Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal INTECOMS: Journal of Information Technology and Computer Science International Journal Software Engineering and Computer Science (IJSECS)
Eka Putri Aprillia
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Pengamanan Akses Reporting Budget Dealer Menggunakan Algoritma Kriptografi Advanced Encryption Standard (AES) pada Microsoft PowerApps Wieko Wieko; Kemal Adnan; Eka Putri Aprillia; Dadang Mulyana Iskandar
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 3 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i3.9388

Abstract

Keamanan informasi menjadi aspek kritis dalam lingkungan digital, khususnya dalam manajemen dan pertukaran data. Penelitian ini bertujuan untuk mengimplementasikan lapisan keamanan tambahan pada Microsoft Power Apps menggunakan algoritma kriptografi Advanced Encryption Standard (AES) untuk melakukan pengecekan text yang di enkripsi dan hasil enkripsi tersebut akan dikirimkan melalui email, sehingga dapat mengamankan akses reporting budget dealer. Metodologi penelitian melibatkan pemahaman mendalam terhadap konsep AES, analisis kebutuhan keamanan, dan implementasi teknis pada Microsoft Power Apps. Hasil penelitian menunjukkan bahwa integrasi AES pada Microsoft Power Apps mampu meningkatkan tingkat keamanan proses otomatisasi yang melibatkan teks. Enkripsi AES yang diimplementasikan pada level ini memberikan perlindungan terhadap akses yang tidak sah dan mencegah risiko kebocoran informasi.Penerapan ini relevan untuk organisasi yang mengandalkan Microsoft Power Apps dalam alur kerja bisnis mereka, terutama di lingkungan di mana keamanan informasi merupakan prioritas utama. Untuk menjamin perlindungan data reporting agar tidak dapat diakses dengan mudah, maka diperlukan algoritma kriptografi AES, hasil enkripsi tersebut akan dikirimkan melalui email pribadi, sehingga tidak sembarang pengguna yang mendapatkan password keys tersebut. Kata Kunci: Pengamanan Informasi, Kriptografi, Advanced Encryption Standard (AES), Microsoft Power Apps
Implementation of a Chatbot Using the Waterfall Method to Improve Helpdesk Service Efficiency at IT Consulting Companies Sri Lestari; Eka Putri Aprillia; Raisah Fajri Aula
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5207

Abstract

PT XYZ is a company engaged in information and communication technology services, supporting customers' digital transformation. The effectiveness of helpdesk services plays a crucial role in maintaining operations and fostering customer relationships. However, the issue reporting process is still handled manually through platforms such as WhatsApp and email, causing several problems, including inefficient ticket management, delays in ticket number assignment, and limited historical data. This study developed a chatbot based on Microsoft Copilot Studio to automate ticket creation, supported by Power Apps to address the lack of two-way communication features, aiming to support Customer Relationship Management (CRM) efforts. The system was developed using Waterfall methodology. The results showed significant improvements in service efficiency: the previous average initial response time of 2 days, 19 hours, and 13 minutes was eliminated due to automatic ticket number assignment; the average issue resolution time decreased from 5 days, 6 hours, and 20 minutes to 42 minutes; and ticket history search time improved from 14 minutes to 2 seconds. The chatbot successfully accelerated the reporting process, enhanced data recording, and reduced the workload of the helpdesk team. This solution significantly improved helpdesk efficiency and strengthened customer engagement.
Co-Authors Dadang Iskandar Mulyana` Kemal Adnan Raisah Fajri Aula Sri Lestari Wieko Wieko