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Yelly Yosiana Nabuasa
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Computer Science & IT

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ALGORITMA MD5 DAN RC5 UNTUK PENGAMANAN FILE PDF Manuel Luis Belo; Derwin Rony Sina; Yelly Yosiana Nabuasa
J-Icon : Jurnal Komputer dan Informatika Vol 8 No 1 (2020): Maret 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v8i1.2396

Abstract

Electronic documents are digital file types used to store the important data or information of a person or an institution. There are some of the most widely used document file formats that are. docx,. xlsx,. pptx, and. pdf. Issues that arise when a company, institution or organization that has confidential documents and important data in the form of document files can be accessed by persons or parties who have no authority. A document security solution can use cryptographic onsep. The document file types that can be encrypted are restricted to the Portable Document Format (. pdf) file. In this research is done lock security user input using the algorithm Message Digest 5 (MD5) and binary value multiplier in PDF files using Rivest Code algorithm (RC5). The test results using (i) the same key on a different PDF file indicate that the resulting binary chiperfile is different from the derived binary Plainfile, (ii) the key length of 1 to 8 characters on the same PDF file indicates that binary The chiperfile generated each key length differs from the binary plainfile taken, (iii) a change of 1 character at the beginning, in the middle, and at the end of the input key indicates that the method used is sensitive to the character changes on the key Input. It is known from the level of similarity of binary chiperfile and small/low binary plainfile based on the value of the collation generated per test is (i) 0.205795252, (ii) 0.24692765, (iii) 0.22421886.
Implementasi Hamilton Anxiety Rating Scale untuk Mendiagnosis Tingkat Kecemasan pada Mmahasiswa Dalam Penyusunan Skripsi Elfrida Veranda Beka Dede; Sebastianus Adi Santoso Mola; Yelly Yosiana Nabuasa
J-ICON : Jurnal Komputer dan Informatika Vol 10 No 1 (2022): Maret 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v10i1.6353

Abstract

Students who do thesis generally feel anxious. Lack of motivation and creativity, and there are still many students who find it difficult to write scientific papers are the main causes of anxiety. This anxiety needs to be addressed immediately so as not to have an impact on the writing time of the thesis which will be longer. Students can consult with a psychiatrist or psychologist to deal with anxiety. However, the inefficient consulting service becomes a problem due to the unbalanced comparison between the population in East Nusa Tenggara and clinical psychologists. Therefore, we need a system that has the experience and knowledge of an expert to determine the level of anxiety of students who are writing a thesis using the Hamilton Anxiety Rating Scale (HARS) and forward chaining inference. From the results of the research conducted, it is known that forward chaining inference is proven to be able to be applied and accurate in diagnosing anxiety levels in students who are writing thesis with 100% accuracy.
Co-Authors Derwin Rony Sina, Derwin Elfrida Veranda Beka Dede Manuel Luis Belo Sebastianus Adi Santoso Mola