Open Journal System Universitas Mohammad Husni Thamrin
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Inventory Information System Design at Kian Jaya Farma Pharmacy
No full textInformation systems are developing very rapidly which is a combination of information technology and the activities of people who use it to support operations and management. In this development there have been many recent advances to help carry out work. Inventory is a system that manages data on all inventory of goods related to logistics activities carried out by a business. Inventory is often also referred to as an inventory system. Meanwhile, inventory itself is more often used to refer to inventory data. Meanwhile, an inventory information system is a software system that will assist the inventory process by implementing strict inventory administration procedures, recording from incoming goods, storage, to outgoing goods. Efficient inventory management helps pharmacies control drug purchasing costs, monitor drug expiration dates and ensure they do not run out of stock of important items. This research aims to store data and information centrally in a database to record the supply of medicines needed by patients and avoid stock outs that can disrupt health services. This system was developed using the waterfall method with Visual Studio Code, PHP and PHP My Admin software, while for system testing using the black box method to determine its functionality. The results of the research show that the inventory information system can assist in managing drug supplies, calculating drug stock, as well as preparing drug sales reports for both input and output at the Kian Jaya Farma pharmacy
Development of a Web-Based Information System for Reporting Activities of DKI Jakarta DPRD Members
No full textImplementation of the activity reporting system for DKI Jakarta DPRD members is a system to facilitate the reporting of activities of DKI Jakarta DPRD members. The DKI Jakarta DPRD member activity reporting system has been widely used in companies with various technologies and systems. The author raised the problem with the DKI Jakarta DPRD Secretariat. There is no special program for storing data and making reports at the DKI Jakarta DPRD Secretariat. This activity is very important, increases efficiency, and determines its performance in terms of cost savings. Previously, data processing was carried out manually using Microsoft Excel and Word, by designing a computerized system using PHP and MySql applications, data on the activities of DKI Jakarta DPRD members had been stored in a database to simplify the process of daily activities. This research uses data collection methods by means of observation, interviews and literature study, namely by making direct observations on the objects under study and requesting the necessary data, as well as interviews or questions and answers with sources to complete the data and obtain the necessary information. The system designed is an information system for the activities of DKI Jakarta DPRD members which was created using PHP and MySQL. This system was created to be able to manage data on the activities of DKI Jakarta DPRD members and reports. The information system designed is expected to minimize the shortcomings of the system currently in use so that work activities are more effective, efficient and controlled
Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management
No full textEffective inventory management is a crucial element in company operations, especially in maintaining a balance between demand and supply. Good inventory management can reduce storage costs, increase product availability, and maximize company profits. However, the challenges that companies often face are the uncertainty of market demand and changes in trends that are difficult to predict. Along with technological developments, traditional methods of inventory management are starting to be replaced by data-based approaches and machine learning algorithms. The use of machine learning is not only limited to predicting purchasing needs, but can also be applied in various other business aspects. This research aims to optimize HP spare parts inventory management at Store X using the Long Short-Term Memory (LSTM) method. By analyzing sales data for 2023 which consists of 96,630 lines, the research applies systematic stages: data acquisition, preprocessing, exploratory data analysis, model building, and evaluation. The LSTM method is used to predict spare parts stock with significant accuracy, demonstrated through evaluation metrics: Mean Absolute Error (MAE) 12%, Mean Squared Error (MSE) 2%, and Root Mean Square Error (RMSE) 15%. The model successfully captured seasonal patterns and trends in sales data, proving its ability to forecast stock requirements. The research results show that the LSTM-based machine learning approach is effective in supporting inventory management decision making, helps reduce the risk of losses due to stock uncertainty, and increases the efficiency of managing HP spare parts inventory
Artificial Intelligence for Unstructured Data Processing
No full textIn the digital era, the volume of unstructured data such as text, images, audio, and video continues to increase exponentially. Processing unstructured data is a major challenge for various industries due to its high complexity and the difficulty of extracting relevant information. Artificial Intelligence (AI) has become an innovative solution in addressing this challenge through techniques such as Natural Language Processing (NLP), Computer Vision, and Machine Learning. This study aims to explore various AI methods used in processing unstructured data and examine their effectiveness in improving the efficiency and accuracy of data analysis. adopts a multidisciplinary approach that combines natural language processing (NLP), machine learning, and data analytics techniques to extract information from unstructured data, especially in the context of electronic medical records (EMR). This study will be conducted in several stages including data collection, data processing, model development, and evaluation of results. The results show that AI is not only able to automate the information extraction process but also improve the accuracy and speed of data analysis, which is very important in the context of decision making in the fields of healthcare, finance, and business. By using deep learning models and advanced algorithms, AI can identify patterns and relationships in complex data, thereby providing deeper insights for better decision making. The results of this study are expected to provide insight for developers and practitioners in optimizing the use of AI to manage unstructured data more effectively and efficiently
Implementation of Dijkstra's Algorithm for Nearest Location Search on Fire Extinguishing Robot
No full textToday's technological knowledge has experienced a lot of progress, including in robotic technology. Of course, this field is becoming more interesting to study, seeing its increasingly widespread use in various aspects of human life that are increasingly automated. Real-life automation in machine representation is a value in itself from the implementation of a robot. Along with the development of the era, the world of information technology is currently developing very rapidly. In line with the rapid development of information technology, the need for time efficiency is a very important issue today. One of them is finding the shortest path from the original location to the destination location. In achieving optimal time efficiency, good management is needed by applying directed concepts and increasingly modern and sophisticated technology. Information media is very much needed in a computerized way to make it easier for fire extinguishing robots to find the location of fire points. The use of the Dijkstra Algorithm in the Nearest Route Search Application was chosen to be applied to the fire extinguishing robot application, to solve problems step by step in finding the nearest route. The theory used in this study uses Graph theory, Dijkstra's Algorithm. The purpose of this study is to find out how fire extinguishing robots find the shortest route and how the Dijkstra algorithm method can be used to find the location of the fire source with the shortest route
Development of the Multi-Level Approval Feature in the SIMASTER Leave Application Module for Bungo Regency
No full textEffective and efficient personnel administration services are an urgent need for government agencies to improve the quality of governance of the State Civil Apparatus. The Bungo Regency Government has developed an integrated system for all Regional Apparatus Organizations (OPD) called the Integrated ASN Management Information System (SIMASTER). One of the important services in SIMASTER is leave applications, which currently rely on a single level of approval, namely by the OPD admin. This mechanism is deemed not to fully reflect the government bureaucratic structure and has the potential to reduce accountability in the leave application process. Therefore, development is needed to implement a tiered approval feature in accordance with the flow of leave applications based on established rules. This study aims to design and implement a tiered approval feature in the leave application module in the Bungo Regency Integrated ASN Management Information System (SIMASTER). This development is expected to make the leave application process more transparent, structured, and accountable. The system development method used in this study was a prototype method. Testing was conducted using black box testing with the equivalence partitioning technique. The results showed that the developed system performed well, as measured by the trial phase using the black box testing method. A recommendation is to add a notification feature so that all processes can be immediately communicated to relevant parties
No-Code Technology in Designing a Web-Based Stock Recording Applications Using AppSheet
No full textThe development of information and communication technology in the digital era has brought significant changes to various sectors, including trade and distribution. The use of technology allows businesses to improve operational efficiency, accelerate workflows, and support more accurate decision-making. Digital transformation also helps minimize errors and maintain service quality. Manual inventory recording at the Dermaga Baut Mandiri Store in Tangerang causes difficulties in monitoring inventory availability, a high risk of data errors, and delays in reporting, which impacts operational and service continuity. This study aims to design and implement a web-based inventory recording application using AppSheet as a no-code solution to improve accuracy, efficiency, and ease of inventory management. The method used is a prototype method with stages of communication, rapid planning, initial design, prototype creation, and testing and feedback. Data were collected through observations and interviews with store owners and staff, then analyzed descriptively and qualitatively. The results show that the developed application is able to accelerate the recording process, display minimum stock notifications, and generate real-time stock reports that are easy to print in PDF format. Users found the app easy to use, helpful in inventory monitoring, and faster decision-making. The app, designed using no-code technology for operational digitization, is expected to improve competitiveness and customer service quality
Web-Based Intern Admission System At The ATR / BPN Office Of Medan City Using Weighted Product Method
No full textThis study designs a web-based internship registration and selection system for the Office of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN) of Medan City, located on Jl. STM, Sitirejo II, Medan Amplas. The system was developed using PHP Native and MySQL, and it is designed to be responsive, allowing access via both desktop and mobile devices. The main goal is to replace the konvensional selection process, which still relies on physical documents and often results in file accumulation, delays, and non-objective evaluations.The primary issue addressed in this research is how to build an internship selection system that is automated, efficient, and objective. To achieve this, the Weighted Product (WP) method was implemented as a decision support system. This method calculates the final score of applicants based on weighted values from three main criteria: GPA, academic program, and completeness of the CV.Key features of the system include: online registration forms, document uploads, automated scoring using the WP method, real-time application status tracking, and an admin dashboard to manage participant data and selection results. The system model is illustrated through a Use Case Diagram, Activity Diagram, and Flowmap to demonstrate user interactions and process flow comprehensively.Research Results Based on the WP method applied to 150 applicants, the normalized Vi values were used to rank participants for each internship position. A total of 27 top-ranking participants were selected to fill 9 positions. For example, Samsul Yolanda (Section 1), Nasrullah Tamba (Section 2), and R.M. Simon Winarno (General Sub-Administration). Applicants ranked 2nd and 3rd for each position may be considered as substitutes if quotas allow. These results demonstrate that the selection process is now more objective, transparent, and competency-based
Development of A Web-Based Integrated Daycare Child Care Application at The Ministry of Foreign Affairs
No full textDaycare is a child care center (TPA) or childcare facility that is carried out in groups, usually held during regular working hours. Many parents are busy working outside the home, for parents who already have children will need help in caring for their children. Childcare Centers (TPA) become a means to replace family during periods when parents are working or other needs. Based on the questionnaire data obtained, it is known that parents have difficulty in finding childcare centers and information. Childcare centers are one form of early childhood education, where children will be cared for, looked after, and educated. However, the lack of information regarding Childcare Centers (TPA), many parents bring their children to their workplaces. These childcare centers are intended for parents who are busy working and have difficulty caring for their children. This study aims to build a Web-based application that can help parents in finding information about childcare centers. The design method used is the prototype method. This Web-based system and was tested using the Black Box testing method. The results of this study indicate that this system can help parents and childcare centers, and this system works according to the expected functions
YOLOv12 for Human Object Detection in Real-time Video Surveillance Systems
No full textThis research discusses the application of the YOLO (You Only Look Once) model to detect human objects in real-time video surveillance systems. This model was developed in response to the increasing need for efficiency and accuracy in video surveillance analysis, particularly in identifying abnormal or malicious activities. The application of deep learning technology, especially the YOLO model, has been shown to provide better performance in object recognition compared to traditional methods, such as SVM and Haar-Cascade, which often experience limitations in terms of speed and accuracy. One significant contribution of the use of YOLO lies in its ability to detect objects simultaneously in high-speed video, which is crucial in surveillance contexts that require rapid response to incidents. The implementation of YOLO also promises better collaboration between edge and cloud computing, allowing video processing to be carried out closer to the data source, reducing latency and improving data security. With this approach, the system can generate relevant information for rapid decision-making, such as monitoring human behavior in public settings and detecting suspicious activity. The analysis of this study highlights the significant potential of YOLO in improving real-time video surveillance systems and demonstrates that more accurate object detection capabilities can improve overall public safety. Through this model, we hope to revolutionize surveillance practices, adapt to modern needs, and provide a solid foundation for further development in the field of video surveillance