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Jurnal Rekayasa Sistem Industri
Core Subject : 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
Articles 30 Documents
Search results for , issue "Vol. 13 No. 2 (2024): Vol. 13 No. 2 (2024): Jurnal Rekayasa Sistem Industri" : 30 Documents clear
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.
Usulan Perencanaan Persediaan Produk FMCG Menggunakan Metode Algoritma Apriori dan Jaringan Syaraf Tiruan (JST) pada PT Borwita Indah: Proposed FMCG Product Inventory Planning Using the Apriori Algorithm Method and Artificial Neural Network (ANN) at PT Borwita Indah Putra, Bayu Triadi; Hunusalela, Zeny Fatimah; Satya, Ririn Regiana Dwi
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.v13i2.7015.29-44

Abstract

The problem faced by PT Borwita Indah is the occurrence of overstock and understock on FMCG products. This study aims to determine the inventory planning of FMCG products with related factors, namely sales results, stock of finished goods, and to be able to predict accurately so that there is no buildup of products in the warehouse. This research using the apriori algorithm for data collection with associative rules which is carried out through support and confidence calculation mechanisms and artificial neural networks for forecasting methods which have a fairly low data error rate and are good enough in the generalization process so that this model is able to predict timeseries data for several time periods for future. Itemset data pattern obtained resulted in a level of confidence in Head&Shoulders with Pantene 90.9%, and a level of confidence in Pantene with Head&Shoulders 90.9%. Meanwhile, the level of confidence for Vicks with Head&Shoulders reaches 100%. Forecasting results for the next 12 periods for each Pantene, Head&Shoulders, and Vicks product have a fluctuating forecasting trend so that safety stock can be taken into account. The amount of safety stock that must be in the company is 504 pcs of Pantene per day, 49 pcs of Head&Shoulders per day, 35 pcs of Vicks. It is hoped that with this research the company can carry out optimal product inventory control.
Analisa Beban Kerja Mental Operator Dengan Metode NASA TLX Di PT XYZ Sulistiyo, Wawan; Vitasari, Prima
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.v13i2.7087.45-52

Abstract

PT XYZ is a fermentation industry that uses Human Machine Interfaces (HMI) in the production process. With high mental workload of operators, it can disrupt company productivity. In 2021, the achievement of the percentage of production failure targets at PT XYZ has not reached the set target. The purpose of this study is to measure and make improvements to the mental workload at PT XYZ. The research method is to measure mental workload using the NASA TLX questionnaire, conduct data analysis using descriptive statistics, and conduct a paired t-test to compare the results of mental workload before and after improvement.. From the research results, the mental workload score was 72.64 in the high category. Of the six NASA TLX dimensions, operators experienced time demands of 24.1%, effort 23.1%, mental demands 22.3%, performance 20.2%, physical demands 9.3% and frustration 1.0%. The improvement results can reduce the high mental workload of operator from 82 to 74 with a significant level of 0.004, and increase the low mental workload of operators from 53 to 66 with a significant level of 0.129.
Penggabungan Model Servqual dan Kano untuk Mengukur Kepuasan Pelanggan terhadap Layanan Swab dan PCR Irawati, Desrina Yusi; Junita, Elisabet
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.v13i2.7119.53-64

Abstract

Swabs and PCR are ways to track patients infected with COVID-19. One private swab and PCR service provider in Surabaya offers swab and PCR tests with fast results and is open 24 hours a day. This research aims to determine service quality performance, identify the causes of consumer dissatisfaction, and identify service attributes that must be maintained and improved for Swab and PCR services in Surabaya. This research uses an integration of the Servqual and Kano methods. The integration of Servqual and Kano determines the service attributes to be improved. Data was obtained from a questionnaire using the five-dimensional Servqual approach, then calculated to get a gap value and categorized using the Blauth formula. The Servqual gap and the Blauth formula's category values are combined to make action decisions. The results state that swab and PCR service providers still need to improve all factors used in this research. Three attributes fall into the weak and indifferent category, so the decision that needs to be made is to ignore them because they do not affect consumer satisfaction and are not a priority for improvement. The other twenty-one attributes fall into the weak and one-dimensional category, meaning companies must improve these attributes to satisfy consumers. Companies need to make improvements to ensure better service, including increasing the number of medical officers to reduce fatigue and queues and providing training on medical procedures and communication skills for medical officers.  
Efisiensi Sistem Pelaporan Pajak sebagai Variabel Moderasi untuk Digitalisasi Kepatuhan Pajak Indrawan, Rizki
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.v13i2.7181.65-74

Abstract

The goal of this research is to examine the impact of tax digitalization, such as e-filling, and e-billing, on the efficiency of individual taxpayer reporting and tax compliance in the 4.0 era. The presence of tax digitalization as a type of tax administration modernization makes it easier for the general public, particularly taxpayers, to carry out their obligation. This study is a quantitative research. This study's variables include one dependent variable, two independent variables and one variabel moderating. The dependent variable is the tax compliance, while the independent variables are the use e-filling, and e-billing and the moderating variables is efficiency of taxpayer reporting. The population in this study is Individual taxpayers in Kuningan Regency, West Java. The samples in this research are 50 respondents that take the questionnaire with Likert scale as the measurement. This study used incidental sampling, with the research instrument being an online questionnaire distributed via social media. The data analysis method in this study uses Moderated Regression Analysis (MRA). According to the findings of this study efficiency tax system has not been proven to moderate the relationship between e-filling and e-billing with the tax compliance.
Pengaruh Employee Engagement Terhadap Kinerja Karyawan Dengan Moderasi Karakteristik Generasi Karyawan Pada Instansi Swasta Amrina, Elita; Foci, Nia Arfina; Hasan, Alizar
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.v13i2.7202.75-90

Abstract

Employee engagement is an important issue that is the main concern of the organization's leaders in managing its employees. The changing characteristics of the employee generation are becoming a specific challenge for human resource management. Employees who are engaged with their work will exert all their abilities, efforts, and thoughts and significantly contribute, where the engagement and personal characteristics possessed by employees in carrying out their work can directly impact their performance. This study aimed to analyze employee engagement's effect on employee performance by moderating the generational characteristics of private agency employees in the City of Padang, West Sumatra. Data was collected through questionnaires distributed to 100 employee respondents working in private institutions in the city of Padang, with purposive sampling technique. Then, the data is processed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method. The results of this study indicate that employee engagement generational characteristics (Y and Z generation) have a positive and significant effect on employee performance. Generational characteristics (Y and Z generation) also positively and significantly impact employee engagement. Generational characteristics do not moderate the relationship between employee involvement and employee performance, but directly employee engagement and employee performance can be improved with generational characteristic variables. Organizational leaders should pay attention to employee engagement and the characteristics of the generation of employees and can make it a potential to improve employee performance.
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.

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