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This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

The purpose of this study is to investigate the factors that lead to poverty in different Indonesian regions between 2018 up to 2024. The Gross Regional Domestic Product per capita, the Human Development Index, and the Open Unemployment Rate are the independent factors used in this study, whereas poverty levels are the dependent variable. The Central Statistics Agency provided secondary data that was used in a quantitative manner. Using EViews 12 software, panel regression techniques were used to process the data. The study's conclusions show that, at a significance level of less than 0.05, economic and human development factors simultaneously significantly affect poverty rates across Indonesian regions. The coefficient of determination indicates that the variables in the model can account for the majority of the variations in poverty levels. These findings demonstrate how important a region's economic status and level of human development are to efforts to reduce poverty. It is anticipated that this research will help the government develop more effective and long-lasting methods for reducing poverty.

This study aims to analyze production performance and the factors influencing the productivity of mining operations at PT. XYZ during August 2025. The evaluation covers production achievement against the corporate work plan (RKAP) and the owner’s operational plan, equipment availability (Physical Availability), the productivity of loading and hauling units, and various types of loss time that reduce effective working hours. The results indicate that production realization reached only 65% of the RKAP target, while achieving 102% of the owner’s plan for total material. Low equipment availability, high loss time such as no hauler, wait operator, and front preparation, as well as the underperformance of 80-ton and 100-ton units, were identified as the main contributors to production deviation. Additional influencing factors include unit reassignment, suboptimal haul road conditions, and insufficient operational fleet numbers. The study recommends optimizing fleet management, enhancing preventive and predictive maintenance programs, reorganizing hauling workflows, and controlling dominant loss time sources to improve operational efficiency and production target achievement in future periods.

This study aims to analyze the factors that affect passenger satisfaction at the airport through three main perspectives, namely: service, technology, and operations. The approach used is a literature study of ten scientific journals that discuss airport service quality from various aspects. The results of the study show that service quality, especially those covering SERVQUAL dimensions such as reliability, responsiveness, empathy, assurance, and physical evidence, plays a major role in shaping service user perceptions. The technology perspective, through the implementation of self-service such as self check-in, Flight Information Display Sistem (FIDS), and digital service applications, is proven to increase efficiency and convenience, even contributing up to 96.8% to user satisfaction according to one study. Meanwhile, from an operational perspective, aspects such as queue time at check-in counters, public facilities, and accessibility to the terminal also have a significant impact on the overall passenger experience. The conclusion of this study emphasizes the importance of integration between the three perspectives in designing strategies to improve airport service quality. Suggestions are given to airport managers to continue to improve services, expand technology adoption, and reorganize operations to create a safe, comfortable, and satisfying travel experience for all service users

This study aims to analyze the factors influencing passenger satisfaction at airports through three main perspectives: service, technology, and operations. The background of this research is based on the increasing competition between airports in providing an optimal travel experience amidst the development of the aviation industry and the increasing passenger demands for service quality. This study uses a literature study approach by analyzing ten selected scientific journals that specifically discuss airport service quality from various perspectives. The results of the study indicate that the service perspective, specifically those encompassing SERVQUAL dimensions such as reliability, responsiveness, empathy, assurance, and tangibles, has a significant contribution in shaping the perception and satisfaction of airport service users. The technology perspective also plays a significant role, particularly through the implementation of self-services such as self-check-in, Flight Information Display Sistem (FIDS), e-gates, and digital service applications that simplify the travel process. One of the studies analyzed shows that the application of technology can contribute up to 96.8% to user satisfaction, indicating the significant role of digitalization in this industry. From the operational side, factors such as speed of service at the check-in counter, queue time management, completeness and cleanliness of public facilities, and ease of access to the terminal have an equally important influence. These findings underscore that passenger satisfaction is influenced not only by service quality at the point of direct interaction, but also by the smoothness of the overall operational flow. The study's conclusions emphasize the importance of integrating these three perspectives in strategic planning for airport service improvement.  

Sumba Kitchen offers a variety of food menus. Not just local specialty food. There is also a menu of Indonesian food such as meatballs, rawon, fried noodles and processed sea fish. There are also western dishes such as pizza, burgers and spaghetti. So for those of you who find it difficult or afraid to enjoy new dishes, you can choose Indonesian and Western menus which are already familiar to your tongue, this could be a solution. Another interesting thing apart from opening a restaurant and cafe, the owner of Dapur Sumba also opened a bakery called Galaxy Bakeries. So for tourists who want to buy snacks to snack on while traveling or who intend to buy souvenirs for people at home, you can buy them here. Dapur Sumba also provides HR (Human Resources) who are qualified to provide services in restaurants, cafes and bakeries. . The human resources prepared by the owner of Dapur Sumba are in the form of (reliability, responsiveness and empathy). This research aims to analyze the influence of service quality on customer satisfaction. There are three hypotheses developed in this research, namely: 1) Customer quality has a positive effect on customer satisfaction. Data collection method is through distributing questionnaires to respondents directly. The respondents in this research were Sumba Kitchen customers. The number of questionnaires distributed was 98. The test technique used uses a validity test and a reliability test. Testing the first and second hypotheses uses a simple linear regression test. The research results show that service quality has a positive and significant effect on customer satisfaction  

This research explores the factors contributing to the high rate of workplace accidents in the shipping industry, highlighting the complexity of challenges in enhancing safety. Key factors such as unexpected weather conditions, human error, lack of training, unsafe working environments, and high workload pressure create an environment susceptible to accidents. Holistic prevention efforts, including improved training and the implementation of advanced technology, are necessary to reduce risks. The study also emphasizes the unique work environment impacts, such as weather and the complexity of ship operations, as well as the psychological, organizational, and social influences on safety and occupational health. With a better understanding of these factors, it is hoped that more effective prevention strategies can be designed to create a safer working environment for ship crews.

The factors that can affect the delay in the completion of road construction projects within the government of the Depok City Public Works Agency which are obtained from the analysis are poor material procurement; insufficient human resources; less than optimal contract management; procurement of construction equipment that is not managed; there is a request for changes to the work being done; financial problems; poor construction work monitoring and control; negative intervention from the community; slow decision making by the owner and changes in field conditions (weather, accidents, etc.). Based on the relative index method, the most influential factors are: 1. Unmanaged procurement of construction equipment 2. Changes in field conditions. Meanwhile, in the factor analysis method, it is obtained: Inadequate human resources (in the form of quantity and quality) less incompatible with the existing location of activities CCO (Contract Change Order) often occurs.

Idle time or disturbing time is time wasted while the ship is moored is a classic problem that has not been solved in Indonesia. Tanjung Emas Port is the busiest port in Semarang City, Central Java, which is a stopover center for providers of sea transportation facilities and infrastructure in the context of loading and unloading means the transfer of cargo from and onto ships to be stockpiled into or directly transported to the place of the owner of the goods through the port dock using loading and unloading complementary equipment. This study aims to determine the effect of port services, ship engine tools, and loading and unloading productivity, on Idle Time at Tanjung Emas Port Semarang. The population in this study were ship crews from the deck departement division and the sample used in this study was 119 respondents. And do not use the sampling technique because the number of samples is the same as the population, then the data is analyzed using multiple liniar regression with the help of (software) Statistical Package (SPSS) Version 26. The formulation of the regression in this study is as follows: Y= 0,597 + 0,368X1 + 0,356X2 + 0,213X3 + m. From this equation it is know that the most dominant variable influencing Idle Time is the port Service variable with a regression coeffient of 0.368. The R2 test ( R The ) obtained a result of 0.443 or 44.3%, which means that Idle Time is influenced by the variable port Services, Loading and Unloadng Speed, and Ship Machinery Equipment which is equal to 44,3% and other factors that affect Idle Time Tanjung Emas Port Semarang, namely 100%.