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All Journal Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Novia Ratnasari
Universitas Islam Raden Rahmat Malang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

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UNIRA “CareerTrack” Virtual Assistant: Development of an Artificial Intelligence Based Chatbot for Career Center and Interactive Tracer Study to Realize a Digital Campus Novia Ratnasari; Luchyto Chandra Permadi; Muhammad Mas'ud
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1640

Abstract

The integration of artificial intelligence into academic services offers opportunities to improve the accessibility and efficiency of career and alumni information management. At Universitas Islam Raden Rahmat Malang, Tracer Study and Career Center services are currently managed through partially separated mechanisms, limiting integrated access to academic and career information. This study aims to design and develop UNIRA CareerTrack, an artificial intelligence-based virtual assistant that integrates academic data, Tracer Study information, and Career Center services within a Telegram-based chatbot. The system was developed using an Agile Development approach consisting of planning, design, development, testing, and review stages. System evaluation was conducted through black-box testing to assess functional performance and subject matter expert validation to examine the relevance, accuracy, clarity, and appropriateness of the generated academic and career information. The results showed that all tested system functions operated according to the specified scenarios, including academic data access, enrollment information, career advice, job recommendations, system integration, data validation, and error handling. Expert validation also confirmed that the generated information was relevant and appropriately presented. These findings demonstrate the functional feasibility and content validity of UNIRA CareerTrack as an integrated digital service supporting academic tracking and career guidance.
Co-Authors Luchyto Chandra Permadi Permadi Muhammad Mas'ud