Object-oriented Analysis Method Research Articles

Application Of Vat Calculations, PPh Article 22, and PPh Article 23 On the Procurement of Goods/Services

The Lagadar Village Office still uses a manual approach to calculate taxes on acquiring goods and services. This condition involves using a calculator and recording the calculations in a notebook. Consequently, the Treasurer frequently made errors while performing computations, whether misclassifying the tax type or inaccurately incorporating the tax rate. Moreover, the requirement to input tax computation data again before printing creates a challenge for the Treasurer in locating the necessary information in the notebook for monthly reporting to the leadership. Hence, there is a requirement for a system that can simplify the Treasurer's task of calculating and summarizing the tax data. This project aims to develop apps that can accurately compute value-added tax, income tax 22, and income tax 23 for the acquisition of goods and services. The employed research methodology is the descriptive research method. The system development method employed is the Object-Oriented Analysis and Design (OOAD) model system development method. The system design employs a web programming language integrated with the Codeigniter framework, utilizes a MySQL database, and employs the Visual Studio Code text editor for development purposes. A research study has led to developing an application at the Lagadar Village Office. This application, designed to calculate Value Added Tax, Article 22 Income Tax, and Article 23 Income Tax for procuring goods and services, is a significant step towards more efficient tax calculations. Its purpose is to assist the Treasurer in efficiently calculating, collecting, recording, and reporting tax calculation data, ensuring accurate and organized records in the system. Research-based recommendations for further development of the application include the creation of an application landing page that provides information on taxation. This will enable application users to stay updated on the latest government regulations pertaining to taxation, particularly for Village Offices. This application not only simplifies the Treasurer's tasks but also ensures accurate and up-to-date tax calculations, instilling a sense of optimism for the future of tax management at the Lagadar Village Office.

Waterlogged Area Identification Models Based on Object-Oriented Image Analysis and Deep Learning Methods in Sloping Croplands of Northeast China

Drainage difficulties in the waterlogged areas of sloping cropland not only impede crop development but also facilitate the formation of erosion gullies, resulting in significant soil and water loss. Investigating the distribution of these waterlogged areas is crucial for comprehending the erosion patterns of sloping cropland and preserving black soil resource. In this study, we built varied models based on two stages (one using only deep learning methods and the other combining object-based image analysis (OBIA) with deep learning methods) to identify waterlogged areas using high-resolution remote sensing data. The results showed that the five deep learning models using original remote sensing imagery achieved precision rates varying from 54.6% to 60.9%. Among these models, the DeepLabV3+-Xception model achieved the highest accuracy, as indicated by an F1-score of 53.4%. The identified imagery demonstrated a significant distinction in the two categories of waterlogged areas: sloping cropland erosion zones and erosion risk areas. The former had obvious borders and fewer misclassifications, exceeding the latter in terms of identification accuracy. Furthermore, the accuracy of the deep learning models was significantly improved when combined with object-oriented image analysis. The DeepLabV3+-MobileNetV2 model achieved the maximum accuracy, with an F1-score of 59%, which was 6% higher than that of the model using only original imagery. Moreover, this advancement mitigated issues related to boundary blurriness and image noise in the identification process. These results will provide scientific assistance in managing and reducing the impact in these places.

Application of the Object Oriented Analysis Method and Design Web Profile at MA Darussalam Pangkal Pinang

Web profile is one of the effective media for disseminating information in introducing the institution to the wider community. This is what is used by many government and private agencies, one of which is an educational institution or school. MA (Madrasah Aliyah) Darussalam Pangkalpinang is one of the education institutions under the auspices of the Ministry of Religion of the Republic of Indonesia. MA Darussalam Pangkalpinang does not currently have a Web Profile as a means of disseminating information to the public at large. This research has the objective of helping MA Darussalam Pangkalpinang to have a medium for disseminating information that can be accessed by the wider community easily, effectively, and efficiently. In making the Web Profile in this study, the Object Oriented Analysis and Design (OOAD) method was used which has several work stages that can optimize web performance to be optimal. Based on the OOAD method in this study, there are 5 diagrams used, including Use Case, Activity, Collaboration, Sequence, and Class Diagrams. The result of applying the OOAD method is a website-based school profile application that contains useful information belonging to the school, especially MA Darussalam Pangkalpinang which can be accessed by students and the wider community. With this web profile, it is hoped that it will help MA Darussalam in promoting their school more broadly and building a better school branding.

Dynamics of a Decision Support System for Online Tendering

In other to maximize the full potentials of information technology, both private and public establishments have been increasingly exploring and migrating manual processes into automated processes and the tendering system is not left out in these innovative migrations. This project work is aimed at developing an enhanced decision support system for online tendering which has helped to speed up decision making processes that improve the efficiency of the online tendering process. The specific objectives of this research work are to; Examine the current decision support system for the online tendering, design an enhanced decision support model for commercial bid evaluation in online tendering, Implement the enhanced decision support model for the online tendering and to evaluate the developed enhanced decision support model for the online tendering. The Object-Oriented Analysis and Design method has been used in the development of this project work with the unified modeling language (UML) diagrams used to explain the workability of the various objects of the system. All the modules of the developed system have worked according to specifications and design, and the system performed excellently well. The system has enhanced significantly the time taken to analyze and make decision cutting down cost of printing. Keywords: Decision Analysis, Data Integrity, Evaluation Model, Efficiency Levels, Technological Improvement, Managerial Processes

An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data

Monitoring mine activities can help management track the status of mineral resource exploration and mine rehabilitation. It is crucial to the sustainable development of the mining industry and the protection of the geological environment in mining areas. To monitor the mining activities of shallow surface outcrops in the arid and semi-arid regions of northwest China, this paper proposes a remote sensing monitoring approach of mining activities based on deep learning and integrated interferometric synthetic aperture radar technique. This approach uses the DeepLabV3-ResNet model to identify and extract the spatial location of the mine patches and then uses object-oriented analysis and spatial analysis methods to optimize the mine patch boundaries. SBAS-InSAR technique is used to obtain the time-series deformation information of the mine patches and is combined with the multi-temporal optical imagery to analyze the mining activities in the study area. The proposed approach has a recognition accuracy of 95.80% for the identification and extraction of mine patches, with an F1-score of 0.727 at the pixel level, and the average area similarity for all patches is 0.78 at the object-oriented level. The proposed approach possesses the capability to analyze mining activities, indicating promising prospects for engineering applications. It provides a reference for monitoring mining activities using multisource satellite remote sensing.

An Improved Model for Legal Case Text Document Classification

Misjudgments in court cases are inevitable in any judicial system irrespective of how civilized the country in which the judicial system is. The economic effects of failed court judgments cannot be overemphasized. The passing of wrong judgments can be a result of a lack of evidence due to poor research by counsels. Preparing for a court case is not an easy fit as a lot of research must be done on the part of the attorneys in charge. This paper presents an improved Hybrid model for legal case document classification. The system starts by collecting legal case documents from an online domain. The collected documents were converted to texts using a pdf miner library in python. The converted texts were used in creating tables using the pandas library. After the creation of the dataset table, the dataset was pre-processed by removing noise, and non-alphanumeric values, and performing tokenization. The tokenized data was then passed into principal component analysis for the selection of important features. The selected features were used in training an LSTM model for the classification of the legal case documents. The system was designed with Object-Oriented Analysis and Design method and implemented using python programming language. The result of the LSTM is outstanding, having an accuracy of 99% when evaluated with unseen legal case documents. The model was deployed in building a web application for the classification of legal documents. Upon testing the application with emerging documents, it sufficiently classified them and reduced tremendously the conflicting judgments experienced before the application of the improved model for legal case classification.

Analysis and Design of Accounting Information System on CV Indo Sangkar Emas

Using an Accounting Information System in a company can help the company in enhancing its performance. CV Indo Sangkar Emas is facing some problems at their business, such as frequently finding duplicate data, giving code to its data, recording purchase and sales transactions, and making financial statement all done manually. All the problems caused by the company still not using an Accounting Information System. Therefore, the company decided that they need Accounting Information System. The research aims to analyze and design Accounting Information System that can improve data accuracy, Quality Control, and financial statement quality on CV Indo Sangkar Emas, and improve communication between warehouse employees and office employees. The System will be developed using the Object-Oriented Analysis and Design method with the help of observation, interview, documentation, and Unified Modeling Language, such as use case diagram and class diagram.

Implementasi Sequential Searching pada Pencarian Transaksi Bilyet Giro Wisma BCA Pondok Indah Berbasis Website

Processing and archiving of power of attorney for depositing demand deposits at BCA Wisma BCA Pondok Indah still uses the manual method, namely storage in large folders based on grouping and alphabetically. With the large number of power of attorney stored at BCA Wisma BCA Pondok Indah, the process of providing teller transaction services is hampered in searching for the name of the customer who receives the checking account based on the account number, making it inefficient in terms of time and effort. The purpose of this study is to implement a sequential searching algorithm to facilitate the search for account numbers in the power of attorney archive system for depositing giro BCA Wisma BCA Pondok Indah. By using the waterfall method to overcome the above problems, in its development this system uses UML (Unified Modeling Language) object-oriented analysis methods such as Use Case Diagrams, Sequence diagrams, Activity Diagrams and Class Diagrams. Sequential Searching Algorithm can be implemented in the search for power of attorney archives based on account numbers. The programming language used in this application is PHP scripting and MySQL database and the system testing used is black box testing

Developing Micro Small and Medium Enterprises (MSMEs) In The Field Of Ornamental Fish Cultivation In The Village Of Pinang Freely E-Commerce

Micro, Small and Medium Enterprises (MSME) in Pinang Village currently play a major role in driving the economy of the community. This is due to the rapid growth of MSME in ornamental fish cultivation so that it has a positive impact on society. Currently, the marketing is limited. Even though it has used social media, the development of MSME in Pinang Village is very slow. To facilitate management, a forum in the form of online media in the e-commerce system has been created as a forum for the Pinang community to develop their MSME. So that they can maintain their existence and Continuous development. The research method in system analysis used for this research is PIECES which consists of Performance, Information, Economy, Control, Efficiency and Service. The system design uses object-oriented analysis methods with Unified Modeling Language (UML), the programming language used is PHP. In this research, a system will be developed whose implementation has features such as user, purchase transaction, fish categories, fish species, transaction reports. With the existence of this ecommerce system to help the development of MSME in the field of ornamental fish cultivation in Pinang Village

Development of a smartphone-based information platform for rural land sublease in China

This paper compares the current situation of development ,clarifies the problems that need to be solved by the information platform of rural land sublease, and then constructs a smartphone-based information platform and draws conclusions and suggestions, firstly, based on the analysis of rural land sublease policy and platform as a realistic basis, the design of rural land sublease information platform is carried out by using comparative analysis method and object-oriented analysis and design method. By constructing and analyzing the rural land sublease information platform, we deepen the informationization of land sublease government services and enhance the dynamic land title registration function. Based on the construction of the rural land sublease information platform, the government is promoted to explore the orderly opening and utilization of information resources, and provide all-in-one land sublease governmental information services in line with the needs and user habits of the new era. In today's new era of mobile network, the cell phone platform can better serve to realize the rights and obligations of land sublease regulated by the Land Contract Law of the People's Republic of China, improve the efficiency of rural land resources, and promote rural revitalization. With the gradual establishment of land sublease management information systems in various places, government information services such as land title registration inquiries are gradually standardized. However, there are still problems such as fragmentation of information on land sublease management and transactions, asymmetry of land sublease information, and low technical level.

Perancangan Website Sebagai Informasi Penjualan Sodium Cyclamat Pada PT.WIHADIL

In sales transaction, there are many methods that the company needs to compete with other competitors. Nowadays, many company use internet network or online sales to improve their sales. Online sales can improve company's sales along with high public interest in online shopping. With using online media, transaction process will be improved, integrated and increased the company's percormance. PT. Wihadil not yet using online media in business activity. This make sales was done manually and not efficient. Solution for this problem is a computerized information system. The analysis using observation method, interview method, and literature review. The system analysis report using PIECES method (Performance, Information, Economy, Control, Efficiency, and Service). The design system using object-oriented analysis method with Unified Modelling Language (UML). The purpose of the analysis is to discover sales proces and problems in PT. Wihadil. With applying online sales information system, the company can raise market opportunity, can have efficient transaction and well-integrated data sales, and can improve the service for.

Implementasi Metode Smart Dengan Menggunakan Sistem Pendukung Keputusan Dalam Menentukan Karyawan Terbaik Pada PT.XYZ

Every company that wants to continue to grow and wants to progress, the first thing that needs to be improved is the quality of its human resources. And one way to assess the quality of human resources in the company can be seen from the performance appraisal of employees. The object of this research was conducted at PT. xyz. The research method used in this study is the SMART method (Simple Multi Attribute Rating Technique), because the smart method can solve the problem of making choices that are multi-criteria and with simple analysis compared to other decision-making methods. This performance appraisal system is designed using PHP and MySQ. The method used in system development is the Object-Oriented Analysis and Design (OOAD) method and uses Unified Modeling Language (UML) modeling. The results achieved in the form of a decision support system in determining the best employees at PT.XYZ.

Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs

Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-dimensional (3D) landscape pattern indices were introduced on this foundation to measure the morphological and structural features of individual loess landform objects in more detail. Compared with the traditional two-dimensional (2D) landscape pattern indices, the indices consider the topographic features, thereby providing more vertical topographic information. Furthermore, the evolution modes between different loess landform types were discussed. Results show that the OBIA method achieved satisfying classification results with an overall accuracy of 88.12%. There are evident differences in quantitative morphological indicators among loess landform types, especially in indicators such as total length of edge, mean patch size, landscape shape index, and edge dimension index. Meanwhile, significant differences are also found in the combination of loess landform types corresponding to different landform development stages. The degree of surface erosion became increasingly significant as loess landforms developed, loess tableland area rapidly reduced or even vanished, and the dominant loess landform types changed to loess ridge and loess hill. Hence, in the reconstruction and management of the Loess Plateau, the loess tableland should be the key protected loess landform type. These preliminary results are helpful to further understand the development process of loess landforms and provide a certain reference for regional soil and water conservation.

Implementasi Sistem Informasi Bongkar Muat KIP INNI Pada PT. Gusti Glori Sukses Pangkalpinang

In managing the administrative data of loading and unloading production suction vessels at PT. Gusti Glori Sukses still uses manual administrative data management. All recapitulation of company administrative documents is still archived on sheets of paper, document preparation is still manual, which is considered less effective and efficient. Because data collection is still inaccurate, the effect on report presentation and administrative data processing tends to be slow. So that PT. Gusti Glori Sukses wants to have an information system for managing the loading and unloading administrative data of production suction vessels that is accessed internally which makes it easier for the company to run the company's operations smoothly. An information system that is made must be effective and in accordance with needs. The research method used in the development of this information system uses object-oriented design and analysis methods, with the FAST model, and the tools used are the Unified Modeling Language (UML). With the implementation of the information system for loading and unloading production suction vessels at PT. Gusti Glori Sukses based on computerization, all problems faced can be resolved, so that the administration of loading and unloading production suction boats can run optimally so that it becomes more effective and efficient.

Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains

The tobacco in plateau mountains has the characteristics of fragmented planting, uneven growth, and mixed/interplanting of crops. It is difficult to extract effective features using an object-oriented image analysis method to accurately extract tobacco planting areas. To this end, the advantage of deep learning features self-learning is relied on in this paper. An accurate extraction method of tobacco planting areas based on a deep semantic segmentation model from the unmanned aerial vehicle (UAV) remote sensing images in plateau mountains is proposed in this paper. Firstly, the tobacco semantic segmentation dataset is established using Labelme. Four deep semantic segmentation models of DeeplabV3+, PSPNet, SegNet, and U-Net are used to train the sample data in the dataset. Among them, in order to reduce the model training time, the MobileNet series of lightweight networks are used to replace the original backbone networks of the four network models. Finally, the predictive images are semantically segmented by trained networks, and the mean Intersection over Union (mIoU) is used to evaluate the accuracy. The experimental results show that, using DeeplabV3+, PSPNet, SegNet, and U-Net to perform semantic segmentation on 71 scene prediction images, the mIoU obtained is 0.9436, 0.9118, 0.9392, and 0.9473, respectively, and the accuracy of semantic segmentation is high. The feasibility of the deep semantic segmentation method for extracting tobacco planting surface from UAV remote sensing images has been verified, and the research method can provide a reference for subsequent automatic extraction of tobacco planting areas.

Perancangan Sistem Penyewaan Bus Berbasis Laravel Framework PT Sumber Jaya Trans Tangerang

The need for transportation for the community, especially in Tangerang Regency, which is used for holidays, tours, study tours, or pilgrimage. is a promising business opportunity for transportation companies.Because the need for transportation is important for the smooth running of its activities. PT. Sumber Jaya Trans Tangerang, which is involved in passenger transportation services, is one of the companies engaged in this field. In its operation still uses a manual system in renting buses. Many obstacles occur in this bus rental, such as business processes that have not been computerized, and data storage that is less effective and efficient. The research method in the analysis of the system used is PIECES which consists of Performance, Information, Economy, Control, Efficiency and Service. The system design uses object-oriented analysis method with Unified modeling Language (UML), the programming language used is PHP and the database used is MySQL. This system is web-based and uses the PHP 7 programming language, Web Design with CSS Bootstrap, Laravel Framework and MySQL for database design, while supporting software used in making programs is Visual Studio Code. In this research, a system has features such as master data, transactions, bus schedules, destinations, calendars, transaction reports, road warrant reports and activity logs. With this bus rental system, the bus rental process that is running will be more effective and efficient.

Comparison of machine learning algorithms for mapping mango plantations based on Gaofen-1 imagery

Mango is a commercial crop on Hainan Island, China, that is cultivated to develop the tropical rural economy. The development of accurate and up-to-date maps of the spatial distribution of mango plantations is necessary for agricultural monitoring and decision management by the local government. Pixel-based and object-oriented image analysis methods for mapping mango plantations were compared using two machine learning algorithms (support vector machine (SVM) and Random Forest (RF)) based on Chinese high-resolution Gaofen-1 (GF-1) imagery in parts of Hainan Island. To assess the importance of different features on classification accuracy, a combined layer of four original bands, 32 gray-level co-occurrence (GLCM) texture indices, and 10 vegetation indices were used as input features. Then five different sets of variables (5, 10, 20, and 30 input variables and all 46 variables) were classified with the two machine learning algorithms at object-based level. Results of the feature optimization suggested that homogeneity and variance were very important variables for distinguishing mango plantations patches. The object-based classifiers could significantly improve overall accuracy between 2–7% when compared to pixel-based classifiers. When there were 5 and 10 input variables, SVM showed higher classification accuracy than RF, and when the input variables exceeded 20, RF showed better performances. After the accuracy achieved saturation points, there were only slightly classification accuracy improvements along with the numbers of feature increases for both of SVM and RF classifiers. The results indicated that GF-1 imagery can be successfully applied to mango plantation mapping in tropical regions, which would provide a useful framework for accurate tropical agriculture land management.

Analytical Hierarchy Process (AHP), Economic Order Quantity (EOQ), and Reorder Point (ROP) in Inventory Management System

The research discussed the design of vendor selection features using the Analytical Hierarchy Process (AHP) method, inventory control using Economic Order Quantity (EOQ) method, and order notification using Reorder Point (ROP) method. The research aimed to find out the most appropriate time for procurement of goods, selection of vendors that fit the predetermined criteria and determine the number of items that had to be ordered within a period of time. Object-Oriented Analysis and Design (OOAD) method was used in building the system design. The sample of the research was a telecommunications service provider company. The result shows that by applying these three methods, the problems are overcome.

Evaluating metropolises grow and their impact on the around villages using Object-Oriented Images Analysis method by using Sentinel-2 & Landsat data

Evaluating metropolises grow and their impact on the around villages using Object-Oriented Images Analysis method by using Sentinel-2 & Landsat data

Development of a smart parking system based on internet of things using object-oriented analysis and design method

Smart City is one of the Smart Initiatives that tries to provide solutions to parking problems that are found in big cities. The growth of the vehicle population is not matched by the growth of parking infrastructure, which raises various problems such as illegal parking, traffic jams, and driving safety. Thanks to the massive evolution of the Internet of Things, the Smart Parking idea became a breakthrough in solving the growing parking problem. In this paper, we explain the prototype development of the Smart Parking System using the Internet of Things which has three subsystems, namely embedded systems, as well as Android and web-based applications. Smart Parking System’s software was developed using the Object-Oriented Analysis and Design (OOAD) method and has been tested using black-box testing with 41 test cases that were successfully received.