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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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Analisis Beban Kerja Mental pada Teknologi Tepat Guna (TTG) untuk Mesin Pertanian Menggunakan Parameter Variabilitas Denyut Jantung (HRV) Khofani, Tanfidia Eka; Yassierli, Yassierli; Rahman, Taufik; Mayasti, Nur Kartika Indah
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.v13i2.7206.91-102

Abstract

Appropriate Technology (AT) is designed to substitute manual work and to increase productivity for small-medium businesses. Due to its low-cost technology that affects its design quality, the acceptance of AT appears to be low. A guideline has yet to be available to determine AT's design quality. The purpose of this study was to explore the efficacy of physiological measures collected from a Heart Rate Monitor (HRM) in differentiating mental workload in using AT. If applicable, these measures can provide objective data for AT evaluation. Several parameters were collected from HRM, including frequency domain and time domain. Two ATs were used for evaluation that represented “good” and “poor” agricultural processing machines. Eleven participants were involved in this study in which they used both ATs. The result of this studyis the ratio of Low Frequency and High Frequency (LF/HF) parameter detects differences perceived by the participants. The increase in the LF/HF value from the Commercial Extruder to the Customized Extruder is directly proportional to the increase in mental workload, where the Commercial Extruder is defined as a “good” AT design, and the Customized Extruder as a “poor” AT design. Therefore, it can be concluded that designs with specific guidelines can reduce the mental workload perceived by operators.
Estimasi Keandalan Sistem Mekanikal Dependen Menggunakan Fungsi Copula Ramadhani, Adhitya Ryan; Pranowo, Waskito
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.v13i2.7219.103-112

Abstract

This paper addresses the challenge of assessing the reliability of complex mechanical systems where components are inherently correlated in their failure modes. Traditionally, the assumption of independence among these components has been employed, but it often fails to capture the real-world complexities. To overcome this limitation, copula functions are introduced as a robust methodology for modeling the dependent relationships between correlated variables within mechanical systems. This paper aims to demonstrate the utility of copulas in estimating system reliability while accounting for these dependencies. The results reveal that the Clayton copula emerges as the most suitable model for representing dependence in such systems. Importantly, the reliability estimates obtained through copula-based methods not only reflect the complex interdependencies accurately but also align with the principles of the boundary theory of reliability. This research underscores the potential of copula-based reliability estimation as a valuable alternative, offering a more comprehensive and precise assessment of reliability in complex mechanical systems and holding significant promise for practical engineering applications. This framework allows the consideration of dependence among the observed variables that is usually overlooked in engineering practice.
Penentuan Profil Pengunjung Lokal Maupun Wisatawan dengan Teknik K-means Clustering untuk Menentukan Strategi Suatu Ritel Artha, Fajar Stevano; Astanti, Ririn Diar; Suharyanti, Yosephine
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.v13i2.7270.113-126

Abstract

The tourism sector undeniably has a significant economic impact on a region. One of the activities of tourists is shopping, which can create an additional market share for retailers. Therefore, retailers need to seize this opportunity by implementing strategies tailored to the profiles of both local and tourist visitors. This article proposes a retail strategy based on the analysis of local and tourist visitor profiles, using transaction data from Point of Sales (POS) to classify visitors based on their distance from the retailer. Hypothesis testing is conducted to understand the differences in purchasing patterns between local and tourist visitors, along with K-means clustering techniques to group visitors based on distance, age, and purchase value. The interpretation of clustering results helps identify purchasing patterns in each group, enabling retailers to adjust marketing and promotional strategies according to customer profiles. Through clustering analysis in a case study of a retailer in Yogyakarta, Indonesia, three main customer groups were identified: inactive, active, and out-of-town visitors. Retailers should prioritize efforts on active groups, especially Cluster 4, with active members and high transaction values. Clusters 6 and 9 should also be targeted to increase the probability of becoming Cluster 4. Group 1 can be disregarded in marketing efforts, and retailers should tailor their strategies for Group 3 based on their visitation patterns.
Analisis Pengaruh E-Service Quality, E-Word Of Mouth, serta Promotion dan Ads Terhadap Loyalitas Konsumen di Marketplace Sadeli, Deva Ismaya; Aritonang, Y. M. Kinley
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.v13i2.7278.127-142

Abstract

The trend of digital-based transactions continues to increase along with the implementation of social restrictions during the pandemic, even it becomes a new habit for the millennial generation after the pandemic ends. In Southeast Asia, Indonesia was the first rank for the retail sales through e-commerce in 2021. The competition among e-commerce, especially the marketplaces in Indonesia has become very tight. Customer satisfaction, trust and loyalty are the important indicators for improving marketplace performance.  In this research, there are three main factors that are further investigated for their influence on customer satisfaction, trust, and loyalty namely e-service quality, e-word of mouth along with promotion and ads. The research was conducted on 162 Tokopedia user with the majority of the millennial generation. Hypothesis testing was carried out using the partial least square structural equation (PLS-SEM) technique. The results of this study indicate that e-service quality has a significant effect on loyalty through satisfaction and trust, promotion and ads has a significant effect on loyalty through satisfaction, and e-word of mouth has no significant effect on satisfaction, trust and consumer loyalty. To get consumer loyalty, the marketplace can improve e-service quality which has the most significant effect followed by promotion and ads.
Desain Mitigasi Risiko Rantai Pasok Darah Menggunakan Pendekatan Baru Heryanto, Rainisa Maini; Liputra, David Try; Arisandhy, Vivi; Amalina, Ninda Nurseha
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.v13i2.7326.143-156

Abstract

Blood is an essential component for body and plays critical role in human survival. Hospital blood banks (HBB) are responsible for ensuring availability and safety of blood in particular area. Risks that could arise in blood supply chain at HBB need to receive full attention, especially in the event of an outbreak or disaster. This attention is necessary to ensure smooth flow of activities, information, products, and finances. The primary objective of this research is to develop risk mitigation design for the blood supply chain. This research focuses on case study at HBB in Bandung City with specific focus on packaged red blood cells. The new approach used in this research involves initiating process by collecting potential risks, which are then defined and classified within the supply chain operations reference (SCOR) model. Subsequently, questionnaires were distributed to gather input for calculating weights using the analytical hierarchy process (AHP). Following step involves identifying root cause of these risk through fault tree analysis (FTA) and determining the most influential risk causes using failure mode effect and analysis (FMEA). Final phase entails designing strategies for mitigating risks in blood supply chain. This research aims to assist HBB facilities in prioritizing risks for treatment and implementing strategies to minimize these risks within their respective areas. According to AHP results, risk with the highest weight (0.173) is unavailability of blood stock at Indonesian Red Cross due to a shortage of donors. This risk can be mitigated by incorporating blood donation activities in agencies and HBB. The new approach in the research could provide more detailed mapping of blood supply chain risks.
Perbandingan Metode Moving Average dan Exponential Smoothing untuk Mengestimasi Jumlah Gangguan Layanan Internet Prastyabudi, Wahyu Andy; Shamaradewa, Shanggabuana Adhitya
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.v13i2.7609.157-176

Abstract

Fairly tight competition in telecommunication business requires companies to continue improving the quality of their services, including handling network problems or customer complaints. However, the amount of disturbance that occurs is often unpredictable. Indeed, this condition will impact the allocation of resources and budget for handling customer disturbances in the following period, with uncertainty. This research aims to apply the moving average (MA) and single exponential smoothing (SES) forecasting methods to predict the number of internet service disruptions. The case study used in this paper is an internet service provider company with service coverage in the northern part of Surabaya. The number of disturbances data was collected from January 2022 to May 2022, with 18,453 data in total. The disturbances can be divided into five types: physical, mass, logical, PSB/migration, and others. Forecasting is carried out using the MA method with a period of three months. Meanwhile, forecasting using the SES method was carried out by first determining the alpha value that produces the smallest Mean Absolute Percentage Error (MAPE) value. The analysis results show that both forecasting methods are relatively effective and efficient in estimating the number of disturbances. Forecasting performance testing was carried out by measuring the Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE) values. The results of forecasting performance measurements show that the SES method is much better than MA for all types of disturbance data, with MAPE values ​​below 2%.
Rough Cut Capacity Planning dengan Menggunakan Matriks Skill dalam Pemenuhan Order di PT X Manufaktur Furnitur Arifin, Muhamad; Tjandra, Sugih Sudharma
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.v13i2.7639.177-190

Abstract

The COVID-19 pandemic has had a significant impact on a variety of sectors, including the furniture manufacturing industry. The industry is undergoing drastic demand changes, complicating adjustment efforts during the pandemic. Additional human resources (HRM) is becoming a more complex challenge due to strict health protocols and the necessary vaccination efforts. In this context, increased availability of capacity has become critical, but an appropriate approach has not been revealed in the literature. As for the in-depth literature study, it covers various methods of increasing production capacity, such as adding human resources, machines, shift work systems, overtime, and subcontractors. The research focuses on a new way to multi-skill by using the skill matrix as an innovative method to increase the availability of capacity at PT X, a furniture manufacturing company. Using Rough Cut Capacity Planning (RCCP), the study describes current production capacity, analyzes the impact of post-COVID demand shifts, and evaluates the effectiveness of multi-skill application with a skill matrix in improving production flexibility and responsiveness. The research findings provide valuable insights for furniture companies and related sectors in dealing with post-COVID dynamics, as well as providing the basis for developing more adaptive and sustainable capacity planning strategies.
Penerapan Lightning Search Algorithm dengan 2-Opt Local Search untuk Penyelesaian Asymmetric Traveling Salesman Problem Gunawan, Yulius Chandra; Sandy, Ignatius A.
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.v13i2.7760.191-202

Abstract

The Asymmetric Traveling Salesman Problem (ATSP) is an optimization problem where a "salesman" must visit several cities in a single trip. In the ATSP, the distance traveled from city i to j differs from the distance from city j to i. The goal of the ATSP is to minimize the total distance traveled by the "salesman." In this study, the Lightning Search Algorithm (LSA) and the 2-Opt local search algorithm are used to find solutions for the ATSP. LSA is a metaheuristic algorithm inspired by the process of lightning propagation to the earth's surface. 2-Opt is a local search algorithm that can manipulate routes to produce better solutions. This research aims to design LSA with 2-Opt for solving the ATSP and to identify the parameters that influence the ATSP solution. Three parameters are used in this study: maximum channel time (max_ctime) and forking probability (fork_prob), which are responsible for the forking phenomenon, and Boundaries (Bound), which define the solution space. ANOVA testing was conducted on 8 parameter combinations implemented on 5 ATSP cases from TSPLIB: BR17, FTV33, FTV44, FTV55, and FTV70 to determine the best parameter values. The ANOVA results show that the Bound parameter affects the solution in the FTV33, FTV44, and FTV70 cases, while the max_ctime parameter affects the solution in the FTV55 case. Based on the determined parameter values, the LSA with 2-Opt was re-implemented on the five ATSP cases. The results show that the LSA with 2-Opt was able to find the best-known solution for the BR17 case but was unable to find the best-known solution for the other cases.
English: Bahasa Indonesia Lestari, Shyntiya Ayu; Putri, Dian Kemala
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.v13i2.7773.1-16

Abstract

The concentration of studies is very important to support students in understanding the theory and understanding the concepts during learning activities so this needs to be noted so that students can achieve good learning outcomes. Studying while working will certainly cause serious problems to the process of activities on campus and at work. Problems that often occur are piling up tasks, difficulty managing time, fatigue, disputes between colleagues and superiors, a toxic work environment, limited rest time, being expelled from university, and experiencing a delay in graduation. These can trigger job stress for students because they have to do two activities in their daily lives. This study aims to find out the effect of job stress levels on study concentration in working students. In addition, this study analyzes the factors that influence job stress and study concentration. The method used is quantitative analysis with a non-probability sampling technique with a purposive sampling technique. The analysis of data carried out was a Chi-Square test and t-test. Based on the results shows that students who study while working have a very high level of job stress which causes a decrease in learning concentration in students. In addition, several factors influence job stress and study concentration, namely gender, age, type of work, and length of work duration. This research contributes to providing an overview and consideration to students about students who study while working.
Perancangan Aplikasi Marketplace Meal Kit Sebagai Upaya Mendukung Pola Hidup Sehat dan Reduksi Sampah Makanan Lim, Chandra; Hariandja, Johanna
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.v14i1.7109.1-24

Abstract

During pandemic, the increase in healthy lifestyle adoption through home cooking has led to a significant surge in household food waste, with a percentage up to 37%. One of the viable solutions that could be applied is using meal kit which potentially curbing 1,24 million tons of food waste annually. Based on the survey and interviews, respondents are interested in meal kit marketplace application as an effort to support healthy lifestyles and reduce food waste. The method used to design the application is interaction design lifecycle model. The needs identification that was done by semi-structured interviews generates 13 groups of primary customer’s needs and 7 seller's needs. The results of identified needs was made into 3 alternative design plans, be it for the buyers or sellers. The selected alternative design is developed into high-fidelity prototype named FoodLab. The prototype is evaluated using task completion and SUS questionnaire. For the buyers, they have an average effectiveness criteria of 88%, efficiency criteria of 83,67%, and SUS score of 80,71. For the sellers, they have an average effectiveness criteria of 100%, efficiency criteria of 100%, and SUS score of 90. The SUS value has crossed the acceptance value of 68, while the effectiveness and efficiency are in the very effective and efficient category (>80%). Based on the evaluation result, several improvement were planned, such as increasing the button and font size, attaching portion information, and providing cooking tutorial video pages.

Page 30 of 36 | Total Record : 360

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