Titin Winarti
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Web-based Secure Degree Certificate Legalization System Using Advanced Encryption Standard Algorithm Henny Indriyawati; Titin Winarti; Vensy Vydia
International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.712024.17-21

Abstract

Degree certificate legalization system with encryption security feature using Advanced Encryption Standard (AES) in Semarang University has a purpose to support academic to do online document legalization through a system. The main problem which occurs in academic administration is a long document legalization process that causes an ineffective and inefficient legalization process. To solve the problem, a system that can encrypt a document for better security is required. This system is built with the Advanced Encryption Standard algorithm with a 128-bit sized key to encrypt confidential information inside the document. During the encryption process, this algorithm operates using 4x4 bit array blocks and passing many encryption processes for at least 10 (ten) times. The application is analyzed with object-oriented analysis and modeled with Unified Modeling Language.  The result of this research is a system which can secure document with AES algorithm with a 256-bit sized key. The security element in this algorithm will make easier to identify the owner of the document. The secured document is easily accessible through PHP-based web or available QR code. When decrypting the document, the application will activate the camera function and decrypt the information document.
Data Mining Modeling Feasibility Patterns of Graduates Ability with Stakeholder Needs Using Apriori Algorithm Henny Indriyawati; Titin Winarti
International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.522023.12-17

Abstract

This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders.  The Apriori algorithm is the best-known algorithm for finding high-frequency patterns  Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles.  
Meningkatkan Kompetensi Digital Siswa SMA : Etika Bermedia Sosial Dengan Bijak Pratama Angga Buana; Saifur Rohman Cholil; Titin Winarti; Dwi Prabowo; Aaliyah Putri Shafira Panyol; Nasywa Farahiya Prastiwi; Jessica Elaine Utomo
Jurnal Serambi Abdimas Vol 7 No 01 (2026): Jurnal Serambi Abdimas
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/sa.v7i01.19964

Abstract

Peningkatan pesat penetrasi internet dan tingginya ketergantungan Generasi Z pada media sosial dan platform digital telah menciptakan kesenjangan dalam literasi digital kritis. Isu ini diperparah dengan maraknya risiko kejahatan siber, penyebaran hoax, cyberbullying, dan munculnya tantangan etika terkait pemanfaatan Artificial Intelligence (AI), terutama isu plagiarisme. Kegiatan Pengabdian ini bertujuan untuk meningkatkan kompetensi digital siswa SMA Warga dengan memperkuat pemahaman tentang Etika Digital, dan Literasi pemanfaatan teknologi AI. Kegiatan dilaksanakan melalui pendekatan edutainment, dan workshop praktik. Workshop mencakup demonstrasi langsung aplikasi AI generatif (Gemini dan ChatGPT), dengan penekanan kuat pada konsekuensi hukum yang diatur dalam Undang-Undang ITE dan UndangUndang Hak Cipta. Kegiatan ini melibatkan 33 peserta didik dan tiga tenaga pendidik. Hasil evaluasi menggunakan kuesioner pretest dan posttest menunjukkan efektivitas intervensi. Ratarata skor keseluruhan meningkat dari 1.56 menjadi 4.61 (skala Likert 5), mengindikasikan peningkatan kesadaran yang berhasil. Temuan paling menonjol adalah peningkatan pengetahuan yang signifikan mengenai sanksi hukum (UU ITE dan UU Hak Cipta) untuk pelanggaran digital dan plagiarisme. PkM ini berkontribusi dalam mempersiapkan siswa untuk menjadi warga digital yang cakap teknologi dan beretika.