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Manual handling is still commonly performed across all occupational sectors, particularly by workers in production and warehouse roles. This situation indicates that warehouse workers face a relatively high physical workload due to manual handling activities, which can potentially lead to musculoskeletal disorders (MSDs). This study aims to analyze the relationship between workload in manual handling activities and MSD complaints using the recommended weight limit (RWL) method at Warehouse AB. This study employs a cross-sectional design and total sampling, with a population of 29 workers in the goods lifting and transport section at Warehouse AB. The independent variables examined in this study included workload, age, and body mass index (BMI). The dependent variable in this study was MSD complaints. This study was conducted through observation, measurement, and interviews. The measurement results will be analyzed using IBM SPSS Statistics 27 software with Spearman’s rank correlation test. The results of the correlation test indicate that there is no association between workload, age, and BMI in manual handling activities and MSD complaints. Relevant parties are encouraged to implement the use of back supports and carts as a form of early prevention against MSD complaints.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

This research was conducted with the aim of developing an automation system for recording warehouse inventory based on Google Sheets to improve the effectiveness and efficiency of the stocktaking process at the Cresta Management warehouse. This research was based on problems in the semi-manual process that used logbooks and separate files for each group of goods, which caused problems such as data duplication, limited data access, lack of data transparency, and lengthy recapitulation process. This research used the Research and Development method using the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). Data were collected through observastion, interviews, questionnaires, and documentation. The result of this development is a system consisting of a login page, goods transcation recording, warehouse dashboard, stock reports, stock cards, and PDF report exports. This study also produced evaluation scores regarding the system’s feasibilty: 93,3% from the first media expert, 80% from the second media expert, 73,3% from the material expert, and 91,75% from users through User Acceptance Testing. These evaluation results indicate that the system is feasible for use and implementation in supporting warehouse operations, as it provides real time data updates, improves the efficiency of goods reporting, and enhances warehouse transactions.

Service quality is a critical issue faced by service providers, as it plays a significant role in shaping customer satisfaction and maintaining customer trust for future services. A decline in service quality over time may negatively affect customers’ perceptions and loyalty. Therefore, this study aims to examine the effect of service quality dimensions on customer satisfaction. This research employed a quantitative approach using primary data collected through a survey method. The sampling technique used was probability sampling with a random sampling method, involving 98 customers as research respondents. Data were analyzed using SPSS version 24. The service quality dimensions analyzed in this study were Tangible, Reliability, Responsiveness, Assurance, and Empathy. The results of the analysis revealed that Tangible and Responsiveness did not have a significant effect on customer satisfaction. In contrast, Reliability, Assurance, and Empathy were found to have a significant positive influence on customer satisfaction. These findings indicate that customers place greater importance on service accuracy, employee competence, trustworthiness, and personal attention. Therefore, service providers are encouraged to prioritize improvements in Reliability, Assurance, and Empathy to enhance customer satisfaction and sustain long-term customer relationships.

The retail industry is currently facing increasingly intense competition, requiring optimal supply chain efficiency. Warehouses play a strategic role in controlling inventory flows and supporting a company’s operational performance. At K3Mart, stock shortages are still frequently found, caused by low supplier compliance with Service Level Agreements (SLA) and delays in delivery schedules, which negatively affect distribution processes and store service quality. This study aims to analyze the effect of supplier compliance with SLA and delivery timeliness on warehouse operational performance at K3Mart. This research employs a quantitative method by distributing questionnaires to 40 respondents from the warehouse, purchasing, and procurement divisions using a saturated sampling technique. The research instrument uses a Likert scale. Data analysis was conducted using validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination with the assistance of SPSS software. The results show that supplier compliance with SLA and delivery timeliness have a positive and significant effect, both partially and simultaneously, on warehouse operational performance. Therefore, improving supplier compliance with SLA and delivery timeliness can enhance optimal warehouse operational performance.

This study aims to redesign the raw material yarn warehouse layout at PT. XYZ using the Class Based Storage method to improve storage and retrieval efficiency. The main problem identified in the warehouse is random item placement, resulting in relatively long retrieval times of approximately 10–15 minutes per pallet. This research applies a descriptive quantitative approach using a case study method. The data used consists of inbound, outbound, and inventory records of yarn raw materials from November 2024 to April 2025. The analysis was conducted using the FSN (Fast Moving, Slow Moving, and Non-Moving) method through the calculation of consumption rate and average stay, combined with ABC classification to determine storage priority. The results show that 9 types of yarn are classified as Class A, 11 types as Class B, and 11 types as Class C. Based on this classification, a new warehouse layout was designed by placing Class A items near the input-output area, Class B items in the middle area, and Class C items in the back area of the warehouse, thereby improving storage efficiency and reducing retrieval time.

This study aims to redesign the raw material yarn warehouse layout at PT. XYZ using the Class Based Storage method to improve storage and retrieval efficiency. The main problem identified in the warehouse is random item placement, resulting in relatively long retrieval times of approximately 10–15 minutes per pallet. This research applies a descriptive quantitative approach using a case study method. The data used consists of inbound, outbound, and inventory records of yarn raw materials from November 2024 to April 2025. The analysis was conducted using the FSN (Fast Moving, Slow Moving, and Non-Moving) method through the calculation of consumption rate and average stay, combined with ABC classification to determine storage priority. The results show that 9 types of yarn are classified as Class A, 11 types as Class B, and 11 types as Class C. Based on this classification, a new warehouse layout was designed by placing Class A items near the input-output area, Class B items in the middle area, and Class C items in the back area of the warehouse, thereby improving storage efficiency and reducing retrieval time.

The management of used goods in warehouses involves a high level of complexity due to the wide variety of item types, differences in economic value, and limitations in space and labor. These conditions result in unstructured item arrangement, difficulties in determining item priorities, and inefficient loading processes caused by relatively long material handling distances. This study aims to analyze the application of the ABC Analysis method to improve layout efficiency and the management of used goods at the warehouse of UD. Barokah Mulia Rongsok. The research method employed is descriptive quantitative with a case study approach. Data were collected through observation, interviews, and warehouse record documentation, then analyzed using the ABC Analysis method as well as an analysis of the relationship between material handling distance and loading time. The results show that Category A items have the highest contribution in terms of value and movement frequency; however, under existing conditions, these items are still located far from the loading area. In addition, a relationship was found between material handling distance and loading duration. Based on these findings, a proposed warehouse layout was developed that prioritizes placing Category A items closer to the loading door, thereby potentially improving warehouse layout efficiency.

This study aims to analyze the effect of price and product quality on purchasing decisions of Gudang Garam Signature Kretek cigarettes in the premium machine-made kretek segment. The Indonesian tobacco industry continues to face sustained regulatory pressure through excise tax increases and intensifying brand competition, prompting consumers to reassess purchasing decisions using both rational evaluation and experiential judgment. A quantitative correlational approach was employed in this study. Primary data were collected through structured Likert-scale questionnaires distributed to 100 active consumers of Gudang Garam Signature Kretek selected using purposive sampling techniques. Data analysis was conducted through validity testing, reliability testing, and multiple linear regression analysis using SPSS software. The results indicate that price and product quality have a positive and significant influence on purchasing decisions, both partially and simultaneously. Product quality emerged as the most dominant factor, suggesting that premium cigarette consumers prioritize consistent quality, taste, aroma, and overall consumption experience as the primary basis for decision-making. Meanwhile, price remains an important rational reference for assessing the fairness between perceived benefits and financial sacrifice. Simultaneously, both variables explain 50 percent of the variation in purchasing decisions, while the remaining variance is influenced by other factors outside the research model. These findings highlight that purchasing decisions in the premium cigarette market are shaped by a value-based assessment, where sustained product quality and adaptive pricing strategies play a critical role in maintaining consumer loyalty amid regulatory pressure and evolving market dynamics

This study aims to analyze the influence of work environment and job satisfaction on the performance of warehouse employees at PT J&T Express. Work environment and job satisfaction are important factors that are thought to increase productivity and work efficiency. The research method used is quantitative with a survey approach, data collection through questionnaires announced to 100 warehouse employees of PT J&T Express using a purposive sampling technique. The data obtained were analyzed using linear multiple regression to test the partial and simultaneous effects of independent variables on the dependent variable. The results of the study indicate that work environment and job satisfaction have a significant positive effect on the performance of warehouse employees. This finding indicates that improving the quality of the work environment and job satisfaction can be an effective strategy in improving employee performance at PT J&T Express. This study is expected to provide practical contributions to company management in managing human resources to increase company competitiveness.

This study aims to analyze cost and time optimization in project management through a case study of developing a QR Code–based Digital Warehouse Management System. The project was carried out by a team of students from the Logistics Management Study Program as a practical implementation of modern project management concepts in an academic environment. The research employed a descriptive qualitative case study approach, including observation, documentation, and literature analysis. The results indicate that the use of QR Code technology significantly improves time efficiency in stock recording by up to 80% and reduces the risk of human error. In terms of cost, the project successfully optimized resources by utilizing personal devices and open-source software, eliminating the need for additional infrastructure investment. The project also demonstrated effective implementation of the Work Breakdown Structure (WBS), risk management, and evaluation based on the Triple Constraint principle. These findings highlight that simple digital innovations can greatly enhance operational efficiency and project management performance, making them a strategic solution for SMEs in the digitalization of warehouse operations.  

Keeping up with the times, the ideal warehouse is one that can serve as a good storage facility with clear administrative processes using a digital system and a warehouse database application. This database application will be used by warehouse crews at the Subditmatbek Ditlog AAL to facilitate inventory control. Its main purpose is to simplify inventory management and facilitate quick retrieval of goods when needed. This application is powered by Microsoft Access, which creates the features required by the Subditmatbek Ditlog AAL warehouse. By utilizing this application, users can access goods data, including arrival times, quality and quantity, and shipping origins, along with photos as concrete evidence. Furthermore, this database application does not require an internet connection, so it can be accessed from the warehouse at any time. Therefore, this application was created to facilitate warehouse crews in the inventory process more effectively and efficiently.

This study aims to examine the influence of capital structure and liquidity on the profitability of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Capital structure is represented by the Debt to Equity Ratio (DER), while liquidity is measured using the Current Ratio (CR). Profitability is assessed through Return on Assets (ROA) and Return on Equity (ROE). This research employs a quantitative approach with a causality design and uses multiple linear regression as the analytical method. The sample consists of three manufacturing companies—PT Chandra Asri Pacific Tbk (TPIA), PT Aneka Tambang Tbk (ANTM), and PT Gudang Garam Tbk (GGRM)—selected through purposive sampling based on predetermined criteria. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroscedasticity, and autocorrelation were conducted, and all variables met the requirements for regression analysis. The findings reveal that DER has a negative and significant effect on both ROA and ROE, indicating that higher leverage reduces the company’s ability to generate profits. Conversely, CR has a positive and significant effect on profitability, suggesting that companies with stronger liquidity positions are more capable of sustaining operational activities and improving financial performance. The F-test results show that DER and CR simultaneously have a significant influence on profitability. Furthermore, the coefficient of determination demonstrates that more than half of the variation in profitability can be explained by the two independent variables. Overall, the study emphasizes the importance of maintaining an optimal balance between debt utilization and liquidity management. Effective capital structure policies and sufficient liquidity levels are essential for enhancing profitability and ensuring financial stability within the manufacturing industry. These findings provide valuable implications for corporate decision-makers, investors, and stakeholders in formulating financial strategies that support long-term performan.  

This study ims to analyze the implementation of a real-time inventory management system, identify challenges in the current inventory process, and provide appropriate solutions. Based on observations, inventory data management at PT. Tirta Investama still relies on manual and semi-computerized methods, resulting in inventory discrepancies, delays in information updates, difficulties in real-time monitoring, and inefficiencies in report generation and distribution processes. This research employed Library Research and Field Research methods. The system involves two user roles, namely Supervisors and Checkers. Supervisors are responsible for managing products, incoming and outgoing goods, transactions, and user accounts, while Checkers verify document consistency for goods processing activities. The system was developed using PHP Native and MariaDB version 10.4.27. The implementation of this system is expected to improve inventory monitoring in real time, enhance data accuracy, minimize recording errors, support faster decision-making in procurement and distribution activities, and facilitate more efficient report generation.

This study explores key antecedents of turnover intention among employees in the warehouse industry, with a focus on workload, work stress, and job satisfaction. Conducted at CV. Sejati Pati, the research involved 102 respondents selected using a saturated sampling technique. The study applied a quantitative approach, using a structured questionnaire with a five-point Likert scale. Data were analyzed through multiple linear regression using IBM SPSS 27, including classical assumption tests such as normality, multicollinearity, and heteroscedasticity. The results showed that workload and work stress have a positive and significant effect on turnover intention, while job satisfaction has a negative and significant effect. In contrast, compensation and work environment were found to be statistically insignificant. Simultaneously, all variables jointly contribute to explaining 64.9% of the variation in turnover intention. These findings underscore the critical role of managing job demands and psychological pressure while enhancing employee satisfaction to reduce the likelihood of resignation. The research provides empirical insights for human resource management in high-pressure sectors, particularly warehouses, where operational continuity and labor stability are crucial. It also offers practical implications for developing targeted strategies to improve employee retention and foster a more resilient workforce in logistics operations.

Penelitian ini bertujuan menganalisis faktor-faktor yang menentukan efektivitas pengelolaan persediaan peralatan rumah tangga pada PT. Star Cosmos Cabang Semarang. Masalah utama yang dihadapi perusahaan adalah stockout berulang pada produk unggulan yang menyebabkan hilangnya penjualan dan menyebabkan konsumen ke pesaing. Pendekatan penelitian menggunakan deskriptif kualitatif dengan pengumpulan data melalui studi pustaka, wawancara, dokumentasi, serta triangulasi. Hasil penelitian menunjukkan bahwa efektivitas pengelolaan persediaan dipengaruhi oleh tiga faktor utama, yaitu fluktuasi permintaan, sistem informasi akuntansi, dan risiko kerusakan produk. Fluktuasi permintaan timbul akibat variasi musiman, promosi kompetitor, serta daya beli masyarakat. Sistem informasi akuntansi berbasis SAP/WMS mendukung pelacakan inventaris secara real time , namun masih mengalami kendala jaringan dan kesalahan input data. Risiko kerusakan produk muncul karena serangan rayap pada kemasan karton serta kondisi gudang yang kurang memadai. Kendala yang dibahas menjadi arsitektur, teknis, dan operasional. Kendala struktural meliputi koordinasi dengan pusat pabrik dan keterbatasan SDM. Kendala teknis terkait ketidakstabilan sistem dan kesalahan input data, sedangkan kendala operasional meliputi stockout , kerusakan barang, keterbatasan alat, dan lemahnya koordinasi internal. Upaya perbaikan dilakukan melalui penerapan FIFO, peningkatan sistem informasi, program pengendalian hama, serta penguatan komunikasi lintas divisi. Penelitian ini menunjukkan bahwa efektivitas pengelolaan persediaan masih perlu ditingkatkan melalui proyeksi permintaan yang akurat, penguatan infrastruktur teknologi, serta penerapan manajemen risiko yang komprehensif

This study aims to determine the effect of Work Division (X1), Work Discipline (X2), and Workload (X3) variables on Employee Performance (Y) at PR Gudang Rasa Srikaton Ringinrejo Kediri. The type of research employed is quantitative with an associative approach. Data collection techniques involved primary data obtained through questionnaires and secondary data derived from company documents. The sampling technique used was a saturated sample, in which the entire population was taken as respondents, resulting in 50 employees as the research sample. The data analysis techniques applied included Validity and Reliability Tests to ensure the quality of the instrument, Classical Assumption Tests to test the feasibility of the model, and Multiple Linear Regression Analysis as the primary method to measure the influence between variables. Furthermore, hypothesis testing was conducted through the t-test, F-test, and the Coefficient of Determination (R²). The partial test results (t-test) show that the work division variable has a positive and significant effect on employee performance with a t-value of 3.611 and a significance of 0.001. The work discipline variable also has a significant effect with a t-value of 2.719 and a significance of 0.009. Meanwhile, workload has a significant effect with a t-value of 2.349 and a significance of 0.023. Simultaneously, the F-test indicates that the three independent variables significantly affect employee performance, with an F-value of 26.652 and a significance of 0.000. The R Square value of 0.635 indicates that 63.5% of the variation in employee performance can be explained by work division, work discipline, and workload, while the remaining percentage is influenced by other factors. Thus, this study concludes that work division, workload, and work discipline, both partially and simultaneously, play an important role in improving employee performance at PR Gudang Rasa Srikaton Ringinrejo Kediri.

This study aims to analyze the influence of Gross Profit Margin (GPM) and Inventory Turnover Ratio (ITR) on profit growth at PT Gudang Garam Tbk during the period 2014–2024. The research employs a quantitative method with a descriptive approach and utilizes multiple linear regression analysis. Data were gathered from financial report documentation and a literature study. The F-test results indicate that GPM and ITR, when considered together, have no significant effect on profit growth, with an F-statistic value of 1.065, which is lower than the F-table value of 5.318, and a significance value of 0.389 > 0.05. Furthermore, the t-test results reveal that GPM (t-statistic 1.122; p = 0.295) and ITR (t-statistic 0.160; p = 0.877) do not have a significant partial effect on profit growth, as the significance values of both variables are higher than 0.05. The findings suggest that GPM and ITR are not the primary factors influencing the company's profit growth. Therefore, it is recommended that external factors such as market conditions, industry trends, and economic variables should be considered more carefully in managerial decision-making. This study contributes to the understanding of financial performance analysis, providing insights for both academics and practitioners in the field of corporate finance.

In the ever-evolving e-commerce era, the Nibras Online Warehouse plays a crucial role in supporting the distribution of Muslim clothing products throughout Indonesia. This strategic role demands an accurate and efficient inventory management system to ensure smooth and timely order fulfillment. One of the main challenges faced is the discrepancy between inventory data recorded on the website and the actual physical stock available in the warehouse. This discrepancy not only impacts delivery delays but also has the potential to reduce customer satisfaction and the company's overall image. This study aims to analyze the root causes of the inventory management system and develop practical solutions to ensure data consistency between the digital system and real-world conditions. The methods used include literature review, direct field observations, in-depth interviews with warehouse staff, and documentation of daily operational processes. Through an analytical approach using the 5 Whys method and a fishbone diagram, it was found that factors such as delays in data input, lack of synchronization between the operational and IT divisions, and an undocumented goods receipt process were the main causes of inventory data discrepancies. To address this, it is recommended to implement a real-time technology-based inventory management system integrated with the online sales system. Additionally, training warehouse employees on new standard operating procedures (SOPs) and regular stock audits are crucial steps to create transparency and efficiency. These steps are expected to improve data accuracy, accelerate decision-making, and support sustainable business growth. Regular evaluations are also necessary to ensure the implemented system remains relevant and adaptable to the dynamics of warehouse operations.

PT. Soemo Adjie Persada is a company engaged in housing development and is dealing with serious problems in warehouse material management. The manual and unstructured material recording system causes various obstacles, such as data discrepancies, input errors, and stockouts that hamper the smooth running of the project. This study aims to analyze and implement the Kanban system as a more efficient and accurate material management solution. The study was conducted using a qualitative descriptive approach through interviews, observations, and documentation methods. The findings show that the Kanban system, which is based on the principle of workflow visualization and a pull system mechanism, can improve the efficiency of recording and distributing materials between project units. The implementation of Kanban helps reduce data input errors, prevent material loss, and accelerate the decision-making process in the warehouse. Although challenges such as damaged Kanban cards and difficulty adapting among users were encountered in the initial implementation stage, these obstacles can be overcome through proper training and regular evaluation of the system. Thus, the implementation of the Kanban system has proven to be an effective strategy in improving the efficiency of material management in construction projects. This system not only streamlines warehouse operations but also improves control over material availability, thereby supporting the smooth running of the overall construction process. PT. Soemo Adjie Persada is a company engaged in housing development and is dealing with serious problems in warehouse material management. The manual and unstructured material recording system causes various obstacles, such as data discrepancies, input errors, and stockouts that hinder project progress. This study aims to analyze and implement the Kanban system as a more efficient and accurate material management solution. The study was conducted using a qualitative descriptive approach through interviews, observation, and documentation.