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PERANCANGAN MOBILE WEB BENGKEL MOBIL MIZU PONTIANAK Sofiani, Sendy; David; Kosasi, Sandy; Gat; Margaretha Kuwai, Susanti
Jurnal TIMES Vol 13 No 2 (2024): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.13.2.2024789

Abstract

Merancang dan mengimplementasikan sistem informasi berbasis mobile web di Bengkel Mobil Mizu, yang berlokasi di Kubu Raya, menggunakan framework Laravel dan Bootstrap. Sistem ini dirancang untuk menggantikan proses manual yang selama ini digunakan dalam pengelolaan layanan, pemesanan, serta pengelolaan inventaris bengkel. Proses manual sering menyebabkan ketidakefisienan dan keterlambatan dalam memberikan layanan kepada pelanggan, sehingga diperlukan solusi digital yang dapat meningkatkan kualitas layanan. Metode yang digunakan dalam penelitian ini adalah Design Science Research (DSR), yang terdiri dari enam tahap, mulai dari identifikasi masalah hingga evaluasi dan demonstrasi sistem. Pengembangan sistem menggunakan metode Extreme Programming (XP) untuk mempercepat proses pengembangan melalui iterasi pendek. Sistem yang dikembangkan diuji menggunakan metode White Box Testing untuk memastikan bahwa semua jalur dalam sistem berfungsi dengan baik. Hasil evaluasi menunjukkan bahwa penerapan mobile web ini berhasil meningkatkan efisiensi operasional bengkel, mengurangi kesalahan pencatatan, dan mempermudah pelanggan dalam mengakses layanan bengkel secara online. Dengan demikian, sistem ini diharapkan dapat memberikan solusi yang efektif untuk memenuhi kebutuhan pelanggan dan mendukung pertumbuhan bisnis Bengkel Mobil Mizu.
Evaluasi Performa Otomatisasi Skema Basis Data Dengan Model dan Migrasi Django Dalam Aplikasi Proyek Akhir Gat; Prasetya, Wahyu Sindu; Wibowo, Vellen
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.2.2025.270-284

Abstract

Effective management of database schemas is essential to ensure the scalability, performance, and integrity of academic applications. However, for systems with complex entities and large volumes of data, the use of framework-based schema automation remainsrelatively untested. Examiner, Guidance, Evaluation, Final Project, Lecturer, and Student are the six main entities that make up the final project management application, and the purpose of this study is to assess how well Django's models and migration tools can automate database schemas for this application. The case study methodology was used on two linked datasets with 1,000 and 10,000 entries, respectively. During the stages of installation, testing, and analysis, a descriptive-analytical approach was employed. Unit, functional, integration, and performance tests were conducted using MariaDB, Django 5.1.2, and a digital stopwatch. For the dataset with 1,000 entries, the read operation averaged 0.00010 seconds, the update operation 0.00439 seconds, and the delete operation 0.00124 seconds. The results demonstrate that the models remain consistent, migrations proceed smoothly, and all CRUD operations are completed with an effective average time. For the dataset containing 10,000 entries, the average operation times were 0.00045 seconds per operation, 0.00013 seconds for reads, 0.04535 seconds for updates, and 0.00345 seconds for deletions. In summary, Django can be effectively applied to large-scale academic applications, as it consistently and efficiently automates complex database schemas.
Co-Authors david Margaretha Kuwai, Susanti Prasetya, Wahyu Sindu Sandy Kosasi Sofiani, Sendy Wibowo, Vellen