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Jurnal Optimalisasi
Published by Universitas Teuku Umar
ISSN : 24775479     EISSN : 25020501     DOI : https://doi.org/10.35308/jopt
Core Subject : Engineering,
Control & Systems Engineering Industrial & Manufacturing Engineering
JURNAL OPTIMALISASI (JOPT) merupakan jurnal elektronik online yang diterbitkan oleh Program studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar. JOPT memuat kajian dibidang Manufaktur, Ergonomi dan Manajemen Rantai Pasok. Tujuan penerbitan jurnal optimalisasi adalah sebagai wadah publikasi yang mewadahi kebutuhan peningkatan kualitas karya ilmiah dalam rangka pengembangan keilmuan dan menyebarluaskan kajian bidang ilmu Teknik Industri, sekaligus sebagai wahana komunikasi diantara cendekiawan, praktisi, mahasiswa dan pemerhati masalah Industri. JOPT terbit dua kali dalam setahun, tepatnya pada bulan April dan Oktober. Bagi pembaca, penulis, dan yang melakukan akses situs jurnal yang ingin submit naskah ke jurnal ini, silakan mendaftar sebagai author kemudian login untuk submit naskah. Informasi penulisan dan submit naskah dapat diakses di author guidelines dengan mengikuti pentunjuk di situs jurnal.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 13 Documents
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Search results for , issue "Vol 12, No 1 (2026): April" : 13 Documents clear
Pendekatan Metode AHP untuk Pemilihan Vendor Transportasi di CV. MJ Yusuf, Muhammad Hafidz; Rosyidi, Moh. Ririn; Muzakki, M. Ajir
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.13757

Abstract

CV. MJ is a company engaged in the processing of one of the materials used as a mixture for fertilizer factories, namely minerals in the form of clay. Researcher observations conducted at CV.MJ found problems related to vendor partners, namely: late delivery from the time agreed by both parties, price discounts imposed by vendor partners, the quality of the transportation fleet from vendor partners, and services provided by vendor partners that are not optimal. Based on these problems, this study aims to select a transportation vendor using the AHP method. The decision-making method with AHP is basically this technique breaks down complex problems into a hierarchy, then gives priority to various options and criteria and determines the decision choice based on the highest weight. In this study, several criteria were used, namely cost, timeliness, guarantee of security of goods, and infrastructure of the transportation fleet. The results of this study show each weight on these criteria, namely cost of 0.26, timeliness of 0.14, guarantee of security of goods of 0.53, and infrastructure of the transportation fleet of 0.06. Of these criteria, the one with the highest weight is the guarantee of security of goods of 0.53. The assessment results show that transportation vendor partners at CV.MJ have a higher weight. MJ has SD Trans with a weight of 0.42, Piter Logistic with a weight of 0.14, Aris Trans with a weight of 0.19, and Geci Express with a weight of 0.26. Based on the weight assessment, SD Trans has the highest weight, with a score of 0.42. The researcher's recommendation for CV.MJ is to choose SD Trans as a priority vendor partner because it has the highest weight among CV.MJ's transportation vendor partners.
Analisis Distribusi Risiko Rantai Pasok Kopi Organik Gayo Menggunakan Pendekatan Indeks Risiko Saputra, Arie; Djatna, Taufik
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.15246

Abstract

This study aims to analyze risk in the organic coffee supply chain by examining the level and distribution of risk across key actors. The scope of the research covers upstream to downstream participants, including farmers, collectors, processors, and cooperatives. A quantitative approach was employed using a risk index model that integrates probability and consequence to measure risk exposure at each stage of the supply chain. Data were collected through field surveys, interviews, and secondary sources, and subsequently analyzed to generate comparative risk values among actors. The results indicate that risk is unevenly distributed, with farmers at the upstream level exhibiting the highest risk index (approximately 0.32), while downstream actors such as cooperatives show relatively lower risk levels (around 0.14). The dominant risks are associated with production uncertainty, quality variability, and price fluctuations, which disproportionately affect upstream actors. These findings demonstrate that risk characteristics are strongly influenced by the structural position and functional role of each actor within the supply chain. In conclusion, the study highlights that supply chain risk analysis should not only focus on identifying and measuring risk magnitude but also on understanding its distribution across actors to provide a more comprehensive assessment of system vulnerability.
Reduksi Risiko Musculoskeletal Disorders pada Proses Packing di Industri Garmen Paganta, Dioren Tri; Indrianti, Efie; Sarvia, Elty
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14848

Abstract

Musculoskeletal disorders (MSDs) remain one of the major issues in manufacturing industries that still rely on manual work, including the textile and garment sectors. The large-scale packing process is often perceived as a simple activity; however, in practice, it involves non-neutral working postures, manual lifting of heavy loads 16–18 kg, and repetitive movements, which increase the risk of MSDs. This study aims to identify the level of postural risk in the large-scale packing process at PT. HX and to design and implement an ergonomic assistive device as an effort to reduce MSD risks. Postural evaluation was conducted on 14 main activity scenarios using the Rapid Entire Body Assessment (REBA) method. The results showed that 92.86% of activities fell into medium to very high-risk categories, with the highest REBA score reaching 11. Further analysis using fishbone diagrams and the 5 Whys method identified that work methods and facility design were the dominant factors contributing to the high ergonomic risk, particularly due to the use of pallets at low working heights (±14 cm) and the absence of ergonomic assistive devices. Based on these findings, an Ergonomic Adjustable Packing Table was designed and implemented, featuring a height-adjustable mechanism using a pneumatic spring and a roller conveyor system with an inclination of approximately 7°. Post-implementation evaluation indicated that no activities remained in the medium to very high-risk categories (0%), and the maximum REBA score decreased from 11 to 2. The number of work activities was also reduced from 14 to 5 ( 64.3% reduction) due to the elimination of high-risk manual handling tasks. In addition, the cycle time for the packing process decreased significantly from 188.04 seconds to 92.15 seconds (an efficiency improvement of 51.0%). These results demonstrate that an ergonomic approach based on postural improvement and assistive device design is effective in enhancing safety, comfort, and work efficiency in large-scale packing processes.

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