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Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method Widyanto, R Arri; Avizenna, Meidar Hadi; Prabowo, Nugroho Agung; Alfata, Kemal; Ismanto, Agus
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.39

Abstract

In December 2019, SARS-CoV-2 caused the coronavirus disease (COVID-19) to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.
Pengaruh frekuensi ultrasonik terhadap mortalitas serangga perusak kayu Dinoderus minutus Fabricius (Coleoptera: Bostrichidae) Susanti, Etik; Wiranto, Aryo Seto Pandu; Ismanto, Agus; Soesilohadi, RC Hidayat
Jurnal Entomologi Indonesia Vol 19 No 1 (2022): Maret
Publisher : Perhimpunan Entomologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5994/jei.19.1.55

Abstract

Dinoderus minutus Fabricius (Coleoptera: Bostrichidae) is one of the main pests of wood and bamboo borer. Control of these insects is still dependent on the use of insecticides. This study is a preliminary test for the use of ultrasound frequency as a pest control agent. The research aims to study the effect of ultrasonic frequencies on D. minutus mortality. The method used exposure of ultrasonic frequency to imago D. minutus for 7 days and 14 days indoors with temperatures of 28 °C to 29 °C and humidity of 70% to 81%. Significant results for the ultrasonic frequency treatment which resulted in a D. minutus mortality of 80.00% with a duration of 14 days exposure. The results show that ultrasound frequency with the exact durations can be used as a form of D. minutus control.
BIOACTIVITY ANALYSIS of Annona glabra L. SEED EXTRACTS FOR WOOD PROTECTION AGAINST Termites (Cryptotermes cynocephalus Light. AND Coptotermes curvignathus Holmgren.) Priadi, Trisna; Chotimah, Nurul; Ismanto, Agus
Indonesian Journal of Forestry Research Vol. 8 No. 2 (2021): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2021.8.2.127-134

Abstract

Pond apple (Annona glabra L.) belongs to the family of Annonaceae. The seed of A. glabra contains bioactive substance that is toxic to some organisms, however the effectiveness to control wood degrading termites has not yet been scientifically reported. This research analyzes the efficacy of A. glabra seed extract to wood degrading termites. Seed extraction was conducted using n-hexane and ethyl acetate. The paper disc test showed that the extract of A. glabra is toxic to Cryptotermes cynocephalus (dry-wood termites) and Coptotermes curvignathus (subterranean termites). The higher extract concentration (up to 63%) resulted in a higher termite mortality (up to 100%) and lower weight loss of paper sample (less than 1%). Ethyl acetate extract of A. glabra seeds has a better toxicity effect than n-hexane extract against dry wood termites and subterranean termites.