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Jurnal Rekayasa Sistem Industri
Published by Universitas Katolik Parahyangan
ISSN : 02161036     EISSN : 23391499     DOI : https://doi.org/10.26593/jrsi.v7i1.2798.47-54
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and Maintenance Engineering Safety and Risk Management Service Innovation and Management Supply Chain Management Systems Modeling and Simulation Technology and Knowledge Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 360 Documents
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Peningkatan Efisiensi Layanan di Industri Kreatif Melalui Integrasi Lean Six Sigma dan SERVQUAL: Studi Kasus pada Agensi Kreatif XYZ Ardadi, Bonifasius Bima Sakti; Aritonang, Y.M. Kinley
Jurnal Rekayasa Sistem Industri Vol. 14 No. 1 (2025): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v14i1.9001.160-175

Abstract

This study discusses the urgency of improving operational efficiency and service quality in the creative industry by addressing theoretical gaps in the application of Lean Six Sigma (LSS) and SERVQUAL methodologies. XYZ Creative Agency, a provider of social media management services, was selected as a case study to emphasize the practical contributions of the research. The main challenges include service delivery delays and insufficient service assurance. The Lean Six Sigma and SERVQUAL methods were applied to analyze and resolve these issues. The SERVQUAL analysis results revealed positive gaps in the assurance dimension (+0.0615) and the reliability dimension (+0.0154), indicating the need to enhance information clarity, client trust, and service timeliness. Value Stream Mapping (VSM) identified that delays primarily occurred during the content approval stage, while Fishbone Diagram analysis uncovered root causes such as inadequate team coordination, ineffective communication, and underutilized technology. Implemented solutions included the use of a digital project management platform to improve process transparency and efficiency, regular employee training to enhance competencies, and the development of a client feedback system. The DMAIC approach employed in Lean Six Sigma proved effective in designing data-driven solutions to improve operational efficiency and service quality. The implementation of these solutions is expected to reduce delays, enhance client satisfaction, and strengthen XYZ’s competitiveness in the creative industry.
Life Cycle Assessment dan Life Cycle Cost untuk Serat Kenaf Irawati, Desrina Yusi; Kurniawati, Melati
Jurnal Rekayasa Sistem Industri Vol. 9 No. 3 (2020): Jurnal Rekayasa Sistem Industri Vol. 9 No. 3
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v9i3.4109.213-224

Abstract

Kenaf fiber from the kenaf plant is the excellent raw material for industry because of the various diversified products it produces. To develop sustainable kenaf fiber, information is needed on the strengths and weaknesses of kenaf cultivation systems with respect to productivity and environmental impact. Therefore, a comprehensive environmental and economic impact assessment was conducted from cultivating kenaf to kenaf fiber. The environmental impact assessment uses the Life Cycle Assessment (LCA) method and economic calculations from the life cycle of kenaf to kenaf fiber to collectors use the Life Cycle Cost (LCC) method. The calculation of environmental impacts is in accordance with the stages of ISO 14040, using a single score assessment. The LCA results show that the treatment stage is the highest contributor of the three groups of impact categories. The highest to the lowest in the impact category group that was influenced by the treatment stage were resources with a value of 21.4 mPt, human health with a value of 8.76 mPt, and ecosystem quality with a value of 1.91 mPt. The cost identified through the LCC is Rp. 6,088,468,333, NVP and B/Cnet are positive. The results of the sensitivity analysis if there is a reduction in production> 6%, the business is still profitable and can be run.
Pengaruh Aksesibilitas, Konektivitas, Kualitas Pelayanan, dan Kepuasan Penumpang terhadap Loyalitas Penumpang Mass Rapid Transit (MRT) Jakarta: The Influence of Accessibility, Connectivity, Service Quality, and Customer Satisfaction Towards Passenger Loyalty on Jakarta Mass Rapid Transit (MRT) Christiani, Agustina; Kayrra, Aqila
Jurnal Rekayasa Sistem Industri Vol. 13 No. 2 (2024): Vol. 13 No. 2 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i2.6501.17-28

Abstract

Traffic congestion is one of the main problems faced by people in Jakarta.  In fact, the government has already provided various public transportation services to overcome the traffic congestion.  However, it seems that people, especially in Jakarta, prefer to travel using their private vehicles.  The accumulation of private vehicles is one factor contributing to the traffic congestion in Jakarta, which is difficult to overcome.  Therefore, it is necessary to examine what factors can influence passenger’s loyalty to using public transportation, in this case, the MRT Jakarta.  In this research, the direct and indirect effects of accessibility, connectivity, and service quality factors will be tested on passenger loyalty through the passenger satisfaction factors. The sampling method used in this research is purposive sampling with the inverse square root method to determine the minimum sample. The data will be processed by using Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the help of SmartPLS software. As a result, it was found that the factors that directly influence passenger satisfaction are accessibility, connectivity, and quality of service.  The factors that directly affect passenger loyalty are connectivity and passenger satisfaction.  Lastly, the two factors that indirectly affect passenger loyalty through satisfaction are accessibility and service quality. From the results of this study, it is suggested that the MRT Jakarta management can improve MRT connectivity by shortening the waiting time between station stops, providing clarity regarding information for the next stop, clarity of information for passengers to make transfers with other modes of transportation, and convenience in transferring using other modes of transportation. With improved connectivity, accessibility, and quality of MRT services, passenger loyalty is hoped to increase.
Optimasi Berbasis GIS untuk Perancangan Rute Distribusi Gas Bumi: Studi Kasus PT Gagas Energi Indonesia Rachmawati, Nur Layli; Firarianti, Assyifa Aleyda
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6507.59-68

Abstract

PT Gagas Energi Indonesia is a company engaged in the trading and natural gas business, one of which is Gaslink C-Cyl. Route determination for Gaslink C-Cyl distribution is carried out subjectively based on the proximity of locations between customers, thus creating inefficient routes, affecting the number of vehicles needed, and causing high transportation costs. Based on this problem, this study aims to minimize transportation costs by determining the optimal route and number of vehicles needed using the Multi-Trip Vehicle Routing Problem Time Windows Simultaneous Pickup and Delivery (MTVRPTW-SPD). This problem is solved using Geographic Information System (GIS) based optimization. To evaluate GIS-based optimization performance, comparison between existing condition and optimization are done for 50 demand points. Then, two scenario was developed, 100 and 200 demand points to explain the decision implication related to demand uncertainty. Based on the optimization process for 50 demand points gives better solution than existing condition in term of number of fleets needed, total distance travelled, and total transportation cost which result 3 units, 46,5%, and 43,5% respectively.
Usulan Peningkatan Efektivitas Mesin Multi Bor dengan Menggunakan Metode Overall Resource Effectiveness dan Failure Mode Effect Analysis Sanjaya, Wahyu Eka Putra; Wardana, Rahmad Wisnu; Sanjaya , Wahyu Eka Putra; Garside, Annisa Kesy; Wardana , Rahmad Wisnu
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6520.69-78

Abstract

PT XYZ is a company engaged in the wood industry which is marketed for export. In carrying out the production process losses often occur in multi drill machines thereby reducing the effectiveness of the machine. These losses arise because the machine is often adjusted and experiences breakdowns. Therefore, this study will analyze the effectiveness of the multi drill machine using the Overall Resource Effectiveness (ORE) method. Furthermore, fishbone diagrams, Failure Mode Effect Analysis (FMEA), and Total Productive Maintenance will be used as a method for providing improvement suggestions to increase machine effectiveness. From the calculation results, the ORE value is 59.58% (below the standard, which is 85%). Furthermore, by using the fishbone and FMEA methods, 3 failure modes with the largest RPN values were taken. Proposed improvements to increase the effectiveness of multi-bore machines are the application of autonomous maintenance, quality maintenance, preventive maintenance, and provision of safety stock.
Seleksi Jabatan Fungsional Umum Inspektur Bandar Udara Dengan Pendekatan Analytic Hierarchy Process (AHP) Sutikno, Yusak; Saputra, Hendri
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6596.47-58

Abstract

Airport Inspector is a strategic position responsible for carrying out technical guidance activities in regulation, control, supervision, investigation and operational safety services in the airport sector. Therefore, assessing and selecting personnel with appropriate abilities, competencies, and performance is essential to ensure that the right candidate fills this position so that services can be provided optimally. The current selection process is considered to be only administrative, does not reflect the expected competencies and performance, and is less transparent, so the results cannot be accounted for. This research solves this problem by optimizing the selection process using one of the Multi Criteria Decisions Method (MCDM) approaches, the AHP method, where this approach has never been used before. Through AHP, the selection process can be carried out in a more structured, objective, transparent, and intuitive manner as expected. This research optimizes the existing assessment criteria so that all parties can still accept the results: Formal Education, Competency, Years of Service, and Work Performance. The result shows that Work Performance has the highest weighting value (0.513), followed by Competency (0.267), Work Period (0.119), and Formal Education (0.101). The synthesis value of all criteria/sub-criteria shows that Candidate 3 is the highest (scale 1 of 1), then Candidate (0.742 of 1), Candidate 4 (0.726 of 1), and Candidate 1 is the lowest (0.665 of 1).
Penerapan SHERPA untuk Identifikasi Kinerja dan Human Error Pengoperasian Mesin Induk Kapal Penangkap Ikan Yaqin, Rizqi Ilmal; Septianda, Devin; Priharanto, Yuniar Endri; Abrori, M. Zaki Latif
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6681.91-106

Abstract

Occupational accidents due to human errors in the operation of main engines on fishing vessels need to be considered because they can be fatal to the ship. This study aims to identify and analyze critical activities in the operation of fishing vessel main engines using the Systematic Human Error Reduction And Prediction Approach (SHERPA) method. The analytical method is to collect data by observation and interviews to fulfill the SHERPA tabulation. SHERPA analysis is closely related to using Hierarchial Task Analysis (HTA) diagrams to determine the amount of activity generated in the operation of fishing vessel main engines. In addition, work intensity analysis is applied to determine the stages that need to be considered in the operation of the main engine. Based on the resulting analysis, the highest work intensity is at the operating stage of the main engine. At the same time, the critical activity level is in closing the fuel faucet and the cooling system water faucet, which are included in the activity category of turning off the main engine. The findings of this study provide insight into handling critical activities in the operation of the main engine so that a strategy is needed to reduce human error in operation. The strategy for reducing this activity is strictly supervising and modifying or adding tools to make it easier for operators. The investigation results can inform the intensity and critical points of human error in the operation of fishing vessel main engines to reduce the occurrence of work accidents.
Analisis Statik dan Dinamik Struktur Tranduser pada Low-Cost Dynamometer untuk Mengukur Gaya Potong Proses Bubut Orthogonal Alfiyani, Risma; Susanto, Agus; Rezika, Wida Yuliar; Wicaksono, Ramadhana Eka; Mudmainah, Putri Hana Widyaning
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6746.107-116

Abstract

Cutting forces in turning process are usually measured using dynamometer and they can be used to evaluate the quality of the cutting process. Commercial dynamometers on the market today offered with quite expensive prices. Therefore, many researchers are trying to design dynamometers at more affordable prices. One of the most important components in designing a dynamometer is tranducer. This article discusses the design and static and dynamic analysis of a full octagonal shaped ring tranducer for measuring cutting forces in orthogonal cutting. The tranducer design is analysed statically using the Finite Element Method (FEM) and dynamically using the Experimental Modal Analysis (EMA) method to determine its structural strength. The results of the static analysis of the strength of the tranducer structure were able to withstand static loads of 224 to 388 N. It is because the tranducer stress did not exceed the yield strength of the material which is 233 MPa. While the dynamic analysis of the tranducer structure using EMA shows that the natural frequency, the damping ratio, the stiffness constant, the modal mass, and the damping coefficient 3851 Hz, 18.5 x 106 N/m, 1.04%, 32 g, and 16 N/s/m, respectively. With these dynamic parameter, the tranducer design for this low-cost dynamometer is safe and reliable when used in the turning process with spindle rotation speeds reaching 20 Krpm.
Peran Natural Language Processing dalam Proses Pengembangan Produk Baru: Tinjauan Literatur Simanullang, Gerald Shan Benediktus; The, Jin Ai
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6790.117-130

Abstract

Customer satisfaction is a key success factor for a business. To provide products that meet customer satisfaction, companies must be able to understand the customers’ needs and desires. Technological developments nowadays have helped companies to understand customer desires more easily so that companies can provide products that satisfy their customer. Natural Language Processing (NLP) is a technology that allows computers to process human language. NLP is also commonly referred as text-mining. NLP has been utilized in the New Product Development (NPD) process. We compiled studies related to NLP and NPD and conducted a literature review to map out how far NLP has been utilized in NPD processes. We found that in this era of Big Data, current NLP studies most often have the goal to process text data from online reviews on e-commerce and from social media. By using NLP, large amounts of data can produce valuable Voice of Customer (VOC) information for product development. We also found that NLP technology also has been utilized in other NPD processes that do not involve VOC, such as the design stage, document processing, and extraction of requirements in the NPD process.
Analisis Pengaruh Incremental Discount Pada Model Persediaan Multi Item Dengan Faktor Kedaluwarsa dan Kendala Kapasitas Silitonga, Roland; Kristiana, Leo Rama; Abel, Philo
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6840.131-144

Abstract

The retail industry engaged in the pharmaceutical sector such as pharmacies sells various types of medicinal products and medical chemicals with fluctuating demand characteristics. This is due to the emergence of diseases that cannot be predicted with certainty. Inventory management is an important aspect to ensure the availability of medicines when needed while still being able to minimize losses both from retained capital on goods and potential expiration. Medicinal products themselves have a certain shelf-life, so products that have expired cannot be used again and cause losses to company. The form of inventory management policy is the order lot size, time between orders and reorder points. To determine the size of the order lot, in addition to the expiration aspect, the limitations of the warehouse as a place of storage and purchase discount factors need to be considered. The existence of a discount policy from suppliers can be used to minimize purchasing costs which are a component of inventory costs. The form of the discount policy that is generally given is the all-unit discount, but for certain types of products the policy given is an incremental discount. The purpose of this study is to build a multi-item probabilistic inventory model by considering the expiration factor, warehouse capacity constraints, and purchasing discount policies. This research will compare two discount policies, namely incremental discount and all unit discount. Based on the results of the sensitivity analysis, it is known that the model is sensitive to the parameters of unit discount provisions, good goods fraction, and holding costs.

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