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This paper presents an optimization approach for a hybrid photovoltaic (PV)-wind-battery energy system tailored for remote areas in Indonesia. Due to the archipelagic nature of the country, many remote areas lack access to the national power grid, making renewable energy solutions crucial. This study utilizes a genetic algorithm to optimize system configurations, balancing energy production, storage requirements, and cost efficiency. Results indicate that the proposed hybrid system can meet local demand with high reliability and at lower costs compared to diesel generators. The study also addresses environmental and social impacts, proposing sustainable energy strategies for Indonesia's underserved regions.

Urban traffic congestion is a growing problem in Indonesian cities, affecting economic productivity and quality of life. This research explores the development of a smart traffic management system utilizing Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms to analyze traffic patterns and optimize flow. The proposed system collects real-time data and uses predictive analytics to adjust traffic signals dynamically. Field tests in Jakarta demonstrate a 15% improvement in traffic flow and reduced travel times during peak hours. The findings suggest significant potential for scalable smart city solutions in urban traffic management across Indonesia.

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

Abstract.  The purpose of this research is to identify the difficulties experienced by students in understanding the concepts, principles, and procedures in problems related to the material of lines and angles. This research is a qualitative study with a descriptive method. The subjects of this study were students of class VIII-1 at SMP Negeri 29 Medan. Data collection techniques included tests, interviews, and documentation. All students of class VIII-1 took a test on the understanding of concepts, principles, and procedures. Afterward, the test results were analyzed and categorized into three groups: high, medium, and low ability. Subsequently, two students from each ability group were selected as interview subjects. The results of this research indicate that the most common conceptual difficulty experienced by students is classifying objects according to their concepts in determining the type of angle according to its measurement. The most common principle difficulty experienced by students is connecting mathematical concepts in solving problems in the material of the relationship between angles formed by two parallel lines intersected by a transversal line. Meanwhile, the procedural difficulty experienced by students is that all students still make mistakes in explaining, planning, and applying the correct steps or algorithms in mathematical problems, both in the material of the relationship between lines, determining angles, and the relationship between angles formed by two parallel lines intersected by a transversal.  

In facing the increasing awareness of environmental impact, electric vehicles have become a primary focus in the global automotive industry. With the advancement of technology and the growing need for eco-friendly solutions, the evaluation of public sentiment towards electric vehicles becomes highly relevant. This research aims to analyze opinions expressed on Twitter regarding the use of electric vehicles using the Long Short Term Memory (LSTM) classification method. Utilizing a dataset of 30,000 entries, this study applies the LSTM algorithm to classify sentiment in tweets. Four different scenarios are tested, involving combinations of Continuous Bag of Words (CBOW) and Skip-Gram feature extraction methods, as well as data split percentages of 80:20 and 70:30. The research results demonstrate high accuracy levels across all scenarios, ranging from 85.16% to 85.9%. These findings indicate the effectiveness of sentiment analysis in gauging public perspectives on the use of electric vehicles. This study makes a significant contribution to understanding public sentiment related to electric vehicles based on Twitter data while highlighting the application of sentiment analysis techniques in the context of electric vehicle usage.

This study aims to determine the mapping of research around optimal portfolios in wealth management on stock investment with a mix-method approach, namely VOSviewer bibliometric studies and literature reviews. “Data analysis techniques include: (1) mapping the number of journal publications spread around the Optimal Portfolio using Microsoft Excel and Mendeley Desktop by year of publication; (2) mapping the results of bibliometric network visualization and journal publication trends around the Optimal Portfolio using VOSviewer (Visualization of Similarities) algorithm software based on the number of clusters and their items; and (3) map research topics around the Optimal Portfolio using literature studies. The results showed that: (1) based on mapping the number of journal publications, there were 500 journal publications around the optimal portfolio; (2) based on the mapping of VOSviewer bibliometric studies The results of network visualization around the optimal portfolio are divided into 6 clusters and 163 topic items; (3) Based on the mapping of literature review studies, there are 2 topics around optimal portfolios that often appear first optimal and second stocks. The implication and contribution of this study is to map research topics around optimal portfolios in stock investments that are often or rarely researched by researchers, so that they can be a reference for researchers afterwards”.

Thel purposel of thils relselarch ils to ilmprovel thel elffilcilelncy of solvilng trilgonomeltrilc problelms by applyilng programmilng algorilthms iln Maplel softwarel. Iln thel contelxt of trilgonomeltry, you willl elncountelr complelx problelms such as workilng wilth trilgonomeltrilc functilons, solvilng trilgonomeltrilc elquatilons, and othelr trilgonomeltrilc analysils. Pelrformilng trilgonomeltrilc calculatilons iln Maplel softwarel usels an algorilthmilc programmilng approach to crelatel fastelr and morel accuratel solutilons. Thils melthod ilnvolvels delsilgnilng algorilthms that arel useld to handlel varilous trilgonomeltrilc casels. Elxpelrilmelnts welrel conducteld to melasurel thel elxelcutilon speleld and accuracy of thel relsultilng solutilons. Thel relsults show that thel applilcatilon of algorilthmilc programmilng to Maplel softwarel silgnilfilcantly spelelds up thel solutilon of trilgonomeltrilc problelms whillel mailntailnilng a hilgh lelvell of accuracy.    

With the rapid development of information technology, Tiktokshop has become an increasingly popular e-commerce platform in Indonesia. However, selling on Tiktokshop does not always guarantee success, especially for small and medium enterprises (MSMEs) that focus on selling special products such as CustomKids. This research aims to determine the impact of Tiktokshop's inactivity on sales of MSMEs, especially the custom children's industry in Indonesia. This research analyzes various factors that might influence Tiktokshop's inactivity, such as lack of presence, lack of user interaction and algorithm changes. We also assessed the direct impact of the suspension on sales of CustomKids products, taking into account variables such as decreased sales, decreased market share, and the psychological impact on MSME owners. The results of this research will provide insight to MSME owners, the government and stakeholders to help them develop strategies to advance Tiktokshop activities and increase the competitiveness of MSMEs, with a special focus on CustomKids products. It is hoped that the implications of this research finding will help in decision making to improve the performance of MSMEs in the digital era.

Blockchain platforms propagate into every facet, including managing medical services with professional and patient-centered applications. With its sensitive nature, record privacy has become imminent with medical services for patient diagnosis and treatments. The nature of medical records has continued to necessitate their availability, reachability, accessibility, security, mobility, and confidentiality. Challenges to these include authorized transfer of patient records on referral, security across platforms, content diversity, platform interoperability, etc. These, are today – demystified with blockchain-based apps, which proffers platform/application services to achieve data features associated with the nature of the records. We use a permissioned-blockchain for healthcare record management. Our choice of permission mode with a hyper-fabric ledger that uses a world-state on a peer-to-peer chain – is that its smart contracts do not require a complex algorithm to yield controlled transparency for users. Its actors include patients, practitioners, and health-related officers as users to create, retrieve, and store patient medical records and aid interoperability. With a population of 500, the system yields a transaction (query and https) response time of 0.56 seconds and 0.42 seconds, respectively. To cater to platform scalability and accessibility, the system yielded 0.78 seconds and 063 seconds, respectively, for 2500 users.

Over time, the progress of science, technology and information is growing very rapidly. One of the things related to this problem is that the children of the nation must now master and study the developing science and technology. Utilizing science technology is now very important. The computer is one example of a technological tool that can be used. Regarding computers, we must first study in detail about programming algorithms that have applications and functions for us in education and everyday life. The purpose  of writing this article is to examine the application and function of programming algorithms. Then the writing of this article use the literature study method and library research, namely by studying systematically and structured about programming algorithms. Data collection is done by online books or offline books, reputable scientific journals and sources from Google Scholar, Digital Library, website research and so on. The result of writing this article is that the application or presentation of programming algorithms can be seen in examples of application in mathematics. Writing an algorithm is not bound by a certain rule, but it must be clear what it means for each step of the algorithm. Many functions are very important in programming algorithms. The main function of programming algorithms is to solve a problem. This algorithm is an important thing in the activity of making a program.

Algorithms and programming play a crucial role in problem solving and software development. The origin of the word "algorithm" comes from "algorism," and its history can be traced to Abu Ja'far Muhammad Ibn Musa Al-khuwarizmi. This article presents definitions of algorithms from several sources, such as Kani (2020), Jando &; Nani (2018), Munir & Lidya (2016), and Sismoro (2005). The programming algorithm, as a series of logical and systematic steps, becomes the core in Troubleshooting. The research method applied is descriptive and qualitative, by collecting information from various sources, including books, journal articles, and research reports. The discussion in this article covers the significance of algorithms in everyday life and their application in computer programming. In addition, this article details the basic concepts of algorithms, the role of programming languages, and algorithm representation techniques. In the discussion section, it was revealed that algorithms involve logical and systematic steps to solve a task or problem. The basic structure of the algorithm includes repetition, branching, and sequential order. Programming languages contribute to simplifying human interaction with computers, increasing productivity, as well as facilitating software maintenance and development. Algorithms can be represented in the form of descriptive sentences, pseudocode, or flowcharts. Flowcharts use symbols to illustrate the steps of solving a problem. Repetition, branching, and sequential structures can be clearly described through flowcharts. This article provides a comprehensive overview of algorithms and programming, giving readers insight into the basic concepts, implementation, and importance of algorithms in the context of computer programming.

Algorithms and programming play a crucial role in problem solving and software development. The origin of the word "algorithm" comes from "algorism," and its history can be traced to Abu Ja'far Muhammad Ibn Musa Al-khuwarizmi. This article presents definitions of algorithms from several sources, such as Kani (2020), Jando &; Nani (2018), Munir & Lidya (2016), and Sismoro (2005). The programming algorithm, as a series of logical and systematic steps, becomes the core in Troubleshooting. The research method applied is descriptive and qualitative, by collecting information from various sources, including books, journal articles, and research reports. The discussion in this article covers the significance of algorithms in everyday life and their application in computer programming. In addition, this article details the basic concepts of algorithms, the role of programming languages, and algorithm representation techniques. In the discussion section, it was revealed that algorithms involve logical and systematic steps to solve a task or problem. The basic structure of the algorithm includes repetition, branching, and sequential order. Programming languages contribute to simplifying human interaction with computers, increasing productivity, as well as facilitating software maintenance and development. Algorithms can be represented in the form of descriptive sentences, pseudocode, or flowcharts. Flowcharts use symbols to illustrate the steps of solving a problem. Repetition, branching, and sequential structures can be clearly described through flowcharts. This article provides a comprehensive overview of algorithms and programming, giving readers insight into the basic concepts, implementation, and importance of algorithms in the context of computer programming.

Big data processing has become an important aspect of computer science and various industries in the digital age. Efficient and timely programming algorithms play a central role in addressing the challenges presented by big data. This journal focuses on various optimization methods and techniques that can be applied in the development of programming algorithms for processing big data. Supporting and relevant references are used to illustrate the concepts and techniques presented in this paper. Discussions include parallel methods, data compression, indexing, divide and conquer strategies, and greedy algorithm approaches. Case studies on the implementation of fast sorting algorithms in the context of big data processing are also presented. The understanding and application of these optimization methods are important in maximizing the efficiency and performance of programming algorithms in dealing with big data, and they play a key role in the development of relevant information technology solutions.  

This research focuses on the development of a web-based Computer Based Test (CBT) Application for Madrasah Tsanawiyah (MTs) Faqih Hasyim in Sidoarjo, East Java. This application aims to overcome conventional evaluation problems with paper and pen, such as cheating, scoring errors, and data management difficulties. Using web technologies such as HTML, CSS, PHP, and JavaScript, the application integrates the Fisher-Yates Shuffle algorithm to randomize the order of questions, reducing the possibility of cheating during the exam. Equipped with session tokens, exam timing, and result reports, the app improves the overall efficiency of the evaluation process. This study refers to previous research and highlights the importance of adopting technology to simplify assessment and facilitate online data management. The Fisher-Yates Shuffle algorithm, used to generate a unique sequence of questions for each student during the exam, minimizes the risk of cheating. The app implements a staged exam, ensuring students who meet the minimum criteria proceed to the next stage. In addition, the app achieves a degree of randomization of the exam content, eliminating patterns that may affect the exam results. The feasibility testing results show that the app is highly feasible, with a feasibility percentage of 92.4%. This conclusion signifies the app's success in achieving its development goals and making a positive contribution in easing the exam grading process. It is recommended to simplify the interface for senior users, improve the responsiveness of the website display for mobile access, and add a time limitation method in future research.   Keywords: Fisher-Yates Shuffle Algorithm, Computer Base Test, Question Randomization.  

In this study using the help of microsoft Excel 2013 as a medium to solve mathematical problems more easily and practically. This study also uses a programming algorithm with the help of microsoft Exel to sort certain data that analyzes a value and comparison with sorting procedures in the work of completing the Excel 2013 application programming algorithm in solving mathematical problems. The method used in this study uses a research and Development approach. From the research that has been done, it was concluded that Microsoft Excel 2013 can be used as an application that helps in solving math problems.

Fire is a disaster that cannot be predicted when it will occur and where it will occur, it's just that densely populated areas are areas that are vulnerable to the danger of fire. Fire disaster in Samarinda City. Data obtained from the Samarinda City Fire and Rescue Service are fire incidents from 2021 to 2023. In 2021 there were 230 fire incidents, in 2022 there were 209 fires, in 2023 there were 99 fires. so this city is one of the cities that experiences the most fires on the island of Kalimantan. Several supporting facilities and infrastructure owned by the Samarinda City Fire and Rescue Department, such as hydrants and fire extinguishing posts, have been increased in number. This research functions to group fire data per year using the k-means clustering algorithm.