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Airports serve as a central hub for air transportation, requiring precise coordination and operations, including ground handling services. One key element is the Ground Support Equipment (GSE) personnel, who are responsible for aircraft support equipment. They must adhere to Standard Operating Procedures (SOPs) to ensure performance meets safety and efficiency standards. However, challenges such as timeliness, procedural discrepancies, and inconsistencies in SOP implementation remain. This study used a quantitative approach with correlational analysis and simple linear regression. The sample consisted of 30 GSE personnel selected through total sampling, and data were collected through a questionnaire that had been tested for validity and reliability. This method aimed to identify the effect of SOP compliance. The results showed that SOP compliance had a positive and significant impact on GSE officer performance at Sam Ratulangi Airport in Manado. The regression coefficient of 0.632 indicates a positive relationship, with a significance value of 0.002 indicating statistical significance. The coefficient of determination (R Square) value of 0.241 indicates that 24.1% of the variation in officer performance can be explained by compliance with SOPs, which indicates that increased compliance contributes positively to their performance.

A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

Digitalization has become the driving force behind transformation in the logistics sector, particularly at seaports, which serve as key nodes in the global supply chain. Indonesian ports face persistent challenges such as high logistics costs and long vessel turnaround times. By implementing digital technologies such as the Port Community System (PCS), Artificial Intelligence (AI), and Blockchain, ports can enhance operational efficiency, accelerate service processes, and improve transparency and accountability. Digital systems also enable real-time integration among stakeholders, contributing to faster cargo flow and reduced national logistics costs. However, the implementation of digitalization is not without significant barriers, including limited information and communication technology (ICT) infrastructure, low digital competencies among the workforce, and high initial investment costs. Furthermore, ports face organizational cultural resistance to change and cybersecurity risks that threaten operational continuity. Smaller ports in developing countries often struggle to adopt these technologies independently due to budget constraints. To overcome these challenges, synergy between the government, port operators, and technology providers is essential. Programs such as the National Logistic Ecosystem (NLE) represent a strategic step to accelerate sustainable digital adoption. With a holistic approach encompassing technology, human resources, and business processes, digitalization can become a key catalyst in enhancing the competitiveness of Indonesian ports on a global scale.

X Health Center has implemented EMR on SIMPUS since 2009-2010. However, from the preliminary study, it was found that there were obstacles such as network trouble, long loading when many users were pulling data on the system, and there was no SOP for down time: The purpose of this study is to analyze the implementation of Electronic Medical Records at X Health Center, Semarang City in the aspects of Human, Organization, Technology, Net-benefit.  Methods: This study used a descriptive qualitative approach with interviews, observations and documentation studies. Results: The results of research at X Health Center show that there are problems in implementing EMR at X Health Center, in the human aspect, namely system training is still given only to representative officers such as IT and SIK staff. In the organizational aspect, namely limited facilities and lack of manpower. On the technology aspect, namely internet network instability, inconsistent electricity supply and generator unpreparedness and hardware limitations. While in the net-benefit aspect, the implementation of EMR has an impact on increasing the efficiency and effectiveness of X Health Center services. Conclusion: The implementation of electronic medical records at X Health Center is not yet fully optimal, namely in the aspects of human, organization and technology.    

This study aims to optimize the productivity of Crawler Crane heavy equipment in lifting precast concrete structural elements at PT Wijaya Karya Beton Tbk. The method used is a descriptive qualitative approach with data collection through direct observation in the field. The data is based on the equipment's operating cycle time and work efficiency. The results of the study show that the Crawler Crane heavy equipment used by PT Wijaya Karya Beton Tbk. produces a productivity of 20 tons/hour or 160 tons/day for 8 hours with the need for 2 units of crawler crane heavy equipment, resulting in a work efficiency of 80%. So the productivity results from the calculation have been optimal, so it is hoped that the results of this study can be a reference in the management of heavy equipment, especially Crawler Cranes in construction work at the Company PT. Wijaya Karya Beton Tbk.

Methane gas detection is crucial in the oil and gas sector to enhance safety and operational efficiency. This study examines the impact of three types of gas detectors—catalytic, infrared, and ultrasonic sensors—on accuracy and response time. The research was conducted at PT PHM's onshore and offshore sites to evaluate sensor performance in operational environments. A quantitative approach with direct field observation was used. Data were collected by measuring methane gas concentrations indicated by detectors, which were then compared to standard gas concentrations. Response times were recorded when the detectors were exposed to methane concentrations of 2.5% LEL until the alarm triggered at 40% of full scale. Data analysis was performed using descriptive statistics, homogeneity test, normality test, ANOVA, and post hoc tests. The results show that the infrared detector had a response time of 2.87 seconds with an accuracy of 0.218%. The catalytic detector had a response time of 8.91 seconds and accuracy of 0.489% and the ultrasonic detector had a response time of 6.15 seconds and accuracy of 0.842%. Overall, the infrared detector demonstrated the best performance in response time and is recommended for use at PT PHM.

This journal examines the factors that have the potential to cause delays in the implementation of the Dempsey Hill residential housing construction project, North Citraland, Surabaya. Projects managed by CV. Tirta Kusuma has a target of completion in 10 months, but there are indications of delays that affect the schedule and costs. This study aims to identify and analyze the dominant factors causing delays, such as project management, material procurement, and human resources. The methods used include observation, questionnaire distribution, and literature study. The results of this analysis are expected to provide recommendations to improve time management, resource efficiency, and control of future construction projects. The results of data analysis in this study indicate that project delays are primarily caused by material delays and errors in work execution, as concluded based on the results of factor analysis.

The rapid growth of the Muslim population, both in Indonesia and globally, has driven an increasing need for products to support worship, including Muslim socks. PT Soka Cipta Niaga (PT SCN), a producer of Muslim socks under the brand "SOKA", faces the challenge of low brand awareness, where consumers are more familiar with the product as "wudu socks". This research aims to analyze effective marketing strategies for the "SOKA" brand. The research results show that social media-based promotional strategies, such as Twitter, Facebook, and LinkedIn, are able to reach potential consumers more widely. In addition, activities such as bazaars, Muslim seminars, and Collaboration with Hajj and Umrah organizers has proven effective in expanding the market. The momentum of Ramadan and the Hajj season is a strategic time to increase sales.

Engine overheating is a critical condition that can cause damage to internal components, reduce operational efficiency, and lead to overall system failure. The absence of an automatic protection system is one of the primary factors contributing to damage. This study aims to design and test a temperature sensor-based safety device that can automatically cut off the engine's working system when the temperature exceeds the safe limit. The method used is descriptive statistical analysis to evaluate the effect of independent variables (operational time duration and workload) on the dependent variable (coolant temperature). The system was tested through water heating simulation using an electric heater and controlled by an Arduino Nano microcontroller, a MAX6675 temperature sensor. Testing was carried out with variations in power load (150, 300, 450, 600, and 750 Watts) and operational duration (20, 40, and 60 minutes). Temperature data were collected and analyzed using ANOVA to determine the effect of load and time on temperature increase. The results showed that the temperature increased significantly with increasing power load, with temperatures approaching 100°C at loads ≥450 Watts in less than 20 minutes. The load variable shows a significant effect on temperature (p < 0.05), while the duration of time shows a nonlinear but not statistically significant upward trend. The safety device is proven to be able to automatically disconnect the system when the temperature reaches the specified maximum limit, thus effectively preventing engine damage due to overheating.

The effectiveness of accounting information systems (AIS) plays a crucial role in sup-porting the smooth recording, processing, and reporting of reliable and timely finan-cial information. AIS effectiveness is a key concern for cooperative managers in en-hancing operational efficiency and decision-making quality. This study aims to empiri-cally examine how work experience, educational background, and managerial support influence the effectiveness of AIS implementation. The research was conducted at savings and loan cooperatives operating in the South Kuta District. The sampling method used was non-probability sampling with a purposive sampling technique, and data were collected from 54 cooperative employees. Multiple linear regression analysis was employed to process the data. The results indicate that work experience, education level, and managerial support have a positive and significant effect on the effectiveness of AIS implementation. These findings suggest that the higher the em-ployees’ work experience and education, and the stronger the support from manage-ment, the more effective the AIS implementation within the cooperative environ-ment.

SPP Bandung plays a role in managing the distribution of shipments effectively and efficiently. SPP Bandung handles two types of distribution, namely primary distribution outside the Bandung area and secondary distribution to 12 distribution centers within the Bandung area. Currently, SPP operates six fleets to serve both types of distribution. However, the current distribution system has not optimized the fleet capacity, resulting in a waste of time and resources. This study uses a quantitative approach to analyze and develop an optimal distribution route strategy. By applying the saving matrix, nearest insertion, and nearest neighbor methods, the analysis results showed a decrease in total mileage from 261.8 km to 249.6 km and fuel cost efficiency from Rp210,377.33 to Rp198,539.33. The aving matrix method proved to be effective in route optimization, but other methods can also be considered for maximum improvement.

At Mie Gacoan Jimbaran, there are two payment service units operating under a single queue line, which often leads to customer congestion during peak hours. This study aims to evaluate the most appropriate non-Poisson queueing model, assess the performance of the existing queueing system, and determine the optimal number of cashiers (servers) to enhance service efficiency at Mie Gacoan Jimbaran.The observation was conducted at Mie Gacoan Jimbaran, located in Badung, Bali, on Saturday, November 18, 2023, over a period of one hour and fifteen minutes. Based on the results of the queueing model analysis and system performance evaluation, the customer arrival rate was found to be two persons per minute, with a service rate of three persons per minute. Furthermore, the average number of customers in the system and in the queue was two individuals, respectively. The probability of the cashiers being idle was recorded at 71.28%, with an average customer waiting time of 0.7696 minutes in the queue and 1.1829 minutes within the entire system.

This study proposes a hybrid approach combining Frequent Itemset Mining (FIM) and Algorithms and Genetic Algorithm for product layout optimization with a case study at PT. MPI Pharmacy. The FIM Algorithms is employed to extract association rules from 1,000 beauty product sales transactions, while the Genetic Algorithm is utilized to perform product placement based on these rules generated, with storage space constraints. Implementation results demonstrate that this hybrid approach successfully identifies 18 key association rules (support >15, confidence >80%) and proposes an optimal layout configuration model that reduces customer travel distance by 25 compared to conventional layouts used by MPI Pharmacy. The Genetic Algorithm solves complex rule-based optimization problems for product placement, which are limited by traditional market basket analysis (MBA) approaches that rely solely on association rules. This hybrid sistem not only improves pharmacy operational efficiency at PT MPI (reducing service time by 18) but also increases cross-selling opportunities by 22. Hence, inventory operations management impproved efficiently. The research findings contribute to the field of retail space optimization by effectively integrating association rule mining and evolutionary computation.  

Village digitalization is one of the village government transformation strategies in providing fast, transparent, and easily accessible services to the community. Through the use of village websites, village governments strive to accelerate administrative processes, disseminate public information, and strengthen community participation. The methods used in this community service activity are participatory and collaborative. The results of the activity evaluation show that the implementation of digitalization in Sungai Baung Village has had a positive impact on the efficiency of service time, increased access to information, and community involvement in village development. However, challenges such as limited human resources, internet infrastructure, and community digital literacy are still obstacles that need to be overcome. Therefore, ongoing efforts are needed in training and mentoring, provision of digital facilities, and collaboration between parties to ensure the success of village digitalization as a whole.

In response to increasing competition in the manufacturing sector, PT X—a copper busbar manufacturing company—implemented Lean Manufacturing supported by Value Stream Mapping (VSM) to improve production efficiency and reduce supply chain costs. This study utilizes VSM, Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (5 Whys) to identify sources of waste and formulate improvement strategies. The analysis identified three dominant wastes: waiting time, product defects, and excess inventory. These were mainly caused by the lack of standardized material procedures, inadequate supporting equipment, and poor integration between the incoming inspection process and the Enterprise Resource Planning (ERP) system. To address these issues, the study proposes installing silica rolls, providing air wipers and flatness tools, developing standardized work instructions, and integrating Internet of Things (IoT) technology with the ERP system for real-time monitoring. As a result of implementing these solutions, PT X successfully reduced its defect rate from 6.23% to 1.32%, decreased lead time, and achieved notable savings in supply chain costs. The findings demonstrate that integrating Lean Manufacturing principles with VSM can effectively eliminate non-value-added activities, streamline production processes, and enhance overall competitiveness. This study reinforces the strategic value of Lean tools in continuous improvement initiatives within the manufacturing industry.

This study is dedicated to the design and implementation of a web-based inventory management platform for PT. Paramata Baraya International. replacing the manual Excel system that is ineffective and susceptible to mistakes. The Rapid Application Development (RAD) method is chosen for its quick and iterative approach to software development. The system is built using the Next.js framework and PostgreSQL as the database, with Prisma ORM for database management. Key features include item management, real-time status tracking, calibration, maintenance, equipment rental, and automatic notifications. The implementation results show a 60% increase in item search efficiency, 95% data accuracy, and an 80% reduction in manual input errors. This study is significant as a solution for companies engaged in calibration and maintenance of measuring instruments.

ABSTRACT Information services on campus are often delayed due to reliance on staff, resulting in long queues and inefficient waiting times. This study aims to design and develop a robotic interaction system based on speech recognition and Natural Language Processing (NLP), equipped with a virtual button as an alternative activation method. The system allows users to interact with the robot using voice, while the virtual button provides an additional option for users who are more comfortable with touch-based interaction. The research method employed is prototype development, which includes the design, implementation, and evaluation of the system. Testing was conducted to assess the effectiveness of the system in delivering information services quickly and accurately. The results show that the developed system can enhance service efficiency, reduce dependence on staff, and facilitate faster and more practical interactions between users and the robot. This study is expected to contribute to the development of technology-based public service systems, especially in the campus environment. Keywords: robotic interaction, speech recognition, NLP, virtual button, public service

Motor vehicle workshops need an information system that can help in managing services, customers, and spare parts stock. This study designs a web-based workshop management system with a case study at the Fam Auto workshop, which aims to improve operational efficiency and data transparency. The methodology used is the waterfall system development model with stages of analysis, design, implementation, and testing. The results of this study are a web-based application that is able to record service transactions, manage customer data, monitor inventory, and generate reports. This system is expected to replace the manual process that has been used at Fam Auto and make it easier for workshop owners to monitor operational activities in real-time.

Voting at SMK Plus YSB Suryalaya has traditionally been carried out manually, resulting in a time-consuming process that is prone to errors. Therefore, to improve the efficiency and accuracy of the election process, an online voting system is needed. This research aims to develop a web-based E-Voting system with a Multi-Vote model, allowing voters to vote for multiple candidates across different election categories. This system is designed to simplify the election process at the school, with features such as candidate registration, voter registration, real-time voting, and automatic processing and tabulation of election results. The system was tested using Black Box Testing to ensure its functionality and security, and the results show that the system performs well and meets user requirements. With this system, it is expected that the election process at SMK Plus YSB Suryalaya can be carried out more efficiently, transparently, and with fewer errors.

This study aims to examine the role of the Enterprise Resource Planning system in improving the quality of corporate financial reports. Accurate, relevant, and timely financial reports are the main key to effective decision making by management and stakeholders. However, many companies, especially in Indonesia, still face obstacles in preparing financial reports due to manual processes that are prone to errors, information delays, and lack of data integration. The Enterprise Resource Planning system as an integrated information technology solution is expected to be able to overcome these problems by automating business processes and providing data in real time. The research method used is a literature review that examines various sources of scientific literature related to the implementation of Enterprise Resource Planning and its impact on the quality of financial reports. The results of the study indicate that the implementation of Enterprise Resource Planning significantly improves the accuracy, efficiency, relevance, and timeliness of financial report preparation, while supporting data transparency and accountability. Constraints such as limited human resources, implementation costs, and resistance to change remain challenges that must be managed properly. This study concludes that Enterprise Resource Planning has a strategic role in improving the quality of financial reports and is an important investment for companies that want to increase their competitiveness and effectiveness of financial management in the digital era.