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The implementation of risk management is an important method that is carried out in order to identify risk factors that may arise during the implementation of the project. However, the implementation of risk management still faces some obstacles in its implementation. Therefore, this study aims to analyze the barriers to the implementation of risk management in construction projects in Surabaya. A total of 80 respondents filled out questionnaires from construction service providers including contractors and consultants. Respondents involved include professional experts such as Project Managers, Site engineers, Site managers, implementers, estimators, General Managers and Company Directors. Data processing using fuzzy AHP method as a data processing tool and decision making. The results of the study revealed that the main factors that can hinder the implementation of cost risk management are inaccurate cost estimates (Y4) with the highest weight of 0.433, lack of quality Control (Qc) supervision criteria (Y5) is ranked second with a weight of 0.288, poor coordination between stakeholders (owner,contractor and consultant) (Y1) is ranked third with a weight of 0.274, lack of risk management training (Y3) is ranked fourth with a weight of 0.005, and some, old age) (Y2), the work can not be done according to the work drawings (Y6), limited skilled human resources (Y7), materials not according to specifications (Y8), improper initial cost estimation (Y9), late progressive payment from the owner (Y10) ranked fifth jointly because it has an equivalent weight value of 0.These findings conclude that accurate cost estimation (Y4) is very important in construction projects because it becomes the main basis in budget planning, decision making, and risk management.

This study aims to determine the effect of Teamwork and Motivation on employee performance at Bosscha Space, both partially and simultaneously. This research method uses quantitative methods with a population of 32 people. Data collection using a questionnaire given to the company. From the results of data processing, it was found that the Teamwork variable (X1), the Motivation variable (X2) and employee performance (Y) were declared valid and reliable for research. After doing the t test, Teamwork has a tcount value of 2.557 and a t table of 2.045 where t count is greater than t table means Teamwork has a partial effect on employee performance. The Motivation variable has a tcount value of 3.396 and a t table of 2.045 where t count is greater than t table means Motivation has a partial effect on employee performance. Based on the results of the F test, the Fcount value of 32.642 is greater than the Ftable of 3.32. Due to the value of Fhitung> Ftabel (32.642> 3.32), H0 is rejected and H3 is accepted, meaning that the Teamwork and Motivation variables simultaneously affect employee performance.

The increasingly rapid use of information technology is now an important need for various sectors of people's lives. The various conveniences offered, such as speed and accuracy in data processing, make information technology difficult to separate from daily life, especially in the world of education. At SMP Negeri 1 Tanarighu, the processing of student payment data is still carried out conventionally, which risks causing errors in data processing. Therefore, it is very necessary to have an information system that can process student payment data centrally and integrated. This information system is expected to reduce human error and increase efficiency in the administrative process. The Scrum method, known for its ability to manage projects with limited time and dynamic needs, is very appropriate to apply in the design of this information system. By using the Scrum method, the process of creating information systems can be carried out faster and more flexibly, adjusting to evolving needs, and ensuring more accurate and efficient data management at SMP Negeri 1 Tanarighu.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

The Web-Based Information System for Family Planning (FP) Participant Registration at the Wee Karou Community Health Center in West Sumba Regency aims to simplify the registration process for FP participants, improve efficiency, and provide easier access for the community to FP services. Previously, the registration process was conducted manually, which often led to delays, data processing errors, and time inefficiency. Therefore, an information system is needed to digitalize the registration and data management processes of FP participants. This system is developed using web-based technology that enables the Wee Karou Health Center to conduct online FP participant registration, monitor program progress, and generate reports more quickly and accurately. The main features of the system include online FP participant registration, participant data management, service schedule monitoring, and the generation of statistical reports related to FP services. The implementation of this system is expected to reduce data entry errors, accelerate the registration process, and enhance transparency and data accuracy. In addition, it provides convenience for the community to register without having to visit the health center directly. Thus, the Family Planning services at Wee Karou Community Health Center are expected to become more optimal, effective, and efficient in supporting government programs for population control and better family planning.

The administrative system implemented at the Tangerang City PMI Headquarters is still semi-computerized, causing several issues such as inconsistent document formats, higher risk of recording errors, longer processing times, and excessive paper use. Additionally, delays in determining the leader’s availability often hinder the disposition and signing process, resulting in postponed activities. To address these problems, a Web-Based Administrative Management Information System was developed, named “Si-Markot”. This system aims to improve the efficiency of managing incoming and outgoing correspondence through digital archiving, electronic disposition, and digital signature features for leaders. Si-Markot functions as a structured digital repository that enables quick document searches and real-time tracking. The research methodology includes observation and literature study, with system development based on the Rapid Application Development (RAD) approach. System modeling was conducted using Unified Modeling Language (UML), implemented with PHP programming language and phpMyAdmin as the database. The system was tested using the Black Box Testing method. The results of this study produced a web-based administrative management application specifically designed for managing correspondence at the Tangerang City PMI Headquarters, improving efficiency, reducing paper usage, and accelerating document disposition and processing.

Settlements are an important aspect in regional development, where settlements reflct human activities in fulfilling basic needs for housing. Wai Mhorock Village is one of the administrative villages located in Abepura District, Jayapura City. Based on Regional Regulation No. 18 of 2006 this study aims to analyze and examine the settlement patterns developing in this village and to identify whether population factors are the main influence on settlement distribution, or whether other factors play a role. The research method used is descriptive quantitative. Data collection was carried out through comprehensive field observation, documentation, in-depth interviews and data processing using applications such as ArcGIS, SPSS, or Excel.The results of this study show that the settlement distribution in Wai Mhorock Village is categorized as dispersed. This pattern occurs due to various factors, and based on regression results, it was found that population variables—such as those not yet working and those already employed—significantly influence the Y coefficient. From these findings, it is expected that policies can be formulated to enhance regional development and to address issues within Wai Mhorock Village.

This study aims to determine the effect of interest rates and inflation on the profitability of property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2020-2024. Profitability is measured using the Return on Assets (ROA) ratio, while interest rates refer to the BI-7 Day Reverse Repo Rate and inflation is calculated based on the Consumer Price Index (CPI) data from Bank Indonesia. This study uses a quantitative approach with multiple linear regression analysis methods and classical assumption tests supported by data processing using SPSS version 27 software. The sample was selected using purposive sampling techniques with criteria of companies that consistently submit annual financial reports, do not record losses during the research period, and use the Rupiah currency. The research results indicate that partially, interest rates have a positive and significant effect on profitability, while inflation does not have a significant effect on profitability. However, simultaneously, interest rates and inflation together have a significant effect on the company's profitability. These findings are expected to serve as a strategic reference for companies in formulating financial policies to maintain profitability stability amidst macroeconomic dynamics.

Patient satisfaction refers to the degree of emotion felt by an individual, arising from an assessment of the quality of medical care received, compared to initial expectations. Suspected dissatisfaction among visitors to the Huta Padang Community Health Center, Asahan Regency, appears to be due to the inadequacy of the primary care facilities provided at the institution. Information gathering was conducted from July to August 2023. This analytical study aimed to measure patient satisfaction with essential health care at the Regional Technical Implementation Unit (UPTD) of the Huta Padang Community Health Center, Asahan Regency. The target group of the study included all polyclinic patients visiting the Saribudolok Community Health Center. Respondents were selected using a purposive sampling technique, with a total of 64 participants. The study findings were summarized through a frequency distribution table, followed by statistical data processing via a Chi-square test at a 95% significance level (α = 0.05). The analysis revealed a relationship between primary care quality and patient satisfaction, indicated by a p-value of 0.018. Therefore, it is recommended for Community Health Center leaders to actively improve the standards of assistance provided, for example by providing encouragement or incentives for staff to carry out their duties optimally, so that they can realize patient anticipation.

The purpose of this study is to develop an additional device for vehicles with fuel injection systems to improve fuel consumption efficiency and reduce exhaust emissions, even for older vehicles. The turbocyclone is an auxiliary component installed in the air intake duct before the throttle body to create a swirling airflow entering the combustion chamber. Testing was conducted at engine speeds ranging from 1500 rpm to 6500 rpm, with increments of 1000 rpm. This research aims to minimize fuel consumption and exhaust gas emissions. The experimental method was used, testing exhaust gas contents such as HC, CO, CO₂, and O₂ using a gas analyzer, and measuring fuel consumption based on fuel volume and time. Data processing employed a factorial DOE (Design of Experiments) to analyze results. The dependent variables were exhaust gas emissions and fuel consumption, while the independent variable was the turbocyclone blade angle variations of 20°, 40°, and 60°. The results show that the best reduction in exhaust emissions (HC, CO, CO₂, and O₂) and fuel efficiency occurred at a 40° blade angle, whereas fuel consumption increased at a 60° blade angle.

Millions of people suffer from malaria, one of the most serious parasitic diseases that threatens human life and causes high rates of morbidity and mortality, particularly in tropical and subtropical regions. Traditional diagnostic methods, such as blood smear examination, which can be performed using a microscope, face many challenges due to the inaccuracy of manual analysis and the reliance on individual skills. Therefore, the use of machine learning or deep learning algorithms to automate malaria detection offers promising solutions to improve accuracy, reduce diagnosis time, and enhance scalability. In this paper, a multi-class convolutional neural network (CNN)-based model is designed to classify cells infected with Plasmodium falciparum (P. falciparum) and Plasmodium vivax (P. vivax) and uninfected cells from blood smears, as most severe cases and deaths are caused by P. falciparum and P. vivax. This is achieved by building and training a CNN from scratch, rather than using transfer learning from pre-trained models. The proposed network was trained and tested on the Kaggle dataset, which consists of 27,558 images of infected and uninfected individuals. These images were divided into 13,779 images of uninfected individuals, 6,890 images of individuals with P. falciparum malaria, and 6,889 images of individuals with P. vivax malaria. The images were preprocessed using several operations, including blurring, denoising, and morphological processing. The proposed model achieved the best evaluation accuracy when compared with other deep learning algorithms, with an accuracy rate of 96.5%, a sensitivity rate of 95%, a specificity rate of 97.6%, and an F1-score rate of 96.5%. These results demonstrate the effectiveness of the proposed model as a tool to assist clinicians in malaria diagnosis, reducing reliance on manual analysis.

This study aims to analyze how the processing of village potential in increasing the original income of the village in Nebe village, Talibura District, Sikka Regency. The research method used is qualitative descriptive with data collection techniques through interviews, observation and documentation. The results of the study show that the management of village potential in Nebe Village has not been running optimally, which has an impact on the lack of increase in Village Original Income (PADes). This can be deduced from four main aspects: namely: The decline in public participation in paying contributions is caused by a lack of transparency and accountability in fund management, Inadequate physical market conditions, such as leaky stalls, irregular aisles, and the lack of facilities such as toilets and parking areas, are the main causes of the decline in revenue from market levies, drinking water depot business units managed by BUMDes do not reach the annual revenue target and shows a downward trend from year to year, and there is a decrease in revenue from tax revenue sharing caused by low public awareness, administrative problems such as duplication of SPPT, and the number of residents from outside the area who are not recorded.

This study discusses the effect of store atmosphere, service quality, and layout on purchasing decisions at Sambi Swalayan. This study uses quantitative methods with the aim of knowing the extent to which these three variables influence consumer decisions in making purchases. The research sample was obtained using the Accidental Sampling technique, which is a sampling technique based on chance, where the researcher chooses respondents who are accidentally encountered at the research location and deemed suitable for sampling. The number of respondents obtained in this study was 99 people. In data processing, researchers use several statistical analysis techniques, including validity and reliability tests to test the accuracy and consistency of research instruments. In addition, a classical assumption test was carried out to ensure that the data met the requirements for regression analysis, then continued with multiple linear regression analysis to determine the relationship and influence between variables. The coefficient of determination (R²) is used to see how much the independent variable contributes to the dependent variable, while the t test and f test are used to test the effect partially and simultaneously.The results showed that the store atmosphere had a significant effect on purchasing decisions with a sig value. 0,000 < 0,05. Conversely, service quality has no significant effect because the sig value. 0,383 > 0,05. However, store layout has a significant influence on purchasing decisions with a sig value. 0,000 < 0,05. Simultaneously, the three variables have a significant effect on purchasing decisions at Sambi Swalayan with a sig value. 0,000 < 0,05.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

Good Corporate Governance (GCG) is a form of decision by placing the company to be more organized and structured, according on the principles of transparency, independence, responsibility, accountability, also fairness. This study goal to determine the effect of professionalism, internal control systems, also internal audits on the implementation of GCG. This study uses a quantitative research type. The population comprised of 156 individuals is the personnel of the Administration & Commercial Division, Engineering Division, and Operational Division at PT Angkasa Pura Indonesia, Supadio Airport Branch, which are involved in the implementation of GCG. Utilizing the Slovin formula and data collection techniques, the sampling technique is purposive and non-probability, with a total of 115 respondents receiving questionnaires. Validity, reliability, classical assumption tests, multiple linear regression analysis, t-test, also coefficient of determination were used in this study to facilitate data processing, assisted by IBM SPSS version 25. The study findings indicate that professionalism, internal control systems, also internal audits on the implementation of GCG. Partially, the professionalism has a significant positive impact on the implementation of GCG, can be seen from the sig value 0.007 < 0.05, the internal control system has a significant positive impact on the implementation of GCG, can be seen from the sig value 0.000 < 0.05, and internal audit has a significant positive impact on the implementation of GCG, can be seen from the sig value 0.000 < 0.05.

Sustainable development is one of the main priorities in an effort to maintain a balance between economic growth, environmental sustainability, and social welfare. Green financial instruments such as Green Bonds and the implementation of Green Budget Tagging have emerged as important strategies in supporting the sustainable development agenda in Indonesia. This study aims to analyze the effect of green bonds and green budget tagging on the achievement of sustainable development. The method used is a quantitative approach with regression analysis, where green bonds and green budget tagging are independent variables, while sustainable development is the dependent variable. The data used are annual time series data from 2018-2023. Data processing was carried out using the SPSS 25 program. The results of the study indicate that partially Green Bonds do not have a significant effect on sustainable development in Indonesia (statistical t significance value 0.970 > 0.05). Green Budget Tagging has a significant effect on sustainable development in Indonesia (statistical t significance value 0.021 < 0.05). Simultaneously, both variables significantly influence sustainable development in Indonesia (F-statistic significance value 0.034 < 0.05). This finding indicates that optimizing green bond issuance and implementing green budget tagging can strengthen green financing and ensure budget allocation is more focused on sustainable programs. The implications of this research emphasize the importance of the government and related institutions' commitment to expanding green financial instruments as a key pillar in supporting inclusive and environmentally sound development in Indonesia.

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition

Food hygiene is a critical factor that must be considered when consuming food sold to the public. Improper food handling and processing may lead to contamination by harmful microorganisms. This study aimed to evaluate the hygiene practices of traditional Batak restaurants located in Kelurahan Besar, Medan Labuhan Subdistrict. This research was a descriptive survey study. Data collection was carried out through direct observation, field notes, and interviews with food handlers regarding industrial hygiene in Batak restaurants. The study used a qualitative research design with a phenomenological approach to explore hygiene practices in depth. The findings revealed that Restaurant A had mostly complied with hygiene standards in various aspects such as: location and building conditions, food ingredient selection, raw food storage, food preparation/cooking, cooked food storage, transportation of cooked food, and food serving. These practices were aligned with the guidelines outlined in the Regulation of the Minister of Health of the Republic of Indonesia No. 2 of 2023 on Environmental Health, particularly concerning hygiene and sanitation requirements for restaurants and food establishments. In contrast, Restaurant B had not met most of the hygiene standards in those same areas. The restaurant’s location and building conditions, ingredient selection, food storage, cooking process, food transportation, and serving methods were found to be below the acceptable standard as per the same Ministry of Health regulation. Conclusion: The study concluded that adherence to food hygiene standards plays a crucial role in ensuring food safety. Restaurant owners are advised to consistently maintain hygiene in terms of location and infrastructure, food selection, storage, cooking, transportation, and serving practices.

By developing a good marketing strategy, entrepreneurs can maintain their business today and consumer satisfaction has an important role in a business, shown through consumer attitudes towards purchasing products sold. This study aims to determine the influence of product quality, service quality and price on consumer satisfaction at La Bella Italia Restaurant, Kota Wisata Cibubur. The research method used is quantitative statistics. The population of this study were consumers who visited to make purchases at La Bella Restaurant, Kota Wisata Cibubur. This study uses a simple random sampling technique without certain specific criteria using the Slovin formula approach by distributing questionnaires to 85 respondents. Data collection methods using observation, interviews and questionnaires with data processing using SPSS 25. Based on the results of the study, it shows that product quality has a significant effect on consumer satisfaction at La Bella Italia Restaurant, Kota Wisata Cibubur. Service quality has a significant effect on consumer satisfaction at La Bella Italia Restaurant, Kota Wisata Cibubur and Price has a significant effect on consumer satisfaction at La Bella Italia Restaurant, Kota Wisata Cibubur. Furthermore, product quality, service quality and price have a significant effect on consumer satisfaction at La Bella Italia Restaurant, Kota Wisata Cibubur.

The method used in this paper, when viewed from the nature of exploration is applied research, from the nature of explanation is non-causality research, and the method used is qualitative method.  The purpose of this paper is to introduce a path analysis research model. Path analysis research is widely used in social sciences such as business economics, management sciences and also in general education sciences.  By introducing this type of path analysis research model, the authors hope, this model can be used  by students and lecturers in Christian higher education. The path analysis research model includes applied research, where the relationship between causality variables and quantitative data processing and collection methods.  The path analysis research model can answer the direct influence or indirect influence of exogenous variables on endogenous variables; In contrast to regression models that only answer the direct influence of exogenous variables on endogenous variables. Path analysis research models are classified into: moderation model, mediation model and combined model of mediation moderation (modmed).  In the moderation model, in addition to exogenous variables and endogenous variables, there are also moderation variables.  In the moderation path analysis model, it is assumed that the moderation variable reinforces the influence of exogenous variables on endogenous variables. While in the mediation model there are exogenous variables, endogenous variables and mediation variables.  In the mediation model, the mediating variable is assumed to function to make the influence of exogenous variables on endogenous variables significant.  While the combined model (modmed) is a combination of moderation and mediation models.