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All Journal Jurnal Optimasi Sistem Industri Journal Industrial Servicess Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Community Service: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Tyas Yuli Rosiani
Universitas Muhammadiyah Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM Annisa Kesy Garside; Tyas Yuli Rosiani; Adelya Amanda; Thomy Eko Saputro; Eduardo e Oliveira
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.955 KB) | DOI: 10.25077/josi.v23.n2.p188-206.2024

Abstract

Sustainable manufacturing has emerged as a critical priority in addressing the complex environmental, social, and economic challenges of modern industry. This study focuses on the plywood sector, a significant contributor to manufacturing, which faces distinct sustainability issues such as high energy consumption, material inefficiencies, and hazardous working conditions. To address these challenges, the research introduces workload and noise level as critical indicators for assessing sustainability, broadening the scope of traditional evaluation methods. A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traffic Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). Applied to a plywood manufacturing case study, the framework highlighted areas requiring improvement, particularly in worker well-being and operational safety, while demonstrating the industry's moderate overall efficiency. By offering actionable insights for improving resource use, operational processes, and employee conditions, this framework provides a practical tool for industry managers aiming to enhance sustainability. Furthermore, its adaptability makes it a valuable reference for other manufacturing sectors seeking to implement resource-efficient and sustainable practices. This research not only fills critical gaps in sustainability assessment but also contributes to advancing industry practices by emphasizing holistic and innovative approaches to manufacturing efficiency.
An Integrated Framework for Ergonomic Performance Assessment in Food Manufacturing: A Case Study Using Ergo-VSM, AHP, and TLS Tyas Yuli Rosiani; Meng-Hua Li; Dewi Rahmasari
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.158 KB) | DOI: 10.25077/josi.v24.n1.p84-101.2025

Abstract

In food processing industries, particularly nut-based production that relies heavily on manual labor, ergonomic challenges related to repetitive motion, prolonged static postures, and thermal stress are increasingly prominent due to rising production demands. These issues are often concentrated at specific workstations and tend to be overlooked in conventional performance evaluations. To address this gap, this study proposes an integrated Ergonomic Performance Assessment (EPA) framework designed to evaluate ergonomic performance comprehensively across the entire production line. The framework integrates Ergonomic Value Stream Mapping (Ergo-VSM) for process visualization, the Analytical Hierarchy Process (AHP) for assigning weights to ergonomic criteria, and the Traffic Light System (TLS) for intuitive performance classification. A case study was conducted in a peanut processing facility, involving 8 workstations. Data were gathered through direct observations, detailed task analyses, and expert input from three experts via Focus Group Discussions (FGDs). Ergonomic indicators were derived from literature and expert consensus, weighted using AHP based on pairwise comparisons, and assessed using structured observational metrics. The results were visualized within the Ergo-VSM framework using TLS. Ergonomic performance was quantified through the Manufacturing Ergonomic Score (MES), which reached 69.15%. Based on a three-tier classification system low (<60%), moderate (60–90%), and high (>90%) this score falls within the moderate category, indicating several areas require improvement. Musculoskeletal disorder risks and high working temperatures were identified as the most critical concerns, particularly at thermally intensive and physically demanding workstations. The EPA framework enabled the visualization of ergonomic variation between workstations, allowing for systematic identification of priority areas for improvement. This research contributes to ergonomic evaluation literature by offering a structured, data-driven approach and provides practical insights for enhancing worker well-being and operational productivity.
Improving tofu product quality through the integration of the Kano model and Quality Function Deployment (QFD) Dinda Finandita Putri; Annisa Kesy Garside; Thomy Eko Saputro; Tyas Yuli Rosiani; Mohd Nabil Bin Muhtazaruddin
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.32596

Abstract

Many MSMEs struggle with process variations and inconsistent quality in the highly competitive tofu manufacturing industry. Problems such as unpleasant odors, inconsistent cut sizes, and irregular textures damage customer satisfaction and affect market competitiveness. In light of this, the aim of this study is to provide a systematic framework for identifying and prioritizing high-risk quality attributes in tofu products, using the case study in an MSME. Hence, this research develops a holistic approach that integrates the Kano model and Quality Function Deployment (QFD) to translate customer requirements into measurable technical actions. A survey of 73 respondents to the study identified 12 product attributes, classified into must-be, one-dimensional, and attractive attributes. So, these attributes were inserted in the HoQ-related matrix from which eight technical responses were ranked as mentioned before: high-quality soybean selection, elimination of chemical preservatives, boiling temperature control, and use of food-grade packaging materials. This integration provides a quantitative and systemic basis for process standardization in artisanal food production. It helps MSMEs establish an overarching strategic direction towards product consistency and, subsequently, competitiveness through data-driven quality improvement strategies.
Pemberdayaan Berbasis Ekonomi Sirkular untuk Meningkatkan Kapasitas Pengelolaan dan Diversifikasi Sekam Padi pada Industri Penggilingan Padi Skala Kecil Dana Marsetiya Utama; Rahmad Wisnu Wardana; Tyas Yuli Rosiani
Community Service: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 2 (2026): August
Publisher : GRM Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67710/communityservice.v2i2.60

Abstract

Sekam padi memiliki potensi sebagai sumber daya bernilai tambah, tetapi pemanfaatannya pada industri penggilingan padi skala kecil masih terbatas oleh kapasitas teknis dan manajerial pelaku usaha. Studi ini bertujuan mengevaluasi perubahan kapasitas pengelolaan sekam melalui pemberdayaan berbasis ekonomi sirkular serta mendukung diversifikasi pemanfaatannya menjadi produk bernilai tambah. Program dilaksanakan secara partisipatif melalui sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi terhadap lima pekerja tetap pada satu industri penggilingan padi skala kecil. Evaluasi pra-kegiatan dan pasca-kegiatan menggunakan 23 indikator yang mencakup pengetahuan ekonomi sirkular, keterampilan teknis, pengelolaan limbah, Keselamatan dan Kesehatan Kerja, serta kapasitas manajerial. Hasil menunjukkan skor keseluruhan meningkat dari 1,922 menjadi 4,104 atau sebesar 113,57%. Peningkatan tertinggi terjadi pada keterampilan teknis sebesar 142,00%, diikuti pengetahuan ekonomi sirkular sebesar 115,38%, kapasitas manajerial sebesar 108,51%, pengelolaan limbah sebesar 100,00%, dan Keselamatan dan Kesehatan Kerja sebesar 97,78%. Seluruh peserta menunjukkan perubahan positif tanpa negative ranks maupun ties. Nilai exact dua-arah Wilcoxon sebesar 0,063 menunjukkan bahwa perubahan belum mencapai signifikansi statistik pada taraf 5%, meskipun ukuran efek berada antara 0,909 dan 0,921. Program juga mendukung pemanfaatan sekam melalui pengembangan pelet biomassa serta alternatif diversifikasi berupa briket dan media tanam organik. Temuan ini menunjukkan bahwa pemberdayaan berbasis ekonomi sirkular berpotensi memperkuat kapasitas pengelolaan sekam secara produktif, aman, dan terukur, meskipun generalisasi hasil masih terbatas oleh jumlah peserta dan lokasi studi.
An Ergo–Green–Lean Framework for Sustainability Performance Assessment in Coffee Agroindustry Tyas Yuli Rosiani; Dana Marsetiya Utama; Baiq Firyal Salsabila Safitri; Meng-Hua Li; Shiva Mahardika Kenya Syailendra; Dewi Fatmawati
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 28 No. 2 (2026): December 2026 (Pre-Print)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.28.2.139 - 151

Abstract

There is growing pressure in the manufacturing sector to address operational efficiency alongside environmental and worker well-being. However, major existing sustainability assessment methods have notable flaws: most evaluate ergonomic, environmental, and operational performance separately. This approach cannot identify cross-dimensional performance gaps, nor can it support integrated operational decision-making. To address this issue, this study proposes an integrated Ergonomic-Green-Lean (EGL) manufacturing performance assessment framework for the coffee agroindustry. The method uses the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to determine indicator weights under uncertain expert judgment, and a Traffic Light System (TLS) for performance level classification. The calculated weights for the three dimensions are 0.36 for ergonomics, 0.34 for lean practices, and 0.30 for green practices. However, ergonomics made the lowest actual contribution to performance. The overall EGL performance index reached 67.7%, which falls in the medium range. The core finding is that there is a clear mismatch between the strategic importance of human factors in this production system and their actual performance. The proposed EGL framework links indicator importance with realized operational performance, enabling the identification of importance–performance mismatches and supporting more coordinated improvement priorities.
Co-Authors Adelya Amanda Annisa Kesy Garside Baiq Firyal Salsabila Safitri Dana Marsetya Utama Dewi Fatmawati Dewi Rahmasari Dinda Finandita Putri Eduardo e Oliveira Meng-Hua Li Meng-Hua Li Mohd Nabil Bin Muhtazaruddin Rahmad Wisnu Wardana Shiva Mahardika Kenya Syailendra Thomy Eko Saputro