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Journal : Jurnal Ilmiah Sinus

Analisis Penyalahgunaan Data Pribadi Dalam Aplikasi Fintech Ilegal Dengan Metode Hibrid Hendro Wijayanto; Abdul Haris Muhammad; Dedy Hariyadi
Jurnal Ilmiah SINUS Vol 18, No 1 (2020): Vol 18, No 1, Januari 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.089 KB) | DOI: 10.30646/sinus.v18i1.433

Abstract

Penetration of internet usage in Indonesia has increased by 10.12% from 2017 to 2018. This has led to very rapid technological growth, such as the growth of online loan services or Financial Technology (Fintech). This condition makes the emergence of illegal fintech services built by certain groups to reap profits. Illegal fintech service providers stand building applications with a lot of personal data requested at registration. Starting from personal data, family, work up to banking are accompanied by photo evidence and contact numbers. Hybrid analysis is needed to see the extent in which the fintech application treats customer data. In this technique, there are static analysis and dynamic analysis. Static analysis is used to see the extent in which the fintech application runs on Smartphone devices with required data and other policies. Dynamic analysis is used to view the activity of tiles and permissions of fintech applications from source code, malware analysis, and permission analysis. Hybrid analysis results show that all fintech applications have a huge potential for misuse of customer's personal data. This is indicated by the existence of a data collection URL that can be accessed by the public, there are malware activities, READ_PHONE_STATE and READ_CONTACS permissions so that fintech application providers freely monitor all contact activities, locations on the customer's Smartphone. The results of the analysis can be used to recommend fintech service users to be careful of fintech applications. Moreover, it can be used as a reference for making illegal fintech detection frameworks.
Pengukuran Tingkat Kesadaran Keamanan Siber di Kalangan Mahasiswa saat Study From Home dengan Multiple Criteria Decision Analysis (MCDA) Andriani Kusumaningrum; Hendro Wijayanto; Bayu Dwi Raharja
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.586

Abstract

Covid-19 pandemic has forced all sectors to be online. Likewise in higher education, college students must carry out their learning activities from home and use computer information technology. This high digital activity will make cyber-crime high. Measurement of cybersecurity awareness for students when studying from home can be a reference to educate students on the importance of cybersecurity. Its measurement used multiple criteria decision analysis or MCDA. Multi-criteria decision analysis (MCDA) is one of the elements risk managements contained in SNI ISO 31000. The measured dimensions were knowledge, attitude and behavior within areas of using passwords, email and internet, mobile devices, social media, incidents and consequences. The calculation of the weighting used the analytic hierachy process or AHP method. The results of the measurements showed a total value of 79.5% or entered at a moderate level. At this level, students already have good knowledge of cybersecurity readiness. However, students have not been maximal in applying it to their daily activities. The assessment of the knowledge dimension showed a value of 84%, attitude of 78.3% and behavior of 73.1%. It needs to be an increase in socialization in terms of cybersecurity. This result was 8.5% difference from previous research with different object and question components. It still showed the level of awareness at the level of "medium". Therefore, college students are better understanding the importance of cyber security and encourage themselves to become cybersecurity agents in the community.