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All Journal Jurnal Informatika dan Teknik Elektro Terapan JUTIK : Jurnal Teknologi Informasi dan Komputer
Aurela Khoiri Nasution
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences

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SISTEM KLASIFIKASI URL UNTUK DETEKSI SITUS BERBAHAYA BERBASIS ANALISIS FITUR JARINGAN Yeremia, Yeremia Setya Maharman Gurning; Dedy Kiswanto; Leni Karmila Daulay; Aurela Khoiri Nasution
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8186

Abstract

Peningkatan aktivitas cybercrime seperti phishing, malware, dan penipuan daring menyebabkan kebutuhan akan sistem deteksi situs berbahaya yang efektif semakin mendesak. Penelitian ini mengembangkan Sistem Klasifikasi URL untuk Deteksi Situs Berbahaya Berbasis Analisis Fitur Jaringan yang bertujuan untuk mengidentifikasi dan mengklasifikasikan situs menjadi tiga kategori, yaitu normal, suspicious, dan malicious. Sistem dirancang menggunakan bahasa pemrograman PHP dengan integrasi API URLHaus sebagai sumber referensi data situs berbahaya. Proses analisis dilakukan dengan memeriksa sejumlah fitur jaringan, meliputi panjang URL, jumlah subdomain, penggunaan protokol HTTPS, karakter spesial, port non-standar, serta kata kunci mencurigakan. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi situs berbahaya secara real-time dengan waktu respon rata-rata kurang dari tiga detik per URL. Selain itu, sistem menampilkan hasil analisis dalam bentuk visual seperti progress bar tingkat risiko dan keterangan fitur yang memengaruhi hasil klasifikasi. Berdasarkan evaluasi, sistem dapat mengklasifikasikan URL dengan akurat dan efisien tanpa perlu mengakses konten situs secara langsung, sehingga aman untuk digunakan. Sistem ini diharapkan dapat menjadi solusi praktis dalam meningkatkan kesadaran pengguna terhadap ancaman siber serta dasar pengembangan lanjutan berbasis machine learning untuk peningkatan akurasi di masa depan.
PERANCANGAN APLIKASI ABSENSI KELAS PRESENTENSE.COMSCI BERBASIS GLIDE SEBAGAI PLATFORM NO-CODE Evelyn Keisha Silalahi; Aurela Khoiri Nasution; Josua Anugrah Deo Tampubolon; Rut Kezia Imburi; Adidtya Perdana
Jurnal Teknologi Informasi dan Komputer Vol. 12 No. 1 (2026): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2026
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v12i1.3977

Abstract

The development of information technology has encouraged the birth of digital solutions in various fields, including education. One of the problems often faced in the academic environment is a manual attendance system that is prone to manipulation, inefficient, and makes it difficult to record data. This research aims to design and implement a mobile-based digital attendance application called Presentense.ComSci, using Glide as a no-code platform. The research method used is Research and Development (R&D), with stages ranging from needs analysis, system design, implementation, to evaluation. This application is designed to be able to record student attendance in real-time through the institution's email verification feature, automatic time recording (timestamp), GPS location tracking, and selfie upload as proof of attendance. Attendance data is automatically saved into a Google Spreadsheet, so it can be accessed by the admin practically and safely. Tests were conducted on two classes at Medan State University with the results showing that the application was able to function properly, although there were some problems with GPS location accuracy. With this application, the attendance recording process becomes more transparent, efficient, and practical, and can be an innovative solution for attendance management in higher education.
Co-Authors Adidtya Perdana, Adidtya Dedy Kiswanto Evelyn Keisha Silalahi Josua Anugrah Deo Tampubolon Leni Karmila Daulay Rut Kezia Imburi Yeremia, Yeremia Setya Maharman Gurning