Publication Search

Technological advancements have significantly contributed to the robotics industry, yet mobility remains a challenge that can be addressed with mobile robots. In education, it is crucial to understand the basic principles of robotics and the use of related software and hardware. This research focuses on using a 4WD mobile robot as a learning tool. This robot offers flexibility and is easily controlled via a smartphone with built-in sensors. A smartphone application was developed using App Inventor, an open-source web-based development platform. The HC-05 Bluetooth module was used to connect the smartphone application with the 4WD robot. The goal of this research is to design innovative learning media to aid in understanding the concepts and control of the 4WD robot, as well as to increase students' interest and motivation in learning robotic systems. The results of the research demonstrated success in creating a 4WD robot prototype controllable via an Android smartphone. The distance between the Arduino and smartphone did not significantly affect the robot's movement, although communication was disrupted if the distance exceeded 10 meters. Directional control was achieved through the rotation of the right and left wheels, and sufficient power supply was needed to drive all wheels. Programming with C/C++ and Bluetooth communication functioned as planned. This innovative learning media is expected to help students understand and operate the 4WD mobile robot more effectively

The use of technology is one solution in helping problems in various circles, both in the world of education and in companies. One of them is the application of an accounting information system to enter, process or report a company's accounting. This application can produce data processing quickly and accurately. This will of course save time and also reduce errors that occur when work is done manually. Like cooperatives, cooperatives must use an accounting information system so that work can be done quickly and accurately. PGRI Kosera's activities in Central Java are in the savings and loans sector. The savings and loan recording process at Kosera PGRI Central Java is not very effective, and because the recording process is repetitive, there is still too much risk of inaccurate and quick misinformation to be reported using Ms. Excel still requires previous data processing from bookkeeping, both deposits, loans and installments, resulting in delays in submitting reports to management. Therefore, in a computerized system that can process membership data, journals, savings transactions, loans and installments, reports made by the Kosera Pgri Cooperative will be valid in programming languages, especially in calculating installment interest costs and financial reports. From the results of the program created, data entry errors and interest calculation errors can be reduced, financial reports can be produced more quickly, and effective and efficient achievements can be achieved.

The use of technology is one solution in helping problems in various circles, both in the world of education and in companies. One of them is the application of an accounting information system to enter, process or report a company's accounting. This application can produce data processing quickly and accurately. This will of course save time and also reduce errors that occur when work is done manually. Like cooperatives, cooperatives must use an accounting information system so that work can be done quickly and accurately. PGRI Kosera's activities in Central Java are in the savings and loans sector. The savings and loan recording process at Kosera PGRI Central Java is not very effective, and because the recording process is repetitive, there is still too much risk of inaccurate and quick misinformation to be reported using Ms. Excel still requires previous data processing from bookkeeping, both deposits, loans and installments, resulting in delays in submitting reports to management. Therefore, in a computerized system that can process membership data, journals, savings transactions, loans and installments, reports made by the Kosera Pgri Cooperative will be valid in programming languages, especially in calculating installment interest costs and financial reports. From the results of the program created, data entry errors and interest calculation errors can be reduced, financial reports can be produced more quickly, and effective and efficient achievements can be achieved.

This study was conducted at SD Muhammadiyah Sei Cabang, a private school in Langkat Regency, which still uses manual examination methods with identical questions for all students. This method is considered ineffective because it allows students to cheat, leading to exam results that do not accurately reflect their abilities. To address this issue, the study developed a web-based examination system using the Linear Congruent Method (LCM) to generate randomized question numbers. With LCM, each student receives a different set of question numbers, making the exam process more effective and fair. The system was built using PHP programming language and MySQL database, enabling efficient data storage and processing. The implementation of this system resulted in improved accuracy in assessment and reduced cheating potential during exams at the school.

The Binjai District Court is a government agency that has the duty and authority to receive, examine and decide every case registered at the Binjai District Court. The Binjai District Court handles many gambling cases, but data management is still not fast and accurate because it still uses manual methods, so the agency needs to implement an application system. To solve this problem, you can use data mining applications, namely by utilizing existing data to dig up new information. One of the techniques in data mining is clustering. Clustering was chosen because it can group data according to the desired characteristics, in this research it means grouping gambling data in the Binjai City area. The clustering algorithm used is K-Means Clustering integrated into a desktop-based programming application. The conclusion obtained is that the system designed has proven successful in grouping gambling data into 3 clusters (groups). The process using MATLAB R2014a obtained results in group 1 which amounted to 276 data with a data centroid center (6.92; 2.41; 4.33) including the category of low levels of gambling, group 2 which amounted to 337 data with a data centroid center (7.56 ; 2.10; 14.48) is included in the category of moderate level of gambling and group 3 which amounts to 387 data with the centroid data (7.56; 2.10; 28.02) is included in the category of high level of gambling.    

In everyday life, three-dimensional shapes are ubiquitous, manifesting in structures such as houses, bottles, and vehicles. These shapes, characterized by length, width, and height, represent the application of functions of two variables, particularly within spatial domains. This research employs Python programming to model functions of two variables, specifically focusing on spatial surfaces. Leveraging the Matplotlib module, graphical representations of these functions are generated, while the NumPy module facilitates mathematical analyses, including identifying extremal values, critical points, and tangent lines. Results demonstrate the efficacy of Python in efficiently modeling functions of two variables. Through this approach, readers gain insights into the inherent characteristics and behaviors of such functions within spatial contexts, thereby simplifying mathematical analyses and enhancing comprehension.

This research aims to develop and apply a Convolutional Neural Network (CNN) algorithm to detect handwritten Roman numerals. Handwriting recognition is a classic challenge in the fields of image processing and machine learning, especially for less common characters such as Roman numerals. In this research, we use data augmentation techniques to increase the diversity and number of datasets used in model training, which is expected to increase model accuracy and generalization. The dataset used consists of 1,120 images for testing and 280 images for validation, each of which is divided into 14 classes of Roman numerals I, II, III, IV, V, VI, VII, VIII, IX, X, L, C, D , and M. Image data was created directly using simple software, namely Paint version 6.3. This research uses the Python programming language and Google Colab as a computing platform. Model training was carried out for 300 epochs and showed significant accuracy in the 150th to 300th iteration. The results at the 300th epoch show an accuracy of 0.9607 and a loss of 0.1162. The implementation of this algorithm shows significant potential in practical applications, such as in the fields of education and historical documentation. The conclusion of this research is that data augmentation is an effective technique to improve the performance of CNN models in detecting handwritten Roman numerals.

This research proposes the use of a decision support system based on the Profile Matching method to determine the thesis supervisor. This method is effective in making decisions that are in accordance with the concentration of the thesis title, functional position, and educational level of the lecturer. This research refers to the concept of a decision support system that offers several alternative choices to assist management in making decisions efficiently. The Profile Matching method is carried out with the stages of variable weighting, factor grouping, and total value calculation. This research also refers to related studies that have been conducted previously to build a more effective and efficient system in determining supervisors. The research method used is Research and Development with a waterfall System Development Life Cycle (SDLC) model. The results showed that the use of a decision support system with the Profile Matching method can provide recommendations for supervisors in accordance with the criteria set. Product testing using Aiken's V and ISO/IEC 25010 standards also shows that this system is feasible to use with good validity values and quality that meets standards. In conclusion, the decision support system with the Profile Matching method can help speed up and improve efficiency in determining thesis supervisors in the PTIK study program at UIN Sjech M.Djamil Djambek Bukittinggi. Suggestions for further development are to consider integration with web technology for ease of access and use.

This research is entitled "Design and Build a Kaizen Information Management System in the HR Division of PT. XYZ Bekasi". The purpose of this research is to find out how the Kaizen Information Management System in the HR Division and the obstacles faced, as well as provide solutions to problems or obstacles in the system. From the results of the observations made, it can be concluded that the management of Kaizen data at PT. XYZ still uses the manual system. Of course, this causes several problems such as: Staff or Operators need a lot of time to approve the Kaizen form, difficulty reading the writing written on the form, and the form storage method is not neat and structured so that it is difficult in terms of management and reporting of the ongoing Kaizen program. The research methods used are Library Research and Field Research. There are three Actors/Users in this system, namely Staff/Operator, Manager and HR. Staff/Operator can only access the form management page, Managers can access to approve the form page, while HR can access all form management pages, make approvals, manage the theme of managing departments, manage accounts, manage reports and manage consultation schedules. The programming language used to create the Kaizen management system is PHP version 7 with the CodeIgniter framework with MySQL version 8. With the existence of the Kaizen Management Information System in the HR Division, it is hoped that it can simplify and accelerate the Kaizen management process.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

In the 4.0 era, the machines in the company are very sophisticated, for example, CNC Plasma Cutting machines that use an automatic system run using a computer that is sufficiently given a command. Because of that, maintenance and repair will require a large fee if we can see the level of availability, it is likely to overcome future problems. The method used in this research is a literature study or literature study in scientific journals. The availability of the machine affects the production process, if it does not reach 90% then the machine is not well prevented, this effect affects the damage to the machine, if it is below that means the machine is often damaged. additional personnel and training on the equipment team, especially experts in the field of programming, because then the company does not need to contact the dutch directly to fix problems in the program. Periodic preventive maintenance is carried out to prevent damage to a machine.

Kodular is a visual application development platform that allows developers to design, create, and publish Android applications without the need for in-depth programming knowledge. It has a number of features that make it an attractive choice for application development projects, especially for beginners and developers who do not have a strong programming background. (www.kodular.com) Airtable is an online database platform that allows users to create databases that are easy to access and manage. It combines the advantages of traditional databases with the freezing and ease of use of spreadsheets. Airtable can be used in a variety of contexts, including business data management, collaborative projects, and application development. (www.airtable.com)    

Computational Thinking skills are students' ability to use mathematical concepts to solve problems systematically using algorithms and programming. This research aims to measure the development of Computational Thinking skills of students at SMA N 3 Medan on algebraic function limits material. The research method used is survey research with data collection using tests and observations. The subjects of this research were class XI students from SMA N 3 Medan who were studying algebraic function limits. The research results show that there is significant development in students' Computational Thinking skills after studying the material. The implication of this research is the need for a learning approach that focuses more on developing Computational Thinking skills in mathematics learning in high school.

MSIB (Certified Independent Study and Internship) is one of the activity programs at the Merdeka Campus which aims to help students improve their skills and develop themselves. MSIB appointed Orbit Future Academy as one of the partners in the Independent Study program. Founded in 2016 with the aim of improving the quality of life through innovation, education and skills training. In accordance with its mission, namely "We curate and localize international programs and courses for upskilling, re-skilling youth, and the workforce towards jobs of the future". Partners provide opportunities for students to take Artificial Intelligence programs and study online. Learning consists of eight material courses including Python Programming, AI Technology Logic and Concepts, AI Project Cycle, AI Research Methods, ChatGPT, Professional and Company Ethics, Financial Literacy and ending with a Final Project. The final project scope carried out is the Occupancy Detection in Parking Lot project. This project uses the Computer Vision domain with the selection of the YOLO model in detecting objects and pixel segmentation. The project begins with selecting a dataset using roboflow which then goes through data pre-processing for cloning, annotation and augmentation. Then the model is trained using machine learning and deep learning algorithms to understand patterns and characteristics related to parking spaces. Once trained, the AI model will be validated using test data. This aims to ensure that the model truly recognizes the presence of the vehicle. Next, form the application design in creating an informative interface using wireframes. Then enter the deployment stage so that the system can be accessed widely and easily via the web. Lastly, field testing is to find out the performance of the application that has been designed.      

PT XYZ, a building construction and design company in Palembang. The number of employees in this company is 30 employees with project, finance, marketing and also human resources (HR) divisions. PT XYZ has a need to improve the efficiency of human resource management. In the current condition, the company still relies on manual processes for recruitment, attendance, layoff data management, and employee leave applications. This Personnel Information System uses the Rational Unified Process (RUP) method as a system development method. System development uses the Laravel framework, PHP, CSS, HTML programming languages. In the analysis stage using PIECES and Usecase Diagram. System development uses two main approaches, namely using the FlutterFlow low-code platform and the Laravel Framework. The final result obtained is the implementation of a web-based Personnel Information System at PT XYZ. The implementation of this system makes a significant contribution in improving the efficiency and accessibility of staffing data at PT XYZ.

This research aims to determine the implementation of internal control in minimizing bad debts at BPR Sejahtera Artha Sembada Brangsong. The information system used is not yet effective. There is no customer data regarding late payment of receivables. The aim of this research is design. Accounting Information System for Internal Control of Receivables at BPR Sejahtera Artha Sembada Brangsong, with the benefit of making it easier for employees to check customer arrears who have not paid receivables in order to maximize collections. In accordance with the research objectives, this research was carried out using the aging of accounts receivable method and creating a web-based Information System using the PHP and MySQL programming languages.

This activity aims to explore the use of Google Colaboratory as a basic introduction tool to Python programming. The research methodology involves analyzing the features of Google Colaboratory, implementing basic Python code, and observing user experiences. Research findings indicate that Google Colaboratory provides high accessibility without the need for additional installation or configuration requirements, enabling users to quickly initiate Python programming. Furthermore, the platform offers sharing and online collaboration capabilities and provides computational resources suitable for intensive data processing tasks. The implications of this research suggest that Google Colaboratory can be an effective solution in supporting Python programming learning, especially for beginners. With a user-friendly interface and easy access, this platform has the potential to facilitate the development of programming skills for a broader audience.

Learning using media based on the Canva application has the advantage that the learning material is made more interesting. As support for direct learning, the use of the Canva application which has a variety of saved file formats, according to Rahmatullahet al (2020), the use of Canva-based audio visual learning media can improve students' informatics learning outcomes. There are also research results from Vivi et al (2021) which state that using the Canva application can help students fulfill online learning assignments at school. According to Yanti in Assidiqi (2020), learning using Canva-based learning media can help students understand learning even though they are at home because there are obstacles in the form of not having textbooks. This is known from the lack of student data recapitulation of the low learning outcomes of students who reach the KKM, namely 14 students out of a total of 38 students in class X.9

This research focuses on optimizing the profits of  UMKM production of banana chips using the simplex linear programming method and the help of POM-QM software. This research aims to find out ways to use profit optimization methods in banana chips MSMEs so that they can find out maximum profits, production costs, income and raw materials used. The method used is a qualitative descriptive method, where the data obtained is more descriptive in nature from the results of interviews and observations that have been carried out and then the data will be analyzed qualitatively. Data collection techniques in this research include the use of primary data and secondary data. Primary data is obtained through observation, interviews, or distribution of questionnaires to relevant sources. Meanwhile, secondary data was obtained through literature searches from books and magazines that were relevant to the research topic. The analysis technique used is linear programming using the simplex method. The research results and discussion show that this function has reached optimal conditions. Therefore, the calculation stops once all the values in the objective function become positive. The result of this solution is the variable value x1 = 6 ; x2 = 2 ; x3 = 0 dan x4 = 0. Increase in profit from the initial value of Rp. 675,000 to reach a maximum profit (Zmaks) of Rp. 900,000, then the difference between profits before and after optimization is IDR. 225,000, and with the help of POM-QM for Windows software calculations become more relevant because this tool helps in completing calculations to achieve maximum profit levels quickly, accurately and efficiently.

household industry or usually known quantity when UMKM  is an arising chance. Rephrase. This happens because there are very few job break. However, some UMKMs still have adversity determining the optimal  production abundance broad- based on accessible expedient, so  these troop cannot amplify. One of them is Bu Ida fruit juice, which consistently produces fruit juice according to crowd-pleasing orders of average consumer credit. admittedly utilize capital and basic materials enough, Ms. Ida's business is growing day by day. From this research, problems were distinguish and answer live needed, comprehend the employment of linear programming to determine the  sales abundance that absence to be optimized to attain maximum earnings from juice sales Ida's fruit. There are 6 (six) juices and 6 (six) ingredients. In this study, a simple method linear programming algorithm is applied to obtain an optimization model to maximize the  juice production quantity and obtain optimal profits. The POM-QM Windows application provides fast, accurate and precise  calculation results.