cover
Contact Name
Maria Magdalena Wahyuni Inderawati
Contact Email
wahyuni.inderawati@atmajaya.ac.id
Phone
+6221-80827207
Journal Mail Official
jurnal.metris@atmajaya.ac.id
Editorial Address
Program Studi Teknik Industri Universitas Katolik Indonesia Atma Jaya Kampus 3 Cisauk, Jalan Raya Cisauk Lapan No. 70, Cisauk, Tangerang, Banten Banten, 15345
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Metris: Jurnal Sains dan Teknologi
ISSN : 14113287     EISSN : 28084810     DOI : https://doi.org/10.25170/metris
Jurnal Metris is published 2 (twice) a year. Since Volume 14 in 2013, Jurnal Metris has been published in June and December. The contents of the journal discuss research results in the field of industrial engineering. Jurnal Metris provides a place of publishing for sharing the new findings from research results of researchers, academics, scientists, and practitioners who related to the scope (but not limited) of: 1) Smart Production; 2) Lean Manufacturing; 3) Product Design & Development; 4) Human Factors Engineering; 5) Management Science and Operation Research; 6) Logistics and Supply Chain Management; 7) Decision Science in Business and Management; 8) Quality Engineering.
Articles 207 Documents
Risk Analysis of Work Accidents Using HIRADC and JSA to Achieve Zero Accident in the Electricity Industry Ega Rizkiyah; Luh Putu Intan Saraswati
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7656

Abstract

Workplace accidents remain a serious problem across industrial sectors because they can lead to severe injuries, fatalities, and material losses. In Indonesia, workplace accident cases reached 356,383 as of October 2024, indicating the urgent need for more effective occupational safety risk control. This research identifies and analyzes occupational safety risks in the electricity industry, which is characterized by potential exposure to chemical, mechanical, ergonomic, and physical hazards. This research integrates Hazard Identification, Risk Assessment, and Determining Control (HIRADC) with Job Safety Analysis (JSA). HIRADC was used to identify, classify, and assess hazard levels across eight work areas, while JSA was applied to examine the most critical activity identified from the risk assessment results. Based on observations, interviews, and company reports in 2024, 498 findings were identified, of which 59% were negative findings caused by unsafe actions and unsafe conditions. The risk recapitulation showed that 76% of potential hazards were classified as high risk, 22% as moderate risk, and 2% as low risk. Area 2 recorded the highest average risk score of 9.20, while Area 4 had the largest number of hazards, with 10 findings and a maximum risk score of 12. Mechanical hazards were the most frequently identified hazard type, accounting for 18 findings, or 42.9% of the total hazards, whereas physical hazards had the highest average risk score of 8.90. The JSA results indicated that generator maintenance was the most critical activity because it involved multiple hazard types, including electrical, mechanical, physical, and chemical hazards. The proposed control measures were formulated based on the hierarchy of controls, particularly administrative controls and personal protective equipment. These findings suggest that integrating HIRADC and JSA can support electricity companies in identifying critical hazards, prioritizing preventive actions, and strengthening occupational safety management toward zero accident performance.
Integrated Production Planning for Shoulder Leader Pin at PT XYZ Alifah Almas; Nadila Puspita Tri Handayani; Muhammad Naufaldi Rasyid; Hikmal Abrar; Niken Parwati; Widya Nurcahayanty Tanjung
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7705

Abstract

Accurate production planning plays a critical role in balancing market demand and a company’s production capacity. PT XYZ, a manufacturing company producing industrial spare parts, faces production planning issues for its shoulder leader pin product due to the absence of a structured demand forecasting system. This study aims to develop an integrated production planning framework by applying demand forecasting, Master Production Schedule (MPS), Rough-Cut Capacity Planning (RCCP), and Material Requirement Planning (MRP). One year of historical demand data was analyzed using the Double Moving Average (DMA) and Double Exponential Smoothing (DES) methods of Brown. Forecasting accuracy was evaluated using Mean Absolute Percentage Error (MAPE), with the DMA method achieving a lower MAPE of 3.10%, indicating better accuracy than DES Brown. The selected forecasting results were used as input for the development of the MPS. RCCP analysis demonstrated that the available production capacity at all workstations was sufficient to meet the planned production requirements throughout the planning horizon, without requiring additional capacity. Furthermore, MRP was conducted to determine the quantity and timing of raw material procurement for SUJ2 steel with a one-period lead time. The MRP results indicate that material requirements can be fulfilled precisely in each period without excess inventory. Overall, the implementation of an integrated production planning system enables PT XYZ to improve planning accuracy, align production capacity with demand, and enhance operational efficiency.
Risk Analysis of Operator Work Posture Using the Rapid Entire Body Assessment (REBA) Method in Industrial Machine Production Processes Naufal Rasyid; Alifah Almas; Hikmal Abrar; Nadila Puspita Tri Handayani; Niken Parwati; Widya Nurcahayanty Tanjung
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7706

Abstract

In industrial manufacturing environments, non-ergonomic working postures are a major contributing factor to the development of musculoskeletal disorders (MSDs) among machine operators. In spare part production processes, operators are often required to maintain static and awkward postures for prolonged periods, which may increase biomechanical load on the body. This study aims to analyze the risk of operator working postures using the Rapid Entire Body Assessment (REBA) method in an industrial machine spare part production process. The research employed a descriptive observational approach conducted under actual working conditions without modifying existing work methods. Postural data were collected through direct observation and photographic documentation of operators at four main workstations, namely lathe, milling, cylindrical grinding, and surface grinding. Body segment angles, including the neck, trunk, legs, upper arms, lower arms, and wrists, were measured using the APECS application and evaluated using the REBA worksheet. The results indicate that operators at three out of four workstations exhibited forward-bending neck postures, resulting in relatively high neck angle deviations. All analyzed workstations were classified as having a medium level of MSD risk, with REBA scores ranging from 4 to 7. The milling workstation recorded the highest risk level with a REBA score of 7, primarily due to excessive trunk flexion, neck inclination, and prolonged static postures. These findings highlight the need for ergonomic improvements, such as adjusting machine height using platforms or height-adjustable bases, to enable operators to work in a more neutral posture and reduce musculoskeletal risk.
The Synergy of e-Procurement and e-Coupon Subsidies: An Innovation for Transparent Public Spending to Stimulate National Economic Circulation Stephanus Goenawan
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7707

Abstract

The government is crucial in driving national economic growth through effective, transparent public spending strategies. This study examines two innovative approaches implemented by the government to strengthen public purchasing power and accelerate the circulation of money across various economic levels. First, implementing an electronic procurement system (e-procurement) ensures that goods and services are conducted openly, competitively, and accountably. This improves efficiency, reduces the risk of corruption, and maximizes the benefits of public spending for society. Second, the e-coupon-based consumption subsidy strategy directly incentivizes citizens, notably lower- and middle-income groups, to purchase essential goods or strategic services. This approach stimulates domestic consumption and revitalizes the retail and MSMEs sectors. Integrating e-procurement and e-coupons creates a dual effect: efficient public expenditure upstream and increased public consumption downstream. The analysis shows that this strategy enhances fiscal transparency, stimulates economic growth, and sustainably improves public welfare through widespread and equitable money circulation.
Analisis Perbaikan Efektivitas Organisasi Berbasis McKinsey 7S Framework pada Department Business Process Innovation Trifenaus Prabu Hidayat; Andre Sugioko; Gabriel Santu Ario Saragih
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7715

Abstract

This research was conducted in the Business Process Innovation (BPI) Department of PT XYZ, by assessing the effectiveness of the organizational structure and its role in supporting innovation performance. Key issues were identified, including suboptimal cross-functional coordination, inconsistent SOP compliance, and staff competency gaps in process analysis and innovation management. The McKinsey 7S Framework was used, supported by the Balanced Scorecard, RACI Analysis, and Competency Gap Analysis. The results indicate that organizational strategy and systems are scored; however, the innovation culture has not been uniformly implemented, and a largely directive leadership style tends to restrict collaboration. Proposed solutions include strengthening inter-unit coordination, developing project-based competencies, and adopting a more participative leadership approach. These improvements are expected to enhance organizational effectiveness and support sustainable innovation.
Analisis Efektivitas Mesin Injection Moulding pada Lantai Produksi Menggunakan Metode Overall Equipment Effectiveness (OEE) Riana Magdalena Silitonga; Maria Magdalena Wahyuni Inderawati; Agustinus Silalahi
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7917

Abstract

The plastic manufacturing industry operating under a make-to-order system demands a high level of efficiency and effectiveness in the operation of production equipment to meet demand targets. Production processes that utilize injection molding machines with high utilization rates and a two-shift work system have the potential to generate various problems that can negatively affect production performance. Therefore, measuring machine effectiveness is necessary to identify factors contributing to performance deterioration. This study aims to measure the level of machine effectiveness using the Overall Equipment Effectiveness (OEE) method and to identify the dominant problems through Pareto diagram analysis. The research employs a quantitative approach, with data collection consisting of operating time, downtime, and production output. The results indicate that the OEE value is 69%, which is still below the industry standard of 80%. The primary issue influencing the low OEE value is the high frequency of idling and minor stoppages, which leads to significant losses in production time. Consequently, focused improvement efforts are required to enhance machine effectiveness and achieve sustainable improvements in production performance.
Analisis Penerapan K3 di Laboratorium dengan Metode Failure Mode and Effect Analysis dan Fault Tree Analysis di PT Mutuagung Lestari Syarif, Abdul Aziz; Hasibuan, Yetti Meuthia; Nugraha, Alief
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7404

Abstract

Occupational Health and Safety (OHS) is a critical component in high-risk laboratory environments. This study analyzes the implementation of safety measures in the laboratory of PT Mutuagung Lestari using Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). Accident and incident data from the past year were examined to identify failure modes, root causes, effects, and risk levels. The FMEA results indicate that failure modes with the highest Risk Priority Numbers (RPN), such as gas leaks and electrical short circuits, require immediate corrective action. The FTA further reveals that equipment malfunction and human error are the primary contributors to laboratory accidents. Although several OHS protocols are currently in place, shortcomings remain in equipment maintenance and safety supervision. Recommended improvements include strengthening preventive maintenance, redesigning critical work areas, and enhancing safety training programs. The findings provide actionable insights for developing a more robust OHS management system and offer practical implications for reducing accident risks and improving laboratory operational reliability