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All Journal Jurnal Teknik Industri KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan TEKMAPRO Journal of Industrial Engineering and Management JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) REKAYASA Sistemasi: Jurnal Sistem Informasi Journal of Industrial Engineering Management EKONOMIS : Journal of Economics and Business STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Teknik Industri Terintegrasi (JUTIN) Nusantara Science and Technology Proceedings Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Lifesci Journal La Multiapp Indonesian Journal of Innovation Studies JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS Jurnal Teknik Mesin, Industri, Elektro dan Informatika Electronic Journal of Education, Social Economics and Technology IIJSE Journal Serambi Engineering (JSE) Academia Open
Rr. Rochmoeljati
Department Of Industrial Engineering, Faculty Of Engineering And Sains, Universitas Pembangunan Nasional Veteran Jawa Timur, Surabaya 60294, Indonesia
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Theory of Constraint and Drum Buffer Rope Increase Shoe Production Throughput: Teori Kendala dan Drum Buffer Rope Meningkatkan Produktivitas Produksi Sepatu Rahmawati, Dea; Rochmoeljati, Rr.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1891

Abstract

General Background: Production systems frequently experience capacity imbalances that disrupt material flow and reduce throughput, particularly in small- and medium-scale manufacturing environments. Specific Background: UD Anugrah, a footwear manufacturer specializing in children’s shoes, faces recurring work-in-progress accumulation caused by unequal capacities among production workstations. Knowledge Gap: Prior studies have widely applied the Theory of Constraints, yet empirical applications integrating Drum-Buffer-Rope scheduling within the footwear manufacturing sector remain limited. Aims: This study aims to optimize production capacity at UD Anugrah by applying the Theory of Constraints integrated with the Drum-Buffer-Rope concept to identify, manage, and resolve system bottlenecks. Results: Sewing and Injection workstations were identified as primary constraints; optimization through linear programming, flow synchronization, and selective capacity elevation increased monthly throughput from IDR 88,166,810 to IDR 91,707,000, representing a 3.86% increase, while financial analysis yielded a positive Net Present Value of IDR 61,881,704 and a Payback Period of 3.41 years. Novelty: This research presents an integrated TOC–DBR application within a shoe manufacturing context, supported by quantitative throughput and investment feasibility analysis. Implications: The findings demonstrate that structured constraint management and DBR-based flow control provide a practical framework for improving production performance and investment decision-making in small- and medium-scale manufacturing enterprises. Highlights: Sewing and Injection stations were consistently identified as system constraints across multiple production periods. Linear programming supported optimal product mix allocation under limited workstation capacity. Financial evaluation confirmed that selective machine addition was economically feasible within the system lifespan. Keywords : Theory of Constraints, Drum Buffer Rope, Production Capacity, Shoe Manufacturing, Bottleneck Analysis
Lean Six Sigma and FMEA for Pesticide Production Waste Reduction: Lean Six Sigma dan FMEA untuk Mengurangi Limbah Produksi Pestisida Ramadhan, Muhammad Afif; Rochmoeljati, Rr.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1895

Abstract

General Background Pesticide manufacturing plays a critical role in supporting agricultural productivity, yet complex production systems frequently generate operational waste and product defects. Specific Background PT XYZ produces multiple pesticide variants, with powder pesticides showing the highest defect proportion during the October 2024–September 2025 period, indicating inefficiencies within the production process. Knowledge Gap Despite recurring defects and extended lead time, systematic waste identification and structured failure risk prioritization had not been comprehensively applied in this production context. Aims This study aimed to identify dominant waste types, evaluate process performance, and formulate improvement recommendations using Lean Six Sigma integrated with Failure Mode and Effect Analysis. Results The analysis identified defects, waiting, transportation, and environmental health and safety as dominant wastes. Lead time was reduced from 763.11 minutes to 681.38 minutes through the elimination of non-value-added activities. Process performance showed an average DPMO of 37,519.68 with a sigma level of 3.28, alongside an increase in Process Cycle Efficiency from 59.55% to 66.69%. FMEA results indicated the highest Risk Priority Numbers were associated with non-standard product weight and product clumping caused by operator inconsistency and suboptimal machine performance. Novelty This study presents an integrated application of Lean Six Sigma and FMEA to map waste sources and prioritize failure risks within a pesticide powder production system. Implications The findings provide structured improvement recommendations, including operator training, standardized machine settings, and routine maintenance, offering a data-driven reference for manufacturing process optimization in similar industrial settings. Highlights: Defect-related losses constituted the largest proportion of inefficiencies in the studied manufacturing flow. Quantitative performance metrics demonstrated measurable reductions in processing time and defect opportunity rates. Risk prioritization revealed machine condition and operator consistency as dominant contributors to quality deviation. Keywords: Pesticides, Waste, Lean Six Sigma, FMEA
Sentiment Analysis and Complaint Patterns on GoFood Merchants Using Naïve Bayes and Apriori: Analisis Sentimen dan Pola Komplain pada Merchant GoFood Menggunakan Naïve Bayes dan Apriori Alfan Afiyudin; Rr. Rochmoeljati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11401

Abstract

General Background: The rapid advancement of digital technology has catalyzed the proliferation of online service platforms, intensifying competition among providers to deliver optimal user experiences. Specific Background: In this landscape, food delivery services such as GoFood Merchant play a crucial role, yet user dissatisfaction remains a persistent challenge. Knowledge Gap: Despite the abundance of user-generated reviews, comprehensive sentiment and pattern analysis for GoFood Merchant remains limited, particularly in the integration of sentiment classification with pattern discovery and actionable recommendations. Aims: This study aims to analyze user sentiment toward the GoFood Merchant application using the Naïve Bayes algorithm and identify common complaint patterns via the Apriori algorithm, followed by solution formulation through the 5W+1H approach. Results: Utilizing 1,243 Play Store reviews, the sentiment classification model achieved an accuracy of 87%, indicating robust performance. Further analysis of negative reviews revealed five dominant keywords: “driver,” “order,” “aplikasi,” “resto,” and “iklan.” Novelty: The integration of sentiment analysis, association rule mining, and structured problem-solving provides a novel framework for understanding and addressing user dissatisfaction. Implications: The findings offer strategic insights for enhancing user experience and strengthening GoFood Merchant’s competitive advantage in the saturated online service marketplace. Highlights: Identifies dominant user complaints using data mining techniques. Combines sentiment classification with complaint pattern discovery. Provides actionable recommendations using the 5W+1H framework. Keywords: Sentiment Analysis, Naïve Bayes, Apriori Algorithm, User Complaints, GoFood Merchant
Workstation Capacity Optimization Using Theory Of Contraint and Drum-Buffer-Robe Methods mutia meilanda; Rr. Rochmoeljati
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.671

Abstract

A company in Pasuruan that produces speaker components is facing a bottleneck problem in cone paper production due to fluctuations in demand resulting in an imbalance in machine capacity and cycle time. This results in the cone paper production process being inefficient in meeting targets, making throughput suboptimal. To overcome these problems, you can apply Theory of Constraints (TOC) through the Drum-Buffer-Rope approach and Linear a Programming which is processed using WinQSB software. The research phase includes constraint identification, constraint exploitation, constraint subordination and constraint elevation. Based on the calculation, botlleneck occurs at the cone printing (SK -1) and coating (SK - 4) work stations. To overcome this, 2 hours of overtime was added at both work stations in August 2024 - January 2025. This step successfully increased throughput, the initial throughput of 80,669,0700 increased by 99,103,4200 or 19%. Thus, this proposal proved to be effective in optimizing throughput and maximizing production capacity utilization.
Co-Authors Adham Roihan Azriel Irfani Afriza, Ajeng Agustina, Mega Ahyaliya, Marsya Laila Alfan Afiyudin Alief Wahyu Pratama Alvionita, Selvi Amalia, Rochmatul Anasari, Sofia Fitri Annandita, Alifia Rizky Benedictus Vibriyanto Bagas Prakosa Berliana Dian Novitasari Brilian, Delinda Budiani, Dian Nissa Fitri Bustomy, Andrean Chori Dwi Azizah Christabela Jesselyn Dimas Wandhika D Dira Ernawati Endang Pudji Widjajati Erlina Erlina Faizal, M. Rizki Nur Fenny Novianti Ferina Indah Lusiana Ferraldo Kusuma Artono Putra Fibio Isnando Hariatmaja Pradana Fuadah, Layin Hidayatulloh, Faishal Iriani Iriani Isna Nugraha Ivonne Rakha Salsabila Kamal Husein Khusnun Nabila Mardila Nur Imamah Maunah, Dewi Aisarunnisa' Meisufi, Ruro Wiranti Moch Taufik Hidayat Mochamad Ismail Zakaria Muhammad Hadziqul Afkar Muhammad Rizki Kurniawan mutia meilanda Nafa Artha Cahaya Mulia Nafa Artha Cahaya Mulia Nugraha, Isna Nugroho, Rosa Novarian Agninditya Pradana, Billy Gandis Prakosa, Albertus Adriyanto Satrio Pramudya, Kaka Arya Primadhiya, Fairuzzayyan Putra, M. Rizqy Ifaldhi Raditya Dwi Firmansyah Raditya Y E Rahmawati, Dea Ramadhan, Muhammad Afif Ramadhani, Muthia Dita Rauhul Rahman Adam Sinaga, Boriski Sinta Dewi Subono, Muhammad Wibbie Wiweka Syarifah, Faranisa Aulia Ar Rahma Tiara Nuriyah Sani Tranggono Tranggono Valentino, Eki Vaundra Cunning Hangesthi Widyarsa, Destiara Nabila Widyawati, Diana Ya Fachrul Rasyid Yustina N Yustina Ngatilah Zella Azzahra Achmadani