Perancangan Sistem Pengukuran Kinerja Distribusi Pada Transportation Management System PT XYZ

Abstract

PT XYZ masih menghadapi kendala dalam pengukuran kinerja distribusi karena data operasional tersebar pada berbagai sistem, perhitungan indikator masih dilakukan secara manual, dan informasi kinerja belum terintegrasi. Penelitian ini bertujuan merancang Sistem Pengukuran Kinerja Distribusi sebagai subsistem pada Transportation Management System (TMS) menggunakan pendekatan design thinking dan Model-Based Systems Engineering (MBSE). Perancangan dilakukan melalui performance measurement engineering, requirement engineering, dan perancangan sistem. Hasil penelitian menghasilkan sistem yang terdiri atas KPI calculation and analytics engine, dashboard analytics, dan report export untuk mengotomatisasi perhitungan KPI dan menyajikan informasi kinerja secara real-time. Hasil verifikasi menunjukkan seluruh kebutuhan sistem terpenuhi, sedangkan User Acceptance Testing (UAT) memperoleh nilai rata-rata 4,06 dari skala 5. Penelitian ini menghasilkan pendekatan rekayasa yang mendukung pengambilan keputusan distribusi berbasis data.

PT XYZ faces challenges in measuring distribution performance because operational data are fragmented across multiple systems, performance indicators are still calculated manually, and performance information is not integrated. This study aims to design a Distribution Performance Measurement System as a subsystem of the Transportation Management System (TMS) using Design Thinking and Model-Based Systems Engineering (MBSE) approaches. The system was designed through Performance Measurement Engineering, Requirement Engineering, and system design. The proposed system consists of a KPI Calculation and Analytics Engine, Dashboard Analytics, and Report Export, enabling automated KPI calculation and real-time distribution performance reporting. Verification confirmed that all system requirements were fulfilled, while User Acceptance Testing (UAT) achieved an average score of 4.06 out of 5. This study proposes an engineering approach that supports data-driven distribution decision-making.