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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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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 and Effect Analysis (FMEA) Gracia Wiranatalie Damanik; Enny Aryanny
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): June
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 the dominant types of waste, investigate the underlying causes of quality failures, and formulate improvement recommendations to enhance the efficiency of the production process. The research employs an integrated approach combining Lean Six Sigma and Failure Mode and Effect Analysis (FMEA) to systematically identify inefficiencies and prioritize corrective actions. In contrast to previous studies that primarily focus on a single Critical to Quality (CTQ) characteristic within aluminum extrusion processes, this study examines four dominant CTQs, thereby providing a more comprehensive framework for quality improvement. The findings indicate that defects constitute the most critical form of waste, with the highest weight value of 0.1206, followed by waiting (0.0905) and transportation (0.0854). Further analysis using fishbone diagrams and FMEA reveals that denting defects represent the most significant failure mode, yielding the highest Risk Priority Number (RPN) of 336. Based on the proposed improvement initiatives, the company has the potential to eliminate all non-value-added (NVA) activities and substantially reduce necessary non-value-added (NNVA) activities. The implementation of these recommendations decreases the total production lead time from 2,435.59 minutes to 1,870.41 minutes, while increasing the proportion of value-added (VA) activities from 40.86% to 46.34%. These results demonstrate that the integration of Lean Six Sigma and FMEA provides an effective and systematic approach to improving process efficiency and product quality in aluminum extrusion manufacturing.  
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.
Analysis Of Time Waste In The X Woven Sarong Production Process Using Waste Assessment Model At Pt X Laxmi Ratnaningsih; Enny Aryanny
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 3: 2025
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i3.30249

Abstract

PT X is a textile manufacturing company known as a prominent producer of woven sarongs. Among its various brands, the X sarong is the flagship product due to its high market value. Despite its large production scale, inefficiencies in the form of waste were detected within the production process. In this study, waste assessment model is applied to detect and categorize different kinds of inefficiencies or waste present in a process. The production flow is visualized using value stream mapping, and the value stream analysis tools are implemented to evaluate each process activity and identify its value added contribution. Root Cause Analysis (RCA) identifies the main causes of inefficiencies, and the 5W + 1H method is applied to formulate improvement strategies. WAM results indicate the highest to lowest waste percentages are: overproduction (22%), defects (20%), inventory (19%), transportation (15%), motion (13%), waiting (8%), and overprocessing (4%). Based on the proposed improvements, 14 non-value-added activities were eliminated, reducing total activities from 133 to 114 and cutting the process time by 139 minutes—from 3,853 to 3,714 minutes. Following the improvements, the Value Stream Mapping (VSM) analysis reveals a rise in Process Cycle Efficiency (PCE), improving from 67.5% to 70%, demonstrating a positive impact in minimizing waste and enhancing production efficiency.
Inovasi Produk Hasil Budidaya Ikan Lele untuk Meningkatkan Pendapatan Keluarga di Kelurahan Balas Klumprik Surabaya Enny Aryanny; Iriani Iriani; M. Husin As Ari; M. Frizky Feri Setiawan
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.
Analisis Pemborosan dengan Metode Waste Assessment Model (WAM) dan Fuzzy-Failure Mode Effect Analysis (F-FMEA) di CV. XYZ Muhammad Mahfudh Bil Haqqi; Enny Aryanny
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.
Sentiment Analysis of Lazada Marketplace User Ratings with Naïve Bayes and Support Vector Machine Methods Sugeng Setyabudi; Enny Aryanny
Journal of Innovation and Technology Polbeng Series on Informatics (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.
Risk Mitigation in Cold Chain Sytem using ANP and FMEA : A Case Study of PT XYZ Lailatul Rohmah; Enny Aryanny
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.
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