Idris, Muhammad Fakhmi (2024) PENGEMBANGAN APLIKASI PENENTUAN KENDALA SPAREPART MOTOR BERBASIS WEBSITE DENGAN IMPLEMENTASI NAÏVE BAYES. S1 thesis, Universitas Mercu Buana - Menteng.
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Abstract
CV Budi Motor merupakan perusahaan swasta di sektor jasa otomotif yang berada di Indonesia. Perusahaan ini mempunyai partnership & pelanggan yang dapat dikategorikan cukup banyak. Dalam melakukan proses bisnis, CV Budi Motor memiliki karyawan yang dalam penanganannya memperbaiki kendaran bermotor. Saat ini keluhan diterima hanya melalui mekanik atau pemilik saja, sangat sulit bagi mereka untuk menjalankan tugas administrasi tersebut lalu sang pemilik merekrut seorang admin untuk membantu pekerjaan dalam bengkel tersebut menjadi lebih efisien. Tujuan dari penelitian ini adalah membuat Merancang dan membangun sistem aplikasi berbasis web untuk sistem pengembangan perbaikan penentuan kendala sparepart motor dengan fitur informasi pengguna, Input data stok laporan barang, Input data mekanik, Data Service, Klasifikasi general masalah, Laporan transaksi. Metode yang digunakan untuk mengembangkan aplikasi ini adalah waterfall, sementara algoritma yang digunakan untuk mengklasifikasi keluhan adalah Naive Bayes Classifier. Algoritma ini diimplementasikan pada transaksi untuk mengklasifikasikan sparepart apa saja yang harus diganti ketika customer melaporkan kendala CV Budi Motor is a private company in the automotive service sector located in Indonesia. The company has numerous partnerships and customers. In its business processes, CV Budi Motor employs staff who handle the repair of motorized vehicles. Currently, complaints are only received directly from mechanics or owners, making it challenging for them to carry out administrative tasks. As a solution, the owner has recruited an admin to assist in making the workshop's operations more efficient. The aim of this research is to design and build a web-based application system for the motorbike spare part troubleshooting and development system, featuring user information, input stock data reporting, input mechanic data, service data, general problem classification, and transaction reports. The methodology used for developing this application is the waterfall model, while the algorithm used for classifying complaints is the Naive Bayes Classifier. This algorithm is implemented in transactions to classify which spare parts need to be replaced when a customer reports an issue.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41519110031 |
| Uncontrolled Keywords: | naïve bayes classifier, bengkel, klasifikasi naïve bayes classifier, bengkel, classification |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | WIDYA AYU PUSPITA NINGRUM |
| Date Deposited: | 27 Feb 2024 02:54 |
| Last Modified: | 27 Feb 2024 02:54 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/86568 |
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