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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 Jurnal Kendali Teknik dan Sains 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
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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Failure Risk Analysis of Storage Tank Using the Risk-Based Inspection Method in a Biofuel Supply Company: Analisis Resiko Kegagalan Pada Storage Tank dengan Metode Risk Based Inspection Idris, Mukandar; Aryanny, Enny
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.v27i1.1686

Abstract

Background (General) Storage tanks play a critical role in ensuring the continuity and safety of biodiesel distribution, where structural integrity is essential to prevent environmental, operational, and safety hazards. Background (Specific) At PT XYZ, recurring issues such as corrosion and leakage indicate limitations in the current time-based inspection approach. Knowledge Gap Previous studies applied RBI or AHP separately, but few integrated technical risk data with multi-criteria decision-making to produce an inspection and maintenance strategy that is both objective and operationally relevant. Aim This study aims to assess the risk level of a biodiesel storage tank using an integrated Risk-Based Inspection (RBI) and Analytic Hierarchy Process (AHP) approach to determine optimal inspection intervals and maintenance priorities. Results The analysis shows that critical subsystems—Storage Tank, Piping, Automatic Gauge Tank, PRV, and PVV—fall into high and extreme risk categories, with the overall tank risk classified as medium; corrosion analysis indicates remaining life values between 51–107 years, leading to a recommended inspection interval of four years instead of five. Novelty This study offers a combined RBI–AHP framework that aligns quantitative risk factors with managerial decision priorities. Implications The findings support more precise, risk-informed maintenance planning to enhance safety, reliability, and operational continuity in biodiesel storage operations. Highlights: Identifies high-risk subsystems requiring prioritized inspection. Integrates RBI–AHP to produce objective maintenance decisions. Recommends shorter inspection intervals to enhance operational safety. Keywords: Risk-Based Inspection, Analytic Hierarchy Process, Storage Tank, Corrosion, Maintenance Strategy
Productivity Analysis of Production Department with Objective Matrix Method Lumban Gaol, Kristine; Aryanny, Enny
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2234

Abstract

PT XYZ is one of the international branded manufacturing companies engaged in the shoe industry and produces various brands of shoes. In 2024 the company's production on line 7 which produces Brooks brand shoes experienced a decrease in production results which caused the production target not to be achieved. From the production target of 526,624 units of Brooks brand shoes that have been targeted, line 7 production is only able to produce 473,405 units of shoes so that there is a decrease in the production of Brooks shoes by 10.10%. This research method used is Objective Matrix (OMAX). The results showed that the level of partial productivity in the production unit fluctuated with an increase and decrease in each period. Proposed improvements to increase productivity on line 7 are the establishment of a raw material inspection division with an analysis report (LA), integration of manufacturing information systems and ERP, and utilization of AI and IoT sensors for production efficiency.
Product Defect Analysis of PDH Shirts Using Fault Tree Analysis and Failure Mode and Effect Analysis Siregar, Rendi Robintang; Aryanny, Enny
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2235

Abstract

CV. Graha Konveksindo Sidoarjo is a manufacturing company that produces garments, with PDH shirts as one of its products. Problems identified at CV. Graha Konveksindo include defects in PDH shirts, totaling 891 pieces, with a defect rate of 12.95 %. This study aims to determine the types and causes of defects and provide suggestions for improvement. The methods used are Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). Based on the study results, four types of defects were found: reverse embroidery with an occurrence probability of 3.53%, untidy stitches with an occurrence probability of 3.34%, off-center emblems with an occurrence probability of 2.36%, and stains with an occurrence probability of 3.13%. Across these defect types, 15 root causes were identified as contributing factors. From the FMEA calculation results, the highest Risk Priority Number (RPN) was found in untidy stitch defects at 252, followed by the reverse embroidery defects emblem defects at 240, off center emblem defects at 210, and stain defects at 160. Some recommended improvement proposals to reduce product defects include providing operator training, conducting briefings before production, and routinely checking sewing and embroidery machines.
Analysis of Service Time Waste Using Lean Healthcare Method in the Neurology Outpatient Clinic : Analisis Pemborosan Waktu Pelayanan dengan Metode Lean Healthcare di Poli Syaraf Fauzia, Lavina Felda; Aryanny, Enny
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.v27i1.1678

Abstract

General Background: Healthcare organizations must reduce non–value-added (NVA) activities to improve patient experience and resource efficiency; Specific Background: the neurology outpatient clinic of Hospital XYZ experiences prolonged service cycles; Knowledge Gap: evidence is limited on combining end-to-end process mapping with structured risk prioritization to target time waste in outpatient pathways; Aims: this study identified dominant wastes and designed improvements using Lean Healthcare tools (Big Picture Mapping) and FMEA; Results: the baseline total service time was 9,158 s (2.54 h) with value-added time 837 s (9.14%) and NVA 89.99%, while the proposed future state reduced NVA time to 5,038 s (1.40 h) and increased value-added time to 16.61%; Novelty: the work integrates BPM-derived waste quantification with FMEA-based prioritization to translate waste diagnosis into actionable redesign; Implications: implementing streamlined registration (including online access), standard work, and routine facility maintenance can shorten outpatient lead time and support continuous quality improvement. Highlights: Baseline pathway shows very high NVA time (89.99%) versus value-added time (9.14%). Proposed future state cuts NVA time to 5,038 s (1.40 h) and raises value-added time to 16.61%. BPM + FMEA provides a practical workflow to quantify waste and prioritize fixes. Keywords: Lean Healthcare, Big Picture Mapping, FMEA, Outpatient Clinic, Service Time Waste  
Genetic Algorithm Driven Route Innovation for Minimizing Gym Dumbbell Distribution Distance and Cost: Inovasi Rute Berbasis Algoritma Genetika untuk Meminimalkan Jarak dan Biaya Distribusi Alat Gym Dumbel Aryadinata, Rafi; Aryanny, Enny
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.v27i1.1856

Abstract

General Background: Efficient distribution planning is essential to ensure timely delivery with reasonable operational costs. Specific Background: PT. ABC distributes gym equipment, with dumbbells as a high-demand product, yet its current route planning is not optimal, leading to longer travel time and higher distribution costs using pick-up trucks. Knowledge Gap: Prior route optimization approaches in similar contexts often emphasize distance reduction without explicitly incorporating vehicle load capacity, reducing realism for heavy-goods delivery. Aims: This study aims to determine an optimal capacitated distribution route for gym dumbbell deliveries at PT. ABC using a Genetic Algorithm within a Capacitated Vehicle Routing Problem (CVRP) framework to minimize total travel distance and distribution cost. Results: The proposed Genetic Algorithm solution produced four delivery routes totaling 174 km compared with the company’s 253.3 km, reducing distance by 79.3 km (31.3%) and lowering total distribution cost from IDR 313,300 to IDR 234,000, a reduction of IDR 79,300 (25.3%). Novelty: Vehicle load capacity is treated as an additional decision variable, making the optimized routes more representative of actual dumbbell distribution conditions. Implications: The findings support managerial decision-making for route planning, operational cost control, and transport fleet productivity, and demonstrate the suitability of Genetic Algorithms for CVRP-based distribution route optimization with realistic capacity considerations. Highlights: Total travel distance decreased by 79.3 km with 31.3% savings versus the existing routing approach. Total delivery expenditure declined by IDR 79,300, equivalent to 25.3% cost savings. Capacity-constrained routing produced four feasible delivery routes aligned with pick-up load limits. Keywords: Genetic Algorithm, Distribution Costs, Capacitated Vehicle Routing Problem, Optimal Route
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.
Co-Authors Ahmad Rizki A Ahmad, Dzaki Syahriar Aiful Firmansyah Aiful Firmansyah Ais Nur Rohkma Alif B. C. Putra Alrianto, Wahyu Putra 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 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 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 Ratnaningsih, Laxmi 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