BibTex Citation Data :
@article{TEKNIK15918, author = {Naniek Handayani and Mochammad Wibowo and Diana Sari and Yoga Satria and Akbar Gifari}, title = {Penilaian Risiko Sistem Informasi Fakultas Teknik Universitas Diponegoro Menggunakan Metode Failure Mode Effect And Analysis Berbasis Framework ISO 27001}, journal = {TEKNIK}, volume = {39}, number = {2}, year = {2018}, keywords = {Information System; Risk assessment; ISO 27001 Framework; risk agent; FMEA; RPN}, abstract = { The data leakage and misuse of information by unauthorized parties that had happened forces the protection of security of information system in the Faculty of Engineering Diponegoro University (SIFT UNDIP) to be improved. This research aims to identify the risks, to analyze security of information system management, and to determine risk priority in SIFT UNDIP. This research is conducted using Failure Mode Effect and Analysis method based on ISO 27001 framework. Analysis results show that there are 25 risk agents in SIFT UNDIP which are categorized into four types of assets. The highest risk in High Level Risk category is the risk of dependence on employees which has Risk Priority Number value of 80. }, issn = {2460-9919}, pages = {78--85} doi = {10.14710/teknik.v39i2.15918}, url = {https://ejournal.undip.ac.id/index.php/teknik/article/view/15918} }
Refworks Citation Data :
The data leakage and misuse of information by unauthorized parties that had happened forces the protection of security of information system in the Faculty of Engineering Diponegoro University (SIFT UNDIP) to be improved. This research aims to identify the risks, to analyze security of information system management, and to determine risk priority in SIFT UNDIP. This research is conducted using Failure Mode Effect and Analysis method based on ISO 27001 framework. Analysis results show that there are 25 risk agents in SIFT UNDIP which are categorized into four types of assets. The highest risk in High Level Risk category is the risk of dependence on employees which has Risk Priority Number value of 80.
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Evaluasi Keamanan Sistem Informasi Menggunakan Fuzzy FMEA Berbasis Framework ISO/IEC 27001:2013 untuk Meningkatkan Keamanan Informasi
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