Penerapan Algoritma Naive Bayes Untuk Klasifikasi Kelulusan Mahasiswa STMIK Widya Cipta Dharma Berbasis Web

Pratama, Teddy Andika (2026) Penerapan Algoritma Naive Bayes Untuk Klasifikasi Kelulusan Mahasiswa STMIK Widya Cipta Dharma Berbasis Web. S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.

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Abstract

Kelulusan mahasiswa merupakan salah satu indikator penting dalam mengevaluasi keberhasilan proses pendidikan di perguruan tinggi. Proses penentuan kategori kelulusan yang masih dilakukan secara manual memerlukan waktu yang cukup lama serta berpotensi menghasilkan penilaian yang bersifat subjektif. Oleh karena itu, diperlukan suatu sistem yang mampu membantu proses klasifikasi kelulusan mahasiswa secara cepat, objektif, dan terkomputerisasi. Penelitian ini bertujuan untuk membangun sistem klasifikasi kelulusan mahasiswa berbasis web menggunakan algoritma Naive Bayes pada STMIK Widya Cipta Dharma. Metode pengembangan sistem yang digunakan adalah Waterfall, yang terdiri atas tahapan Requirements Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, serta Operation and Maintenance. Sistem dibangun menggunakan bahasa pemrograman PHP dengan basis data MySQL. Proses klasifikasi dilakukan berdasarkan lima kriteria, yaitu Indeks Prestasi Kumulatif (IPK), jumlah Satuan Kredit Semester (SKS), status pekerjaan, sumber biaya, dan status pernikahan. Hasil penelitian menunjukkan bahwa sistem berhasil dibangun dan mampu melakukan proses klasifikasi kelulusan mahasiswa berdasarkan data yang dimasukkan oleh pengguna. Berdasarkan hasil pengujian menggunakan metode Black Box Testing, seluruh fungsi pada sistem dapat berjalan sesuai dengan kebutuhan yang telah ditentukan, meliputi pengelolaan data, proses klasifikasi menggunakan algoritma Naive Bayes, penampilan hasil prediksi, serta pencetakan laporan. Dengan demikian, sistem yang dibangun dapat membantu pihak akademik dalam melakukan klasifikasi kelulusan mahasiswa secara lebih efektif dan efisien. ============================================================ Student graduation is one of the important indicators used to evaluate the success of the educational process in higher education institutions. The process of determining graduation categories that is still carried out manually requires considerable time and may lead to subjective assessments. Therefore, a computerized system is needed to support the student graduation classification process in a faster, more objective, and systematic manner. This study aims to develop a web-based student graduation classification system using the Naive Bayes algorithm at STMIK Widya Cipta Dharma. The system was developed using the Waterfall software development method, which consists of the stages of Requirements Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, and Operation and Maintenance. The application was developed using PHP as the programming language and MySQL as the database management system. The classification process is based on five criteria, namely Grade Point Average (GPA), completed credit units, employment status, source of tuition funding, and marital status. The results of this study indicate that the developed system is capable of classifying student graduation based on the input data provided by users. Based on the Black Box Testing results, all system functions operated as expected, including data management, classification using the Naive Bayes algorithm, prediction result display, and report generation. Therefore, the developed system can assist academic administrators in performing student graduation classification more effectively and efficiently.

Item Type: Thesis (S1 Teknik Informatika)
Additional Information: Pembimbing 1 : Wahyuni S.Kom., M.Kom Pembimbing 2 : Siti Lailiyah S.Kom., M.Kom
Uncontrolled Keywords: Klasifikasi Kelulusan Mahasiswa, Naive Bayes, Waterfall, Sistem Berbasis Web, PHP, MySQL.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Teknik Informatika
Depositing User: Mr Teddy Andika Pratama
Date Deposited: 07 Aug 2026 08:35
Last Modified: 07 Aug 2026 08:35
URI: http://repository.wicida.ac.id/id/eprint/6462

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