RANCANG BANGUN SISTEM PENCARIAN JURNAL BERBASIS WEB TERINTEGRASI CHATBOT AI MENGGUNAKAN METODE PERSONAL EXTREME PROGRAMMING

Alfino Putra Laksana; Rahmi Imanda;

ABSTRAK

Rancang Bangun Sistem Pencarian Jurnal Berbasis web Terintegrasi Chatbot AI Menggunakan Metode Personal Extreme Programming

Alfino Putra Laksana

Penelitian ini bertujuan untuk merancang dan membangun sistem pencarian jurnal berbasis web
yang terintegrasi dengan chatbot AI, guna memudahkan mahasiswa UHAMKA dalam menemukan
jurnal berdasarkan program studi dan dosen pengampu, serta mempercepat pemahaman isi jurnal.
Metode pengembangan menggunakan Personal Extreme Programming (PXP) dengan tahapan
iteratif, serta pemanfaatan Laravel sebagai framework backend dan Flowise AI sebagai platform
chatbot. Hasil pengujian menunjukkan bahwa sistem berhasil memenuhi kebutuhan pengguna. Dari
41 responden, sebanyak 34 orang (82,9%) menyatakan sangat setuju dan 7 orang (17,1%) setuju
bahwa sistem ini membantu pencarian jurnal secara relevan, sehingga 100% responden menyatakan
sistem efektif. Untuk fitur chatbot AI, 27 responden (65,9%) sangat setuju dan 14 responden (34,1%)
setuju, yang juga berarti 41 responden merasa terbantu dalam memahami isi jurnal. Temuan ini
menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi pencarian jurnal
sekaligus mendukung proses pembelajaran secara signifikan.

Kata kunci: Pencarian Jurnal, Chatbot AI, Personal Extreme Programming, Laravel, Flowise AI, UHAMKA.

Design and Development of a Web-Based Journal Search System Integrated
with AI Chatbot Using Personal Extreme Programming Method

Alfino Putra Laksana

This study aims to design and develop a web-based journal search system integrated with an AI
chatbot to assist UHAMKA students in finding journals based on study programs and course
lecturers, as well as to accelerate their understanding of journal content. The development method
employed is Personal Extreme Programming (PXP), which consists of iterative stages, utilizing
Laravel as the backend framework and Flowise AI as the chatbot platform. Testing results indicate
that the system successfully meets user needs. Out of 41 respondents, 34 (82.9%) strongly agreed
and 7 (17.1%) agreed that the system helps them find relevant journals, resulting in 100% stating
the system is effective. Regarding the AI chatbot feature, 27 respondents (65.9%) strongly agreed
and 14 respondents (34.1%) agreed that it helps them better understand journal content, meaning
all 41 respondents found the chatbot beneficial. These findings demonstrate that the developed
system enhances the efficiency of journal searching and significantly supports the learning process.

Keywords: Journal Search, AI Chatbot, Personal Extreme Programming, Laravel, Flowise AI, UHAMKA.