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All Journal Jurnal Teknik Komputer AMIK BSI Jurnal Teknik Informatika STMIK Antar Bangsa Jurnal Infortech Akrab Juara : Jurnal Ilmu-ilmu Sosial STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE Computer Science (CO-SCIENCE) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Inspiration: Jurnal Teknologi Informasi dan Komunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Jurnal ilmiah teknologi informasi Asia
Eka Kusuma Pratama
Univerisitas Bina Sarana Informatika
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Health Professions Library & Information Science Medicine & Pharmacology Public Health

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Journal : Computer Science (CO-SCIENCE)

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Optimization Of Video Conference With Priority Features On The Mikrotik Router Eka Kusuma Pratama; Firmansyah Firmansyah; Tommi Alfian Armawan Sandi; Rachmawati Darma Astuti
Computer Science (CO-SCIENCE) Vol. 2 No. 2 (2022): Juli 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v2i2.1212

Abstract

The emergence of new standards that must be met by all actors. Easy access to video conferencing has many positive aspects which have finally become a necessity nowadays. Each app provides easy access to increasingly sophisticated and engaging communications, making them a part of today's life. Some features that allow more than 100 participants to participate in the same video conference can have a huge impact on today's education and business world. Basic education that takes place offline only and is compiled in one place, can now be completed anytime, anywhere via a laptop or mobile phone. This is a video conference using the zoom app. Activity-intensively configured network settings are expected to maximize video conferencing when used by multiple participants. Use of mikrotik traffic priority with network packet limitations that make certain networks more prioritized first. The use of the mikrotik priority feature is expected to be able to overcome the lack of stability in video conferencing display and can be the most effective solution. Users everywhere can apply directly to their network and become an effective solution when using video conferencing applications.
Komparasi Algoritma Machine Learning untuk Klasifikasi Gejala Coronavirus Disease 19 (Covid-19) Musriatun Napiah; Rachmawati Darma Astuti; Eka Kusuma Pratama
Computer Science (CO-SCIENCE) Vol. 3 No. 2 (2023): Juli 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i2.1984

Abstract

COVID-19 or Corona Virus Disease 19 is a member of the extended family of coronaviruses that cause a spectrum of illnesses from mild to severe, including MERS and SARS. While the cause of COVID-19 transmission has not been confirmed, it is believed that the virus is transmitted from animals to humans, causing various symptoms such as cough, runny nose, fever, sore throat and loss of smell. Research was conducted to classify COVID-19 symptoms into low, medium, and high categories in patients. This study aims to classify patient data and determine the risk of COVID-19 infection based on the severity of symptoms, namely mild, moderate, and high. Machine learning methods, including Decision Tree and SVM algorithms, are introduced and compared with K-Nearest Neighbor (K-NN), Neural Network (NN), Random Forest (RF), and Naive Bayes. The dataset used contains 127 patient records from kaggle.com. The test results showed that SVM achieved 54% accuracy, while Decision Tree achieved 98%. This research provides important insights into the risk assessment of COVID-19 infection based on symptom severity, and the use of machine learning techniques is expected to improve analysis and prediction capabilities in the face of the COVID-19 pandemic.
Co-Authors Alfian Armawan Sandi, Tommy Arina Selawati Astuti, Rachmawati Darma Fauzi Ahmad Muda Firmansyah Firmansyah Firmansyah Firmansyah Fuad Nur Hasan Hanggoro Aji Al Kautsar Hasan, Fuad Nur Ilham Nur Leksono Kurani Mega Asteroid Maulana, Andry Mohamad Ridwan Apriyadi Musriatun Napiah Nur Leksono, Ilham Rachmat Adi Purnama Rachmawati Darma Astuti Rachmawati Darma Astuti Rian Septian Anwar Ricardus Mba Dala Pati Sari Dewi Sujiliani Heristian Tommi Alfian Armawan Sandi Tommi Alfian Armawan Sandi Tommy Alfian Armawan Sandi Tuslaela