Publication Search

This study is founded on the issues identified, specifically the dearth of learning resources, the LKPD's lack of training in mathematical critical thinking, and the fact that the LKPD that is currently available was created by educators who did not follow a scientific methodology, which has led to students' low levels of mathematical critical thinking. In order to educate mathematical critical thinking skills in class VIII MTsS Asy-Syarif Koto Laweh for the 2023–2024 academic year, this project intends to produce LKPD based on a scientific approach that satisfies the requirements of validity, practicality, and effectiveness. Using Sugiyono's development paradigm, this study is called research and development, or R&D. Student answer surveys, mathematical critical thinking ability assessments, and validation sheets are the equipment. The techniques for data analysis that are employed are validity analysis, practicality analysis, analysis of effectiveness. Based on development study conducted, LKPD is obtained with a validity level of 84.2%, of which 82.33% are on extremely practical criteria, 78.94% are on effective criteria, and 82.33% are on highly valid criteria for the level of practicality. We may conclude that the LKPD Asy-Syarif Koto Laweh created, which is based on the Scientific Approach to Train Mathematical Critical Thinking Skills in Class VIII MTsS, satisfies the requirements of being valid, practical, and efficient.

This research aims to design a web server-based heart rate monitoring system, which enables real-time heart rate monitoring from a remote location. The system utilizes a heart rate sensor connected to a microcontroller to measure and transmit heart rate data to a web server via an internet connection. The data obtained can be accessed directly by the user through a web-based interface, thus facilitating the monitoring of individual health conditions in an efficient manner. In addition, the system is equipped with a notification feature that alerts the user if any irregularities in the heart rate are detected, such as beating too fast or slow. As such, the system has the potential to increase alertness and speed up medical action if needed. The development of this system shows significant potential in supporting technology-based health applications, both for personal use and in a broader healthcare context. It is hoped that the system can contribute towards the development of more integrated and accessible health monitoring solutions.      

Fish is one of the easiest foods to get, but fish easily spoil. So there are 2 methods to extend the life of fish so that they do not experience a spoilage, namely drying and salting. In the 4.0 era, technology is growing rapidly, one of which is IoT-based technology, in order to help all activities carried out by humans to be more effective and efficient. The purpose of this study is to design an automatic salted fish dryer system using the Internet of Things (IoT) and determine the performance effectiveness of salted fish dryers using the Internet of Things (IoT). The research method of this scientific paper uses an experimental method to test the hypothesis that will be proposed and is useful for predicting an event. Data collection techniques using literature study, data collection, needs analysis, application design and application programming as well as algorithm implementation. Based on the results of the research, the design of an automatic salted fish drying equipment system based on the Internet of Things (IoT) has the ability to monitor the movement of the tool through a smartphone. All components of the appliance can operate automatically just by pressing the start button and setting the duration of the time and the existence of an Internet of Things (IoT)-based salted fish drying device can facilitate and streamline the time when the process of drying fish into salted fish. Initially, small anchovies weighing 100 grams were dried for 3 days, but after using a salted fish dryer, the drying process was reduced to 3 hours (09.00 a.m-13.00 p.m) with a moisture content of 18 grams, while small flying fish weighing 100 grams required a drying process for 5 days (09.00 a.m-13.00 p.m) and would have a moisture content of 30 grams in 3 hours after using a salted fish dryer.

Global climate change demands immediate technological advancements, particularly in the transport industry that continues to use fossil fuels. One viable solution is to reduce the size of vehicle engines to make them more fuel-efficient and lower carbon emissions. The purpose of this research is to assess the effect of reducing engine size on fuel consumption and CO₂ emissions in low-cost green car hatchbacks in Indonesia. The technique employed is straightforward analytical modeling, employing Pearson correlation analysis and linear regression among three significant variables: engine capacity, fuel economy, and CO₂ emission. The data are obtained from the technical specifications of four hatchback automobile models, all of which have an engine capacity of less than 1,200 cc. Findings indicate that smaller engine capacity is accompanied by greater fuel economy and lower carbon emissions. The lowest engine size of 998 cc is used in the Toyota Agya, which demonstrates the most efficient fuel and lowest emissions. The statistical analysis shows that there is an inverse relationship between engine size and fuel efficiency, but a positive relationship between engine size and CO₂ emissions. The limitation of sample size causes reduced statistical power of the model. In conclusion, engine downsizing can prove to be a productive approach in promoting green schemes, but additional research with a larger data set and other determinants must be undertaken to establish a more advanced and precise model.

Technology that develops very rapidly brings many changes, especially in the development of medical records in hospitals that are increasing. Electronic medical records bring many benefits, one of which is improving the quality of services in hospitals. The medical records used at Hermina Arcamanik Hospital are mostly electronic-based, including reporting. However, problems were found in the medical record installation, namely, there were several reports that had not been managed optimally. This is because reporting still uses google spreadsheets which requires data to be moved manually one by one, so it takes a long time, and the quality of reporting becomes less accurate. A real example of this problem can be seen in the process of reporting patient Mortalitys. Meanwhile, accurate and systematic reporting of Mortality data is essential in supporting decision-making in hospitals. Therefore, the design of a patient Mortality reporting information system is urgently needed to make time efficient and improve the quality of reports. The method used in designing this system is extreme programming and web-based. The results of this information system design are able to shorten the time to make Mortality reports and can produce accurate data

Correspondence administration activities play an important role in supporting the smooth operation of the school. At UPT SMP Negeri 27 Medan, manual management of correspondence previously caused various obstacles such as delays in letter distribution and difficulties in tracking archives. Therefore, a more effective and efficient correspondence management system is needed. This study aims to describe the implementation of a correspondence management system in improving administrative performance at UPT SMP Negeri 27 Medan. This study uses a qualitative descriptive approach with observation, interview, and documentation techniques. The results of the study indicate that the process of receiving and recording incoming letters has been running according to procedures and facilitates information management. The disposition of letters is carried out systematically and on target by the school leadership. The preparation and recording of outgoing letters is carried out by paying attention to good administrative rules. In addition, archiving, maintenance, and destruction of archives have begun to be carried out digitally, thereby increasing the efficiency and speed of administrative services.

Interesting agricultural cultivation technology that is easy to apply by the community, namely hydroponic agribusiness. Plant cultivation techniques without using soil, but using water enriched with nutrients needed by plants. These hydroponic plants are becoming increasingly popular because they are efficient, environmentally friendly, and can be done in limited land. This activity was carried out with the background of raising awareness, knowledge, insight, and skills in cultivating vegetables using the hydroponic method. The form of this activity is socialization carried out and attended by students, administrators and staff of Ma'had Zaadul Ma'ad on Jl. Padat Karya Lorong Melati RT 01, Talang Jambe Village, Sukarame District, Palembang. namely lectures, discussions, and direct practice on hydroponic cultivation. This activity received a good response from PKM participants, where participants enthusiastically followed the course of the workshop activities, namely making hydroponic plant seeds, hydroponic devices, making AB mix nutrients, planting, harvesting, to preparing financial reports. Hydroponic plants have a higher selling value compared to other plants. Of course, this is a potential profitable and promising business opportunity, so that male and female students, administrators and staff can utilize the yard to cultivate hydroponic plants. The prospects for this plant are very bright in the long term because consumer demand never stops. This program has a significant positive impact, but it is recommended that there be further development to expand the reach and sustainability of activities.

This study aims to design and build a hydraulic system capable of operating hatch opening and closing automatically and manually, with the application of Internet of Things (IoT) technology to monitor and control the system remotely. This system is designed to improve efficiency and ease of hatch operation on ships or other industrial applications, as well as prevent fires in cargo due to several factors such as unintentional negligence of the ship's crew and also weather factors with increasing temperatures. Where the automatic system uses a rain sensor to optimize time and energy, while manual control remains available as a backup option. This design involves the integration of hydraulic actuators, rain drop sensors, microcontrollers, and IoT communication modules that allow users to control and monitor the position of the hatch through a web-based application or mobile device. In compiling this scientific paper, researchers use experimental methods. This study shows the results that testing will be carried out directly by researchers, by testing the performance of the prototype of the automatic and manual hatch opening and closing hydraulic system design tool based on IoT by testing the effectiveness of the control system and sensor performance. In conclusion, this system successfully combines hydraulic and IoT technology to create an efficient, safe, and easy-to-use solution in practical applications.

Despite their 45% contribution to the global economy, international micro, small, and medium-sized enterprises (MSMEs) face considerable obstacles in enhancing their global competitiveness because they lack the resources and access to efficient market analysis (OECD, 2025). In order to optimize cross-border MSME market analysis, this research attempts to construct a machine learning (ML) model coupled with a mixed-methods approach. A combination of quantitative (XGBoost and SEM-AMOS were used to analyze transaction data of 500 Indonesian export MSMEs 2020–2024) and qualitative (interviews with 15 MSME players) methods showed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including exchange rate fluctuations (19%) and social media sentiment (28%). According to qualitative findings, the ML model does not identify cross-border regulatory constraints that 65% of MSMEs must deal with. These results validate market intelligence powered by AI as a strategic asset, extending the Resource-Based View paradigm. The significance of contextual adaptation and technological integration in the digital transformation of MSMEs is emphasized by this study.

This research is motivated by the importance of improving the quality of passport making services at the Pontianak City Immigration Office which still faces obstacles such as complicated procedures, limited quotas, lack of officer direction, and mismatches in passport collection schedules that cause public dissatisfaction. This research aims to classify the level of satisfaction of passport making services using the Naïve Bayes algorithm, measure classification accuracy, and develop a website-based system that helps evaluate and improve service quality effectively and efficiently. The method used is a quantitative approach with data collection through questionnaires, interviews, and direct observation of 205 respondents, then the data is processed using the Naïve Bayes algorithm which assumes independence between variables to classify satisfaction levels based on variables such as officer friendliness, officer ability, ease of procedure, and timeliness of service. The main findings show that the Naïve Bayes algorithm is able to classify satisfaction levels with 73% accuracy, 76% precision, 70% recall, and 73% F1-score, signaling the effectiveness of this method in identifying community satisfaction patterns. However, the results also indicate the need for improvement in user interface aspects and system responsiveness so that the system can be widely accepted and provide optimal benefits. The implication of this research is that the application of Naïve Bayes-based data mining methods can be an effective tool in evaluation and decision-making to improve the quality of public services, especially in the field of passport making, and encourage the development of interactive and empirical data-based public service information systems.

This study aims to analyze the effect of the implementation of the Core Tax Administration System (CTAS) in Indonesia on tax revenue performance, specifically on the efficiency of employee performance at the Directorate General of Taxes through qualitative approach methods. The sample collection technique used purposive sampling where respondents were determined with the criteria of being employees at the Directorate General of Taxes with the position of Tax Executor and Counselor. Coretax, as a digital technology-based tax system, is expected to increase the transparency of tax information and strengthen the supervision mechanism in tax management. This study aims to show that the implementation of Coretax contributes significantly to increasing the effectiveness of employee performance at the Directorate General of Taxes and strengthening the ability of tax authorities to search for transaction data, reduce opportunities for fraud, and accelerate the audit process of tax cases. The results of the study show that Coretax is able to improve service performance faster, more efficiently and transparently and. However, the challenges in implementation practice from early January 2025 to the end of April 2025 still have system error problems that do not always run smoothly and a series of other technical problems, both from the user interface of taxpayers and tax officers themselves.  

The Community Service program with the title "Counting to Save: Students’ Role in Water and Electricity Efficiency in Schools" aims to increase the awareness and skills of SD YPK 18 FJS Rumainum Bakaro students regarding the efficient use of natural resources, especially water and electricity. This activity involved students from grades I to VI, as well as students and lecturers from the University of Papua. The method used was a fun game-based educational approach, with material covering the efficient use of water and electricity and the application of math skills in calculating the consumption of these resources. The results of this activity showed that students were enthusiastic about participating in the activities and were able to understand and apply ways to save water and electricity. Through this approach, it is hoped that students will not only become agents of change in the school environment, but also be able to transmit these resource-saving habits to their families and surrounding communities. This activity makes a real contribution to efforts to create environmentally friendly habits and resource efficiency from an early age.

This study aims to determine how effective the fermentation process is carried out by the microorganism Saccharomyces cerevisiae in a soluble sugar medium, and how the sugar concentration affects the volume of carbon dioxide gas produced. The fermentation process was observed using a balloon as a simple indicator to measure the gas produced. The study was conducted with an experimental approach at MI Jamiyatul Mubtadiin, using three variations of sugar concentration: 10%, 15%, and 20%. The results showed that the higher the sugar concentration, the more carbon dioxide gas was formed. This shows that S. cerevisiae is able to utilize sugar efficiently to produce gas in the fermentation process. In addition to providing scientific understanding, this study is also associated with legal, religious, and philosophical values, thus providing a broader perspective on the application of fermentation in everyday life and education.

Economic growth is a complex process influenced by various factors, one of which is capital accumulation. Capital accumulation plays a crucial role in increasing production capacity, creating employment opportunities, and enhancing labor productivity. This study analyzes the role of capital accumulation in Indonesia’s economic growth by highlighting key factors contributing to national output expansion. Using the growth accounting approach and neoclassical growth theory, this research confirms that while capital accumulation contributes to per capita income growth, long-term economic growth remains dependent on efficient resource allocation and productivity improvements through innovation and human capital development. The Cobb-Douglas production model is applied to understand the relationship between capital, labor, and output in determining economic growth rates. The findings indicate that countries with higher savings and investment rates tend to experience faster economic growth. Therefore, economic policies focusing on increasing investment, strengthening human capital, and optimizing resource allocation are key factors in accelerating Indonesia’s economic growth.

The research analyzes the impact of technology on Indonesia's national economy, focusing on GoTo's contribution as a leading technology company. GoTo, born from the merger of Gojek and Tokopedia, has created an innovative business model that connects consumers and businesses through an efficient digital platform. Secondary data analysis from LPEM FEB UI (2023), Aji (2023), Jerry (2023) SMERU Research Institute (2022), and other relevant sources, shows that GoTo makes a significant contribution to Indonesia's GDP, estimated at Rp349 trillion to Rp428 trillion in 2022, equivalent to 1.8% to 2.2% of total GDP. In addition, GoTo has empowered MSMEs by increasing average incomes by 30% for those in its ecosystem, created approximately 1.7 million jobs, and contributed to reducing income inequality by lowering the Gini coefficient by 4.43% in its operating regions. The research also underscores the importance of GoTo in facilitating increased value addition and business efficiency. Nonetheless, challenges such as the digital divide and the need for increased digital literacy remain a concern. By optimally utilizing the potential of the digital ecosystem and addressing existing challenges, Indonesia can achieve sustainable, inclusive, and equitable economic growth through the strategic role of technology companies like GoTo.

Credit score evaluation for functional positions is a critical component in the career development of employees at the Financial Supervisory Agency (BPK) in Jakarta. However, this evaluation process often encounters challenges related to objectivity, consistency, and transparency due to the combination of qualitative and quantitative criteria. This study aims to apply the Analytical Hierarchy Process (AHP) as a decision support tool in the credit score assessment system. AHP is chosen for its ability to break down complex problems into a hierarchical structure and to assign priority weights through pairwise comparisons among criteria. This method is used to determine the priority weights of each evaluation component, including both main and supporting elements, leading to more structured and accountable decisions. The findings indicate that the implementation of AHP enhances the accuracy and objectivity of the credit score evaluation process for functional positions at BPK. Therefore, this approach can serve as the foundation for developing a more transparent and efficient technology-based assessment system.

In recent decades, the development of Islamic business has experienced significant progress, with an emphasis on sharia principles as the foundation of operations. In this context, Human Resource Management (HRM) plays a very strategic role in shaping Islamic work culture, improving employee performance, and ensuring compliance with sharia principles. This study aims to analyze the role of HRM in Islamic business.The results show that effective HRM in the context of Islamic business involves several aspects, such as recruitment and selection processes based on Islamic values, training that unites professional competence with spirituality, implementation of a fair and sharia-compliant compensation system, and performance management based on the principles of justice and trust. Although there are challenges, such as limited human resources who understand sharia principles, these challenges can be overcome through HR development strategies and an inclusive organizational culture. The findings of this study make an important contribution to the development of HRM policies and practices that are not only efficient, but also ethical and in accordance with Islamic teachings.

Real Work Lecture (KKN) is a form of student service to the community through empowerment programs. In KKN activities in Munggu Village, Sungai Selan District, Central Bangka Regency, the KKN team carried out the program "Seeding Chili Seeds in Polybags: Practical and Economical Cultivation" as a solution for the community to increase agricultural production in a simple and sustainable manner. This program aims to provide education and direct practice to residents about chili seed seeding techniques using polybags, which are more efficient in land use and cost. The methods used in this program include preparing tools and materials such as polybags and filling special soil into polybags for the chili seed seeding process until it is ready to be transferred to a larger area or managed in polybags. The results of this program will be shared with the people of Munggu village to increase public awareness about the importance of sustainable agriculture and food independence. With this program, it is hoped that the community can continue to develop chili cultivation independently. This program can also be a model for other regions that want to implement the cultivation of treasure crops practically and economically.

The rapid growth of e-commerce has driven companies to seek more effective strategies to enhance logistics efficiency and customer satisfaction. This article examines the synergy between artificial intelligence, strategic location determination, and digital marketing in supporting the performance of digital supply chains. This multidimensional approach demonstrates that integrating cutting-edge technologies with precise location strategies and data-driven marketing can create superior customer experiences and more efficient operational costs. This study is based on a literature review of ten recent related studies. Moreover, it highlights consumer behavior shifts due to the digitalization and globalization of supply chains.  

Nonlinear eigenvalue problems (NEPs) pose significant challenges in mathematical physics and other computational applications due to their nonlinear nature, which makes analytical solutions difficult to obtain. NEPs are encountered in various scientific and engineering fields, including signal processing, electronic structure calculations, and structural optimization. This study aims to explore the application of adaptive algorithms in solving nonlinear eigenvalue problems, with a primary focus on improving accuracy and computational efficiency. The proposed method combines an iterative solver with adaptive step-size adjustment, where the step size is dynamically adjusted during the iteration based on error estimates calculated at each step. This approach enables faster convergence and significant reductions in computational time without compromising accuracy. In experiments conducted on large-scale problems, the adaptive algorithm reduced computational time by 40% faster compared to fixed-step iterative methods. The comparison between the adaptive algorithm and traditional methods showed that the adaptive algorithm is not only more efficient but also more robust when dealing with high-complexity problems. Additionally, the adaptive algorithm provides more accurate error estimates, allowing better error control throughout the iteration process. Overall, this study concludes that adaptive algorithms offer a more effective and efficient solution for complex nonlinear eigenvalue problems and can be adapted to various types of problems in scientific and engineering applications. Further research could focus on optimizing the implementation of this algorithm for larger and more complex scales.