RANCANG BANGUN SISTEM INFORMASI PENERIMAAN MAHASISWA BARU BERBASIS WEB TERINTEGRASI AI CHATBOT SEBAGAI LAYANAN HELPDESK

Rahmat, Kausar (2026) RANCANG BANGUN SISTEM INFORMASI PENERIMAAN MAHASISWA BARU BERBASIS WEB TERINTEGRASI AI CHATBOT SEBAGAI LAYANAN HELPDESK. Diploma thesis, UIN RADEN INTAN LAMPUNG.

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Abstract

ABSTRAK Penelitian ini bertujuan merancang, membangun, dan menguji kelayakan Sistem Informasi Penerimaan Mahasiswa Baru (PMB) berbasis web terintegrasi AI Chatbot sebagai layanan helpdesk pada Alifa Institute. Permasalahan penelitian berangkat dari proses PMB yang sebelumnya menggunakan Blogspot dan Google Form, sehingga data belum terpusat, rekapitulasi masih semi-manual, serta layanan informasi belum tersedia otomatis selama 24 jam. Metode penelitian menggunakan Research and Development yang dipadukan dengan model Waterfall. Sistem dikembangkan menggunakan PHP Native, MySQL, Bootstrap 5, JavaScript, AJAX, PHPMailer, Dompdf, dan Groq API dengan model Llama-3.3-70b-versatile. Kebaruan penelitian terletak pada integrasi sistem PMB one gate system dengan AI Chatbot berbasis knowledge base, prompt engineering, dan context retrieval yang mampu membedakan layanan tamu dan mahasiswa login berdasarkan status pendaftaran. Hasil pengujian menunjukkan 35 skenario ahli sistem dan 36 skenario ahli materi seluruhnya valid dengan keberhasilan 100%. sedangkan uji pengguna memperoleh persentase kelayakan 95,86% dengan kategori sangat layak. Sistem berkontribusi dalam memperkuat layanan PMB digital yang responsif, terpusat, dan kontekstual. Kata kunci: AI Chatbot, Helpdesk, One Gate System, Penerimaan Mahasiswa Baru, Sistem Informasi Web. ABSTRACT This study aims to design, develop, and evaluate the feasibility of a web based New Student Admission Information System integrated with an AI Chatbot as a helpdesk service at Alifa Institute. The research problem stems from the previous admission process that relied on Blogspot and Google Forms, resulting in non-centralized data, semi-manual recapitulation, and the absence of 24-hour automated information services. The study applied Research and Development integrated with the Waterfall model. The system was developed using PHP Native, MySQL, Bootstrap 5, JavaScript, AJAX, PHPMailer, Dompdf, and the Groq API with the Llama-3.3-70b-versatile model. The novelty of this study lies in integrating a one gate system admission portal with an AI Chatbot supported by a knowledge base, prompt engineering, and context retrieval that distinguishes guest and logged-in student services based on admission status. The results show that 35 system-expert scenarios and 36 content-expert scenarios were valid, each reaching 100% success. while user testing achieved a feasibility score of 95.86%, categorized as highly feasible. The system contributes to a responsive, centralized, and contextual digital admission service. Keywords: AI Chatbot, Helpdesk, New Student Admission, One Gate System, Web-Based Information System.

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