Suwitno Witno, Suwitno
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Perancangan Aplikasi Prediksi Kelulusan Mahasiswa Tepat Waktu Pada Universitas Buddhi Dharma Menggunakan Perbandingan Algoritma C4.5 dan K-NN Witno, Suwitno
Tech-E Vol 1 No 1 (2017): Tech-E
Publisher : BSTI

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Abstract

Koleksi data pada database sistem informasi akademik Perguruan Tinggi sering tidak dimanfaatkan secara maksimal, padahal dari data tersebut dengan teknik data mining dapat memberikan pengetahuan yang belum diketahui sebelumnya. Tujuan dalam penelitian ini yaitu mengetahui cara membentuk model prediksi tingkat kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma Tangerang melalui data kelulusan mahasiswa. Evaluasi kinerja klasifikasi dilakukan untuk mengetahui seberapa baik keakuratan dari suatu model yang terbentuk dengan perbandingan algoritma C4.5 dan K-NN. Pengujian dilakukan dengan Confusion Matrix dan kurva ROC. Hasil akurasi yang diperoleh membuktikan bahwa Algoritma C4.5 menghasilkan persentase akurasi 90%  dan K-NN menghasilkan persentase akurasi 87%. Dengan demikian algoritma C4.5 memiliki nilai akurasi lebih tinggi dibanding K-NN. Algoritma C4.5 ini dapat digunakan untuk pembuatan aplikasi prediksi kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma.
Implementation of Web-based Electrical Appliance Installation Monitoring: TAM Testing Approach Suthirta, Kev Michael; Witno, Suwitno
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4572

Abstract

The development of technology in the business world can have a positive impact, simplifying the way companies manage their operations and improving business performance through the implementation of systems. A web-based information system for monitoring activities within the company was designed using the Laravel Framework to address inefficiencies in the current manual monitoring process. The existing system requires on-site visits for monitoring and uses paper-based reporting, which is inefficient, prone to disorganized or lost reports, and time-consuming. The proposed solution is the development of a system using the Laravel framework and the Waterfall methodology. The system design was evaluated using the Technology Acceptance Model (TAM), focusing on three variables: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioral Intention to Use (BITU). The evaluation process involved three stages: determining the variables, defining indicators, and creating a questionnaire. A total of 54 questionnaires were distributed and processed using the SmartPLS4 application. The results revealed that perceptions of the system's ease of use significantly influence users' behavior to continue using the Web-Based Monitoring System for Electrical Equipment Installation. Additionally, the perceived ease of use impacts the perception of the system's usefulness, and the perception of usefulness also affects users' behavioral intention to repeatedly use the system.