IMPLEMENTASI DATA ENVELOPMENT ANALYSIS (DEA) UNTUK ANALISIS EFISIENSI KENDARAAN PADA RANCANG BANGUN SISTEM MANAJEMEN ARMADA DI PT. FESA ANTARAN LOGISTIK

IMPLEMENTATION OF DATA ENVELOPMENT ANALYSIS (DEA) FOR VEHICLE EFFICIENCY ANALYSIS IN THE DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM AT PT. FESA ANTARAN LOGISTIK

Sektor logistik Indonesia masih menghadapi tantangan efisiensi operasional akibat proses pengelolaan armada yang belum terintegrasi dan dominasi pencatatan manual. Kondisi tersebut menyebabkan perusahaan sulit melakukan evaluasi performa kendaraan secara objektif, terutama dalam menghubungkan biaya operasional dengan hasil yang dicapai. Penelitian ini mengembangkan Sistem Manajemen Armada berbasis web yang dilengkapi modul analisis efisiensi menggunakan Data Envelopment Analysis (DEA) model BCC (Variable Returns to Scale) berorientasi input. Sistem dibangun dengan framework Laravel, MySQL sebagai basis data, serta integrasi Python untuk menjalankan optimasi DEA secara on-demand berdasarkan periode dan kendaraan yang dipilih. Metode pengembangan yang digunakan adalah Waterfall Software Development Life Cycle (SDLC), meliputi analisis kebutuhan, perancangan, implementasi, hingga pengujian. Variabel DEA terdiri dari satu input berupa total biaya operasional kendaraan dan dua output berupa jarak tempuh serta pendapatan. Hasil perhitungan menghasilkan skor efisiensi, unit pembanding (peers), serta rekomendasi pengurangan biaya bagi kendaraan dengan tingkat efisiensi rendah. Pengujian menggunakan Black-Box Testing menunjukkan bahwa seluruh fungsi utama, termasuk proses pengelolaan data dan eksekusi analisis DEA, berjalan sesuai spesifikasi. Penelitian ini menghasilkan platform terintegrasi yang mampu meningkatkan akurasi dan kecepatan evaluasi efisiensi kendaraan di PT. Fesa Antaran Logistik. Selain memberikan manfaat praktis bagi perusahaan, sistem ini juga menawarkan model implementasi DEA yang aplikatif untuk mendukung digitalisasi dan pengambilan keputusan berbasis data dalam industri logistik di Indonesia.

Kata Kunci: Data Envelopment Analysis, DEA BCC, Efisiensi Kendaraan, Sistem Manajemen Armada, Laravel, Python, Waterfall SDLC, Black-Box Testing, Logistik.

Indonesia’s logistics sector continues to face operational efficiency challenges due to non-integrated fleet management processes and the dominance of manual record-keeping. These conditions hinder companies from objectively evaluating vehicle performance, particularly in assessing the relationship between operational costs and the outcomes achieved. This research develops a web-based Fleet Management System equipped with an efficiency analysis module using the Data Envelopment Analysis (DEA) method, specifically the input-oriented BCC (Variable Returns to Scale) model. The system is built using Laravel framework, MySQL as the database management system, and Python for executing DEA optimization on-demand based on selected periods and vehicles. The development process follows the Waterfall Software Development Life Cycle (SDLC), encompassing requirement analysis, system design, implementation, and testing. The DEA model utilizes one input variable total operational costand two output variables, namely distance traveled and revenue generated by each vehicle. The analysis produces efficiency scores, peer units, and cost-reduction recommendations for vehicles with low efficiency levels. Black-Box Testing demonstrates that all core system functions, including data management and DEA execution, operate according to the defined specifications. This research delivers an integrated platform capable of improving the accuracy and speed of vehicle efficiency evaluation at PT. Fesa Antaran Logistik. Beyond practical benefits for the company, the system also provides an applicable model for implementing DEA to support digitalization and data-driven decision-making within Indonesia’s logistics industry.

Keywords: Data Envelopment Analysis, DEA BCC, Vehicle Efficiency, Fleet Management System, Laravel, Python, Waterfall SDLC, Black-Box Testing, Logistics