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Analisis Beban Kerja Mental dan Fisik untuk Upaya Pengendalian Kelelahan di CV. XYZ Muchtar, Muhammad; Purnama, Jaka
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.52306

Abstract

CV. XYZ is a manufacturing company in East Java that produces various types of concrete, including concrete roof tiles. The contract work system with half-day work hours often causes production targets to be missed, especially for workers who excuse themselves due to illness. This condition has an a impact on increasing the pysical and mental workload using a cardiovascular load (CVL) method and the mental workload using NASA-TLX. The results show that worker 3 at the roof tile printing station 1 had that highest %CVL value, namely 70,53%, and decreased to 59,25% after improvements were made. Meanwhile, worker 4 at the roof tile printing station 2 obtained the highest NASA-TLX score of 80,33, which then decreased to 72,33. This study recommends increasing discipline in the use of PPE and placing workers according to age to improve working conditions.
Analisis Beban Kerja untuk Optimalisasi Produktivitas Tenaga Kerja pada Lini Produksi Mesin Pond (Studi kasus: UD. XYZ) Wibisono, Satria Abdi; Purnama, Jaka
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.52364

Abstract

This study analyzes workload and determines the optimal number of workers on the pond machine production line at UD. XYZ  using Workload Analysis (WLA) method and stopwatch time study. Data were collected through direct observation of 7 workers with 24 observations per work station during July-November 2025. The results show significant workload imbalance: the blade board manufacturing station experienced 446% overload, pond processes for Ivory 310, Duplex 350, and Duplex 310 were 185%, 191%, and 192% respectively, while plano paper cutting, QC cleaning, and packaging stations experienced underload below 75%. Standard time for pond processes ranged from 7.79-8.01 minutes. The study recommends adding 3 workers (total 10 people) with optimal redistribution to reduce workload to 46-111%, saving operational costs of Rp 10,368,000 per month (27%) while increasing productivity to achieve the target of 2,000 units per day.
Analisis Pengukuran Beban Kerja dan Mental Pekerja Produksi Menggunakan Metode Cardiovascular Load (CVL) dan NASA-TLX Pridase, Figo; Purnama, Jaka
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.52367

Abstract

This stuidy analyzeid thei physical and meintal workload of produiction workeirs at CV. Man Jaya uising thei Cardiovascuilar Load (CVL) and NASA-TLX meithods. Initial meiasuireimeint reisuilts showeid a physical workload in thei heiavy cateigory, with a %CVL valuiei in thei raw mateirial cuitting seiction of 63% and asseimbly of 61.2%. Afteir improveimeints throuigh work activity arrangeimeint and thei uisei of assistivei deiviceis, thei %CVL valuiei deicreiaseid to 48% and 51.4% (modeiratei cateigory). For meintal workload, raw mateirial cuitting and finishing workeirs had WWL valuieis ​​of 92 and 91 (veiry high cateigory). Afteir impleimeinting improveimeints in thei form of improveid work commuinication, cleiareir division of tasks, and improveid lighting, thei WWL valuieis ​​deicreiaseid to 76 and 73 (high cateigory). Thei reisuilts of this stuidy can bei a reifeireincei for companieis to improvei work systeims, increiasei Occuipational Safeity and Heialth (K3), and workforcei produictivity.
Analisis Beban Kerja dan Kebutuhan Tenaga Kerja pada lini Produksi Lemari Kaca dengan Pendekatan Work Load Analysis (WLA) Alvianto, Deny Nur; Purnama, Jaka
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.52438

Abstract

The increasing demand for glass cabinets at CV. Nanda Jaya has intensified the workload on the production line, leading to inefficiencies such as delays in order completion and potential worker fatigue. This study aims to analyze workload and determine the optimal number of workers at each workstation using the Work-Load Analysis (WLA) method. Data collection was conducted through direct observation, work-time measurement, heart rate monitoring using the Heart Rate Reserve (HRR) method, and uniformity and adequacy tests. The results indicate an imbalance in workload distribution, with the assembly station recording the highest standard time of 126.60 seconds, making it the primary bottleneck in the production process.
Rancang Bangun Mesin Pemecah Kulit Ari Kedelai Untuk Meningkatkan Produktivitas Industri Tempe Pada UMKM Tempe Bapak Mahmudi Munir, Munir; Purnama, Jaka
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.52560

Abstract

Soybeans are an important food ingredient in Indonesia and are the main ingredient in making tempeh. Mr. Mahmudi's tempeh MSME in Sidoarjo has difficulty meeting market demand because the soybean peeling process is still done manually, resulting in slow production and less than optimal results. This study aims to design a more efficient soybean peeling machine and measure productivity increases after its implementation. The design process was carried out through literature studies, field observations, interviews, and data analysis, including worker anthropometric data to ensure the machine is ergonomic and safe to use. Test results showed that the machine was able to peel 8 kg of soybeans in 1 minute 9 seconds, much faster than the manual method which requires 8 minutes 23 seconds. Productivity increased by 628.9%, proving that this machine can significantly improve the efficiency, consistency, and production capacity of MSMEs.