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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
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Productivity Analysis of Production Units using Objective Matrix and Root Cause Analysis Methods Nugroho, Ayyasy; Aryanny, Enny
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5059

Abstract

PT XYZ is a company engaged in the liquefied petroleum gas (LPG) processing industry. In recent years, the company has faced significant fluctuations in production, deviating from its established targets. This issue has led to a decline in productivity over time. To address this, the study applies the Objective Matrix (OMAX) method to analyze key performance factors measuring LPG productivity from October 2023 to September 2024. The OMAX calculations reveal fluctuations, with the highest achievement recorded in August 2024 at 961.8 and the lowest in February 2024 at 173. Root Cause Analysis (RCA) was conducted to identify the primary causes of productivity decline, uncovering three critical factors: raw materials (Ratio 1), machine operating hours (Ratio 3), and idle machine hours (Ratio 4). These factors significantly contributed to reduced productivity due to unstable feed gas supply, high contamination levels affecting feed gas quality, machine downtime, and insufficient supervision and employee training. To enhance LPG productivity in the future, this study recommends several improvement strategies, including the development of gas exploration and extraction, strengthening raw material quality monitoring systems, implementing a more structured maintenance and repair plan, and providing intensive training programs for workers.
Optimization of Workstation Capacity using the Theory of Constraints Approach to Increase Production Output Putri, Fadilla Umeida; Aryanny, Enny
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5033

Abstract

A manufacturing company in Surabaya that produces various metal-based products is facing bottleneck issues, particularly in the production of steel doors and fire doors, due to an imbalance in machine capacity and cycle time. This problem has led to an accumulation of semi-finished goods and a decline in production efficiency. To address this issue, this study applies the Theory of Constraints (TOC) to redesign production planning through five key stages. Based on Rough-Cut Capacity Planning (RCCP) calculations, bottlenecks were identified at the bending workstation (SK-2), assembly workstation (SK-3), and painting workstation (SK-5). To mitigate these constraints, an additional 7 hours of overtime was implemented at these three workstations from July to November 2024. This strategy successfully increased fire door production from 89 units with a throughput of Rp178,000,000 to 167 units with a throughput of Rp334,000,000, reflecting a growth of Rp156,000,000 (46.7%). These findings demonstrate that the proposed approach is effective in optimizing throughput and maximizing production capacity utilization.
Analysis of waste in the flow process warehouse using the lean warehousing method at ABC Company Pamungkas, Catur Arta; Aryanny, Enny
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 1 March 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i1.136

Abstract

ABC Company is a manufacturing company that produces animal feed using raw materials stored in a warehouse. One type of raw material that is widely used for animal feed production needs is the premix type of raw material in warehouse 1. The large number of raw material needs makes warehouse activities increase. The large number of activities causes the warehouse to often experience wasteful activities with a lead time exceeding the company's standard of 420 minutes. This waste can reduce the effectiveness and efficiency of the warehousing flow process. Therefore, the purpose of this study is to determine what waste occurs in the warehouse using the lean warehousing method and to provide suggestions for improvements with Plan, Do, Check, Action and Seiri, Seiton, Seiso, Seiketsu, Shitsuke. Analysis carried out using the lean warehousing method is important for the category of activities that add value, the category of activities that are needed, the category of activities that are not needed, and the time of warehousing flow can be known through value stream mapping both before and after improvement. From the analysis conducted, it was found that there were 52 warehouse flow activities with an activity time of 556 minutes, which after being given a proposal for improvement in the warehouse flow process activities decreased to 39 activities with a lead time of 304 minutes.
Analisis Sentimen Penilaian Pengguna Aplikasi ACI – Ojek Online Indonesia dengan Metode Naïve Bayes Irawan, Michael Aria; Aryanny, Enny
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2254

Abstract

The advancement of industrial technology and current lifestyle changes are rooted in the industrial revolution. The widespread penetration of the internet and the advancement of smartphone technology have played a crucial role in the development of this business model, driving overall industry growth. With the support of GPS technology, digital payments, and mobile applications, consumers can easily order these services. The ACI – Indonesian Online Ojek Application is one example of a platform that provides this service. However, with the surge of users in this digital era, the ACI – Indonesian Online Ojek Application faces significant challenges in competing with more established competitor applications. As can be seen on the Google Play Store platform, this application still has a lower rating compared to other competitors such as Gojek, Grab, Maxim, inDrive, and Omega. The determination of the rating count on the Google Play Store has several determining factors, one of which is user evaluation in using the application. Therefore, this research aims to check whether these problems exist, by analyzing user comment data using the Naïve Bayes method, and propose improvements using the 5W+1H method. The research results show that the sentiment analysis classification analysis using the Naïve Bayes method is 0.83 or 83%, which shows that the classification results can predict 83% correctly from the overall data, and in negative sentiment, there are 4 words that appear most often, in this case, the most complained about by users are the words application, driver, restaurant, and order. Thus, it can be concluded that there is a large amount of negative sentiment from application users, and it is best for the ACI application to improve the quality of its application performance.
Waste Analysis in the Power Change Process to Reduce Waste Using the Lean Service Method: Analisis Pemborosan pada Proses Perubahan Daya Untuk Mengurangi Pemborosan dengan Metode Lean Service Ahmad, Dzaki Syahriar; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1593

Abstract

General Background: Service inefficiencies in utility companies can significantly hinder customer satisfaction and operational effectiveness. Specific Background: At PT XYZ, the power-change service process for Medium Voltage (MV) customers has faced persistent delays and procedural complications. Knowledge Gap: While Lean methodologies have been applied in manufacturing, limited research exists on their implementation within utility service workflows, particularly for MV customer segments. Aims: This study aims to analyze and minimize Waste within PT XYZ’s MV power-change service using the Lean Service approach.  Results: Utilizing Process Activity Mapping (PAM) and Value Stream Mapping (VSM), five major Waste types were identified: document delays (W3), miscommunication (UC2), incorrect materials (II1), material delays (W2), and bureaucratic procedures (L1). Root Cause Analysis with Fishbone Diagrams informed targeted interventions, such as digital forms, visual SOPs, and Just-in-Time material management. These measures raised Process Cycle Efficiency (PCE) from 49.2% to 60.7%, and shortened lead time by 8,160 minutes. Novelty: The integration of PAM and Lean VSM in a utility service context, with tailored communication and digital solutions, represents a novel adaptation of industrial Lean tools. Implications: Findings demonstrate the applicability of Lean Service tools in complex service environments, offering actionable insights for utility firms aiming to enhance performance and customer experience.  Highlights: Identifies key service inefficiencies using Lean tools. Achieves significant gains in efficiency and lead-time. Introduces tailored digital and visual process improvements. Keywords: Lean Service, Process Efficiency, Value Stream Mapping, Waste Reduction, Utility Services
Pemanfaatan Teknologi Packaging untuk Meningkatkan Kualitas dan Keamanan Produk Pangan Lokal Safirin, Mohammad Tutuk; Samanhudi, Didi; Aryanny, Enny; Pudji W., Endang
Jurnal Abdimas Peradaban Vol. 4 No. 1 (2023): Jurnal Abdimas Peradaban
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/1psc9a63

Abstract

Pengemasan merupakan bagian penting di dalam proses produksi. Hal ini dikarenakan pengemasan berfungsi untuk dapat meningkatkan kualitas dan juga keamanan, khususnya di dalam produk pangan. Penelitian ini akan melihat mengenai bagaimana pemanfaatan dari teknologi packaging untuk dapat meningkatkan kualitas dan keamanan pangan produk lokal. Penelitian ini akan dilaksanakan dengan menggunakan pendekatan kualitatif deskriptif. Studi kepustakaan digunakan untuk mengumpulkan data penelitian. Hasil dari penelitian ini kemudian menemukan bahwa teknologi pengemasan dapat memberikan kontribusi untuk meningkatkan kualitas dan keamanan produk pangan. Terdapat berbagai teknologi dalam pengemasan produk pangan. Teknologi tersebut memiliki kelebihannya sendiri masing-masing, seperti dapat meningkatkan daya simpan, mencegah kerusakan yang diakibatkan oleh mikroorganisme, hingga mengurangi limbah yang berbahan dasar plastik. Namun sayangnya setiap teknologi tersebut juga memiliki kekurangannya masing-masing. Oleh karena itu perlu adanya pemahaman dan sinergi yang kuat dari semua pihak untuk mengatasi tantangan dan kesulitan yang terkait dengan penggunaannya.
Product Defect Level Analysis Bone Plate with The Six Sigma Method and Fuzzy Failure Mode and Effect Analysis (F-FMEA) : Analisis Tingkat Kecacatan Produk Bone Plate dengan Metode Six Sigma dan Fuzzy Failure Mode and Effect Analysis (F-FMEA) Rizkyllah, Arya Bagus; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1477

Abstract

General Background: Product quality plays a crucial role in influencing consumer decisions, particularly in the medical device industry. Specific Background: PT XYZ is a manufacturer of orthopedic and traumatology implants, where even minor defects can have serious implications. Knowledge Gap: However, limited research has been conducted on identifying and mitigating product defects within this specific manufacturing context using integrated quality improvement methods. Aims: This study aims to evaluate the level and causes of product defects in order to provide targeted recommendations for quality enhancement. Results: The analysis revealed that the most frequent defect occurred in the hole diameter of the implant, with a total of 455 defective units. The process had a Defects Per Million Opportunities (DPMO) of 33,343 and an average sigma level of 3.33. The primary cause was the imprecise initial dimensions of the plate, resulting in a Fuzzy Risk Priority Number (FRPN) of 3.82. Novelty: The study uniquely integrates Six Sigma and Fuzzy Failure Mode and Effects Analysis (FMEA) to prioritize and address quality risks in a high-stakes manufacturing environment. Implications: It is recommended to implement raw material inspection prior to production to reduce defect rates and advance toward zero-defect manufacturing. Highlights: Identified critical defect in implant hole diameter. Integrated Six Sigma and Fuzzy FMEA for risk prioritization. Recommended raw material checks to reduce defects. Keywords: Product Quality, Six Sigma, Fuzzy FMEA, Orthopedic Implants, Defect Analysis
Analysis of NPK Phonska Fertilizer Bag Defects Using FTA and FMEA Methods at PT XYZ Prashodang, Tryandika Rizkat; Aryanny, Enny
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2195

Abstract

This study aims to analyze the defects in NPK Phonska fertilizer bags at PT XYZ, focusing on three main types of defects: torn bags, loose seams, and uneven stitching. From February 2024 to January 2025, a total of 33,159 tons of NPK Phonska bags were found defective, representing 6.639% of the total production. The probability of the defects occurring were calculated as follows: torn bags with a probability of 2.219%, loose seams with 2,003%, and uneven stitching with 1.388%. The research was conducted using Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods to identify the root causes and prioritize improvements. FTA was used to trace the causes of defects from a top-down perspective, while FMEA helped assess potential failures and their impacts, assigning Risk Priority Numbers (RPN) to prioritize corrective actions. The findings revealed that human errors, machine malfunctions, and inadequate work environments are the primary causes of the defects. The study concluded that improving the bagging process requires adding operators, implementing a rolling work system, conducting regular machine calibration, increasing workforce capacity to meet production deadlines, and ensuring a safe working environment. The recommendations aim to reduce defect rates and enhance productivity in the warehouse.
Determining The Optimal Milk Distribution Route Using The Ant Colony Optimization Method on Milk Industry Hakim Gusti, Mohamad Lukman; Aryanny, Enny
Spektrum Industri Vol. 21 No. 2 (2023): Spektrum Industri - October 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v21i2.92

Abstract

A good distribution system will ensure the availability of products or goods needed by the community. The objective of this research is to identify the most efficient route for distributing UHT milk on Milk Industry, with the goal of minimizing the overall distance traveled during distribution. The contribution of this study is to determine the optimal distribution route for UHT milk on Milk Industry. Data analysis or data calculation is done using Ant Colony optimization. The independent variables used are the initial distribution route data of the company, agent location data, product demand data, and distance data between agents. The results of this study found that the company's route resulted in a total route distance of 251.95 km while for the optimal total distance Ant Colony Optimization method is the total route distance of 230.2 km. Thus, the optimal route of the distribution of Ant Colony Optimization method is better than the initial route of the company with a total route distance savings of 21.75 km with a percentage of savings of 8.63%.
Analisis Pengendalian Kualitas Air Distribusi dengan Metode Quality Control Circle dan FMEA (Failure Mode and Effect Analysis) di Perumdam X Furqoni, Alzain Intan; Aryanny, Enny
Ekonomis: Journal of Economics and Business Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v9i2.1902

Abstract

This study aims to improve the quality of distributed water so that it complies with the established standards of PH, turbidity, and temperature. The results of the study indicate that the percentage of non-conformities in the distribution water production process from highest to lowest in order is the type of PH quality (37%), the type of turbidity quality (32%), and the type of temperature quality (31%). Recommendations for improvement are to create Standard Operating Procedures (SOPs) for employees to regulate coagulant dosing more regularly and on schedule, to reschedule ACH dose settings more regularly (for example every 3 hours), to provide training to employees on how to administer the correct dose and the importance of administering the correct dose during the production process, to establish a routine schedule for periodic recalibration of measuring instruments and ensure all laboratory equipment complies with the established standards, and to replace the existing tube settler with a unit made of stronger, high-quality material, as well as to update the structural design to improve stability and durability.
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