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Teachers, lecturers, students, and the community use the library as a knowledge and information resource in the context of implementing learning. A library is often thought of as a sizable book collection that is kept for the express purpose of gathering, maintaining, and dispensing books. Students can look up and gather the most recent scientific data in the library, which aids them with their assignments. People's preference for instant information via social media, especially students, is one of the reasons reading is becoming less popular these days. Aside from the fall in students' interest in reading, two other reasons why libraries are silent are their incapacity to adapt to the changing times and their failure to satisfy the demands of students. As a result, Balige must have a public library that can serve everyone in the city and can meet the demands of community activities. This Public Library design uses a contextual architectural approach to integrate various elements of the surrounding building facades.

Foodstuffs are raw materials in the form of agricultural, vegetable and animal products that are used by the food processing industry to produce a food product. Food ingredients consist of plant foods and animal foods. Food is the most basic need for human resources in a country. Food prices sometimes experience erratic increases or decreases. The aim of this research is to determine the results of food price predictions in the Deli Serdang Regency area using the Backpropagation algorithm. The data used in this research is food price data from 2020 to 2023 which comes from the official National Food Ingredients website. This research uses the Backpropagation algorithm artificial neural network method which uses several architectural models and the results of this test will produce the best accuracy values. The test results show that the best architecture for research on implementing the backpropagation algorithm in predicting food prices in Deli Serdang Regency is 2-10-1 with an accuracy of 87.5% and the 2-3-8-1 architecture with an accuracy of 87.5%.

. The preservation of static archives in the Office of Religious Affairs (Kantor Urusan Agama/KUA) plays a crucial role in safeguarding the legal and administrative evidence of marriage for the community. However, many marriage records created between 1978 and 2002 at the Office of Religious Affairs of Medan Labuhan Subdistrict have experienced physical deterioration due to age, storage limitations, and environmental factors. Based on archival observations, out of 51 archival bundles (2,550 records), 76.4% were categorized as damaged, while only 23.5% remained in good condition. This condition highlights the urgency of implementing a systematic digitalization strategy as an effort to preserve static archives and ensure long-term access. This study aims to analyze the implementation of marriage archive digitalization as a preservation strategy and to examine its effectiveness in maintaining the authenticity, integrity, and accessibility of archival records. The research employs a qualitative descriptive approach through observation, documentation analysis, and field-based data interpretation. The findings indicate that digitalization contributes significantly to minimizing physical handling, preventing further deterioration, improving retrieval efficiency, and strengthening archival security. Nevertheless, several challenges were identified, including limited technological infrastructure, lack of standardized procedures, and human resource constraints. The study concludes that digitalization is not merely a technological transition but a strategic preservation effort that requires institutional commitment, proper archival management standards, and sustainable planning. By integrating digital preservation practices into archival governance, the Office of Religious Affairs can enhance the protection of marriage archives as static archives and ensure their continued legal and administrative value for future generations.

Energy efficiency has become a critical focus in manufacturing plants due to rising operational costs and increasing environmental concerns. The growing importance of energy management is driven by the need to reduce energy consumption, lower emissions, and enhance overall operational efficiency. Traditional maintenance practices, such as reactive and preventive maintenance, often lead to unnecessary downtime, high repair costs, and inefficient energy usage. In contrast, predictive maintenance (PdM), supported by Internet of Things (IoT)-enabled sensor networks, offers a proactive approach to minimizing energy waste by predicting equipment failures before they occur. This study develops a predictive maintenance framework using IoT-based sensor networks to optimize energy usage and reduce energy losses in manufacturing plants. The research begins with an overview of IoT sensor network architectures and their applications in industrial automation, including sensors such as temperature, vibration, and pressure sensors. It explores predictive analytics techniques, such as machine learning and artificial intelligence, used for failure prediction, which are key to enhancing energy efficiency. The study emphasizes how predictive maintenance contributes to industrial sustainability by reducing carbon footprints and optimizing energy consumption. The research methodology involves the installation of IoT sensors in critical machinery, real-time data analysis using machine learning algorithms for failure prediction, and energy consumption measurement before and after implementing IoT-based interventions. The results show significant improvements in energy consumption efficiency and operational productivity. Predictive maintenance led to reduced unplanned downtime, increased equipment reliability, and a more sustainable manufacturing process. However, challenges such as sensor integration, initial setup costs, and data security concerns were identified. The study concludes with recommendations for integrating IoT-based predictive maintenance systems into manufacturing plants to further optimize energy usage and promote sustainability.

Turtles are integral components of two ecosystems, both coastal and marine. They play a crucial role in maintaining a healthy marine ecosystem. A nutritious sea fosters millions of fish, serving as a significant protein source for humans. However, this is increasingly at odds with the presence of turtles, which are gradually becoming endangered. This issue stems from various factors, including large-scale commercial fishing activities near turtle nesting sites and worsening climatic changes. These factors have the potential to disrupt the balance of marine ecosystems. The approach adopted in this design is an ecological architecture approach. It aims to restore turtle habitats in coastal conservation areas to attract nesting turtles and sustainably develop tourist facilities that harmonize with the surrounding environment.

The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decomposition, particularly in its parallel and GPU-based implementations, has shown superior performance in batch processing and industrial-scale simulations. Meanwhile, iterative methods such as Jacobi and Gauss–Seidel remain relevant due to their flexibility in numerical modeling, with further developments for block matrix systems, finite element applications, and FPGA architectures. The integration of these enhanced algorithms is not only beneficial for the advancement of scientific software development but also supports practical applications in engineering simulations, large-scale data optimization, and machine learning. Therefore, an integrative review of modern numerical algorithm developments is crucial in bridging the gap between industrial demands and research progress in scientific computing.

In the era of digitalization at universities, one of which is Prima Nusantara University, managing student data has become an important aspect for higher education institutions to support campus administration activities. This research aims to design a student biodata entry information system that is efficient, integrated and easy to access. This system is designed to automate the registration process and manage student data, which was previously done manually or Google from in collecting student biodata, thereby reducing the risk of errors and duplication of data. A prototype student biodata entry information system that allows users to input, update and manage student data. real-time integrated at Prima Nusantara University, especially for new student data, for campus administration purposes, data is usually collected manually, so I am interested in creating an information system for new student data entry in searching for student data on the Prima University campus. Archipelago

The development of information and communication technology in Indonesia has grown significantly over the past few years. Thus, there are many opportunities to digitize the business process of a business or business ecosystem. One of them is in the field of digital economy by adapting business processes into a digital platform, such as designing an e-commerce platform in a village that has commodities in it so that related commodities can increase the visibility of their products. This research uses Belega Village as a case study location considering that this village has a commodity in the form of bamboo crafts. Research was conducted to build a web-based bamboo handicraft e-commerce application that would be expected to increase product visibility. The application itself is built using the Agile Development method using the sprint model. This application is built with a microservice architecture with Express.js technology as a backend service and Next.js to create client applications and PostgreSQL as a DBMS. The result of this research is a web-based e-commerce application that is expected to increase the visibility of products from bamboo crafts from Belega Village.

Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.

The Institute of Fine Arts and Design is an art school that accommodates high levels of art study program enthusiasts in developing skills in the arts, producing creative and appreciative graduates. This study explores design aspects, such as function, site planning, design, and structure related to the art institute as a basis for design development analysis. The method used is a qualitative method through literature studies and field observations. Literature studies are used to analyze data related to the function of similar buildings and similar themes, namely metaphorical architecture. Field observations are conducted to observe and collect data related to the activities of the Fine Arts and Design Institute. The study concludes that in the design of fine arts and design institutes, creative design is needed through a metaphorical architecture approach. Metaphor architecture was raised as a theme because of the application of the principle of transferring information from one subject to another. The application of this concept is demonstrated by the form of the building mass series and the building facade with the play of secondary skin shapes.

This study presents the implementation of Transfer learning using the ResNet-18 architecture for classifying 10 musical instrument categories based on visual representations of audio signals. The audio waveform is transformed into image-like inputs appropriate for CNN processing, accompanied by data augmentation and ImageNet-standard normalization. ResNet-18 is utilized due to its efficient feature extraction capability enabled by residual blocks, which help overcome vanishing gradient issues. The model was trained for 10 Epochs using the AdamW optimizer and Cross-Entropy Loss. Experimental results show that the model achieved a maximum validation accuracy of 77.35%, with a stable downward trend in training loss, indicating effective feature learning. However, several misclassification cases were observed, particularly among instruments with similar spectral characteristics, such as drum–violin and tabla–sitar. These findings demonstrate that while ResNet-18 performs reliably for musical instrument classification, further improvements remain possible through deeper architectures like ResNet-50, more comprehensive hyperparameter optimization, and the use of richer audio representations such as Mel-Spectrograms. This research provides an essential foundation for developing automated music analysis systems powered by Deep Learning.

The development of information technology (IT) has had a significant impact on increasing the efficiency and quality of health services. Specialized Eye Hospitals, as facilities with specialized services, require IT infrastructure that can support medical and administrative operations optimally. The TOGAF framework (The Open Group Architecture Framework) offers a systematic approach to designing, managing and implementing effective IT architecture. This study aims to examine the application of TOGAF in IT infrastructure planning at a Special Eye Hospital. The research methods used include IT needs analysis, IT architecture modeling based on TOGAF, and evaluation of the architecture implementation. The research results show that the application of TOGAF is able to increase operational efficiency, speed up access to patient information, and improve overall service quality. This research contributes to providing practical guidance for other hospitals wishing to optimize their IT systems using the TOGAF approach.

This research aims to design and developing a hydrofluorocarbon (HFC) leak monitoring system in the cold storage cooling system on the Anchor Handling Tug Supply (AHTS) ship by utilizing Internet of Things (IoT) technology. HFC leaks in cooling systems can cause environmental hazards and operational inefficiencies. The proposed system integrates sensors and IoT devices to continuously monitor HFC levels, detect leaks in real-time, and provide instant alerts to crew and management. The system architecture includes sensors for HFC detection, a microcontroller for data processing, and a communication module for data transmission to a central monitoring platform. Real-time data can be accessed through a user-friendly interface, enabling timely intervention and maintenance. Initial testing shows that the system is effective in identifying and reporting HFC leaks, potentially reducing environmental impacts and improving the safety and efficiency of cold storage operations on AHTS vessels. Further development and extensive field testing are planned to refine the system and validate its performance across a wide range of operational conditions.

The research conducted on Katsu Semur Jengkol aims to add a new menu variation for burgers at Kedai Bikin Nagih. Generally, Jengkol is only prepared as Balado Jengkol, Rendang Jengkol, and Semur Jengkol. This study aims to assess the preference level of the panelists based on five attributes: appearance, color, texture, aroma, and taste, as well as recipe standards and business analysis. The method used in this research is research and development, involving a series of experiments and developments using hedonic scale scoring tests with 25 panelists.  The summary results of the main taste preference test regarding the appearance, color, texture, aroma, and taste of Katsu Semur Jengkol show that 76.6% of the panelists liked it very much, while 22.4% liked it. Based on the research conducted, the standard recipe includes 300g of jengkol, 100g of chicken, 1 egg, 20g of flour, 20g of breadcrumbs, 5g of flavoring, 2g of salt, 30g of onion, 5g of green onion, 2g of pepper, 1ml of jengkol essence, 14g of red onion, 7g of garlic, 5g of candlenut, 8g of red chili, 0.2mg of nutmeg, 5g of flavoring, 6g of sugar, 15g of sweet soy sauce, 2g of salt, 100ml of water, 100g of flour, and 150g of breadcrumbs.  The business analysis calculations indicate a cost price of Rp.1,176, a selling price of Rp.4,000, and a food cost of 30.59%. The break-even point is reached with sales of 600 pieces, and a profit of Rp.5,000,000 per month can be achieved with sales of 2,600 pieces. It is recommended that future researchers focus on innovation, especially in the culinary field, by utilizing other raw materials available in our surroundings.

The loss of personal data is a serious problem that is becoming more frequent, especially in relation to the publication of data on official websites such as the Supreme Court. This review addresses the issue of loss of personal data due to publication to the Decree Directory Archive in light of Law No. 27 of 2022 on Personal Data Protection (PDP). The purpose of this study is to analyze how Law No. 27 of 2022 can address the problem of loss of personal data arising from publication on the Supreme Court website. By understanding the existing regulations, it is hoped that a solution can be found to strengthen personal data protection in Indonesia. The approach used is prescriptive and legal, with analysis of current regulations and past data breach cases. Secondary data from legal literature and incident reports are analyzed to provide a comprehensive picture of the problem. All parties involved should take serious precautions against data leaks caused by postings on official websites such as the Supreme Court. To prevent similar incidents in the future, it is necessary to strengthen regulations through Law No. 27 of 2022 and raise awareness of the importance of personal data protection.

The implementation of an effective and efficient information system is very important in managing letter archives in government offices. This study aims to design and implement a letter archive information system using the Scrum method at the Umbu Ratu Nggay Barat District Office. Scrum was chosen as a software development framework because of its adaptive and iterative nature, allowing the team to accommodate changing needs quickly. Through this approach, system development is carried out in several sprints, which ensures that the development process runs in a structured manner with a clear division of tasks. The results of this study indicate that the implementation of the Scrum method can increase efficiency in the letter archive management process and accelerate the response to changes in system needs. With this letter archive information system, the sub-district office can manage letter documents in a more organized, easily accessible, and secure manner. This study is expected to be the basis for further development to improve the quality of administrative services in government institutions.

This research discusses the Utilization of Digital Technology in the Media Transfer Process of Static Archives at the Medan City Archives Depot Office. The purpose of this research is to find out the extent to which they utilize current digital technology to transfer static archives. This research method uses a qualitative descriptive approach. By using data collection techniques through interviews, observation and documentation. The informants in this study include the head of the section, archivists and staff responsible for the archive section at the Medan City Archives Depot Office, which have been selected by the researcher according to the criteria of the research subject. The results showed that how the static archive media transfer process is there by scanning the data then the data is processed into a simple form in Microsoft Excel then next to the data there is a link that connects to the original file. The utilization of technology at the Medan City Archives Depot Office is not yet optimal because a lot of equipment such as computers is inadequate and there are still very few human resources who take care of archives.

Selondang Kelapa Market is the main market in Tembilahan City, the fire incident in 2019 caused this market lose its vital function. The of the Selondang Kelapa Market aims to re-optimize the function of the market as before and develop it into a market with modern buildings and as regional tourism destination. The application of Tembilahan’s local potential and the Neo-Vernacular Architecture theme to buildings is expected to make the Selondang Kelapa Floating Market a city icon and landmark in Tembilahan City.

This study aims to desribe speech difficulties n children aged 4-5 years at TK Al-Khairat Kindergarten, Gorontalo City. The researcher employed a qualitative research method focusing on the speech diffuculties experienced by children. The study subjects were three children and their parents at TK Al-Khairat Kindergarten in Gorontalo City, Data was collected through interviews and documentation. Data analysis was conducted through data reducation, data ranging from poor arculation to difficulties in understanding and using vocabulary. The causes influencing these difficulties include motor speech disorders such as apraxia, lack of supportive social interactions, and familly communication patterns. These speech difficulties significantly impact the children’s social-emosional development, such as low self-concept and difficulties building social-emotional development, such as low self-concept and difficulties building social relationship. The study highlights the importance of early detection and appropriate intervention to help children overcome speech difficulties, ultimately supporting their social, emotional, and academic development.

Currently, the level of use of means of transportation in Indonesia is quite high, this can be found in daily life. Almost all the time we see a large number and type of vehicles popping up. This research is (1) normative research so that the data source used is a secondary data source obtained from company records, (2) empirical research so that the data source used is a primary data source obtained from the results of interviews. The results of this study show that: (1) The Regulation of Motor Vehicle Tax Collection Procedures in Kupang City is carried out based on Presidential Regulation Number 5 of 2015 concerning the Implementation of the One-Stop Manunggal Administration System by going through the stages of registration, examination of registration files, data collection, determination and control of SSPD, re-examination of SSPD and affixing of paragraphs, payment, control of SKPD, endorsement, and finally archiving, (2) The first inhibiting factor namely economic factors where there are taxpayers who have low income, high dependent burdens and unstable sources of income. The second factor is weak compliance or legal awareness of taxpayers.