dominant symptoms of the covid-19. The PCP Level determination can be used for precaution policy and support the previous Level Pandemic Methods. To accomplish this idea, three algorithms are used, they are K-Mean algorithm as a pattern clustering and the AHP algorithm as a level determination of the Covid-19 pandemic, While the relationship of candidate symptom pairs to Covid-19 transmission is carried out using the Naïve Bayes algorithm. The results of this study show that the combination of the three proposed algorithms provides and using data symptoms closely to dominant covid-19 symptoms can give an alternative for precaution level of covid-19 pandemic. The model for determining Covid-19 transmission based on four candidate symptoms has 89% precision and 85% accuracy.
Publikasi
Judul | Jenis | Media | Tahun |
---|---|---|---|
Penentuan Penularan Covid-19 Berdasarkan Gejala Kandidat Covid-19 Memanfaatkan Algoritma Naïve Bayes | Jurnal Nasional Terakreditasi | PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI Volume: 12 Nomor: 1 | 2022 |
Elevating PCP Level Implementation: A Strategic Approach with Architecture Software in the Covid-19 Era | Prosiding Internasional | IEEE Xplore2023 International Conference on Informatics Engineering, Science & Technology (INCITEST) Volume: 6 Nomor: 1 | 2024 |
Modeling COVID-19 Prevention from Influenza Symptoms Using Kalman Filter Approach | Prosiding Internasional | 2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS) Volume: 9 Nomor: 1 | 2024 |
Modeling COVID-19 Prevention from Influenza Symptoms Using Kalman Filter Approach | Prosiding Internasional Terindeks Scopus | 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS) Volume: 9 Nomor: 1 | 2024 |
Elevating PCP Level Implementation: A Strategic Approach with Architecture Software in the Covid-19 Era | Prosiding Internasional Terindeks Scopus | 6th International Conference on Informatics Engineering, Science & Technology (INCITEST) Volume: 6 Nomor: 1 | 2024 |
Detail Penelitian
Program Studi | : | MAGISTER SISTEM INFORMASI - S2 |
---|---|---|
Tingkat | : | Internasional |
Jenis Litabmas | : | Penelitian Kerjasama |
Skim Litabmas | : | - |
Kategori Bidang Litabmas | : | Engineering and Technology |
Bidang Litabmas | : | Other Engineering and Tehcnology |
Kategori Tujuan Sosial Ekonomi | : | Social Development and Community Services |
Tujuan Sosial Ekonomi | : | Public Services |
Kelompok Bidang | : | Ilmu Komputer |
Tahun Usulan | : | 2022 |
Tahun Pelaksanaan | : | 2022 |
Tahun Pelaksanaan Ke- | : | 1 |
Tahun Kegiatan | : | 2022 |
Lama Kegiatan (dalam tahun) | : | 1 |
Lokasi Kegiatan | : | Bandung Barat |