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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
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Sentiment Analysis of Lazada Marketplace User Ratings with Naïve Bayes and Support Vector Machine Methods Setyabudi, Sugeng; Aryanny, Enny
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/sww8cg21

Abstract

This research analyzes the sentiment of Lazada Marketplace users using Naïve Bayes and Support Vector Machine (SVM) methods. This sentiment analysis is important to understand customer perceptions, which can help Lazada in developing service improvement strategies and business policies. Data was obtained through web scraping, resulting in 5,261 comments divided into 80% training data and 20% test data. The text preprocessing process includes cleaning, case folding, stopword removal, tokenizing, and stemming to ensure the data is cleaner and more structured. The test results show that SVM performs better with 75% accuracy, 74% precision, 86% recall, and 79% F1-score, compared to Naïve Bayes which has 72% accuracy, 75% precision, 76% recall, and 76% F1-score on positive sentiment. The confusion matrix evaluation shows that SVM is more consistent in classifying positive, neutral, and negative sentiments. Word cloud visualization on negative sentiment revealed that the main customer complaints were related to the app, late delivery, and product mismatch. These findings can be used by Lazada to improve service quality by improving the technical aspects of the app, optimizing logistics, as well as improving quality control of products sold by the store to increase customer satisfaction and user loyalty.
Defect Analysis of Packaging Bottle Products Using Six Sigma and Kaizen Methods at PT. XYZ Muttaqin, Nashrotul Ummah Al; Aryanny, Enny
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 1: February 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i1.22420

Abstract

PT XYZ is a company engaged in manufacturing plastic packaging. The company produces various forms of packaging, one of which is cosmetic bottle packaging. Meanwhile, based on the problems of the production process, various types of product defects such as black spots, leaks, and oil dirt are often found. The company produces the most defective products in 30ml cosmetic bottle products, with a percentage of 3% to 4% of the total production. Based on the above problems, this study aims to determine the level of defects and the sigma value of product quality. In addition, provide suggestions for improvement to reduce the level of product defects at PT XYZ. The methods used are Six sigma and Kaizen. The Six Sigma stages include define, measure, analyze, and improve. The improve stage is assisted by the Kaizen Five M Checklist and Kaizen Five Step Plan. The improve stage is assisted by the Kaizen Five M Checklist and Kaizen Five Step Plan. Based on the results of research with the six sigma method, the percentage of black spot defects is 74%, leaking is 14.1%, and dirty oil is 11.9%. the proposed improvements given are providing 5S training and SOP refreshment, sorting reject products before grinding, cleaning the machine and production area at the end of each shift, replacing blowpin threads and bolts, and others.
Risk Mitigation Strategies in Jumbo Bagging Process Using Failure Mode and Effect Analysis and Fault Tree Analysis Methods : Strategi Mitigasi Risiko pada Proses Jumbo Bagging dengan Menggunakan Metode Failure Mode and Effect Analysis dan Fault Tree Analysis Izhaq, Dhuha Cahya; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.1406

Abstract

General Background: In industrial packaging systems, risk mitigation is essential to ensure operational continuity and product quality. Specific Background: At PT XYZ, the jumbo bag packaging process has been hindered by critical failures such as inaccurate weighing and process disruptions. Knowledge Gap: Existing risk management practices lack integrated analysis tools that link failure prioritization with root cause identification. Aim: This study aims to develop an effective risk mitigation strategy using a combination of Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). Results: The analysis identified high-risk factors, including sensor failures, equipment instability, and manual handling issues. The highest Risk Priority Numbers (RPNs) guided focus areas, while FTA traced these to their root causes. Novelty: The study proposes a comprehensive automation-based solution—Alternative 5—integrating a Hopper Translator, Loadcell Weighing System, Conveyor in Bag, Machine D modifications, and PLC control. Implications: Implementation of this strategy significantly enhanced accuracy, safety, efficiency, and worker satisfaction. These findings underscore the value of automation and preventive maintenance as a synergistic approach to reducing operational risk and optimizing industrial performance.  Highlights: Identifies root causes of failure using FMEA–FTA integration. Proposes automation as a key solution to high-risk issues. Enhances accuracy, safety, and efficiency in packaging. Keywords: Risk Mitigation, FMEA, FTA, Automation, Packaging Process
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
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
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.
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 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 Harashta, Hafidz Raif Idris, Mukandar Irawan, Michael Aria Iriani Iriani Iriani Islami, Mega Cattleya Prameswari Annissaa Izhaq, Dhuha Cahya Jordyan A. Cahyono Lailatul Rohmah Laxmi Ratnaningsih M. Frizky Feri Setiawan M. Husin As Ari Minto Waluyo Moch. Yusuf Efendi Mochammad Daffa Amanullah Moh Rizky Ainul Yakin Moh Rizky Ainul Yakin Muhammad Faiz Fadilah Muhammad Faiz Fadilah Muhammad Mahfudh Bil Haqqi Muhammad Niqey Dzi Qolbin Saliem Mulyani, Mochammad Raihan Muttaqin, Nashrotul Ummah Al Nabila Sari, Anastasya Nufaisah, Nurah Nugroho, Ayyasy Nur Rohkma, Ais 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 Sabrina, Vina Safirin, Mohammad Tutuk Samanhudi, Didi Sarah Monica Christine Panjaitan Setyabudi, Sugeng Sugeng Setyabudi Sumiati Sumiati Syahputra, Rangga Dhika Widjajati, Endang Pudji Yulio Adrianus Yupiya Dwi Nur Ariska Yupiya Dwi Nur Ariska Yusuf , Rafly Bachtiar Yusuf Drajat Kurniawan