Electronic Theses and Dissertation

Internet telah menjadi topik perbincangan hangat dan menjadi salah satu alat penting dalam kehidupan sehari-hari. kemudahan dalam mengakses layanan internet memiliki sisi negatif yang cenderung membuat tingkat kesadaran manusia menurun terhadap keamanan informasi pribadi. penyebarluasan informasi pribadi tidak hanya terjadi di kalangan awam saja, akan tetapi terjadi juga di kalangan terpelajar seperti mahasiswa. penelitian ini bertujuan menganalisis tingkat kesadaran privasi atas masalah keamanan informasi, serta mengkaji kemampuan identifikasi mahasiswa program studi informatika fmipa universitas syiah kuala ketika berhadapan dengan serangan phishing. responden dalam penelitian ini adalah mahasiswa aktif informatika fmipa universitas syiah kuala angkatan 2014-2020 sebanyak 82 orang. responden diberikan 45 pernyataan dengan perincian sebanyak 15 pernyataan pengetahuan (knowledge), 15 pernyataan sikap (attitude), dan 15 pernyataan perilaku (behaviour). peneliti juga membuat web tiruan berupa halaman login facebook untuk menguji seberapa baik kemampuan responden mendeteksi web phishing. data hasil kuesioner dilakukan pengujian instrumen dengan tahapan uji validitas dan uji reliabilitas, selanjutnya data diolah menggunakan algoritma k-means clustering untuk mendapatkan kesimpulan berdasarkan kategori baik (good), rata-rata (average), buruk (poor) menurut level of awareness dari kruger dan kearney. kemudian peneliti menganalisis hasil pengujian tautan phishing web facebook yang telah disebarkan dalam kuesioner penelitian. hasil analisis data menunjukkan bahwa tingkat kesadaran privasi atas keamanan informasi yang dimiliki oleh mahasiswa program studi informatika fmipa universitas syiah kuala dapat dijabarkan sebagai berikut: 52% mahasiswa masuk dalam kategori baik, 31% mahasiswa dalam kategori rata-rata dan sebanyak 17% mahasiswa dalam kategori buruk. lebih lanjut, hasil analisis tautan phishing menunjukkan bahwa mahasiswa program studi informatika fmipa universitas syiah kuala dominan dapat mendeteksi web phishing. kata kunci: kesadaran, privasi, phishing, algoritma k-means clustering

The Internet is a hot topic of conversation and one of the important tools in daily life. Ease access for Internet services has negative side that tends to decrease the level of human awareness towards the security of personal information. Dissemination of personal information does not only occur among ordinary people, but also occurs among educated people like students. This study aims to analyze the level of privacy awareness of information security issues, as well as to examine the identification ability of students of the Department of Informatics FMIPA Universitas Syiah Kuala when dealing with the phishing attacks. There were 82 students as respondents in this study from active students (batch 2014-2020) of Informatics FMIPA Universitas Syiah Kuala. Respondents were given 45 statements with 15 statements of knowledge, 15 statements of attitude, and 15 statements of behavior as detail. The researcher created an artificial web in the form of Facebook login page to test how well the respondents' ability to detect web phishing. The data from the questionnaire was tested by instrument testing with the stages of validity and reliability, then the data was processed using K-Means Clustering algorithm to obtain conclusions based on categories of good, average and poor according to the level of awareness from Kruger and Kearney. Then the researchers analyzed results of testing the Facebook web phishing links that had been distributed in the research questionnaire. The results of data analysis show that the level of privacy awareness of information security owned by students of the Informatics Department FMIPA Universitas Syiah Kuala can be described as follows: 52% of students are good, 31% of students are average and 17% of students are poor. Furthermore, results of phishing link analysis showed that students of the Department of Informatics FMIPA Universitas Syiah Kuala can detect phishing webs dominantly. Keywords: Awareness, Privacy, Phishing, K-Means Clustering Algorithm