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Journal : Serambi Engineering

Identifikasi Potensi Bahaya Pada UKM Tahu dengan Metode Hazard Identification and Risk Assessment Sebagai Langkah Penerapan Manajemen K3 Achmad Samudera Dewantara; Nia Sastra Permata; Sherin Ramadhania
Jurnal Serambi Engineering Vol. 10 No. 2 (2025): April 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The implementation of Occupational Health and Safety (OHS) management reflects a business owner's commitment to protecting workers' health and safety. One key step in implementing OHS is identifying and mapping potential workplace hazards. In small and medium enterprises (SMEs) producing tofu, such hazards often arise during the production process. The HIRA (Hazard Identification and Risk Assessment) method is used for hazard mapping because it systematically identifies hazard locations and critically analyzes risk levels. This study was conducted at a tofu SME in Krajan, Surakarta, and identified several potential hazards categorized into four groups: hazards from the work environment, production materials, unsafe equipment, and production waste. The analysis revealed five high-risk hazards and four moderate-risk hazards. Through hazard mapping, business owners are expected to take preventive measures to minimize or eliminate exposure to these risks. This ensures worker health and safety while maintaining a smooth and uninterrupted production process.
Penentuan Rute Pelayaran Kapal Tramp: Integrasi Kecepatan Optimal, Displacement Kapal, dan Pemilihan Pelabuhan Pangkal Suroso, Muhammad; Sherin Ramadhania; Nia Sastra Permata; Achmad Samudra Dewantara; Dian Fajarika
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

PT XYZ is a shipping company that operates in the ad hoc and short-term contract (spot charter) market. The company faces challenges in selecting the most profitable cargo offers and in managing fuel consumption in order to maximise profits and minimise operational costs. This study aims to develop a mathematical model that optimises revenue through optimal cargo selection, while simultaneously minimising operational costs, including fuel consumption for the main and auxiliary engines. The model is based on the actual conditions of the company's fleet and focuses on tramp general cargo services operating under less-than-shipload (LTS) conditions. In addition to addressing fuel management, the study covers fleet routing, vessel allocation and port docking considerations. The proposed model uses a mixed integer nonlinear programming (MINLP) approach to optimise variables such as sailing speed, ship displacement and the sequence of port visits. Feasibility analysis using real fleet data and hypothetical cargo offers indicates that the model consistently produces viable solutions. Sensitivity analysis of key parameters within a variation range of -50% to +50% from their nominal values confirms that the model's outputs remain within acceptable bounds.