Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Blend Sains Jurnal Teknik Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Umaya Ramadhani Putri Nasution
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
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.
Pelatihan Pembuatan Bahan Ajar Kreatif dengan Media Canva Bagi Guru dalam Upaya Meningkatkan Hasil Belajar Siswa MTs Al Abraar Humaizi Humaizi; Muhammad Yusuf; T. Kasa Rullah Adha; Umaya Ramadhani Putri Nasution
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 4 No. 1 (2025): Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v4i1.3020

Abstract

Abstract, In recent years, there have been challenges faced by MTs Al Abraar in an effort to improve student learning outcomes, especially in creating creative and innovative learning. The partners involved in this program are teachers at the Al-Abraar Tandem Hilir Private Middle School, Hamparan Perak District, where the main problem experienced by partners is the lack of knowledge in using IT in creating creative teaching materials. Therefore, the solution offered is to provide training in creating creative teaching materials to improve teachers' knowledge and skills in creating, using and optimizing the use of Canva. The location for implementing this program has been discussed with partners, namely at the Al Abraar Tandem Hilir Private Middle School located at Jln. Listrik Emplasmen Tandam Hilir I, Hamparan Perak District, Deli Serdang Regency, North Sumatra. This program consists of stages of preparation, implementation, monitoring, and evaluation. In implementing this service, the team implemented the in-house training method. In the implementation of the training, the community service team provided tutorial materials on the use of Canva which would be carried out for 2 meetings (2 meetings per material) and carried out alternately with a duration of 120 minutes each. Training activities on this were carried out on August 8-9, 2024 offline with lecture methods, direct training, discussions and questions and answers. The results of this activity can be seen that the participants of the activity can recognize and can create creative teaching material designs using Canva and its supporting features and are used in teaching. The sustainability of this program can be measured by the existence of teaching materials made using Canva.
Enhancing marketing efficiency through data-driven customer segmentation with machine learning approaches Purnamasari, Fanindia; Putri Nasution, Umaya Ramadhani M. O.; Elveny, Marischa
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1399-1410

Abstract

The importance of understanding consumer behavior in transaction data has become a key to improving marketing efficiency. This study aims to explore the application of machine learning (ML) techniques for data-driven consumer segmentation, focusing on improving product marketing strategies. This work addresses the limitations in the existing literature, especially in terms of handling high-dimensional data that can reduce segmentation quality. Previously, various studies have used clustering algorithms such as K-means without considering dimensionality reduction, which often leads to decreased accuracy and long computation time. In this study, we propose a new approach that combines principal component analysis (PCA) for dimensionality reduction and K-means clustering for consumer segmentation based on purchasing behavior. Experimental results show that using PCA to reduce data dimensionality significantly improves segmentation quality with an inertia score of 1,455,650 and a silhouette score of 0.486366. By implementing this method, we can group consumers into three segments based on frequently purchased product categories and the most common payment methods. These findings provide a scalable, data-driven segmentation framework that can be applied to improve marketing effectiveness by providing special discounts on various products based on the payment method used.
Implementation of Web Based E-Monitoring for Student Activities Record in SMK Swasta Medan Area 1 Hizriadi, Ainul; Nasution, Umaya Ramadhani Putri; Purnamasari, Fanindia
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.11192

Abstract

SMK Medan Area 1 is one of the educational facilities that want to produce the best students to be able to become the best human resources in the future. The school is one of the secondary schools located in the city of Medan, North Sumatra province. The school provides various educational support facilities for its students so that they can learn to the fullest. For the sake of education progress, this Medan Area 1 Vocational School wants to take advantage of the available facilities and infrastructure, one of which is the internet. The school's need to quickly and easily supervise student activities and the curiosity of parents/guardians for information related to their sons and daughters makes a new need to continue to be able to unite all their children's activities at the school. These activities include attendance, tuition payments, notification of grades and violations committed by their sons and daughters. Therefore, a web-based monitoring application is needed to unify student activities that can be seen from anywhere, especially by parents/guardians. aims to provide convenience to teachers, especially counseling guidance (BK) teachers and web-based students in unifying several student activities including attendance, tuition payments, value notifications, and the method used in making applications carried out through five stages, namely: development problems , data collection for system requirements, system analysis and design, system implementation and implementation, and system testing
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.
Co-Authors Ainul Hizriadi Anandhini Medianty Nababan Elveny, Marischa Fanindia Purnamasari Humaizi Humaizi Lia Silviana Lutfi Basit Marischa Elveny, Marischa MUHAMMAD YUSUF Purnamasari, Fanindia Ramadhani, Fanny Stephani Uli Basa Silitonga T. Kasa Rullah Adha