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Optimalisasi Pengendalian Persediaan Bahan Baku untuk Meminimalkan Biaya Persediaan Menggunakan Metode Economic Order Quantity (EOQ) di PT XYZ Widyantika, Wandah; Purnama, Jaka
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11569

Abstract

Delays and shortages of raw materials in the plastic bag production process can disrupt production activities and increase the company’s operational costs. This study aims to analyze the application of the Material Requirements Planning (MRP) method in raw material planning to ensure that material availability is fulfilled in the right quantity and at the right time. The research process begins with demand forecasting, followed by the application of the Economic Order Quantity (EOQ) method to determine the optimal raw material order quantity in order to control inventory costs efficiently. In addition, an analysis of operational losses caused by one hour of production idle time was conducted using a loss profit approach based on income and company expenses. The results show that the implementation of the EOQ method generated total inventory costs of Rp216,740,485, indicating that the method is effective for application in PT XYZ. The idle time analysis revealed total labor losses of Rp256,200.87, consisting of income losses of Rp239,488.61 and company expenses of Rp16,712.26. These findings indicate that delays in raw material supply not only hinder the production process but also lead to operational losses because the company must continue to incur labor costs during production idle time.
Analisis Beban Kerja pada Lini Produksi Menggunakan Metode Cardiovascular Load dan Work Load Analysis Hidayati, Evi; Purnama, Jaka
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11572

Abstract

The study was conducted at PT XYZ, a manufacturing company engaged in the production of yarn using a make-to-stock production system. The problem faced by the company is the failure to achieve consistent production due to suspected imbalances in operator workloads at several workstations. This study aims to analyze operator workload levels and determine optimal workforce requirements using the Cardiovascular Load (CVL) and Work Load Analysis (WLA) methods. The CVL method was used to determine the workload levels experienced by operators, derived from work heart rate and resting heart rate, while WLA was used to calculate the optimal number of operators based on working time. Research data was obtained through direct observation, work time measurements, and measurements of operators’ heart rates during the production process. The results indicate the presence of operators with high workload levels as well as an imbalance in the number of workers at several workstations, resulting in the production process not yet operating optimally. Therefore, adjustments to the number of workers and a more balanced division of labor are necessary to improve the company’s productivity.
Analisis Perencanaan Kapasitas Produksi Menggunakan Metode Rough Cut Capacity Planning (RCCP) untuk Mencapai Target Produksi Benang Plastik Polypropylene (PP) pada Line Lohia 1 Agustina, Nur Hayati; Purnama, Jaka
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11632

Abstract

PT XYZ is a manufacturing company that produces Polypropylene (PP) plastic yarn as raw material for woven bags and jumbo bags. The problem on the Lohia 1 Line is that the production target of 17,000 kg/day has not been achieved because the available production capacity does not meet production requirements. This study aims to analyze the suitability between capacity requirements and available production capacity using the Rough Cut Capacity Planning (RCCP) method. The research used data from the 2025-2026 period through demand forecasting, preparation of the Master Production Schedule (MPS), Bill of Resources calculation, and preparation of an RCCP report comparing actual capacity requirements with available capacity. The results show that the available production capacity is unable to meet capacity requirements in all twelve planning periods (under-capacity condition). The highest capacity requirement occurred in September 2026 at 635.33 hours, while the available capacity was only 446.62 hours, resulting in a capacity shortage of 188.71 hours. Capacity adjustment is needed through downtime reduction, improved machine effectiveness, and additional operating hours to support the achievement of production targets.
Co-Authors Agustina, Nur Hayati Akbar, Muhammad Ghany Alvianto, Deny Nur Antoni, Darius Bain Khusnul Khotimah Budi Witjaksana, Budi Clarita, Shindy Angel Eko Pramono Eza Rahmanita Febyyanti , Nurul Hardianto, Kresna Frantiarno Hartono, Moh Arief Andri Hendra Effendi Hidayati, Evi Istantyo Yuwono, Istantyo Juwandono, Joko Tri Kisawa, Musthofa Korib, Fatkhan Krishartanto, Riski Lingardi Wiratama Lutfi, Moh Ali Mayah, Vivi Melani, Yayuk Ike Muchtar, Muhammad Muhamad Akbar Munir Munir, Munir Nuha, Hilyatun Nur Rizka Athirah Nurdiyanton, Nurdiyanton Permana, Midi Agus Pratama, Agit Septian Pridase, Figo Purnama, Rieza Rijky Raimundo, João Ridwan, Ridwan Setiawati, Nadila Dwi Vivi Mayah Wibisono, Satria Abdi Widyantika, Wandah Wulandari , Esti Yayuk Ike Meilani Yayuk Ike Melani Yayuk Ike Melani Yeni Kustiyahningsih Zain, Badrus Sibyan Zainal Arief