Perancangan Sistem Monitoring Material Handling Equipment Mendukung Data-Driven Decision Berbasis Metodologi Design Science Research

Raditya Putri Angelita, Dr. Irkham Huda, S.Kom., M.Cs.

2026 | Tugas Akhir | D4 Teknologi Perangkat Lunak

Perkembangan teknologi yang pesat menuntut perusahaan manufaktur untuk terus berinovasi dalam meningkatkan efisiensi operasional. Dalam ekosistem logistik produksi, Material Handling Equipment (MHE) otomatis seperti Autonomous Mobile Robot (AMR) berperan penting dalam mendukung kelancaran arus distribusi material. Namun, implementasinya di PT. Toyota Motor Manufacturing Indonesia (TMMIN) menghadapi kendala akibat keberagaman model MHE yang belum terintegrasi. Kondisi ini menimbulkan masalah titik buta visual (visual blindspot) pada pemantauan area indoor, ketergantungan pada pelacakan manual, serta ketiadaan dokumentasi data operasional. Pada penelitian ini dilakukan perancangan sistem monitoring MHE terpusat yang mengintegrasikan berbagai teknologi pelacakan berbasis API untuk memfasilitasi visibilitas dan mendukung pengambilan keputusan berbasis data (data-driven decision). Pengembangan rancangan dilakukan menggunakan metodologi Design Science Research (DSR), yang menghasilkan dokumen Software Requirement Specification (SRS) mencakup Entity-Relationship Diagram (ERD), Unified Modeling Language (UML), desain antarmuka (wireframe), algoritma pseudocode, dan arsitektur sistem. Evaluasi kualitas rancangan diukur menggunakan standar ISO 25010 dengan fokus pada karakteristik Functional Suitability, Usability, dan Maintainability melalui Expert Judgment dan pengujian oleh praktisi pengembang perangkat lunak. Hasil evaluasi menunjukkan adanya peningkatan kualitas rancangan, di mana persentase kelayakan pada Expert Judgment iterasi pertama sebesar 74,17% ("Layak") dan meningkat menjadi 92,50% pada iterasi kedua. Hasil pengujian oleh tim praktisi pengembang perangkat lunak juga memperoleh persentase 90,67%, yang secara keseluruhan mengklasifikasikannya dalam kategori "Sangat Layak". Rancangan sistem ini terbukti mampu memfasilitasi pemetaan 3D secara aktual, mengalkulasi metrik performa pada analytical dashboard, mendeteksi abnormalitas, serta mendukung tata kelola data (asset management). Penelitian ini diharapkan dapat menjadi acuan teknis bagi perusahaan dalam mengimplementasikan platform logistik yang efisien.

Rapid technological development demand manufacturing companies to continuously innovate in improving operational efficiency. In the production logistics ecosystem, automated Material Handling Equipment (MHE) such as Autonomous Mobile Robots (AMRs) plays a crucial role in ensuring the smooth flow of material distribution. However, its implementation at PT. Toyota Motor Manufacturing Indonesia (TMMIN) faces limitations due to the diversity of unintegrated MHE models. This situation creates indoor visual blind spots, a reliance on manual tracking, and a lack of operational data documentation. This study designed a centralized MHE monitoring system that integrates various API-based tracking technologies to facilitate visibility and support data-driven decision. The design development was carried out using the Design Science Research (DSR) methodology, which produced a Software Requirements Specification (SRS) document covering an Entity-Relationship Diagram (ERD), Unified Modeling Language (UML), interface design (wireframe), pseudocode algorithms, and system architecture. Design quality was evaluated using the ISO 25010 standard, focusing on Functional Suitability, Usability, and Maintainability through Expert Judgment and developer testing. The evaluation results show an improvement in design quality, with the feasibility percentage in the first iteration of Expert Judgment at 74.17% (“Feasible”) and increasing to 92.50% in the second iteration. The Software Development Practitioner’s testing achieved 90.67%, classifying the design overall as “Highly Feasible” category. This system has proven capable of facilitating real-time 3D mapping, calculating performance metrics on an analytical dashboard, detecting anomalies, and supporting asset management. This research is expected to serve as a technical reference for companies implementing efficient logistics platforms.

Kata Kunci : Sistem Monitoring, Material Handling Equipment, Design Science Research, Data-Driven Decision, ISO 25010