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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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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
Risk Mitigation in Cold Chain Sytem using ANP and FMEA : A Case Study of PT XYZ Rohmah, Lailatul; Aryanny, Enny
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.690

Abstract

PT. XYZ is a company that focuses on exporting marine products, especially products for surimi products, PT. XYZ experienced problems in cold chain system activities such as declining quality of fish raw materials, limited cold storage capacity, diversity of supply quality and the risk of overloud storage, resulting in the inhibition of cold chain system activities. The purpose of this study is to identify the causes and provide appropriate mitigation strategies so that risks can be minimized by the Company. This study uses an integration method between ANP and FMEA, so that a WRPN (Weighted Risk Priority Number) value can be produced. Based on the results of the analysis using the integration of the two methods, WRPN was obtained with the highest priority on quality risk factors of 170.713 and storage risk factors of 153.087 so that both risk factors are classified as high risk and need to be mitigated. The mitigation measures provided include separation of contaminated fish, monitoring, microbiological testing, compliance with standards, SOP training, cold storage maintenance, cold storage forecasting, using the FIFO method, supervision of the use of cold storage.
Inovasi Produk Hasil Budidaya Ikan Lele untuk Meningkatkan Pendapatan Keluarga di Kelurahan Balas Klumprik Surabaya Aryanny, Enny; Iriani, Iriani; Ari, M. Husin As; Setiawan, M. Frizky Feri
ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2025): ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Publisher : UPT Publikasi dan Penerbitan Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/abdiunisap.v3i2.480

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan masyarakat pembudidaya ikan lele di Kelurahan Balas Klumprik, Kecamatan Wiyung, Kota Surabaya, dalam mengolah hasil budidaya menjadi produk bernilai tambah berupa ekado ikan lele. Kegiatan dilaksanakan melalui empat tahapan, yaitu perencanaan, persiapan, pelaksanaan, dan evaluasi. Metode pelaksanaan meliputi penyuluhan, pelatihan praktik pembuatan ekado, serta evaluasi menggunakan pre-test dan post-test untuk mengukur peningkatan pengetahuan peserta. Hasil kegiatan menunjukkan adanya peningkatan rata-rata skor pengetahuan peserta dari 42 menjadi 77,5 atau meningkat sebesar 35,5 poin (84,5%). Sebanyak 75% di antaranya berminat mengembangkan usaha rumahan berbasis produk olahan ikan lele. Kegiatan ini juga dapat berdampak pada peningkatan pendapatan keluarga per bulannya. Pelatihan ini terbukti efektif dalam meningkatkan kapasitas dan motivasi kewirausahaan masyarakat, sekaligus mendorong peangembangan ekonomi lokal berbasis potensi perikanan air tawar.
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
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