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Journal : Jurnal Optimalisasi

Analisis Postur Kerja Proses Manual Material Handling pada Penggilingan Padi di UD. XYZ Arifin, Riski; Saputra, Rizki Agam; Lufika, Raihan Dara; Qadrinadia, Ivana; Novianda, Dinda; Sulaeman, Sarah
Jurnal Optimalisasi Vol 8, No 1 (2022): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v8i1.5270

Abstract

Manual material handling (MMH) merupakan suatu kegiatan memindahkan beban yang dilakukan oleh tubuh secara manual. Salah satu contoh dari pekerjaan manual material handling dilakukan pada industri penggilingan padi. Pekerja penggilingan padi akan berpotensi menimbulkan risiko terhadap bahaya fisik dalam hal keluhan nyeri punggung, bahu, lengan dan kaki atau dikenal dengan musculoskeletal disorders. Tujuan penelitian ini adalah menganalisis postur tubuh pekerja pada saat melakukan manual material handling dan menilai apakah postur kerja yang dilakukan oleh pekerja dapat menimbulkan risiko terjadinya musculoskeletal disorders atau tidak. Metode yang digunakan pada penelitian ini adalah Rapid Uper Limb Assessment (RULA) dan Rapid Entire Body Assessment (REBA) kedua metode tersebut merupakan evaluasi cepat yang digunakan untuk menilai suatu pekerjaan memiliki risiko gangguan sistem otot-rangka. Hasil yang diperoleh dengan menggunakan kedua metode menunjukkan bahwa hampir seluruh kegiatan yang didokumentasikan pada penelitian ini memiliki tingkat risiko yang cukup tinggi dan berbahaya sehingga dapat menimbulkan gangguan muculoskeletal bagi pekerjanya. Rata-rata score REBA adalah 9 dan rata-rata score RULA adalah 7, dimana kedua score ini sudah termasuk dalam risk level high. Oleh karena itu, perlu diadakan perbaikan dan perubahan pada tata cara kerja untuk mencegah terjadinya musculoskeletal disorders pada pekerja penggilingan padi di UD. XYZ.
Implementasi Linier Programming Modelling untuk Maksimasi Profit Penjualan Produk Seblak pada UD. XYZ di Aceh Barat Arrazy Elba Ridha; Ulfa Syahputri; Habib Satria; Adib Adib; Fuad Dwi Hanggara; Rizki Agam Syahputra; Abdiel Khaleil Akmal
Jurnal Optimalisasi Vol 9, No 2 (2023): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v9i2.8491

Abstract

Seblak is a food that has seen an increase in demand in recent years, and is a promising culinary business that can be run with a small capital. UD. XYZ is a seblak business that started selling seblak in early 2022 in West Aceh and wants to maximize the profits from its seblak sales. One method that can do this is Linear Programming, which can determine decision-making that can group limited materials or resources to achieve an optimal or best solution. From UD. XYZ's weekly sales data, it can be transformed into a mathematical model that helps to find the maximum function of the profit from seblak sales. The linear programming calculation process in this study uses the Lingo 18.0 software to solve linear programming problems, which will be continued with the linear graph visualization of the objective function with the MATLAB software. The results of the study show that the maximum profit that will be obtained by UD. XYZ in one week is Rp. 420,000/week, this profit is already categorized as net profit that can be used for the development of UD. XYZ's seblak business. Of the three variables X1 (seblak noodles and crackers), X2 (seblak eggs), and X3 (seblak chicken/feet), variables X1 and X2 have the potential to increase maximum profit if increased. In this study, the objective point is also on the point axis (X1=0, X2=0, and X3 = 175).
Partnership Modelling of Entrepreneurial, Digital and Performance Competencies among Coffee SME’s in Bener Meriah Regency Muhammad Reza Aulia; Rizki Agam Syahputra
Jurnal Optimalisasi Vol 9, No 2 (2023): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v9i2.8515

Abstract

The current initiative on SMEs development suggest that effective partnership programs play a pivotal role in enhancing SME competitiveness. However, current research in the area of partnership programs, specifically their impact on SMEs performance, remains limited. Therefore, partnerships need to be examined with an emphasis on moderator variables to assess their impact on various aspects. This research presents an objective to determine a partnership program impact on SME performance. To fully understand the dynamic of the study, this research propose a Partnership Program model consists of three exogenous variables: Entrepreneurial Competence (KK), Partnership Program (PK), and Digital Competence (KD), and one endogenous variable: SME Business Performance. To analyse the data in the research, this research employs the Partial Least Square (PLS) analysis method. The PLS model is utilized to examine and determine the extent of influence among variables. The research population comprises 88 coffee-based SMEs participating in a partnership program in Bener Meriah Regency. The result of this research indicates that the significance test for the relationships within the Structural Model reveals strong statistical significance among various research parameters. Notably, the impact of digital competence (KD) on SMEs performance (KB) demonstrates the most robust relationship, with a substantial Std Beta value of 0.902. This pattern is consistent with the perspective of partnership programs (PK), where it exhibits significant effects on SMEs performance (KB) (0.429), digital competences (KD) (0.294), and entrepreneurial competences (KK) (0.451).