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All Journal Jurnal Algoritma Jurnal PkM MIFTEK Jurnal Algoritma
Asgara, Zidan
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Pengembangan Aplikasi Diagnosa Penyakit Mata dengan Algoritma Teorema Bayes Agustin, Yoga Handoko; Asgara, Zidan; Baswardono, Wiyoga
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1564

Abstract

The eye is one of the senses that has great importance, because it functions in connection with the surrounding environment. If there are eye problems that are ignored, it will be an early sign of a potentially dangerous eye disorder. As the quality of life decreases and the level of stress received, complaints related to eye disease also increase. Human knowledge and skills are not eternal, they can be lost due to various reasons such as death, retirement, or job changes. When making conclusions, experts may be influenced by certain factors that have the potential to influence the final outcome of that conclusion. So that society can prevent and treat eye diseases, an expert system application is needed to assist eye polyclinic officers and the public in diagnosing eye diseases using the Bayes Theorem inference method. Bayes' theorem is a mathematical equation used to estimate the possibility of future events or their probabilities. This probability refers to the chance of an outcome occurring based on previous information. Its function is to update existing predictions or hypotheses. The results of this research are conclusions about the type of eye disease suffered based on the symptoms chosen by the patient and have been calculated using Bayes calculations. Based on testing 50 patient sample data, the percentage of conformity between the system and experts was 86% of the test data.
Pengembangan Aplikasi Diagnosa Penyakit Mata dengan Algoritma Teorema Bayes Agustin, Yoga Handoko; Asgara, Zidan; Baswardono, Wiyoga
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1564

Abstract

The eye is one of the senses that has great importance, because it functions in connection with the surrounding environment. If there are eye problems that are ignored, it will be an early sign of a potentially dangerous eye disorder. As the quality of life decreases and the level of stress received, complaints related to eye disease also increase. Human knowledge and skills are not eternal, they can be lost due to various reasons such as death, retirement, or job changes. When making conclusions, experts may be influenced by certain factors that have the potential to influence the final outcome of that conclusion. So that society can prevent and treat eye diseases, an expert system application is needed to assist eye polyclinic officers and the public in diagnosing eye diseases using the Bayes Theorem inference method. Bayes' theorem is a mathematical equation used to estimate the possibility of future events or their probabilities. This probability refers to the chance of an outcome occurring based on previous information. Its function is to update existing predictions or hypotheses. The results of this research are conclusions about the type of eye disease suffered based on the symptoms chosen by the patient and have been calculated using Bayes calculations. Based on testing 50 patient sample data, the percentage of conformity between the system and experts was 86% of the test data.
Peningkatan Produktivitas Insan Pendidikan Ditengah Pandemi Covid-19 Ramdan, Galih Muhammad; Putri, Anisa Devisa; Sholahudin, Hary; Munajat, Ikbal; Apriliani, Insani; Jaya, Mochamad; Azmi, Muhammad; Alhakeem, Reinalgy Azni; Zulfiansyah, Rezky; Asgara, Zidan; Nashrulloh, Muhammad Rikza
Jurnal PkM MIFTEK Vol 3 No 1 (2022): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.3-1.1292

Abstract

Responding to the spread of the COVID-19 pandemic, the Indonesian government implemented a series of policies, one of which is distance learning. This approach is expected to be able to minimize social interaction and reduce the number of positive cases of COVID-19. Although in its implementation distance learning is considered not optimal. Along with the development of information and communication technology. People find alternative social interactions through virtual communities. In an effort to optimize the potential of distance learning. Devotion is done to the virtual community who are people of education. The method used is in the form of input, problem solving and output stages through a series of webinars and dissemination of educational content through social media. Aiming to increase the productivity of education personnel during the COVID-19 pandemic. The conclusion results state that there has been an increase in capacity related to productivity in education personnel from what was very poor to very good.
Co-Authors Alhakeem, Reinalgy Azni Apriliani, Insani Baswardono, Wiyoga Jaya, Mochamad Muhammad Azmi, Muhammad Muhammad Rikza Nashrulloh Munajat, Ikbal Putri, Anisa Devisa Ramdan, Galih Muhammad Sholahudin, Hary Yoga Handoko Agustin Zulfiansyah, Rezky