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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Informasi dan Teknologi (JITU)
Pakkaja, Ryan Alghazali
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Computer Science & IT Education

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ANALYSIS OF THE MOBILE PAYMENT ONLINE SYSTEM APPLICATION OF THE PALOPO CITY REGIONAL GOVERNMENT BASED ON USER SATISFACTION Pakkaja, Ryan Alghazali; Luthfi, Ahmad; Haryono, Kholid
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.6949

Abstract

The electronic-based government system is now the best step for every region, and it certainly has a mission to educate the area regarding governance. Efforts have been made by the government to meet citizens' expectations for easier access to public services, which is the primary form of E-Government. Currently, the implementation of the existing E-Government concept can also be a new breakthrough in improving information technology-based services. One is the Mobile Payment Online System Application, built directly by the Palopo City Government through its strategic partner, Bank Sulselbar. However, special attention must still be given to implementing this application, especially to the system itself, which is less effective. Additionally, many individuals still take actions that are not in accordance with the procedures, as evidenced by the fraud committed by application users. This research uses qualitative methods that provide descriptive data results, describing the data occurring in the field. The data generated using quasi-experimental methods will be calculated using the same Likert scale. This research shows that the Mobile Payment Online System Application still needs to be socialized again to the users of this application and requires application development in terms of tool updates and system updates. This can be seen from the respondents' responses through the questionnaire results table and suggestions from these respondents. Thus, the Mobile Payment Online System Application is still ineffective for implementation in Palopo City.
Forensik File Prefetch pada Windows 11 untuk Deteksi Aktivitas Ransomware sebagai Upaya Penguatan Keamanan Siber Kusuma, Permadi; Djusmin, Vicky Bin; Pakkaja, Ryan Alghazali; Rachman, Mikhail Ashshidiqie
Jurnal Informasi dan Teknologi Vol 2 No 3 (2025): JITU: Jurnal Informasi dan Teknologi Universitas Cokroaminoto Palopo
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/jitu.v2i3.346

Abstract

Serangan ransomware merupakan salah satu ancaman serius dalam keamanan siber karena mampu mengenkripsi data korban dan mengganggu ketersediaan sistem. Pada tahun 2023–2024, jumlah serangan ransomware mengalami peningkatan signifikan, dengan puluhan ribu serangan yang berhasil diblokir di Indonesia dan ratusan juta upaya tercatat secara global. Dengan banyaknya serangan Ransomware maka diperlukan upaya pencegahan. Upaya mitigasi tidak hanya berfokus pada tahap pencegahan, tetapi juga membutuhkan mekanisme deteksi berbasis artefak forensik yang dapat memberikan indikasi dini terhadap aktivitas berbahaya. Penelitian ini bertujuan untuk menganalisis file Prefetch pada sistem operasi Windows 11 sebagai sumber artefak forensik untuk mendeteksi pola eksekusi ransomware. Proses penelitian dilakukan dengan membangun lingkungan uji berbasis virtual machine yang dipakai untuk mengeksekusi sampel ransomware. Selanjutnya, analisis Prefetch dilakukan menggunakan WinPrefetchView untuk mengidentifikasi metadata eksekusi, seperti nama file executable, waktu akses terakhir, jumlah eksekusi, serta daftar file yang diakses. Hasil penelitian menunjukkan bahwa ransomware menghasilkan pola Prefetch yang berbeda dibandingkan aplikasi normal, ditandai dengan jumlah akses file yang lebih tinggi, eksekusi berulang dalam waktu singkat, serta jalur eksekusi yang tidak lazim. Temuan ini memberikan kontribusi pada bidang forensik digital dengan menawarkan pendekatan berbasis Prefetch untuk mendukung deteksi dini ransomware, sekaligus memperkuat strategi Cyber Security Incident Response pada sistem berbasis Windows 11.
Co-Authors Ahmad Luthfi Kholid Haryono Kusuma, Permadi Rachman, Mikhail Ashshidiqie Vicky Bin Djusmin