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All Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH Jurnal Sistem Informasi dan Bisnis Cerdas
Andri Heryandi
Universitas Komputer Indonesia (UNIKOM)
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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User Acceptance Test For Digital Signature Application In Academic Domain To Support The Covid-19 Work From Home Program Irawan Afrianto; Andri Heryandi; Alif Finandhita; Sufa Atin
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i3.132

Abstract

The user acceptance test (UAT) is the final stage in the production of the application. This is intended to see the degree to which the system can function and satisfy the needs of its users. The objectives of this research is to test the function and user acceptance of the digital signature application in the academic environment to support the covid-19 work from home program. The approach used in the user acceptance test is to use the black box method and the Likert scale questionnaire to figure out the functional scope of the program, as well as the acceptance of system by users while using the application. The results of the test show that the digital signature application that has been designed, functionally can run well and generates a user acceptance value of 82.07%. It can be concluded that the application that was developed has been accepted by users and fulfills the needs of its users, it is an alternative solution, especially in signing academic documents during the current Covid-19 pandemic.
User Acceptance Test For Digital Signature Application In Academic Domain To Support The Covid-19 Work From Home Program Irawan Afrianto; Andri Heryandi; Alif Finandhita; Sufa Atin
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.593 KB) | DOI: 10.30645/ijistech.v5i3.132

Abstract

The user acceptance test (UAT) is the final stage in the production of the application. This is intended to see the degree to which the system can function and satisfy the needs of its users. The objectives of this research is to test the function and user acceptance of the digital signature application in the academic environment to support the covid-19 work from home program. The approach used in the user acceptance test is to use the black box method and the Likert scale questionnaire to figure out the functional scope of the program, as well as the acceptance of system by users while using the application. The results of the test show that the digital signature application that has been designed, functionally can run well and generates a user acceptance value of 82.07%. It can be concluded that the application that was developed has been accepted by users and fulfills the needs of its users, it is an alternative solution, especially in signing academic documents during the current Covid-19 pandemic.
INTEGRASI ROBOTIC PROCESS AUTOMATION DAN REINFORCEMENT LEARNING UNTUK NOTIFIKASI CERDAS DI LINGKUNGAN PENDIDIKAN: TINJAUAN LITERATUR SISTEMATIS Hani Irmayanti; Sufa atin; Andri Heryandi; Sri Supatmi; Zainal Arifin Hasibuan; Bobi Kurniawan
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 19 No. 1 (2026): Februari 2026
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/sibc.v19i1.768

Abstract

Penelitian ini memetakan tren integrasi Robotic Process Automation (RPA) dan Reinforcement Learning (RL) untuk mengatasi information overload pada sistem notifikasi cerdas. Menggunakan metode Systematic Literature Review (SLR) dengan pedomanPRISMA pada basis data Scopus, 132 artikel relevan disaring dari 2.259 dokumen awal dalam rentang waktu 2021–2025. Analisis bibliometrik menunjukkan pertumbuhan publikasi yang pesat (Annual Growth Rate 74,16%) dengan dominasi jurnal IEEE Access.Pertumbuhan ini didukung oleh tingginya Kolaborasi Internasional yang mencapai 43,94%, menunjukkan cakupan global yang luas dan kualitas riset yang terjamin. Secara tematik, Deep Learning teridentifikasi sebagai motor utama, di mana RL berfungsi sebagai otak adaptif untuk optimasi keputusan. Sementara RPA berperan sebagai eksekutor deterministik, struktur tematik menempatkan Robotics dan Automation pada kuadran Emerging Themes, mengindikasikan bahwa fokus pengembangan utama masih padaalgoritma, bukan implementasi teknis RPA itu sendiri. Mengingat adanya celah riset pada aspek keamanan model (Trustworthiness) dan tantangan infrastruktur desentralisasi (Edge Computing), studi ini merekomendasikan pengembangan arsitektur Trustworthy AI serta integrasi Edge Computing untuk mendukung skalabilitas dan ketahanan sistem waktu nyata. Sebagai kontribusi ilmiah, temuan ini menyediakan landasan konseptual bagi pengembangan sistem notifikasi otonom berbasis RPA-RL yang tidak hanya adaptif, tetapi juga skalabel dan terpercaya untuk implementasi praktis di lingkungan real-time.
Co-Authors Alif Finandhita Bobi Kurniawan Hani Irmayanti Irawan Afrianto Sri Supatmi Sufa Atin Zainal Arifin Hasibuan