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Digital transformation has become an important paradigm shift in the management of office documents and information in the modern era. This article discusses the application of the latest technology in the management of office documents and information, specifically in the company PT Victory Prima Abadi. Through this case study, we will see how the company explores the potential of digital technology to improve efficiency and productivity in their operations. By integrating various technology solutions such as financial program applications, a digital attendance system, and the use of Microsoft Excel for document management, the company has made strides towards more efficient document management. However, challenges remain, especially in dealing with the aspect of archive storage that still relies on manual methods. This article aims to explore the company's efforts in utilizing analytics and artificial intelligence technologies to improve efficiency in the archive shrinkage process and identification of documents that require long-term storage. The results show that the utilization of digital technology in document and office information management has had a significant positive impact and has become a key element in the company's strategy to achieve future operational success. By continuing to develop and implement appropriate technology solutions, companies can further optimize document and information management and prepare for the challenges and opportunities of an increasingly connected and rapidly changing business world.

Cahaya Grosir Indah is a retailer that sells various foodstuffs, clothing, electronics and other general goods. In this research, Cahaya Grosir Indah is the retail store we chose, whether there is an inappropriate layout of the store facilities. This research aims to help optimize the layout design of retail facilities using the Activity Relationship Chart (ARC) method which focuses on analyzing the relationship between activities in retail stores and Total Closeness (TCR) which focuses on the degree of closeness of each room facility in the Cahaya retail business. Indah Wholesale to set top priorities in retail development. Based on the results of the Activity Relationship Chart (ARC) calculation at Cahaya Grosir Indah, the first facility that was prioritized because the results were the highest was the cashier with a TCR (Total Closeness Rating) score of 162, product shelves with a score of 126, warehouse with a score of 34, facility center with a value of 94, and toilets with a value of 18. Therefore, for retail it is important to place other facilities with high value results and are prioritized so that they can be close to each other and facilitate operational processes. The layout has a strategic impact in the longer term. A strategic and comfortable layout provides benefits for retailers to make it easier to organize efficient layout positions and can reduce the density of activity in retail and make it easier for customers to shop.

This research aims to evaluate the impact of SIAKAD system and information quality on user satisfaction at Esa Unggul University, Tangerang. In this digital era, higher education institutions need to optimize information technology to support academic activities. Esa Unggul University has implemented SIAKAD for various academic purposes, including online registration, taking KRS, KHS, and accessing grades. However, there are still challenges such as slow access and inaccurate information. This research applies the SUS (System Usability Scale) method to measure system usability. A quantitative approach was used by conducting a survey of student users of SIAKAD. The findings show that system quality, especially the ease of use aspect, as well as information quality, especially accuracy, have a significant influence on user satisfaction. The level of user satisfaction is reflected in the high average score and positive perceptions of students regarding the effectiveness and efficiency of SIAKAD. However, there is still room for improvement, especially in the user interface and adding features that better support academic activities. The results of this research have important implications for Esa Unggul University in its efforts to improve the quality of SIAKAD to provide more optimal services to students.

This research employs a qualitative approach to explore the revenue realization of fruit traders at the Ciputat Market, South Tangerang City. Primary data was obtained through interviews with five fruit traders over a period of two months. The results indicate an average monthly income of Rp16.107.600 with expenditures of Rp7.610.000, resulting in an average net profit of Rp2.219.000. The analysis of the income-expenditure ratio indicates good business sustainability (R/C Ratio = 1.06). Findings also identify factors such as price fluctuations and seasons that affect outcomes. Nevertheless, fruit traders at the Ciputat Market have the potential to optimize their income with more effective pricing strategies.

The digital era has brought significant transformation in various aspects of life, including in the world of sharia auditing. Advances in information and communication technology (ICT) open up new opportunities to optimize the sharia audit process through computerization. This research aims to examine the role of technology, the number of information systems, and the level of technological integration in the development of the computerized sharia audit process. The purpose of writing this article is to build a hypothesis of the influence between variables to be used in further research. The results of this literature review article are that this research shows that computer-assisted audit techniques have no influence on audit quality. Meanwhile, auditor performance and locus of control have a positive and significant influence on audit quality.

Production problems are a very important problem for business actors because they can affect the profits they earn. The smoothness of production itself is influenced by whether or not the raw materials will be used. In this case, raw material inventory management can help reduce possible risks. Raw material inventory management is the most active element in company operations which is continuously obtained. In this case, researchers use the Safety Stock, Economiq Order Quantity (EOQ) and Reorder point inventory management methods to optimize the purchase of raw material inventory so that it becomes optimal and efficient. In this research, problems were found at the Tofu Factory regarding raw material supplies. In this case, the Tofu Factory always experiences a shortage of raw material stock and experiences waste in the costs incurred. This resulted in the Tofu Factory experiencing delays in deliveries to consumers. The results of the analysis show the use of raw material inventory management methods applied at the Jagabaya tofu factory, namely SafetyStock, Economic Order Quantity (EOQ) and Reorder Point. The implementation of this method is not optimal so this method does not work as it should because of several inhibiting factors. The management of raw material supplies at the Jagabaya tofu factory still does not use a structured method, so that in the production process stock runs out often occur. Therefore, raw material inventory management at tofu factories is only based on estimated sales numbers without clear calculations.

This study proposes an approach for human fall classification utilizing a combination of Weighted Moving Average (WMA) and Convolutional Neural Networks (CNN) on the SisFall dataset. Falls among elderly individuals pose a significant public health concern, necessitating effective automated detection systems for timely intervention and assistance. The SisFall dataset, comprising accelerometer data collected during simulated falls and activities of daily living, serves as the basis for training and evaluating the proposed classification system. The proposed method begins by preprocessing accelerometer data using a WMA technique to enhance signal quality and reduce noise. Subsequently, the preprocessed data are fed into a CNN architecture optimized for feature extraction and fall classification. The CNN leverages its ability to automatically learn discriminative features from raw sensor data, enabling robust and accurate classification of fall and non-fall events. Experimental results demonstrate the efficacy of the proposed approach in accurately distinguishing between fall and non-fall activities, achieving high classification performance metrics such as accuracy, precision, recall, and F1-score. Comparative analysis with existing methods showcases the WMA-CNN hybrid approach's superiority in classification accuracy and robustness. Overall, the proposed methodology presents a promising framework for real-time human fall classification using sensor data, offering potential applications in wearable devices, ambient assisted living systems, and healthcare monitoring technologies to enhance safety and well-being among elderly individuals.

Green Sukuk is a financial instrument that combines the principles of Islamic finance with sustainable development goals. This article discusses the role, practices, mechanisms, as well as challenges and efforts of the government in developing Green Sukuk in Indonesia. Green Sukuk have great potential in supporting the transition to a sustainable economy by providing a source of funding for environmentally friendly projects. However, challenges such as lack of awareness and capacity of financial institutions need to be overcome to optimize the contribution of Green Sukuk. Through strengthening regulations, outreach, product innovation and international cooperation, it is hoped that the Green Sukuk market can continue to develop and support the achievement of sustainable development goals in Indonesia.    

The need for soybeans in Indonesia increases along with population growth, with demand reaching 2.7 million tons in 2023. Soybeans are an important raw material in the food industry, especially for processed products such as tempeh. This research aims to analyze the control of soybean supplies in the Bogor Regency Tofu and Tempe Cooperative (KOPTI) using the Economic Order Quantity (EOQ) method. The Economic Order Quantity (EOQ) method was chosen because it is able to optimize the costs of ordering and storing raw materials. Primary data was obtained through interviews with KOPTI owners and employees. The analysis results show that the optimal order quantity is 333,371 kg with an order frequency of 4 times per year. In addition, the safety stock required is 82,252 kg, and the reorder point is 85,865 kg. Using the EOQ method can save total inventory costs from IDR 14,332,491.57 to IDR 910,102.39. This research suggests KOPTI to apply the Economic Order Quantity (EOQ) method to increase cost efficiency and maintain stable raw material supplies.

E-Government and Digital Governance serve as crucial foundations in the transformation of public services, leveraging information and communication technology. The primary focus is to provide easy and efficient access for the community. Through innovations such as the "Jemput Bola Administrasi Kependudukan" (Administration Retrieval Initiative) within the Kalimasada program, the Surabaya city government expedites administrative processes by utilizing the Klampid New Generation (KNG) website. This research aims to optimize this innovation in the Wonorejo Rungkut sub-district of Surabaya. Standards of public service regulated by laws serve as benchmarks for enhancing service quality, covering procedures, processing time, costs, service offerings, infrastructure, and staff competencies. The research findings indicate that service procedures run smoothly, processing times are relatively fast, services are provided free of charge, service offerings include various citizenship documents, and infrastructure is adequate. This innovation reflects the integration of technology into governance, accelerating and streamlining public administration processes.

E-Government and Digital Governance serve as crucial foundations in the transformation of public services, leveraging information and communication technology. The primary focus is to provide easy and efficient access for the community. Through innovations such as the "Jemput Bola Administrasi Kependudukan" (Administration Retrieval Initiative) within the Kalimasada program, the Surabaya city government expedites administrative processes by utilizing the Klampid New Generation (KNG) website. This research aims to optimize this innovation in the Wonorejo Rungkut sub-district of Surabaya. Standards of public service regulated by laws serve as benchmarks for enhancing service quality, covering procedures, processing time, costs, service offerings, infrastructure, and staff competencies. The research findings indicate that service procedures run smoothly, processing times are relatively fast, services are provided free of charge, service offerings include various citizenship documents, and infrastructure is adequate. This innovation reflects the integration of technology into governance, accelerating and streamlining public administration processes.

E-Government and Digital Governance serve as crucial foundations in the transformation of public services, leveraging information and communication technology. The primary focus is to provide easy and efficient access for the community. Through innovations such as the "Jemput Bola Administrasi Kependudukan" (Administration Retrieval Initiative) within the Kalimasada program, the Surabaya city government expedites administrative processes by utilizing the Klampid New Generation (KNG) website. This research aims to optimize this innovation in the Wonorejo Rungkut sub-district of Surabaya. Standards of public service regulated by laws serve as benchmarks for enhancing service quality, covering procedures, processing time, costs, service offerings, infrastructure, and staff competencies. The research findings indicate that service procedures run smoothly, processing times are relatively fast, services are provided free of charge, service offerings include various citizenship documents, and infrastructure is adequate. This innovation reflects the integration of technology into governance, accelerating and streamlining public administration processes.

This study examines the role of Green Human Resource Management (GHRM) in increasing employee awareness and participation in eco-friendly tourism management in Semarang Regency. Using a mixed-methods approach, this research analyzes the implementation of GHRM practices, evaluates the level of employee awareness and participation, tests the influence of GHRM on employee awareness and participation, and identifies factors affecting GHRM effectiveness. The results show that GHRM practices, especially green training and development and green employee involvement, significantly predict employee awareness and participation levels in environmentally friendly practices. However, the implementation of GHRM in the Semarang Regency tourism industry is still not optimal and faces various challenges. A more contextual, participatory, and integrated approach is needed to optimize the role of GHRM in supporting sustainable tourism. Practical implications of this research include the need to integrate sustainability principles into all HR functions, design relevant training programs, involve employees in GHRM initiatives, align reward systems with sustainability goals, and develop an organizational culture that supports sustainability. This study provides valuable insights into the role of GHRM in realizing sustainable tourism and contributes to achieving the Sustainable Development Goals.

Groovy Space Coffee and Kitchen is a coffee shop located in the Bogor City area that serves several types of drinks such as coffee and tea and several foods, both snacks and heavy meals. This research aims to optimize the layout of the sitting room at Groovy Space Coffee and Kitchen using the Activity Relationship Chart (ARC) method based on the results of the Total Cleseness Rating (TCR) calculation. The ARC method is used to determine optimal seating space layout arrangements by considering the shape of the room and the available area. Meanwhile, the TCR method is used to overcome potential conflicts in the use of seating space, such as the density of visitors at certain times. The application of these two methods is expected to produce a seating space layout that is efficient, comfortable, and able to better accommodate the number of visitors. The results of this research show that the new layout is more effective and efficient compared to the previous layout with the results showing that the new layout includes additional seating in the outdoor area and also a change in concept from outdoor to semi-outdoor.

. Indomie as the market leader of instant noodles in Indonesia often launches flavor innovations with culinary flavors typical of certain regions. During 2024, Indomie has released three flavor innovations, namely the authentic Japanese Indomie Tori Kara in collaboration with the Pop Mie brand, Indomie Goreng Rawon Pedas Mercon from East Java, and Indomie Goreng Kebuli flavor from the Middle East. Thus, it is necessary to conduct media monitoring to monitor the development of netizens' responses to the Indomie product innovation. This research uses a positivism research paradigm with a quantitative descriptive research method that optimizes the use of Brand24 tools to obtain sentiment data, mentions and reach, and trending hashtags from online media. The results of Indomie's media monitoring research in the March 2024 period show that the number of positive Indomie sentiments tends to increase every week with the X application and Tiktok as the largest source of sentiment. This increase was influenced by several factors such as influencers, the use of hashtags, and the momentum of Ramadan 2024. In addition, Indomie also received negative sentiments from netizens regarding the quality of flavors that differ in each region and the comparison of Indomie with its competitors which are considered superior.      

his study examines the business development of seaweed in Indonesia during the period of 2019-2024 through a comprehensive literature review. Findings indicate substantial growth in the seaweed industry during this period, with promising increases in production and exports contributing significantly to the national economy. However, challenges such as production issues, global competition, and regulatory obstacles are also identified. Strategic measures are needed to optimize the potential of this industry, including improving production quality, market expansion, government collaboration, and human resource development. Close cooperation with relevant stakeholders, including the government and academic institutions, can strengthen the seaweed industry. Supportive policies, investment in research and development, and training programs to enhance workforce skills are key to overcoming the challenges faced by this sector. The findings of this study are expected to provide valuable insights for stakeholders in the seaweed industry and make a meaningful contribution to academic literature on this topic. With the right steps, the seaweed industry in Indonesia has the potential to continue growing sustainably and significantly benefit economic growth and societal welfare.

In this era of globalization, it is crucial to optimize state revenue through zakat and taxes based on the principles of maqâsid al-syarî’ah. This article presents challenges and opportunities in optimizing both instruments in Indonesia. Through an analysis of state income and zakat potential, a literature review method is employed to formulate an optimization model. The model encompasses increasing public awareness, institutional strengthening, developing supportive regulations, enhancing synergy, and building public trust. The implementation of this model requires commitment from all parties and must be based on the principles of maqâsid al-syarî’ah. Thus, it is hoped that state revenue through zakat and taxes can be optimized to achieve the fair and prosperous goals of national development.

This research aims to investigate theoretical and practical approaches in optimizing the potential of human resources and employees. The research method used is a literature review with a qualitative approach to explore the conceptual framework supporting effective HR management practices. The literature review includes an in-depth review of relevant academic literature, covering key concepts in HR management such as motivation, leadership, career development, and performance measurement. Critical analysis of various theories and models helps in understanding the complexity and dynamics of HR management. The findings of this literature review indicate that theoretical approaches provide a solid conceptual foundation for understanding the basic principles in HR management, while practical approaches enable the implementation of strategies appropriate to the organizational context. The integration of theory and practice is key to developing effective and sustainable HR management strategies. The findings of this literature review provide valuable insights for practitioners in designing and implementing successful HR management practices. By understanding the theoretical framework and applying it contextually, organizations can optimize the potential of their human resources and employees, thereby enhancing organizational performance and competitiveness in the dynamic global market.

This research investigates the prevalent challenges and identifies strategic approaches for effective resource utilization in secondary schools. Through a mixed-methods study involving quantitative analysis and qualitative interviews, the research highlights significant problems such as budget constraints, outdated educational materials, and disparities in resource distribution between urban and rural schools. The study reveals that 75% of surveyed schools encounter difficulties in resource allocation, with urban schools having better access to technology and trained personnel compared to their rural counterparts. Qualitative findings underscore the importance of several strategies to optimize resource usage. Needs-based allocation is identified as a critical approach, with schools that tailor resources to specific needs reporting improvements in student engagement and achievement. The integration of technology, combined with comprehensive teacher training on digital tools, is pivotal in enhancing learning experiences. Moreover, collaboration with the community and local businesses emerges as a valuable source of additional resources and real-world learning opportunities. The establishment of resource-sharing networks among schools is also noted as an effective measure to mitigate the impact of budget constraints and promote a more equitable distribution of materials and expertise. This study contributes to the discourse on educational equity and efficiency, offering actionable insights for policymakers, educators, and administrators. By emphasizing the need for localized solutions, technological equity, and community engagement, the research points towards a more equitable and efficient educational landscape. Future research directions include exploring the longitudinal impacts of these strategies on educational outcomes and the role of policy reforms in supporting resource optimization efforts.    

The objective of this research is to devise a personalized recommendation system for a freelancing platform to optimize the freelancer project matching process. This enhancement is intended to improve user experience and increase the success rate of projects. The system will recommend projects to freelancers based on their skills and preferences by employing data analysis and machine learning methodologies. The research methodology adheres to the Cross Industry Standard Process for Data Mining (CRISP-DM), incorporating six stages: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The proposed project employs a hybrid recommendation strategy, integrating Content-Based Filtering through KNearest Neighbors (K-NN) and Cosine Similarity, Collaborative Filtering via Singular Value Decomposition (SVD), and recommendations derived from Word2vec. Evaluation metrics such as precision, recall, F1 score, MAP, and MRR are utilized to assess model performance. The results, including precision scores of 0.80 for KNN and 0.728 for SVD, recall scores of 0.60 for KNN and 0.623 for SVD, and F1 scores of 0.69 for KNN and 0.671 for SVD, as well as a MAP of 0.75 and MRR of 0.80 for Word2vec, demonstrate the efficacy of the hybrid recommendation system in delivering accurate and varied project suggestions to freelancers, with a weighted average ensemble learning model emerging as the most effective solution.