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Peran Machine Learning dalam Sistem Manufaktur Otomatis: Literature Review Alfarizi, Muhammad Dzaki
Gudang Jurnal Multidisiplin Ilmu Vol. 3 No. 12 (2025): GJMI - Desember
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v3i12.1908

Abstract

Perkembangan revolusi Industry 4.0 mendorong transformasi besar dalam sistem manufaktur melalui integrasi teknologi digital dan kecerdasan buatan. Machine Learning (ML) menjadi salah satu elemen kunci dalam otomasi industri karena kemampuannya memproses data secara adaptif untuk mendukung pengambilan keputusan otonom. Penelitian ini bertujuan untuk meninjau secara sistematis penerapan Machine Learning dalam sistem manufaktur otomatis dengan menyoroti tren, tantangan, serta arah penelitian masa depan. Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap 30 artikel jurnal internasional terindeks Scopus, IEEE Xplore, dan ScienceDirect dalam rentang tahun 2020–2025. Hasil studi menunjukkan bahwa Machine Learning banyak diterapkan pada empat domain utama: predictive maintenance, process optimization, quality control, serta intelligent automation. Algoritma yang dominan digunakan meliputi supervised learning dan deep reinforcement learning, yang terbukti mampu meningkatkan efisiensi operasional hingga 35%. Namun demikian, isu terkait interpretabilitas model, keterbatasan data industri, serta integrasi manusia–AI masih menjadi tantangan utama. Studi ini mengusulkan kerangka konseptual AI–Driven Manufacturing Framework sebagai panduan pengembangan sistem manufaktur cerdas yang adaptif, transparan, dan berkelanjutan menuju era Industry 5.0.
ANALISIS BEBAN KERJA FISIK PEKERJA MANUAL BERDASARKAN CARDIOVASCULAR LOAD, KONSUMSI ENERGI, DAN SUHU LINGKUNGAN Alfarizi, Muhammad Dzaki; Sirojuddin, Ahmad; Nadhif, Ahmad; Wicaksono, Priagung Rizky; Rudiyanto, Cita Suci Rizqi
Jurnal Exact: Interdisciplinary Studies Vol. 4 No. 1 (2026): July
Publisher : Excellent Academic Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jexact.14021

Abstract

Micro, Small, and Medium Enterprises (MSMEs) heavily rely on manual labor, which frequently leads to severe physical fatigue. This condition is often exacerbated by non-ergonomic working postures, repetitive movements, and extreme environmental temperatures, placing a dual burden on the workers' cardiovascular systems. This study aims to objectively evaluate the physical workload of manual workers at UD. Barokah by analyzing the interaction between mechanical load and thermal stress to formulate comprehensive ergonomic improvements. A quantitative descriptive approach with an observational design was employed in this study. Primary physiological data were collected directly by measuring the Resting Heart Rate and Working Heart Rate of workers across different age groups (30 and 60 years old) using an oximeter during their daily shifts. The physiological workload was analyzed using the Cardiovascular Load (%CVL) method and cross-validated with net energy consumption estimations derived from heart rate fluctuations. The field measurements indicated a high environmental temperature exposure reaching 33.1°C. Consequently, the %CVL values for the observed workers reached 33.93% and 40.70%, indicating a moderate cardiovascular strain that requires immediate system improvement. In stark contrast, the net energy consumption was classified as extremely light, at only 2.60 kcal/min and 2.22 kcal/min. This significant discrepancy confirms that the workers' physiological fatigue is not primarily driven by muscular mechanical exertion but rather by dominant thermal stress forcing the cardiovascular system to overwork for body thermoregulation. These findings critically correct the common assumption in the informal sector that manual fatigue is strictly proportional to caloric expenditure. Therefore, recommended ergonomic interventions must prioritize physical environment engineering, such as improved ventilation and rehydration facilities, alongside proportional work-rest schedules over mere load reduction.