Article Per Year (5 Year)
p-Index From 2020 - 2025
3.608
P-Index
This Author published in this journals
All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ilmiah Mahasiswa JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informatika dan Komputer Journal of Computer Science and Information Technology
Agus Iskandar
Universitas Terbuka Propinsi Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Implementasi High Availability Cluster Web Server Menggunakan Virtualisasi Container Docker Putra, Muhammad Aldi Aditia; Fitri, Iskandar; Iskandar, Agus
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1729

Abstract

The increasing demand for information on the internet causes the traffic load on the web server to increase. Therefore it can cause the workload on a web server service to be overloaded (request), so that the server is down (overloaded). Based on previous research the application of load balancing can reduce the burden of traffic on the web server. This research method uses load balancing on servers with round robin algorithm and least connections as well as a single server as a comparison. The parameters measured are throughput, responses time, requests per second, CPU utilization. From the test results obtained Haproxy load balancing system, the least connection algorithm is superior to the round robin algorithm. Generated per-second request value of 2607,141 req / s and throughput of 9.25 MB / s for the least connection, while 2807,171 req / s and 9.30 MB / s for round robin.
Perbandingan Metode Dempster Shafer Dan Teorema Bayes Untuk Mendeteksi Penyakit Ensefalitis Mustaqim, M.; Rakasiwi, Galih; Iskandar, Agus
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7339

Abstract

The aim of this study was to evaluate how well Bayes' Theorem and the Dempster-Shafer Method identify encephalitis. Inflammation of the brain, or encephalitis, can be caused by several things, such as bacterial or viral diseases. The main aim of this study was to assess how well both approaches perform in identifying this disease using clinical data. The main problem faced in detecting encephalitis is the complexity of the variations in symptoms and causal factors. This research focuses on analyzing clinical data of encephalitis patients, including medical history, laboratory test results, and clinical symptoms. The Dempster-Shafer method, a belief theory approach that allows the integration of information from uncertain sources, will be compared with Bayes' Theorem, a classical statistical approach frequently used in medical diagnostics. The research method involves collecting clinical data from medical records of patients diagnosed with encephalitis. This data will then be analyzed using the Dempster-Shafer Method and Bayes' Theorem to compare their accuracy in detecting disease. In addition, evaluation of method performance will also be carried out by comparing the sensitivity, specificity, and positive and negative predictive values of each method. The results of this research are expected to provide better insight into the effectiveness of the Dempster-Shafer Method and Bayes' Theorem in detecting encephalitis. The implications of these findings can be used to improve existing diagnostic methods and increase the ability of early detection of this disease. This research has the potential to make an important contribution to the development of the field of diagnostic medicine and can help medical practitioners make better decisions in the management of encephalitis patients. Using the Dempster Shafer method, the encephalitis diagnosis rate reached 99.8%, while applying Bayes' Theorem gave a diagnosis rate of only 3.5%. From these results it can be concluded that the application of Dempster Shafer is more powerful and provides a higher level of confidence in the encephalitis diagnosis process compared to the Bayes Theorem method.
Co-Authors Agung Triayudi Ahmad Rifqi Andarweni, Dhea Ardiansyah, Aldi Ariyanto, Puji Dewi, Cahyani Rahma Dzalulliyah, Abidah Evika Prilian P., Evika Fauziah Fauziah Febita Resatika, Febita Ferina, Intan Putri Iskandar Fitri, Iskandar Jafar, Harun Al Malau, Morando Muh Fauzi, Muh Mustaqim, M. Nugraha, Yoga Septian Nur Endah Wahyuningsih Nurjaman, Shandy Putra, Muhammad Aldi Aditia Rafi Azhar, Muhammad Rahman Cahyono, Aditya Rakasiwi, Galih Sachrrial, Rifqi Habibi Saqila, Siti Emalia Shofi, Niam Tampake, Damian Ucuk Darusalam Wahyuddin, Moh. Iwan Yunisa Ratna R., Yunisa Zidni, Pandu