Nadya Chitayae
Institut Teknologi dan Sains Nahdlatul Ulama Kalimantan

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Identifikasi Malware pada Android menggunakan Algoritma K-Nearest Neighbor Nadya Chitayae; Alva Hendi Muhammad
Journal of Information Technology Vol 3 No 2 (2023): Journal of information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v3i2.752

Abstract

Not a few people abuse technology to commit crimes or what is called a cybercrime. One form of cybercrime is a malware or malicious software attacks. It is necessary to detect malware attacks so that users can find out whether the data comes from the internet or whether an Android application is safe from inserting malware or not. Malware is quite difficult to classify and differentiate directly; therefore, we need a way to classify good websites and malicious websites. This study uses the K-Nearest Neighbor method to classify android application malware. This study uses Android Malware/Benign Permissions data in the form of CSV files obtained from Kaggle.com. The results showed that malware classification and not malware in the android application permit could be done well using the K-Nearest Neighbor algorithm, which produces an accuracy of 77%. Classification of malware and not malware is better done by combining the K-Nearest Neighbor method with feature selection, which increases the accuracy value from 44% to 77%.
IT Governance Audit of Mamikos Using COBIT 4.1in Delivery and Support Nadya Chitayae
Jurnal Ilmiah Media Sisfo Vol 20 No 2 (2026): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2026.20.2.3048

Abstract

Information technology governance needs to be assessed periodically to determine whether IT-enabled services support organizational and user requirements. This study evaluates the Delivery and Support processes of the Mamikos application using COBIT 4.1, focusing on DS1 (Define Service Levels), DS3 (Manage Performance and Capacity), and DS4 (Ensure Continuous Service). The assessment involved 20 student respondents who were searching for boarding houses through Mamikos, with questionnaires distributed directly to the respondents. The assessment results show maturity indices of 3.00 for DS1, 2.37 for DS3, and 3.67 for DS4, with an overall maturity index of 3.01 (Level 3, Defined). The average target maturity is 3.67 and the average gap is 0.65. The contribution of this study is a focused maturity profile of three Mamikos service-management processes and process-specific improvement directions based on the assessment. The findings provide an evaluation basis for prioritizing improvements in service-level management, performance and capacity, and service continuity. The proposed improvements include strengthening customer service and customer surveys for DS1, adding problem-resolution status information and customer-data validation for DS3, and providing customer satisfaction ratings for DS4