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All Journal TEKMAPRO Journal of Industrial Engineering and Management Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Journal of Industrial Engineering Management PROZIMA (Productivity, Optimization and Manufacturing System Engineering) EKONOMIS : Journal of Economics and Business Aptisi Transactions on Technopreneurship (ATT) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Nusantara Science and Technology Proceedings Entrepreneurship Bisnis Manajemen Akuntansi (E-BISMA) Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi JOURNAL LA MEDIHEALTICO Journal La Multiapp Humantech : Jurnal Ilmiah Multidisiplin Indonesia Indonesian Journal of Innovation Studies Jurnal Sains dan Teknologi Jurnal Algoritma Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Manajemen Riset Inovasi Jurnal Ekonomi Manajemen Akuntansi Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Sains dan Teknologi ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat The Indonesian Journal of Computer Science Jurnal Abdimas Peradaban Venus: Jurnal Publikasi Rumpun Ilmu Teknik Advance Sustainable Science, Engineering and Technology (ASSET) INOVTEK Polbeng - Seri Informatika Spektrum Industri Academia Open ITEJ (Information Technology Engineering Journals) Jurnal Kendali Teknik dan Sains
Enny Aryanny
Program Studi Teknik Industri Fakultas Teknik Universitas Pembangunan Nasional “Veteran” Jawa Timur
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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SQC and Fuzzy FMEA Reveal Defect Priorities in Fairy Tale Book Printing: SQC dan Fuzzy FMEA Mengungkap Prioritas Cacat Pencetakan Buku Dongeng Oktaviya, Ananta; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1934

Abstract

General Background Quality control is a critical requirement in the printing industry to ensure products conform to predetermined standards and maintain visual and functional quality. Specific Background PT XYZ, a large-scale printing company in Indonesia, records fairy tale books as the product with the highest defect rate across Web Printing, Sheetfed Printing, and Finishing processes. Knowledge Gap Existing quality control practices at the company are predominantly focused on final inspection, creating a gap between quality standards and actual process conditions, while empirical applications of integrated SQC and Fuzzy FMEA in the printing industry remain limited. Aims This study aims to analyze defect characteristics and determine priority causes of defects in fairy tale book production using Statistical Quality Control (SQC) and Fuzzy Failure Mode and Effect Analysis (Fuzzy FMEA). Results SQC analysis identified dominant defects, namely dirty paper appearance (21.3%), color mismatch (17.9%), fold mismatch (17.8%), varnish crack (15.4%), floy (15.3%), and staple reject (12.3%). Fuzzy FMEA results indicate that fold mismatch caused by unstable temperature and humidity conditions in the production environment has the highest risk priority with an FRPN value of 3.42, followed by operator inaccuracy, improper machine settings, inconsistent raw material quality, and weak supervision. Novelty This research presents an integrated application of SQC and Fuzzy FMEA specifically within fairy tale book printing operations. Implications The findings provide a structured basis for prioritizing corrective actions through environmental control, operator training, machine adjustment, and raw material inspection to reduce defect levels in printing processes. Highlights: Dirty paper appearance represents the largest proportion of defects in fairy tale book production. Fold mismatch associated with production environment conditions shows the highest risk priority. Integrated analytical methods enable systematic prioritization of defect causes in printing processes. Keywords: Defects, Fairy Tale Books, Fuzzy FMEA, Quality, Statistical Quality Control
ABC–FSN Min–Max Method to Reduce Lubricating Oil Inventory Cost: Metode Min–Max ABC–FSN untuk Mengurangi Biaya Persediaan Oli Pelumas Armevia, Nazwa Rifqi; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1957

Abstract

General Background: Inventory control is a critical operational function to maintain cost efficiency and balance between stockout and overstock conditions in spare parts management. Specific Background: PT XYZ, a port heavy equipment spare parts provider, experienced excessive lubricating oil orders, leading to overstock levels of up to 21.2% and increased total inventory costs. Knowledge Gap: Prior studies on ABC–FSN and min–max stock primarily rely on historical data, resulting in static inventory parameters that insufficiently address future demand fluctuations. Aims: This study aims to control lubricating oil inventory by integrating ABC–FSN classification, min–max stock policy, and time series forecasting to minimize total inventory costs. Results: ABC–FSN analysis identified two Fast-A items, CC-0442 and CC-0444, as priority products. The company’s method generated total inventory costs of Rp 22,195,200, whereas the min–max stock method reduced costs to Rp 16,936,576, yielding savings of Rp 5,258,624 (23.69%). Forecasting for January–December 2026 produced average monthly demands of 2,439 liters for CC-0442 and 1,413 liters for CC-0444, resulting in order quantities of 1,000 liters every 8 days and 600 liters every 9 days, with projected total costs of Rp 15,416,000. Novelty: The integration of ABC–FSN classification with forecasting-based min–max parameters provides a more adaptive inventory control framework. Implications: The proposed approach supports systematic prioritization, cost minimization, and responsive inventory planning for lubricating oil management. Highlights: Fast-A prioritization identified CC-0442 and CC-0444 as critical high-turnover, high-value items. Cost comparison revealed savings of Rp 5,258,624 (23.69%) versus the existing practice. Forecast-based planning established 8-day and 9-day replenishment cycles for 2026. Keywords: ABC-FSN, Forecasting, Inventory Control, Min Max Stock
Lagrange Multiplier Inventory Optimization for Constrained Head Truck and Crane Tire Warehousing: Optimalisasi Persediaan Ban Head Truck dan Crane pada Gudang dengan Keterbatasan Kapasitas Menggunakan Metode Lagrange Multiplier Syahputra, Rangga Dhika; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1958

Abstract

General Background: Inventory management in multi-item systems with limited warehouse capacity requires mathematical optimization to control ordering and holding costs while maintaining operational continuity. Specific Background: PT XYZ, a supplier of port heavy equipment spare parts, experienced overstock of head truck and crane tires due to fluctuating demand and a warehouse capacity limited to 25 m³, resulting in total inventory costs of Rp134,142,000 and storage requirements exceeding capacity at 29.5 m³. Knowledge Gap: Prior studies predominantly addressed manufacturing or retail settings with relatively stable demand, while applications in port heavy equipment spare parts characterized by fluctuating demand and actual capacity constraints remain limited. Aims: This study aims to determine optimal order quantities for three tire types using the Lagrange Multiplier method to minimize total inventory cost under warehouse capacity constraints, integrating time series forecasting for the January–December 2026 period. Results: The Lagrange Multiplier model produced optimal order quantities of 60, 33, and 8 units, requiring 24.6 m³ and reducing costs to Rp127,643,500 compared with the company method. Forecast-based optimization recommended 58, 32, and 9 units with ordering intervals of 16, 24, and 18 days, occupying 24.75 m³ and generating total inventory costs of Rp125,985,500. Novelty: This study integrates multi-item Lagrange Multiplier optimization with Single Exponential Smoothing forecasting and Moving Range Chart verification in a port spare parts warehousing context. Implications: The findings provide a quantitative decision framework for capacity-constrained inventory planning, supporting cost minimization and structured warehouse utilization in heavy equipment spare parts management. Highlights: Mathematical optimization generated lower total stock expenditure compared with the existing ordering approach. Forecast-integrated planning maintained storage usage within the 25 m³ limit. Defined replenishment intervals of 16, 24, and 18 days supported structured procurement scheduling. Keywords: Inventory, Lagrange Multiplier, Tire
Analisis Pemborosan dengan Metode Waste Assessment Model (WAM) dan Fuzzy-Failure Mode Effect Analysis (F-FMEA) di CV. XYZ Haqqi, Muhammad Mahfudh Bil; Aryanny, Enny
Ekonomis: Journal of Economics and Business Vol 10, No 1 (2026): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v10i1.1962

Abstract

This research aims to determine the level of waste that occurs and provide suggestions for improvements to reduce waste at CV XYZ. This research uses primary data obtained in direct research starting from January - April 2024. The data used is questionnaire data with superior respondents who know the real conditions of modified container production and waste data that occurs in the production process. To determine the level of waste that occurs and provide suggestions for improvements to reduce waste, the Waste Assessment Model, Process Activity Mapping, Root Cause Analysis and Fuzzy Failure Mode Effect Analysis methods are used. Using the Waste Assessment Model method, the top three most critical wastes were found, namely defect defects of 25.14%, motion waste of 20.62%, inventory waste of 16.32%. In Root Cause Analysis, the root cause of all waste problems is found by asking why, successively getting to the root of the problem. In the Fuzzy Failure Mode Effect Analysis, the Fuzzy Risk Priority Number value of the top three wastes with each subwaste, waste inventory causing lack of attention to warehouse management, was 6.7, waste defect causing the spray machine not functioning perfectly was 4.95, waste inventory the cause of workers not being orderly with the SOP for recording inventory balances was 4.39, waste motion caused tools to be often moved to reach certain angles was 3.64, waste defect of workers not being careful when setting up was 2.45.
Analisis Pengendalian Persediaan Material Veneer dengan Metode Lagrange Multiplier di PT. XYZ Oktavia, Shinta Dwi; Aryanny, Enny
Ekonomis: Journal of Economics and Business Vol 10, No 1 (2026): Maret
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v10i1.1913

Abstract

Inventory of raw materials plays a crucial role in the production process as it serves as the foundation supporting the smoothness and continuity of production. Both excess and shortage of raw material inventory have the potential to incur losses for the company. PT. XYZ is a company engaged in the plywood industry. The issue faced by PT. XYZ is the frequent ordering of more materials than the demand. This can lead to excess capacity and increased storage costs. Due to limited storage capacity, the quantity of orders must also be considered. The objective of this research is to achieve optimal inventory control of veneer while considering warehouse capacity to minimize total inventory costs. The method used is Lagrange Multiplier. Based on the research results, the total calculation results for new storage space are 586.64 m3, with orders for sengon veneer at 431 m3, jabon veneer at 379 m3, and mixed veneer at 336 m3. These values have reached optimal conditions because the order sizes do not exceed the warehouse's veneer material capacity, thereby avoiding overcapacity of raw materials. The total inventory cost obtained using the Lagrange Multiplier method is Rp 263,069,005. Thus, it can be concluded that the Lagrange Multiplier method can provide a minimal inventory solution in terms of the company's total inventory costs.
Analysis Quality of Service using Service Performance and Importance Performance Analysis Method at Community Health Center Della Puspita, Fannysah; Enny Aryanny
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3949

Abstract

Community health center is a health services in Indonesia that aims to organize first-level public health efforts. The current condition observed in level one health centers in Indonesia relates to the services provided. A large portion of patients who have experienced the services express dissatisfaction with the level of service provided. This research aims  to determine the quality of service in community health center and provide advices to improve the quality of health center services. The method used in this research is the Servperf method and Importance Performance Analysis. Based on research with the service performance method, the mean performance level is 3,39 and the mean importance level is 4,38. Meanwhile, the Importance Performance Analysis obtained the level of conformity between performance and importance is 77,49% with seven atrributes of service quality dimensions that enter quadrant I and are the top priority for improvement. The proposed improvements are made to improve the quality of health center services in the future by adjusting the main priority attributes of improvements to the Importance Performance Analysis diagram.
Quality Prioritization in Wheat Flour Bagging Using FTA and FMEA: Prioritas Kualitas dalam Pengantongan Tepung Terigu Menggunakan FTA dan FMEA Alvianto, Dwi Tio; Aryanny, Enny
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13890

Abstract

General Background: Quality control in food manufacturing is essential to maintain product consistency, reduce operational losses, and sustain customer trust, particularly in critical packaging stages such as wheat flour bagging. Specific Background: PT X recorded an average defect rate of 4.03% in the 25 kg wheat flour bagging process during January–December 2025, exceeding the company’s minimum defect target of 0.8%, with dominant defects including sewing failure, inappropriate weight, missed label installation, and torn packaging. Knowledge Gap: The existing quality control system in the bagging stage had not yet applied a structured root cause analysis and risk prioritization approach to determine the main sources of defects and corrective priorities. Aims: This study aims to analyze defects in the 25 kg wheat flour bagging process and determine improvement priorities using Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). Results: FTA results showed defect probabilities of 0.0509% for sewing failure, 0.0405% for inappropriate weight, 0.0352% for missed label installation, and 0.0273% for torn packaging. Human, machine, and method factors were identified as the main causes of defects. FMEA results indicated that sewing failure caused by suboptimal detection systems had the highest Risk Priority Number (RPN) of 560, followed by weighing system disturbances and label inspection issues. Novelty: This study integrates FTA and FMEA to systematically identify defect probability and rank corrective priorities in wheat flour bagging operations. Implications: The findings support preventive maintenance scheduling, sensor checking, calibration routines, inspection checkpoints, and standardized operating procedures to reduce defects and improve bagging quality performance. Highlights: Sewing defects showed the highest defect probability and the most critical risk ranking. Human, machine, and method factors were identified as dominant root causes of production failure. Preventive maintenance and standardized inspection procedures were prioritized for corrective action. Keywords: Bagging, Fault Tree Analysis, Failure Mode and Effect Analysis, Quality Control.
Waste Analysis in the Aluminum Extrusion Process utilizing Lean Six Sigma and Failure Mode Effect Analysis (FMEA) Gracia Wiranatalie Damanik; Enny Aryanny
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): In Progress
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v11i1.293

Abstract

This study aims to identify dominant waste types, analyze the root causes of quality failures, and formulate improvement recommendations to enhance production process efficiency. The methodology integrates Lean Six Sigma and Failure Mode and Effect Analysis (FMEA). Unlike previous studies that focus on a single CTQ in aluminum extrusion processes, this study addresses four dominant CTQs using an integrated Lean Six Sigma and FMEA approach to provide a more comprehensive quality improvement framework. Identification results reveal that defect is the most critical waste, with the highest weight of 0.1206, followed by waiting at 0.0905 and transportation at 0.0854. Root cause analysis of product defects using fishbone diagrams and FMEA indicates that denting poses the highest risk, with a Risk Priority Number (RPN) of 336. Through the proposed improvement designs, the company can entirely eliminate non-value-added (NVA) activities and significantly reduce necessary non-value-added (NNVA) activities. The implementation of these recommendations successfully reduced the total lead time from 2,435.59 minutes to 1,870.41 minutes, resulting in an increase in the Value-Added (VA) time percentage from 40.86% to 46.34%.  
Analisa Tingkat Kecacatan Bata Beton Ringan Dengan Metode Seven Tools dan FMEA Di CV. XYZ - Mojokerto Nur Rohkma, Ais; Enny Aryanny
Jurnal Kendali Teknik dan Sains Vol. 1 No. 3 (2023): Juli: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i3.542

Abstract

CV. XYZ is a manufacturing company whose main product is lightweight concrete bricks made in various sizes. Lightweight concrete brick with a thickness of 10 cm is the product that produces the highest defects compared to other products. The resulting defects have an average of 5% where this value exceeds the company's tolerance limit of 3-4%. Based on these problems, a study was conducted to determine the level of defects of lightweight concrete bricks and to provide suggestions for improvements to reduce defects. The research was conducted using the Seven Tools method and Failure Mode and Effect Analysis (FMEA). The results showed that the defect level of Lightweight Concrete Bricks from the highest to the lowest were chipped, cracked, uncut, and dimensional defects respectively. In addition, it can be seen that the Gompal failure mode with the cause of the disassembly or sorting process is too hard to produce the highest RPN score of 245, so that the recommendations for improvement need to be prioritized first.
Analisa Pemborosan Pada Proses Produksi Air Minum Dalam Kemasan Dengan Metode Value Stream Mapping Dan Waste Assesment Model Di CV Dafista Mulia Moh Rizky Ainul Yakin; Enny Aryanny
Jurnal Kendali Teknik dan Sains Vol. 1 No. 4 (2023): Oktober: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i4.1164

Abstract

CV Dafista Mulia is a drinking water producer company located in Lamongan Regency. The problem that is often faced by companies is the amount of waste that occurs in the process of producing bottled drinking water. The most critical percentage of waste in the bottled water production process (AMDK) is waste overproduction with a weighting percentage of 25.4%; waste defet with a weighting percentage of 16.2%; waste inventory with a weighting percentage of 14.9%; waste unnecessary motion with a weighting percentage of 14.1%; waste transportation with a weighting percentage of 11.7%; waste waiting with a weighting percentage of 9%; and waste excess processing with a weighting percentage of 8.7%. The initial activity time before the repair was 466 minutes (7 Hours 46 Minutes) and after the repair was reduced to 416 minutes (6 Hours 51 Minutes). Based on the Failure Mode and Effect Analysis (FMEA), it is known that the root cause of the problem with the highest waste is Overproduction, namely production planning that is not quite right with a Risk Priority Number (RPN) score of 396. Recommendations for improvements that can be proposed are to carry out production planning using data - historical data that exists and is adjusted to balance the purchasing of raw materials with orders from consumers so that the results of the Overproduction can become a safety stock so that the Overproduction can function in the next consumer order.
Co-Authors Ahmad Rizki A Ahmad, Dzaki Syahriar Aiful Firmansyah Aiful Firmansyah Ais Nur Rohkma Alif B. C. Putra Alrianto, Wahyu Putra Alvianto, Dwi Tio Anastasya Nabila Sari Anna Nikmatulloh Ari, M. Husin As Armevia, Nazwa Rifqi Aryadinata, Rafi Asyor Itaar Atim Puji Lesmono Bayyinah Baitil Brivan Ardhandy Studynka Candra Puspita Alfalis Saputri Della Puspita, Fannysah Destalia, Riris Dwi Budi Santoso Dwi Prasetyo Dwi Qomariah Arifin Dwi Sugiarti Dwi Sukma Donoriyanto Erlina Purnamawati Erlina Purnamawaty Erwansyah, Mohammad Septian Faisal Fahmi Fasya Farel, Febrian Muhammad Fauzia, Lavina Felda Fitria Novitasari Furqoni, Alzain Intan Ganendra, Devara Priya Ghufron, Muhammad Zhaki Gracia Wiranatalie Damanik Hakim Gusti, Mohamad Lukman Haqqi, Muhammad Mahfudh Bil Harashta, Hafidz Raif Idris, Mukandar Irawan, Michael Aria Iriani Iriani Iriani Iriani Iriani Islami, Mega Cattleya Prameswari Annissaa Izhaq, Dhuha Cahya Jordyan A. Cahyono Lailatul Rohmah Laxmi Ratnaningsih Lumban Gaol, Kristine Minto Waluyo Moch. Yusuf Efendi Mochammad Daffa Amanullah Moh Rizky Ainul Yakin Moh Rizky Ainul Yakin Muhammad Faiz Fadilah Muhammad Faiz Fadilah Muhammad Niqey Dzi Qolbin Saliem Mulyani, Mochammad Raihan Muttaqin, Nashrotul Ummah Al Nabila Sari, Anastasya Nufaisah, Nurah Nugroho, Ayyasy Nur Rohkma, Ais Oktavia, Shinta Dwi Oktaviya, Ananta PAMUNGKAS, CATUR ARTA Pangestu, Bilal Setiyo Paramitha, Aditya Pramesty Puteri Pertiwi Pramesty Puteri Pertiwi Prashodang, Tryandika Rizkat Pratama, Inggrid Bella Pudji W., Endang Putri, Fadilla Umeida Putri, Pramisyela Adinda Ragil Kusuma Jati Reka Nur Aini Reka Ridho Awang Sudrajat Riris Destalia Rizkyllah, Arya Bagus Rizqi Novita Sari Rizqi Novita Sari ROHMAH, LAILATUL Sabrina, Vina Safirin, Mohammad Tutuk Samanhudi, Didi Sarah Monica Christine Panjaitan Setiawan, M. Frizky Feri Setyabudi, Sugeng Siregar, Rendi Robintang Sumiati Sumiati Syahputra, Rangga Dhika Widjajati, Endang Pudji Yulio Adrianus Yupiya Dwi Nur Ariska Yupiya Dwi Nur Ariska Yusuf , Rafly Bachtiar Yusuf Drajat Kurniawan