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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.

Lecturers are a key element in improving the quality of education in higher education. Effective assessment of lecturer performance is essential for evaluation and improvement of education quality. Instituito Profissional de Canossa (IPDC) evaluates lecturer performance through manual methods involving students, this process often produces inaccurate data and slows down decision making. For this reason, a decision support system is needed that can accommodate all the criteria needed in decision making using the promethee method to assess lecturer performance. Promethee was chosen in this research because of its ability to consider data characteristics and provide more accurate results. This DSS will consider three assessment criteria, including education, community service and research. The results of the DSS implementation with the Promethee method can provide recommendations for lecturer performance rankings that help the quality assurance team in identifying outstanding lecturers.

The web-based MSME Data Collection Information System at the Central Sumba Cooperative, SME, Industry and Trade Office aims to improve efficiency in managing data and information related to Micro, Small and Medium Enterprises (MSMEs) in the Central Sumba region. This system is designed to simplify the process of data collection, monitoring, and reporting on MSMEs, which was previously done manually. Using web-based technology, this system can be accessed by MSME managers, local governments, and other relevant parties in order to accelerate data-driven decision making. This information system provides MSME data collection features, structured data storage, MSME development reporting, and statistical analysis that can assist in policy planning to improve the competitiveness and welfare of MSMEs in Central Sumba. With this system, it is hoped that it can support the development of the MSME sector in Central Sumba to be more transparent, accurate, and integrated.

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object This study aims to identify and analyze various behavioral finance factors that influence investment decisions, especially among the younger generation and individuals who invest. The method used is the Systematic Literature Review (SLR) with data sources from Google Scholar in the period 2020 to 2024. The focus of this study is on factors such as regret aversion, mental accounting, illusion of control, and overconfidence. The results of research from various journals show that these psychological factors have a significant, although varying, influence on investment decisions. Some studies confirm the strong influence of these factors, while others provide different results. Therefore, it is very important for investors and policy makers to understand these dynamics in order to improve the quality of investment decision making.

The problem faced by Kelurahan Kebagusan is that there is no structured system in determining the allocation of aid funds to the community, so the distribution process is often uneven and less targeted. So far, the determination of aid recipients is only based on subjective observations and manual assessments that have the potential to cause ineffectiveness in decision making. Therefore, a decision support system was designed to assist the kelurahan in prioritizing beneficiaries objectively and transparently. This system uses the Simple Additive Weighting (SAW) method, which allows the assessment process to be carried out based on the weights of several predetermined criteria, such as economic conditions, number of dependents, employment status, and home ownership. The result of this system development is a desktop-based application using the Java programming language, which is expected to help the kelurahan in managing data and performing calculations quickly and accurately, so that the allocation of aid funds can be more targeted and fair.   Keywords: Decision Support System, Simple Additive Weighting, Fund Allocation, Kebagusan Village.

The manufacturing industry faces major challenges in maintaining consistent product quality amidst the dynamics of technology and global competition. This study aims to develop an effective Business Intelligence (BI) implementation model to support data-based quality control. The method used is a conceptual design approach through integrated system simulation, including MySQL database, PHP backend, Power BI visualization, Google Cloud AutoML predictive analytics, and initial processing using Microsoft Excel. Historical production data for 12 months is used for model training and defect trend visualization. The simulation results show that the implementation of BI can reduce product defect rates, accelerate system response, and increase inspection process efficiency. Technical validation proves the model's prediction accuracy is above 90%, while field validation shows positive acceptance from users regarding the ease of use of the dashboard. This system not only supports early detection of quality deviations but also contributes to real-time strategic decision making. With an integrated technology approach, BI enables medium-sized manufacturing companies to adopt an adaptive and sustainable digital quality system, in line with the concept of Quality 4.0.

Improving the quality of education in higher education is highly dependent on the performance of lecturers, which includes teaching ability, contribution in research, community service, and other academic and non-academic activities. This study aims to design and implement a Decision Support System for measuring lecturer performance using the Analytic Network Process (ANP) method at Universitas Teknologi Akba Makassar (UNITAMA). The ANP method was chosen because of its ability to handle relationships between interdependent criteria. The study used a quantitative approach with descriptive and explanatory research types. Data were collected through document studies and interviews with related parties at UNITAMA. The results of system testing using the black box method showed that the system ran well as expected. This system is able to provide a comprehensive picture of lecturer performance and support more objective decision making. This study also opens up opportunities for further development, such as integration with other academic systems and feature enhancements based on institutional needs.

The Internet of Things (IoT) has become one of the leading technologies in digital transformation, including in customer relationship management (CRM). This article discusses how IoT integration in CRM systems can improve customer satisfaction and retention through real-time data collection, service personalization, and data-driven decision making. With a literature study and implementation analysis, this research shows that IoT technology can provide deeper insight into customer behavior, improve operational efficiency, and create a more satisfying customer experience.

Stock returns are one of the indicators in investor investment decision making. Factors that influence stock returns are internal (fundamental) factors, namely ROA, DPR and EPS. The purpose of this study was to determine: the effect of Return On Asset (ROA) on Stock Returns, the effect of Dividend Payout Ratio (DPR) on Stock Returns, and the effect of Earnings Per Share (EPS) on Stock Returns in Industrial Sector companies listed on the Indonesia Stock Exchange in 2020-2022. The data analysis method used is multiple linear regression analysis. Findings: Return On Asset (ROA) has a positive and significant effect on Stock Returns, Dividend Payout Ratio (DPR) does not affect Stock Returns, and Earnings Per Share (EPS) does not affect Stock Returns. The implication of this study for investors is that they can use ROA as the main indicator in analyzing potential opportunities to gain profit from capital gains from stock returns before making investment decisions. The implication for management is to focus on strategies to optimize the use of assets to generate greater profits. Meanwhile, the implications for regulators and policy makers are to encourage transparency in financial reports and the preparation of capital market literacy programs.  

Tea plantations are an important sector in Indonesia's agricultural industry that contributes significantly to the country's economy. The success of tea cultivation is highly dependent on the quality of the seedlings, making data collection and management of tea seedlings a crucial element. However, the manual data collection process still used at PTPN4 faces various challenges such as recording errors, data loss, and information delays, which will have an impact on operational efficiency and decision making. This study analyzes the application of a web-based information system for data collection of tea seedlings in PTPN4 plantations, with a focus on the provision or stocking of seedlings. The results show that a web-based system using the waterfall method can improve the efficiency, accuracy, and transparency of data management, while facilitating integration between units in the organization. Abstrak. Perkebunan teh merupakan sektor penting dalam industri pertanian di indonesia yang memberikan kontribusi signifikan terhadap ekonomi dalam negara. Keberhasilan budidaya tanaman teh sangat bergantung pada kualitas bibit, sehingga pendataan dan pengelolaan bibit teh menjadi elemen krusial. Namun, proses pendataan manual yang masih digunakan di PTPN4 menghadapi berbagai tantangan seperti kesalahan pencatatan, kehilangan data, dan keterlambatan informasi, yang nantinya akan berdampak pada efisiensi operasional dan pengambilan keputusan. Penelitian ini menganalisis penerapan sistem informasi berbasis web untuk pendataan bibit teh di perkebunan PTPN4, dengan fokus pada penyediaan atau stok terhadap bibit. Hasil penelitian menunjukkan bahwa sistem berbasis web dengan menggunakan metode waterfall dapat meningkatkan efisiensi, akurasi, serta transparansi pengelolaan data, sekaligus memfasilitasi integrasi antar unit dalam organisasi.

The manual payment system for Education Development Contributions (SPP) and student savings at SMP Putra Bangsa faces various obstacles, such as recording errors, loss of proof of payment, and difficulty tracking transaction history. This study aims to develop a web-based information system to overcome these problems. The research method involves needs analysis, system design using the Unified Modeling Language (UML), and web-based implementation. The results show that the designed system can simplify the transaction process, improve recording accuracy, and provide transparent access for students, homeroom teachers, and administration. This system is also able to produce real-time financial reports to support management decision making.

In the era of artificial intelligence (AI), technology is growing rapidly and changing the way businesses are run. AI enables automation, big data analysis, and increased operational efficiency. However, this development also raises various ethical issues that companies need to pay attention to so as not to harm consumers, society, and the environment. This study explores the paradigm of artificial intelligence in the context of business ethics, focusing on its impacts, challenges, and potential benefits in the business world. This study uses a systematic literature review approach from various reputable sources. The article criteria include literature published from 2019 to 2024 with the theme of business ethics in the AI era, and other articles relevant to this study. Based on the search, 15 articles were determined that were relevant to the predetermined criteria. The results of the study found that in this study, AI is not only a technical tool to improve operational efficiency, but is also able to redefine business ethics in the modern era. AI offers great potential to overcome traditional ethical challenges and create new paradigms in business decision making. However, this opportunity is also accompanied by significant challenges, such as algorithmic bias, data privacy, and lack of regulation. This discussion will review the role of AI in business ethics, the benefits it brings, the challenges it faces, and the steps that can be taken to optimize the ethical use of AI.

PT Bumi Daya Plaza faces various obstacles in managing inventory because it still relies on a manual system based on Microsoft Excel. This approach causes a number of problems, such as recording errors, low data security, and limited real-time access, which negatively affect operational efficiency and customer satisfaction. This study aims to develop a web-based inventory system to overcome these problems. This system is designed to be able to monitor stock in real time, automate the reordering process, and generate accurate reports automatically. The research methodology includes interviews, observations, and document analysis to ensure user needs are met. The implementation results show that this system can improve work efficiency, reduce recording errors, and strengthen data-based decision making. With this innovation, PT Bumi Daya Plaza is expected to increase competitiveness and respond to market needs more effectively.

Effective sales transaction management is very important for retail businesses. This research aims to develop a comprehensive sales invoice information system at the Sari Agung Semarang store to improve the efficiency and accuracy of the sales process. The system is designed to simplify invoicing, maintain accurate inventory records, and provide complete sales reporting capabilities. This research involved analysis of current sales processes, system design with a user-friendly interface, and integration with existing accounting and inventory management software. Implementation of this system is expected to increase customer satisfaction, reduce the risk of errors, and provide valuable insights to support better decision making.

This article discusses the importance of building an e-commerce ecosystem that supports the growth of Micro, Small and Medium Enterprises (MSMEs). In an era of increasingly rapid digitalization, MSMEs need to adopt e-commerce platforms to expand their market reach and increase their competitiveness. However, to achieve sustainable growth, a strong and sustainable e-commerce ecosystem needs to be built. In this article, the author identifies the opportunities that exist in building an e-commerce ecosystem that supports MSMEs. One of the main opportunities is access to a wider global market, which can open the door for MSMEs to sell their products to customers around the world. In addition, e-commerce platforms also provide opportunities for MSMEs to utilize new technologies such as artificial intelligence and data analytics to improve operational efficiency and decision making.    

The estimated rice sales at Perum Bulog Sub Divre Medan is crucial information in planning and managing rice supplies. In this study, we apply the Double Exponential Smoothing forecasting method to estimate rice sales at Perum Bulog Sub Divre Medan. This approach allows us to identify complex sales patterns and generate accurate forecasts to aid in informed decision making. We use historical rice sales data to train a forecasting model and evaluate its performance. Experimental results show that the Double Exponential Smoothing method can provide reliable estimates of rice sales, with a satisfactory level of accuracy. The implications of these findings are discussed in the context of inventory management and operational planning of Perum Bulog Sub Divre Medan.

This study aims to analyze the effectiveness of using Accurate in managing cash expenditures at PT Graha Mukti Indah, which is engaged in property development. Good cash expenditure management is very important so that companies are able to maintain liquidity and financial stability in the long term. The research method used is descriptive qualitative with a case study approach. Data was obtained through direct observation of the system used, interviews with finance staff, and documentation of cash expenditure transactions. The results show that Accurate is able to increase time efficiency in recording, reduce the level of human error, and provide real-time cash reports that can be used as a basis for managerial decision making. This finding implies that digitizing the financial system through the use of accounting software can be a relevant strategy for similar companies to improve transparency, accuracy, and the overall quality of financial decision making. Overall, the implementation of Accurate has proven to be an effective solution for improving cash expenditure management at PT Graha Mukti Indah, and its successful integration could serve as a model for other property development companies seeking to enhance their financial management practices.

In buying a laptop, you need to look at the specifications and standards that are tailored to your needs and requirements. Some of the standards and requirements include looking at several aspects of the criteria including the price of the laptop, RAM (random access memory), processor, hard drive capacity, screen size, VGA (video graphic adapter), battery power, weight, length of warranty, availability of spare parts, service range center. The fuzzy method is a method that makes it easy to find a value that is still vague and also linguistic, the use of the sample additive weighting (SAW) method is used to assist calculations in supporting decision making. The choice of using the SAW method is simpler in calculations, but the results of the calculations are accurate. From the results of calculations using the SAW method, it is calculated that between laptop 1 to laptop 7 with a price preference weight of 30, RAM 10, processor 10, hard disk capacity 10, screen size 5, VGA 3 (video graphic adapter), battery power 7, weight 5 , length of warranty 10, availability of spare parts 5, distance to service center 5, the highest order starts from laptop 1 with a total value of 18.4, laptop 7 with a value of 16.6, laptop 6 with a value of 13.6, laptop 5 with a value of 13.5, laptop 3 with a value of 13.2, laptop 4 with a value of 11.2, laptop 2 with a value of 8.9. The results of the assessment can change according to the needs of laptop buyers, who are more concerned with which criterion has the most important weight.

This study reveals how internal audit can be a valuable asset in ensuring regulatory compliance, mitigating risk, and improving operational efficiency. Using qualitative research methodology and in-depth case studies, this research identifies internal audit best practices that can be implemented by financial sector companies. The study results show that internal audit has a strategic role in providing confidence to the board of directors and external stakeholders regarding corporate governance. Internal audit is not only a compliance checker, but also a strategic partner who provides recommendations for improving processes and policies. This research highlights the importance of coordination between internal audit, risk management and compliance to achieve common goals in improving corporate governance. Apart from that, this article also emphasizes the need to adopt audit technology and data analysis as an effort to more effectively support decision making. Thus, this research provides an in-depth look at how internal audit can play a strategic role in improving corporate governance, providing valuable insights for practitioners, researchers and stakeholders in the financial sector and related industries.

The role of Information and Communication Technology (ICT) in increasing the efficiency of organizational support systems is becoming increasingly important. In the ever-changing business world, ICT has a key role in optimizing organizational operations and its ability to adapt to change. This research analyzes various aspects of the role of ICT in the context of the efficiency of organizational support systems. By referring to the latest literature and through relevant case studies, this research identifies that ICT enables business process automation, increased access to information, improved internal communication, and support in more timely decision making. Through the implementation of software, database management systems, collaboration tools, and data security strategies, ICT helps organizations reduce manual work, increase productivity, and reduce operational costs. In a digitally connected global context, ICT also enables organizations to be more responsive to changes in the market and regulatory requirements. This research states that ICT is a valuable asset in improving the efficiency of organizational support systems. With a commitment to intelligently integrating ICT, organizations can become more competitive and flexible in facing continuous changes in the business world.