Anak Agung Alit Triadi
Universitas Mataram

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MANAJEMEN PROYEK COLD STORAGE MANGGIS DI LINGSAR: PROJECT MANAGEMENT ON MANGOSTEEN COLD STORAGE IN LINGSAR Sujud Alfanza Jihad; Is Bunyamin Suryo; Anak Agung Alit Triadi
Energy, Materials and Product Design Vol. 4 No. 1 (2025): Energy, Materials and Product Design
Publisher : Jurusan Teknik Mesin dan Industri, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/empd.v4i1.6247

Abstract

Mangosteen is the largest export commodity in the Lingsar sub-district, West Lombok district, West Nusa Tenggara. In addition to being sold in the local market, mangosteen in the Lingsar area is also exported to foreign countries such as China, the United Arab Emirates, and countries in Europe. One of the mangosteen exporters in the West Lombok area is PT BAS which has a warehouse as well as an operational location to store and manage mangosteen to be exported. To maintain the temperature of mangosteen, PT BAS uses Cold Storage to store harvested mangosteen for storage before being packaged and exported. The distribution is useful to maintain the content in mangosteen fruit so that it does not rot because it is stored in a closed room. So that mangosteen is ready for export This aims to maintain the quality of the stored mangosteen so that it is ready for export. Therefore, for cost and time efficiency, it is important to apply the design and simulation method to Cold Storage to find out the incoming levels and the company owner can monitor in real time the condition of the mangosteen stored in it.
SIMULASI PENERAPAN METODE TOPSIS UNTUK PENENTUAN PRIORITAS PERBAIKAN ERGONOMI: STUDI KASUS BERBASIS SIMULASI DATA Fikrihadi Kurnia; Anak Agung Alit Triadi
Energy, Materials and Product Design Vol. 5 No. 1 (2026): Energy, Materials and Product Design
Publisher : Jurusan Teknik Mesin dan Industri, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/empd.v5n1.323-330

Abstract

Conventional ergonomic risk evaluations in the manufacturing industry are generally focused solely on posture severity, often leading to management rejecting improvement recommendations due to operational cost and time constraints. This study aims to demonstrate the application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to resolve multi-criteria conflicts between worker safety and corporate financial efficiency. A quantitative descriptive approach was used through data simulation on five alternative workstations evaluated against five criteria: REBA score, NBM score, estimated cost, implementation time, and expected productivity targets. The relative closeness distance computation resulted in the Cutting Station as the main priority for intervention with a preference value of 0.627. This alternative outperformed the Assembly Station (0.463), which actually possessed the highest absolute hazard but demanded the most expensive improvement costs and the longest production downtime. In conclusion, the integration of the TOPSIS algorithm proved effective in transforming hazard assessment metrics into rational investment decisions. This mathematical modeling provides a strategic guide for executive management in designing workspace improvement roadmaps that ensure workers' biological health while maintaining corporate cash flow sustainability.