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Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.

This study presents a modal analysis of Pertamina EP Cepu’s closed drain pump 510-P9002, which operates in the condensate–water treatment unit of the Jambaran Tiung Biru field. Field vibration measurements conducted in August 2024 indicated a fundamental frequency of 25 Hz, corresponding to 1×RPM of the driving motor, with maximum amplitudes reaching 13.46 mm/s. Such excessive vibration poses risks of mechanical damage, reduced equipment service life, and potential operational failure. To address this issue, finite element analysis (FEA) was employed to examine the dynamic response of the pump, determine its natural frequencies, and identify possible resonance conditions. A CAD model of the pump–vessel assembly was developed, meshed, and analyzed under actual boundary conditions. The results showed several natural frequencies ranging between 23.16 and 26.65 Hz, which are close to the excitation frequency, suggesting a very high likelihood of resonance. Various structural modifications were then evaluated, including a half casing and two types of full casings. Among these, the full casing B design provided additional stiffness in the motor support area; however, none of the modifications effectively reduced vibration within the internal components. Based on these findings, the study recommends the implementation of a dynamic vibration absorber (DVA) tuned to the excitation frequency, along with the redesign of structural components to shift natural frequencies away from operating excitation. These solutions are expected to improve operational stability, extend equipment lifespan, and enhance overall system reliability. The outcomes of this research provide important insights for managing vibration issues in pump systems operating under similar conditions, particularly in the oil and gas industry where continuous, stable operation is critical.

Distribution is an important aspect that affects the operational efficiency of a company, especially in terms of goods delivery. This study aims to develop an optimization model for LPG gas distribution routes using Excel Solver based on geographic coordinate conversion. In this study, the method used includes converting geographic coordinates from decimal to Degree-Minute-Second (DMS) format, followed by conversion to kilometers to form a more accurate distance matrix. The optimization model was built using the Capacitated Vehicle Routing Problem (CVRP) approach, which takes into account vehicle capacity constraints (a maximum of 560 cylinders per truck) and the limited number of available fleets, which is only one truck. The results show that coordinate conversion produces high accuracy in calculating distances between distribution locations. By using Excel Solver, the optimization solution successfully minimizes the total distance traveled compared to the conventional route, where distribution is carried out more evenly to 57 scattered LPG base locations. The addition of Solver Parameters Evolutionary and All Different constraints proved effective in avoiding duplication of visits and producing optimal distribution routes. This solution not only improves distribution time and cost efficiency, but also improves service to customers by reducing delivery delays. The success of this optimization model is expected to be implemented by other distribution companies to improve their operational performance. This study also highlights the importance of selecting the right software to aid the distribution optimization process. Excel Solver, despite its simplicity, proved highly effective in solving complex distribution routing problems, especially when combined with coordinate conversion techniques that yield more accurate distances. Furthermore, the application of the CVRP method enabled more efficient decision-making in determining distribution routes, taking into account vehicle capacity and fleet limitations.

This study investigates the influence of employee engagement, digital training, and reward systems on employee productivity at the Central Statistics Agency of Kediri Regency. The research adopts a quantitative approach with a questionnaire as the primary data collection tool. A total of 33 employees participated as respondents, determined using a saturated sampling technique, which ensures that all members of the population were included. The instrument utilized was a Likert-scale questionnaire, designed to capture perceptions and experiences related to engagement, training, and rewards. The data were analyzed using multiple linear regression to measure both the partial and simultaneous effects of the independent variables on productivity. The results reveal that employee engagement plays a significant role in enhancing productivity, with a significance value of 0.003. Similarly, digital training and reward systems also exert a positive and significant influence, with significance values of 0.037 and 0.0002, respectively. When tested simultaneously, the three independent variables collectively demonstrate a substantial impact on employee productivity, as evidenced by an F-value of 76.069. Furthermore, the Adjusted R Square value of 87.6% indicates that the research model possesses strong explanatory power, meaning that most variations in productivity can be explained by employee engagement, digital training, and reward systems. These findings highlight the strategic importance of integrating engagement initiatives, continuous digital skill development, and fair reward mechanisms to foster higher levels of productivity. For organizations, particularly government institutions, the study underscores the necessity of adopting a holistic human resource development framework that addresses both intrinsic and extrinsic motivational factors to maximize employee performance.

A lopography or barium enema colostomy is a radiographic examination of the colon using a contrast medium inserted through a colostomy. This examination aims to evaluate the condition of the colon after the colostomy, including detecting the presence of obstructions or masses in the gastrointestinal tract. The contrast medium used is a type of non-ionic soluble water that is inserted through the stoma and anus orifice until it fills the entire colon, characterized by the exit of contrast through the stoma. The examination was carried out using several radiographic projections, including plain photographs of the AP abdomen, as well as post-contrast projections of the Antero Posterior (AP), Right Posterior Oblique (RPO), Left Posterior Oblique (LPO), and lateral. This study aims to find out the procedure for the Lopography examination at the Radiology Installation of Caruban Hospital and the medical reasons for the use of two channels of input of contrast media, namely through the stoma and anus. The method used is qualitative descriptive research with a case study approach. The study was carried out from November to May 2025, with one post-colostomy patient as a sample. Data collection was carried out through direct observation, interviews with medical personnel, and documentation of radiographic procedures. Data analysis includes data reduction, data presentation, and conclusion drawn. The results of the study showed that the procedure of Robotic examination did not require any special preparation before the procedure. The non-ionic contrast medium used is mixed with aquades at a ratio of 1:3 (about 200 cc), and inserted through both the stoma and the anus to obtain a thorough visualization of the colon. The selection of two input paths aims to ensure that there are no blockages or masses that block the contrast flow. The projections used are adjusted to provide maximum information about the structure of the colon after colostomy

This research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

Anime has become a significant global phenomenon, including in Indonesia, where this culture has influenced various aspects of society. This article explores the impact of anime visual style in YouTube advertisements in Indonesia. The influence of anime on Indonesian society is also evident in the consumption trends of products related to Japanese culture. The involvement of Indonesian society with anime has also encouraged the emergence of various businesses and products that capitalize on the popularity of this culture. This study focuses on exploring the impact of anime visual style on consumer responses in the context of advertising through YouTube social media in Indonesia. The researcher will analyze how the use of anime elements in advertisements can influence consumer perceptions, whether through nostalgia, enjoyment, or aesthetic aspects, as well as how marketing strategies can be adjusted to maximize this effect. The research method uses content analysis of social media comments as research data. Three advertising samples were selected to represent the study. The results of the analysis show that the use of anime elements in advertisements for Pop Mie, McDonald's, and Pocari Sweat successfully attracted attention and created positive responses from consumers. The high quality of the animation and the use of anime visual styles created a strong emotional appeal, even influencing consumer behavior such as product preferences and interest in brands. In conclusion, the use of anime visual styles in Pop Mie, McDonald's, and Pocari Sweat advertisements demonstrates the success of a marketing strategy that utilizes the popularity of anime to attract attention and create emotional engagement. and influencing consumer behavior in Indonesia, as well as opening opportunities for more local anime production and strengthening positive brand image. This advertisement is not only an effective marketing tool, but also opens up opportunities for more local anime production and supports a positive brand image.

This study aims to analyze the influence of work environment, salary, and career development on employee performance at Larissa Aesthetic Center through employee commitment as a mediating variable. The importance of optimizing employee performance in supporting business growth requires appropriate efforts and strategies to maximize existing resources in the work environment. Employees who value the work environment because it fosters a sense of well-being and enthusiasm at work. Salary is one of the factors that influences performance, in line with compensation that meets expectations as a form of responsibility in the workplace. Employee career development is seen as a call for progress, where competent workers facilitate the organization in becoming a solution for clients.The method used in this study employs an explanatory approach to uncover the relationships between variables and emphasizes causal numerical data. The study population consists of 65 employees, with the sampling technique using a census, where the entire population serves as the study sample. This research utilizes primary data obtained through questionnaire completion. Secondary data is derived from relevant documentation related to the research topic. Data analysis employs path analysis to test the relationships between research variables. The results of this study indicate that the work environment, salary, and career development have a significant influence on employee performance at Larissa Aesthetic Center, through the support of employee commitment as a mediating variable. The findings of this study can serve as a reference for business actors as a basis for consideration in actions related to human resources.

Corruption is an extraordinary crime that not only causes massive state financial losses but also impedes national development. Efforts to eradicate corruption are insufficient if limited to the imprisonment of perpetrators; they must be accompanied by state asset recovery. The prosecutor, as the dominus litis in the criminal justice sistem, plays a central role in the process of seizing assets derived from corruption. This research aims to analyze the authority of prosecutors to seize assets in corruption cases, identify the obstacles encountered, and formulate solutions to optimize the exercise of this authority. The research method employed is normative juridical, utilizing a statutory approach and a case approach. The findings indicate that prosecutors have a strong legal basis for asset seizure, as stipulated in the Criminal Procedure Code (KUHAP), the Anti-Corruption Law, and other relevant regulations. However, in practice, prosecutors face various obstacles, both juridical, such as legal loopholes in the evidentiary process, and non-juridical, such as the complex modus operandi of perpetrators in concealing assets, slow inter-agency coordination, and challenges in tracing assets located abroad. Therefore, it is imperative to strengthen the regulatory framework through the enactment of the Asset Forfeiture Bill, enhance the capacity and integrity of prosecutors, and bolster international cooperation to maximize the recovery of state losses.

Micro, Small, and Medium Enterprises (MSMEs) are an essential pillar of the Indonesian economy, contributing significantly to employment creation, poverty reduction, and income distribution. However, despite their substantial role, MSMEs continue to face a number of persistent challenges, including limited access to capital, low levels of financial literacy, and inadequate utilization of technology. These barriers hinder their ability to grow, compete, and adapt to rapid economic changes. This study aims to explore and analyze the role of Islamic Financial Institutions (IFIs) in empowering MSMEs within the framework of Sharia principles. Employing a descriptive qualitative approach, this research is based on a comprehensive literature review of scholarly articles, official reports, and other relevant academic sources. The findings reveal that IFIs provide both financial and social contributions to MSMEs. Financially, IFIs channel funds through Sharia-compliant contracts such as mudharabah and murabahah, which allow entrepreneurs to access financing without relying on conventional interest-based systems. Socially, IFIs carry out a redistributive role by managing and disbursing zakat, infaq, sadaqah, and waqf (ZISWAF), while also offering entrepreneurship training, mentoring, and technical assistance. These functions collectively enhance MSMEs’ access to capital, strengthen their managerial and operational capacities, and increase competitiveness in both domestic and global markets. Nevertheless, several challenges remain, including the uneven geographical distribution of IFI services, slow adoption of digital technology, and the need for more supportive regulatory frameworks. Strengthening IFIs’ role through policy integration, technological innovation, and collaboration with government and private sectors is essential for maximizing their impact on MSME empowerment. Thus, IFIs not only act as financial intermediaries but also as socio-economic catalysts that support sustainable and inclusive economic development in Indonesia.

Reservoir heterogeneity has long been recognized as a critical factor influencing the efficiency of enhanced oil recovery (EOR) methods. Among the techniques applied, cyclic waterflooding is considered one of the promising approaches due to its relatively simple operational design and potential to improve sweep efficiency. This method involves alternating water injection in specific cycles to mobilize trapped oil and redistribute reservoir pressure. However, the variation in geological properties such as porosity, permeability, and fluid saturation creates challenges in achieving uniform displacement, especially in reservoirs with high heterogeneity. Understanding the role of heterogeneity is therefore crucial for optimizing cyclic waterflooding applications. This study applies a literature review approach by synthesizing findings from previous experimental and field studies that evaluated cyclic waterflooding under different reservoir conditions. The analysis compares the performance of cyclic water injection periods across reservoirs characterized by varying levels of heterogeneity. Parameters such as injection rate, water breakthrough time, and oil recovery factor were considered in evaluating the effectiveness of this method. The results highlight that reservoirs with high heterogeneity often experience uneven fluid distribution, leading to early water breakthrough and reduced oil recovery. In contrast, reservoirs with relatively low heterogeneity tend to respond better to cyclic waterflooding, resulting in improved sweep efficiency and higher incremental recovery. Moreover, the optimization of cycle timing and water injection intervals appears to significantly mitigate the negative effects of heterogeneity. In conclusion, the study emphasizes that reservoir heterogeneity plays a decisive role in determining the success of cyclic waterflooding. Tailoring injection strategies based on geological variability is essential to maximize recovery efficiency. Future research should focus on integrating advanced reservoir characterization techniques with adaptive cyclic flooding models to further enhance oil production outcomes.

In manufacturing industries, machining processes play a critical role in ensuring product quality, precision, and production efficiency. However, in the production of swing arm parts, the machining process has been identified as a bottleneck due to its non-optimal cycle time. One of the main issues contributing to this inefficiency is the disorganized handling of circlip inner parts. These components are often scattered without a designated placement system, which creates significant difficulties for operators when retrieving and installing circlips onto the swing arm. Such abnormalities disrupt workflow continuity, extend production time, and reduce overall productivity. To address this challenge, a circlip feeder machine was designed as a supporting device to assist operators and streamline the machining process. The design emphasizes efficiency, integration, and systematic operation by utilizing readily available workshop materials. The developed feeder machine is equipped with a robust frame construction and has a storage dimension capable of accommodating up to 200 circlips. In addition, mechanical analysis demonstrates that the feeder structure can withstand a maximum applied force of 31,475 N, ensuring durability and reliability during operation. The introduction of this circlip feeder machine directly impacts the production process by reducing operator workload, minimizing delays caused by disorganized parts, and ensuring faster and more accurate installation of circlips. Consequently, the overall machining cycle time is shortened, thereby improving production flow and enhancing the efficiency of swing arm part manufacturing. Beyond immediate time savings, the use of the feeder machine contributes to better resource utilization, reduced ergonomic strain on operators, and improved consistency in product quality. This study highlights the significance of simple yet effective mechanical innovations in overcoming production bottlenecks and optimizing manufacturing processes in automotive component industries.

The development of automotive technology drives innovation in vehicle support components, including the continuously variable transmission (CVT) system, which plays a crucial role in transmitting engine torque and power to the wheels. One of the main elements in this system is the clutch lining and clutch housing, whose performance significantly impacts motorcycle performance. However, the standard pattern on these components is often not optimal in maximizing power delivery. Therefore, this study was conducted to analyze the effect of modifying the grooves of the clutch lining and clutch housing on engine torque in a 110 cc motorcycle. The research method used an experimental approach by varying the modification pattern on the clutch lining and clutch housing. The test motorcycle with a capacity of 110 cc was tested using a dyno test to measure torque and power at various engine speeds. Each modification variation was then compared with standard conditions to evaluate the resulting performance differences. The results showed that the pattern modifications on the clutch lining and clutch housing significantly increased torque. Several modification variations were able to significantly increase torque at medium to high speeds, thus providing better engine response and more efficient power delivery. Thus, this research contributes to the development of more optimal CVT component designs and has the potential to improve motorcycle performance, especially in the small capacity vehicle segment.  

The widespread use of digital images, driven by low-cost, handheld acquisition devices, has increased the need for robust security measures to safeguard privacy. This demand is further underscored by rising identity theft and other image-related crimes. This study presents a chaos-based experimental evaluation of contemporary image encryption algorithms. Owing to intrinsic properties such as sensitivity to initial conditions and pseudo-randomness, chaos theory has become increasingly prominent in image encryption. Five chaos-based image encryption schemes were selected and applied to a dataset of 26 color images. The evaluation covers both encryption performance and cryptographic security. Decryption quality is measured using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and DeepEns. Cryptographic security is assessed using entropy, correlation coefficient, Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), average and maximum deviation, and histogram analysis. Experimental results indicate that all evaluated schemes demonstrate strong cryptographic security and comparable encryption performance, with broadly similar effectiveness across methods.

Chronic kidney disease (CKD) that is left untreated can lead to serious complications, one of which is hypertension in hemodialysis patients. Intradialytic hypertension can impair quality of life and increase mortality risk. Benson relaxation therapy, which combines breathing techniques with the repetition of positive words, has the potential to lower blood pressure. The purpose of this research is to measured blood pressure during and subsequent to Benson relaxation therapy in hemodialysis patients. This quantitative research employed a pre-experimental methodological approach with a case study approach. The subjects consisted of 3 respondents selected from a population of 24 hemodialysis patients at a hospital. Blood pressure data were collected using a digital sphygmomanometer and analyzed descriptively. After three sessions of Benson relaxation therapy lasting approximately 10 minutes each, systolic blood pressure decreased with the maximum reduction of 18 mmHg and the lowest reduction of 2 mmHg, while diastolic blood pressure decreased with the maximum reduction of 20 mmHg and the lowest reduction of 1 mmHg. Benson relaxation therapy can reduce blood pressure in patients undergoing hemodialysis. Benson relaxation therapy may be considered as a non-pharmacological intervention to help lower blood pressure in hemodialysis patients. After three sessions of Benson relaxation therapy lasting approximately 10 minutes each, systolic blood pressure decreased with the maximum reduction of 18 mmHg and the lowest reduction of 2 mmHg, while diastolic blood pressure decreased with the maximum reduction of 20 mmHg and the lowest reduction of 1 mmHg. These results indicate that Benson relaxation therapy can significantly reduce blood pressure in hemodialysis patients. The therapy’s effectiveness in reducing blood pressure may be attributed to the deep breathing exercises and the relaxation response it induces, which helps to reduce the overall stress on the cardiovascular system.

This study aims to optimize the cake production profit at Cake by Cece using the Branch and Bound algorithm. The data used include raw material requirements per batch, daily raw material availability, and selling prices for three types of cakes: Cookies, Brownies, and Cinnamon Roll. The optimization model is formulated as an Integer Linear Programming problem with the objective of maximizing total daily profit. The model is solved using the simplex method followed by the Branch and Bound algorithm to obtain valid integer solutions. The results indicate that the optimal production combination is 2 batches of Cookies, 2 batches of Brownies, and 3 batches of Cinnamon Roll, yielding a maximum profit of IDR 233,000 per day. This solution satisfies all raw material constraints and is feasible for daily operational implementation. This study provides quantitative recommendations to support production decision-making in culinary sector MSMEs.

This study aims to analyze the effect of variations in the Continuously Variable Transmission (CVT) spring constant and the type of fuel on the performance of a 110 CC gasoline motorcycle engine. The CVT system is one of the important components in an automatic motorcycle that functions to transmit power from the engine to the rear wheels efficiently. CVT performance is greatly influenced by the spring constant used, because this component is directly related to the automatic gear ratio shifting process. On the other hand, the type of fuel also has an important role because it is related to the quality of combustion and the efficiency of energy produced by the engine. The test results show that the use of a CVT spring with a constant of 18.05 N/cm combined with Pertamax fuel is able to provide the best engine performance. In this configuration, the engine reaches a maximum power of 7.84 HP at 8200 rpm and a maximum torque of 9.30 Nm at 6200 rpm. This combination is proven to be the most optimal in increasing power and torque, thus providing more responsive acceleration. Furthermore, the use of a CVT spring with a constant of 25.20 N/cm combined with Pertamax also shows quite good performance, namely with a maximum power of 7.38 HP and a maximum torque of 8.56 Nm. Although the results are not as high as the first configuration, this combination is still quite effective in improving engine performance. Meanwhile, when using a spring with a higher constant of 33.69 N/cm, the resulting power tends to decrease to 7.02 HP with a torque of 8.02 Nm. In addition, the initial acceleration in this configuration is less responsive so it is not recommended for optimal performance.

This study examines the influence of club image, sponsor factors, and fan loyalty on the purchase intention of official merchandise among Bali United supporters. The focus of the research is to understand how these three factors contribute to driving merchandise sales in sports marketing, with the aim of providing insights that can improve the club's revenue strategies. By adopting a quantitative approach, primary data were collected from 87 respondents who are active supporters of Bali United, using an online questionnaire. The data were analyzed using multiple linear regression to evaluate the significance and direction of the relationships between the variables. The results reveal that each of the factors, sponsor factors and fan loyalty has a positive and significant effect, meanwhile club image has no significant effect on the intention to purchase official merchandise. This indicates that a stronger perception of the relevant and reputable sponsorships, and higher levels of fan commitment all contribute to an increased likelihood of supporters purchasing merchandise. The findings highlight the synergistic role of branding, partnerships, and community engagement in influencing consumer behavior within the sports fandom context. A positive impact from sponsor factors, such as the alignment of brands with the club's values, enhance the overall appeal of the merchandise. Moreover, fan loyalty acts as a significant driver, as loyal fans are more likely to invest in merchandise as a way to support their club. This study concludes that while Bali United’s club image does not significantly influence fans’ intention to buy merchandise, sponsor factors and fan loyalty have a positive and significant effect on purchase intention; therefore, strengthening fan loyalty and effectively managing sponsorship partnerships are key drivers in maximizing merchandise sales potential, while club image plays an indirect role.

Human resources are one of the important aspects that must be managed optimally by organizations in order to provide maximum contribution to achieving company goals. In the current era of globalization, the level of competition between companies is increasingly fierce, requiring organizations to continuously improve the performance of their employees. This study focuses on two main research questions: how does reward provision affect employee performance at PT Prima Indo Papua and how does motivation provision affect employee performance at the company. The purpose of this study is to determine the extent to which rewards and motivation contribute to improving employee performance. The research variables consist of Reward (X1), Motivation (X2), and Employee Performance (Y). The research population was all 40 employees of PT Prima Indo Papua, while the research sample of 31 people was determined using a saturated sampling technique. The types of data used were primary data obtained through questionnaires and secondary data from company documents. Data analysis was carried out using a quantitative method through hypothesis testing, where the null hypothesis (Ho) was rejected if the significance value was <0.05. The results showed that reward provision had a positive and significant effect on employee performance with a significance value of 0.025 <0.05, so the alternative hypothesis (Ha1) was accepted. Similarly, the motivation variable has a positive and significant effect on employee performance with a significance value of 0.044 < 0.05, thus the alternative hypothesis (Ha2) is accepted. Thus, both rewards and motivation are proven to be important factors in improving employee performance at PT Prima Indo Papua. This study implies that company management needs to continue to pay attention to the reward and motivation systems implemented to ensure employee performance is maintained and continuously improved.  

The hospitality industry is experiencing rapid digital transformation, particularly with the widespread adoption of mobile ordering platforms in food and beverage services. This study seeks to examine how the use of a mobile ordering application affects staff–guest interactions at Semawis All-Day Dining, X Hotel Semarang. Employing a qualitative case study approach, data were collected through in-depth interviews, participant observation, and documentation. The findings demonstrate that the integration of mobile ordering has significantly reshaped patterns of engagement between employees and guests, shifting from service approaches that emphasize relational warmth, friendliness, and emotional connection to those prioritizing efficiency, accuracy, and practicality. Although this system improves operational effectiveness, many employees feel that opportunities to establish deeper bonds with visitors are reduced, while senior staff frequently report experiencing technostress due to the pressure of adapting to new technologies. Consequently, the quality of personalized service and the traditional “human touch” in hospitality is gradually declining, even though efficiency levels have increased. To mitigate these challenges, hotels implement flexible strategies such as hybrid service models, combining technology-driven efficiency with face-to-face interaction to preserve the essence of hospitality. The research underscores the importance of considering relational, cultural, and psychosocial dimensions when implementing digital transformation in hotels. It concludes that successful integration of mobile ordering relies not only on operational convenience but also on strengthening technological literacy, providing continuous training, and adopting a human-centered service orientation. By balancing innovation with human values, hotels can maximize digital benefits while maintaining authentic hospitality experiences that remain memorable and meaningful for guests.