Claim Missing Document
Check
Articles

Found 2 Documents
Search

Combination of Hybrid Cryptography In One Time Pad (OTP) Algorithm And Keyed-Hash Message Authentication Code (HMAC) In Securing The Whatsapp Communication Application Fanny Ramadhani; Umaya Ramadhani; Lutfi Basit
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 1, No 1 (2020)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.559 KB) | DOI: 10.30596/jcositte.v1i1.4359

Abstract

Whatsapp is a cross-platform messaging application that allows us to exchange messages without SMS fees, because WhatsApp uses the same internet data package for email, web browsing, and more. The WhatsApp application reportedly has improved the security system of applications that are end to end encryption (E2EE). This proves that the WhatsApp manager paid considerable attention to privacy and security issues for its users. In addition, it also implies an important matter where business actors have begun to realize that the application of cryptographic services is part of a very promising business strategy or even determines the present and future consequences. The consequence of implementing E2EE is the description encryption process that takes place at the application layer (OSI layer). Cryptography is a study that studies methods to send messages in secret (that is, encrypted or disguised) so that only the intended recipient of the message can decode and read the message. For this reason, cirptography is one method that can implement E2EE on whatsapp. One Time Pad (OTP) is a type of symmetry algorithm, each key is only used for one message. If the key is random (cannot be reproduced) and only used once, then the algorithm is perfectly safe. The MAC (Message Authentication Code) is an identifier to prove the authenticity of a document obtained by using meaningless messages obtained from processing some of the contents of the document using a private key.
Pengelompokan Pernyataan Misogini pada Media Sosial Berbahasa Indonesia Menggunakan TF-IDF dan Algoritma K-Means Umaya Ramadhani Putri Nasution; Ikhwanuddin Nasution; Lia Silviana; Fanindia Purnamasari; Marischa Elveny; Anandhini Medianty Nababan; Stephani Uli Basa Silitonga
Blend Sains Jurnal Teknik Vol. 5 No. 1 (2026): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v5i1.1776

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pola tersembunyi pada komentar media sosial berbahasa Indonesia yang berkaitan dengan misogini menggunakan pendekatan clustering. Dataset yang digunakan terdiri atas komentar yang dikumpulkan dari beberapa platform media sosial. Tahapan penelitian meliputi preprocessing teks, ekstraksi fitur menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF), serta pengelompokan data menggunakan algoritma K-Means. Penentuan jumlah klaster optimal dilakukan melalui evaluasi menggunakan Silhouette Score, Davies-Bouldin Index, dan Calinski-Harabasz Index, yang menghasilkan jumlah klaster optimal sebanyak lima klaster. Hasil analisis top terms menunjukkan bahwa setiap klaster memiliki karakteristik semantik yang berbeda, meliputi objektifikasi seksual eksplisit, diskursus peran gender, benevolent sexism, interaksi relasional, dan objektifikasi fisik yang dinormalisasi. Hasil penelitian menunjukkan bahwa komentar yang berkaitan dengan misogini tidak bersifat homogen, tetapi membentuk beberapa kelompok berdasarkan pola bahasa dan konteks semantik yang berbeda. Temuan ini menunjukkan bahwa kombinasi representasi fitur berbasis TF-IDF dan algoritma K-Means mampu mengungkap struktur semantik laten pada komentar media sosial yang tidak dapat direpresentasikan secara memadai melalui kategorisasi biner misogini dan non-misogini.