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Sistem Pakar Mendiagnosa Penyakit Sampar Menggunakan Metode Hybrid Case Based Nuraida Br Ginting; Garuda Ginting; Natalia Silalahi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 1 (2019): Januari 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i1.1062

Abstract

Sampar, also known as a pest or black death or plague, is a bacterial infection of Yersinia pestis (Y.pestis), where the disease is actually a zoonotic disease, which is an animal disease transmitted by humans. This disease is caused by the bacterium yersinia pestis which lives on fleas, where these fleas live in rodents (especially mice). Fleas spread disease when sucking rat or human blood. This disease is also called plague due to black patches found in the skin of the patient at the beginning of the outbreak. This pestilence was once an epidemic in 1347-1351 in Europe and other regions and killed approximately 75 million people in the world. This disease in Indonesia is still under monitoring and is one of the infectious diseases in the outbreak law that must be reported to the health office. According to WHO this disease is one of the deadly infectious diseases after infection and patients can die within 24 hours. So that people are more careful with this disease so that they are not exposed to pestilence. Because many people do not recognize the transmission of Yersinia pestis bacterial infections and do not know the symptoms that arise from pestilence. then a system for pestilence is created which aims to better diagnose early onset of this pestilence. The method applied in expert systems and one of them is a case based hybrid. Hybrid case based is one of the mathematical theories for proof based on belief functions and plausible reasoning, which is used to combine separate pieces of information or evidence to calculate a probability of an event (Arthur P.Dempster and Glen Shafer)
Aplikasi Saran Buku Bacaan Bagi Pengunjung Perpustakaan AMIK STIEKOM Sumatera Utara Berdasarkan Algoritma Brute Force Taronisokhi Zebua; Natalia Silalahi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 3 (2018): Edisi Juli
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v3i0.67

Abstract

Service of information about books in a library is very helpful and makes it easier for visitors to find the book they want to find. Presentation of information on books available in the library of AMIK Stiekom North Sumatra has not been effective and efficient, because it is still done by looking at the library employee records on the list of books that have been provided. This problem becomes one of the factors to decrease interest in reading the library visitors. Utilization of application suggestions reading books in the library of AMIK Stiekom North Sumatra can be used as a trigger of the interest of visitors to keep reading books available in the library. The built-in book suggestion app works based on brute-force algorithms so that it can present book information relevant to the topic being searched by the visitors.
Aplikasi Saran Buku Bacaan Bagi Pengunjung Perpustakaan AMIK STIEKOM Sumatera Utara Berdasarkan Algoritma Brute Force Taronisokhi Zebua; Natalia Silalahi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 3 (2018): Edisi Juli
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.679 KB) | DOI: 10.30645/jurasik.v3i0.67

Abstract

Service of information about books in a library is very helpful and makes it easier for visitors to find the book they want to find. Presentation of information on books available in the library of AMIK Stiekom North Sumatra has not been effective and efficient, because it is still done by looking at the library employee records on the list of books that have been provided. This problem becomes one of the factors to decrease interest in reading the library visitors. Utilization of application suggestions reading books in the library of AMIK Stiekom North Sumatra can be used as a trigger of the interest of visitors to keep reading books available in the library. The built-in book suggestion app works based on brute-force algorithms so that it can present book information relevant to the topic being searched by the visitors.
Application of Multi Criteria Supporting Elemination and Choice Translation Reality (ELECTRE) Decision in Determining Scholarship Recipients for Employee Children at PT. Nusira Mesran Mesran; Afsah Rizki; Natalia Silalahi
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.709 KB) | DOI: 10.30865/ijics.v3i1.1356

Abstract

During this time the determination of scholarship recipients for employees' children at PT. Nusira is not so good and is considered not so objective because it is still done by direct election and carried out manually so that it causes nepotism or prioritizes choosing employees who have high positions so that it is not so fair for ordinary employees. Due to the absence of a good system, causing problems to arise in terms of determining the receipt of scholarships for employees' children. Therefore, by using a decision support system based on Elimination and Choice Translation Reality (Electre). It is expected that decision-makers will be helped and reduce existing problems, especially in determining the acceptance of scholarships for employees' children.