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JRSI (Jurnal Rekayasa Sistem dan Industri)
Published by Universitas Telkom
ISSN : 23560843     EISSN : 25799142     DOI : https://doi.org/10.25124/jrsi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
Jurnal Rekayasa Sistem dan Industri (JRSI) or Journal of System and Industrial Engineering is a peer-reviewed and open-access scientific journal managed by the Faculty of Industrial Engineering, Telkom University. JRSI publishes scholarly articles originating from: Research findings,Conceptual ideas,Theory applications, and Analytical studies in the fields of system engineering and industrial engineering, particularly within the disciplines of Industrial Engineering and Information Systems.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 16 Documents
 1   2 
Designing An SKU Counter for Calculating SKU Assemblies In Warehousing: A Technology-Based Approach Feby Gusti Dendra; Agnes Vicky; Febriza Imansuri
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.9086

Abstract

Inventory management in warehouses faces challenges in terms of SKU (Stock Keeping Unit) counting accuracy, especially in the assembly process. The manual method used is not only time-consuming but also increases the risk of recording errors, which impacts overall operational performance. This study aims to design a technology-based SKU counter (Counting System) system to improve the efficiency and accuracy of assembly SKU counting. The system is designed with a warehouse technology approach that utilizes software to automatically count assembly SKUs and generate real-time inventory reports. Implementation is carried out through simulations in a warehouse environment to test aspects of speed and accuracy. The results show that the system is able to increase operational efficiency by up to 50%, optimize the inventory management process and significantly reduce recording errors in managing assembly SKUs in the warehouse.
Measuring Supply Chain Performance of Broiler Distributors and Producers Using SCOR and AHP Methods Oktaviani Rahmah Marddani; Syarif Hidayatuloh; Reza Ardiansyah Teguh Saputro; Khasbi Niami
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.9369

Abstract

CV. Sinar Pangan Mandiri is an industry engaged in the distribution and producers of broiler chickens. The company faces several problems, including a manual bookkeeping system and constrains related to long and time-consuming transportation distances that will have an impact on overall supply chain performance. CV. Sinar Pangan Mandiri has never conducted a performance measurement of its supply chain. Supply chain performance measurement is applied to assess the quality of the company’s supply chain, encourage implementation to evaluate the quality and efficiency of the supply chain, and identify potencial improvements that can increase the company’s competitiveness. In this research, the SCOR 12.0 model and AHP (Analitycal Hierarchy Process) methods were used. The results of the supply chain performance measurement obtained an average value of 85.25, falling into the good category. Further analysis of each SCOR core process at level 1, namely plan, source, make, and deliver, obtained performance values of 70.01, 100, 82.17, and 84.44, respectively. Thus, it can be concluded that the highest performance is in the source process, while the lowest performance is in the plan process. From these indicators, it shows that the supply chain process at CV Sinar Pangan Mandiri requires improvement in several processes.
Strategic Integration of Internal and External Environments through Innovation for Enhancing Organizational Performance Fandi Achmad; Zulmi Ramdani; Iwan Inrawan Wiratmadja
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.9965

Abstract

The complexity of the challenges faced by modern industries stems not only from internal factors such as organizational structure and corporate culture, but also from external factors such as the intensity of market competition and the dynamics of changing consumer trends. Both of these aspects require in-depth strategic attention, particularly in the context of the highly dynamic tourism industry. Therefore, this study aims to understand how the interaction between the internal and external environments affects the performance of tourism organizations, with a focus on innovation as a key driver in addressing the complexities of the tourism industry environment. This research method uses a quantitative Partial Least Square Structural Equation Model (PLS-SEM)approach, which models the relationships between variables and identifies key factors that influence performance outcomes. Data collection was carried out through questionnaires involving respondents from various levels in SMEs around tourist areas. The results of the study reveal a significant relationship between the internal and external environments and innovation, as well as their impact on the performance of tourism organizations. Practical implications for stakeholders include developing more targeted innovation strategies, increasing internal capacity for innovation, and responding more effectively to changes in the external environment.
Enhanced Quantum Wave function for Mathematical Modeling of Hydrogen and Helium Ionization Energies: Engineering Applications to Plasma Particle Formation Valentinus Galih Vidia Putra; Wiwiek Eka Mulyani; Isom Hilmi; Fadil Abdullah; Taufik Munandar; Markus Paramahasti
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.9966

Abstract

Our research developed a computational model to calculate ionization energies of hydrogen and helium atoms through an enhanced variational method with a modified trial wave function in plasma generator. We implemented this approach in MATLAB v.7.12.0 (R2011a), incorporating key physical constants, such as reduced mass, Planck’s constant, and vacuum permittivity, within the framework of the time-independent Schrödinger equation. For hydrogen, a single-electron system, our model yielded an ionization energy of 13.6 eV, matching the established experimental value precisely. For helium, as we know, electron interactions complicate calculations; our optimized variational parameter estimated an ionization energy of approximately 32 eV, compared to the experimental value of about 25 eV, reflecting minor simplifications in our assumptions. This method proves reliable and computationally efficient, making it valuable for quantum-based plasma research, AI-integrated computational science, and studies of atomic-scale phenomena like corona plasma particle formation. Our comparative analysis confirms the variational technique’s accuracy, providing a strong foundation for advancing research in plasma physics and quantum mechanics
Internal and External Factors Influencing Waste Sorting Practices: A Behavioral Study at Higher Education Dinda Sandikta Putri; Muhammad Khairunnazmi; Muhammad Artdiaz Agvito Latif; Abdullah Ramadhan; Muhammad Ariq Fauzi
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.9993

Abstract

This study examines both internal and external factors that affect students' waste sorting behavior at Telkom University, an academic institution that struggles with sorting compliance even after establishing "green campus" initiatives into place. The study used a quantitative correlational approach, surveyed 135 undergraduate students, and used the Theory of Planned Behavior (TPB) to analyse the structural correlations that emerged using PLS-SEM. The model looked at how a student's intention and subsequent sorting behavior were influenced by internal (attitude, subjective norms, perceived behavioral control) and external (information, policy, infrastructure/facility) factors. The findings demonstrated that sorting intention is substantially and favourably predicted by every investigated factor. Accordingly, intention turned out to be an exceptionally strong predictor of actual behaviour (Path Coefficient = 0.726). Importantly, compared to external support (0.261), internal motivation (0.327) has shown a stronger direct impact on intention. The results highlight the necessity of a symbiotic approach to effective, long-term waste management: fostering strong pro-environmental attitudes and societal norms while also offering accessible infrastructure, clear information, and supporting institutional rules and regulations.
Development of An Adjustable Welding Table for Welding Needs in A Production Workshop PT Envicon Ekatama using the French Method Agus Widodo; Merdieco Rivandi; P Yudi Dwi Arliyanto; Muhammad Alif Ihsan; Fadil Abdullah; Rizal Prasetyo
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.10034

Abstract

This research focuses on the development of an adjustable welding table for welding needs in the production workshop of PT. Envicon Ekatama, using the French design method. The background of the research shows that the existing conventional welding table causes discomfort and safety issues for welding operators, such as hunched postures and non-ergonomic overhead positions, as well as table sway that can cause workpieces to fall. The research method involved problem analysis, development of two design concepts using Autodesk AutoCAD 2016, concept confirmation through scoring, and concept detailing. The second concept, which considered high mobility with the addition of wheels and adjustable height settings, was selected as the best design based on operator assessment scores. Comparison of Figures from the Research, Operator comfort of conventional welding table (existing), total comfort score of 12 out of 30. Adjustable welding table (Concept 2) total comfort score of 22 out of 30. Effectiveness of using conventional welding table (existing) total effectiveness score of 16 out of 30. Adjustable welding table (Concept 2) total effectiveness score of 22 out of 30. Increased effectiveness by 37.5%. The designed adjustable welding table allows the operator to adjust the table height according to the workpiece conditions and individual needs, thereby increasing comfort in various welding positions. The design also includes detailed drawings for the base plate, lifting rod, welding table area, and top support, as well as a clear installation sequence.
Optimization of Internet of Things-Based Infusion Monitoring and Control System (OSPKI - IoT) Manase Sahat H Simarangkir; Ricky Johannes; Rita Purnamasari; Neil Royan; Nita Winda Sari; Fadil Abdullah
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10035

Abstract

Nurses have an important role in patient care in hospitals, but excessive workload can cause errors in monitoring IV fluids. This research aims to develop an Internet of Things (IoT) based infusion monitoring and control system to increase efficiency and accuracy in managing infusion fluids. The system developed is capable of monitoring the volume of infusion fluid, counting drops per minute, and controlling the infusion speed automatically, as well as connecting to a database for online monitoring. The research method uses an experimental method with Waterfall model-based system development, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance.. Test results show that the system can work accurately in monitoring various types of infusion fluids with a low error rate. It is hoped that the development of this system can reduce the risk of infusion monitoring errors and improve patient safety in hospitals. The novelty of this study lies in the integration of IoT-based infusion drip speed control automation in real time via a website with sensor accuracy below 1%, which has not been widely implemented in similar studies in Indonesian clinical settings.
Design of Sand Smoothing Tool With Anthropometry Approach to Improve Productivity at CV Karya Gemilang Teknik Bintang Kharisma Ramadhan; Handy Febri Satoto
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10104

Abstract

The efficiency of the silica sand refining process significantly affects the quality of metal casting at CV Karya Gemilang Teknik, Sidoarjo. Currently, the company performs sand refinement manually, which leads to excessive processing time, inconsistent results, and operator fatigue. This study aims to design an ergonomic sand-refining machine using an anthropometric approach to improve both operator comfort and production productivity. A combination of field observation, anthropometric data collection, ergonomic design analysis, and prototype testing was employed. The key anthropometric parameters considered were standing shoulder height and arm reach, analyzed using statistical measures such as mean, standard deviation, and percentile. Based on these results, the optimal machine dimensions were determined at a height of 92.27 cm and a width of 67.5 cm to accommodate the majority of workers. The designed machine applies a hammer mill mechanism with a 1 HP electric motor, steel frame, and V-belt transmission system. Experimental results indicate that the new design significantly reduces sand-refining time, enhances operator posture and comfort, and produces finer and more uniform sand particles. Consequently, the proposed ergonomic design contributes to improved efficiency, consistent product quality, and higher productivity in the casting process at CV Karya Gemilang Teknik
Raw Material Control and Production Planning to Reduce Excess Finished Products (Case Study: UD. ABC) Thomas Hadi; Herlina Herlina
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10154

Abstract

UD. ABC is a manufacturing company that produces multi-purpose shelves and plate racks with a make to stock system. UD ABC faces a mismatch between production volume and actual demand, leading to overproduction, excess inventory, and idle money. This study aims to identify the most accurate forecasting method, develop an optimal production plan, and determine raw material requirements with minimum inventory cost. Demand and production data from April 2025–August 2025 were analyzed using Moving Average, Single Exponential Smoothing, and linear trend, evaluated through MAD, MSE, MAPE, and tracking signal. The selected forecast was used to construct aggregate planning, a Master Production Schedule (MPS), MRP, and safety stock. Results show that the chosen forecasting method reduces deviations between production and demand. The proposed production plan decreases production and storage costs, while MRP yields more efficient raw material requirements. Overall, the proposed planning approach minimizes overstock and improves operational effectiveness.
Design of a Drying Machine for Charcoal Bricks to Improve Cost Efficiency in Production and Profitability using the Quality Function Deployment Method Nabil Hasabi Saputra; Handy Febri Satoto; Herlina Herlina
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10158

Abstract

The charcoal briquette MSME in Gedangan Subdistrict, Sidoarjo Regency, is a business engaged in the production of alternative energy based on coconut shell waste and sawdust. The production process involves burning, grinding, mixing adhesives, molding, and drying. However, based on observations, around 30% of raw materials are not optimally utilized because they become waste in the form of ash and coarse charcoal. This condition causes low production efficiency and increased operational costs. In addition, the capacity of the existing charcoal briquette drying machine is still limited, the molding results are often inconsistent, and the durability of the machine material is relatively low. This study aims to design a more efficient charcoal briquette molding machine that suits the needs of MSMEs by using the Quality Function Deployment (QFD) approach. This method focuses on translating user needs into technical product requirements, so that the machine design not only considers technical aspects but also meets user expectations. The design results are expected to increase productivity, reduce raw material waste, produce briquettes with uniform quality, and reduce production costs. With a QFD-based charcoal briquette molding machine design, Arang Briket SMEs are expected to maintain production continuity, increase competitiveness, and become an example of the application of appropriate technology in biomass-based alternative energy processing.

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