Data Retrieval Process Research Articles

PERANAN UAV (UNMANNED AERIAL VEHICLE) DALAM IDENTIFIKASI ANCAMAN LONGSOR TINGGI DI SUNGAI CI DURIAN, DAERAH CIGUDEG, BOGOR

Technological developments in the field of photography, especially in the manufacture of 3D models from a collection of aerial photographs can be quickly and effectively with Unmanned Aerial Vehicle (UAV). This research was conducted in CI Durian River as the target object of 3D modeling. The study area located in Bogor regency, West Java province has a morphology of hills to low hills with winding rivers and composed by the Bojongmanik formation (Tmb). The dominant rock units in the study area are sandstone and claystone. The process of data retrieval using Unmanned Aerial Vehicle (UAV) can be used to perform mapping quickly and accurately at a more affordable cost. This research uses descriptive and interpretive methods. Primary Data in the study is all the data acquired through drones. Secondary Data are data such as slope maps and topographic maps. Primary Data and secondary data can be a reference in detecting landslides in the study area. The tool used in this study is to use unmanned Aerial Vehicle (UAV) technology in the form of drones by utilizing aerial photography data which is then processed into Digital Elevation Model (DEM) data. The use of Ground Control Point (GCP) can certainly add accuracy to the creation of DEM data. The Data is a reference in the interpretation of the threat of landslides that occurred in the study area. Primary data in the form of slope can validate secondary data in the form of slope maps. The dominant factors that influence the threat of landslides in the study area include: topographic factors and steep slopes. Topography and slope factors are very steep slopes are the main factors of high landslide threat in the study area.

Concept of Select Unlocking Optimization

Ensuring data integrity stored in a database requires change encapsulation in a transaction. Transaction maintains consistency by shifting the database from one consistent state to another, protected by atomicity, isolation, and durability. This paper focuses on the isolation and parallelism allowing distributed access to the data tuple across multiple transactions. Access to the data tuple is marked by the locks applied on the row level. Locks can be shared expressing data retrieval process or exclusive intended to change the values of the columns. The general locking rule takes the lock before the operation and releases it just after the operation or at the end of the transaction. Oracle database, however, does not release the lock physically, whereas the data block access would be necessary to be reloaded during the transaction approval. Therefore, this paper aims in optimizing the process of unlocking data before the data retrieval process using multiple strategies.

Optimised fuzzy C-means clustering based cluster indexing towards incremental learning integrated text categorisation

Text classification is the most significant task in the data retrieval process through classifying text into various groups depending on the document's content. The quick progression of electronic documents may produce various issues, such as unstructured data, which requires more effort and time for searching appropriate documents. Text categorisation has high importance in information retrieval and processing, wherein unstructured documents are arranged into a predefined group. In addition, incredible growth in online documents obtains ability with the development of the internet needs a highly precise and effective retrieval approach. Thus, in this paper, Dingo Monarch butterfly optimisation (DMBO) approach and Tversky index-based indexing are developed for incremental learning-enabled text categorisation. Moreover, text categorisation is done based on incremental learning along with a Bayesian classifier. This text classification approach achieved better performance with a precision of 0.9136, recall of 0.9173, F-measure of 0.9051, and accuracy of 0.8461.

Web Page Recommendation Using Distributional Recurrent Neural Network

In the data retrieval process of the Data recommendation system, the matching prediction and similarity identification take place a major role in the ontology. In that, there are several methods to improve the retrieving process with improved accuracy and to reduce the searching time. Since, in the data recommendation system, this type of data searching becomes complex to search for the best matching for given query data and fails in the accuracy of the query recommendation process. To improve the performance of data validation, this paper proposed a novel model of data similarity estimation and clustering method to retrieve the relevant data with the best matching in the big data processing. In this paper advanced model of the Logarithmic Directionality Texture Pattern (LDTP) method with a Metaheuristic Pattern Searching (MPS) system was used to estimate the similarity between the query data in the entire database. The overall work was implemented for the application of the data recommendation process. These are all indexed and grouped as a cluster to form a paged format of database structure which can reduce the computation time while at the searching period. Also, with the help of a neural network, the relevancies of feature attributes in the database are predicted, and the matching index was sorted to provide the recommended data for given query data. This was achieved by using the Distributional Recurrent Neural Network (DRNN). This is an enhanced model of Neural Network technology to find the relevancy based on the correlation factor of the feature set. The training process of the DRNN classifier was carried out by estimating the correlation factor of the attributes of the dataset. These are formed as clusters and paged with proper indexing based on the MPS parameter of similarity metric. The overall performance of the proposed work can be evaluated by varying the size of the training database by 60%, 70%, and 80%. The parameters that are considered for performance analysis are Precision, Recall, F1-score and the accuracy of data retrieval, the query recommendation output, and comparison with other state-of-art methods.

A Systematic Database for Microbial Data Collection Management

Microbiology research is one of the research fields that deal with a huge volume of microbial culture collection data which needs to be preserved, due to its importance as a key resource center for obtaining, identifying, producing, preserving, cataloging, and distributing culture data of various microbes. Currently, the collection and storing of microbial culture data is performed manually via various data transfers into record books, logbooks, or spreadsheets. However, the manual process seems to be impractical as it is highly prone to human error and time-consuming, aside from the struggle of managing and retrieving the data. Therefore, to address this issue, we have successfully designed and developed a customized database for microbial data collection that allows users to store, access, visualize and retrieve information in a single platform. The agile development approach has been implemented during the software development process allowing more flexibility during the development phase yet managing to fulfill the functional requirements of the end-users. The front end is created using the Bootstrap framework, an open-source and powerful platform for developing user-friendly web pages and web applications. It is connected to the back-end MySQL database as a relational database management system to organize structured data. As a result, the developed microbial culture collection has eliminated manual data entry and accelerated the data retrieval process. The platform is a one-stop platform for microbiologists when dealing with microbial culture collection data.

Research on Monitoring and Early Warning of the Mine Backfill System Based on Blockchain Technology

At present, the mine filling system is a mostly automated operation process, and it has many problems, such as centralized data storage and low safety performance. Aiming at solving the above problems, this paper proposes a mine filling overlimit warning system based on blockchain to achieve the functions of an equipment operation overlimit warning, data storage, and data retrieval. Firstly, the original data model is trained based on transfer learning to obtain the overlimit early warning model and predict the overlimit of equipment operation. Then, the interplanetary file system (IPFS) storage device is used to store the running data and overlimit data, and the corresponding file identifier CID is stored on the blockchain. At the same time, alliance chain technology is used to allow administrators and users to retrieve data based on credentials to ensure the privacy of the data retrieval process. System experiments and analysis evaluations show that the combination of blockchain and IPFS to store monitoring data can effectively save storage space and improve the efficiency of storage and retrieval. The application of an overlimit early warning model can optimize the mine filling process and prolong the operational life of system equipment.

THE PHENOMENON OF MULTI-ETHNIC AND RELIGIOUS LIFE THE ACEH SINGKIL REGENCY

Aceh Singkil is one of the areas known as a multicultural area, consisting of various ethnicities, customs, languages, and religions. Such conditions are vulnerable to friction and threaten community harmony. Therefore, building awareness of tolerance is the best step to overcoming problems that can trigger conflict. This study will examine the meaning of tolerance in Aceh Singkil, using the theory of symbolic interactionism. The approach used in this study is a qualitative approach with a descriptive type, with primary and secondary data sources. The process of data retrieval is obtained through observation techniques, interviews, and documentation. The results showed that each group of people, namely the majority and minority, have an awareness of tolerance. The meaning of tolerance for the people of Aceh Singkil is: (1) appreciate and respect, (2) Communicate, (3) Be kind based on religious values, and (4) not annoying. Social activities related to religious values are not negotiable. on the contrary, activities outside religious values can be tolerated by the community.

Divorce Sues Through E-Court Process In The Binjai Religious Court in North Sumatera During The Covid-19 Pandemic

The purpose of this study is to find out how the implementation of divorce lawsuits through the e-court at the Binjai Religious Court, the difference between filing an ordinary lawsuit and filing through an e-court, and the effectiveness of implementing a divorce lawsuit through the e-court at the Binjai Religious Court. This research is an empirical legal research, with a case study approach and a statutory approach. The data sources are primary and secondary data, the data collection techniques are observation, interviews and documentation. The results of the research are: First, the implementation of a lawsuit in the Binjai Religious Court in terms of registration through the e-court itself is of two kinds, namely advocates/legal entities and independent users. Second, the difference between an ordinary lawsuit and the submission through e-court is an ordinary lawsuit, a divorce suit is filed by the husband or wife or their proxies to the Court whose jurisdiction includes the defendant. Third, the effectiveness of the implementation of divorce lawsuits through e-court through the Binjai Religious Court of North Sumatra can be seen from saving time and money in the case registration process, as well as well-archived documents, accessible from various locations and media as well as a faster data retrieval process.

Statistical analysis of query processing time in cache-based cloud database systems

With the proliferation of data in cloud-based systems, the performance of the data retrieval process from the database management system is becoming indispensable. Caching is one of the techniques to retrieve the data faster. It reduces the number of database accesses for similar queries, which in turn, reduces the processing time. It also facilitates in reducing the load on database servers, which results in the reduction of the overall response time. This paper is based on our caching framework for NOSQL datastores, which seeks to speed up the processing of many requests. The frequently used queries, which are expensive to reevaluate, are cached by this framework on top of a column-based datastore. In order to speed up query processing, certain queries are cached. In this study, query processing times without the influence of the database or system cache are used to evaluate the framework’s performance.

The Influence of the Role of the School Committee on the Implementation of School-Based Management

This study aims to determine the influence of the role of school committees on the implementation of school-based management (SBM) in private elementary schools in Pemalang district. The method used in this study is a descriptive method with a quantitative approach, namely research with quantitative data which is then processed and analyzed for conclusions. The first step before the research is taken is to conduct a theoretical study, then the following stages are carried out; first, compiling research instruments, secondly testing the validity and reliability of instruments, thirdly the process of data retrieval, fourth tabulation of data, data processing and interpretation of data, fifth drawing conclusions. The results showed that; first, The role of the school committee as a judge, supporter, mediator and controller of the implementation of SBM obtained a minimum score of 69 and a maximum score of 202 with a score range of 133. The data can be described as saying that out of 100 respondents who stated that the role of the school committee was good, 13 people were equivalent to 13%, stated that 37 people played a good role. 37%, stated that 39 people played a role equivalent to 3 9% stated that they played less role as many as 9 people equivalent to 9% and respondents who stated that they did not play a role as many as 2 people were equivalent to 2%. With a mean value of 149.27 and a mode value of 162, the value is included in the interval class 150 – 176 in the good/high category. The conclusion of this study is that the level of SBM implementation in Pemalang District Private Primary School is influenced by the level of role of the school committee. The higher the role of the school committee, the more the implementation of SBM will increase. Similarly, if the role of the school committee is low or lacks a role, then the level of implementation of SBM will also decrease.
 

Database Management Education in MYSQL

The purpose of this research is to find out what is database management in MySQL or read My Sequel is a Database Management System often abbreviated as DBMS, MySQL is an open-source database management system. MySQL can be used to create and manage databases and their contents, from the smallest to the very large and to convey information to its users. MySQL is also included in the RDBMS or Relational Database Management system, where in its database structure so that when the data retrieval process uses the relational database method and becomes a liaison between the software and the database server. The thing to remember is that MySQL can be used for free.

An Enhance the Performance of Mining Vehicular and Machinery Security Systems Using Artificial Intelligence in VANET Cloud Computing

Over the recent decades, incorporating Vehicular Ad-hoc Network (VANET) into Cloud computing plays a vital role, since it provides a reliable safety journey to vehicular drivers, passengers, etc. However, attaining security and emergency message dissemination is still major bottleneck in VANET combined Cloud, due to the dynamic nature of vehicles and wireless communication. Our major intention is to provide high level security in VANET-Cloud environment. In addition to it, we also reduce delay in emergency dissemination. Our proposed Delay aware Emergency Message Dissemination and Data Retrieval in secure (DEMD22RS) VANET-Cloud is composed of four sequential processes: Authentication, Clustering, Data Retrieval and Data dissemination. In regard to maintaining security for both Road Side Unit (RSU) and Vehicles, we propose Hash based Credential Authentication Scheme (HCAS) that affords authentication using Secure Hash Algorithm-3 (SHA-3) and Elliptic Curve Points (ECP). To sustain a stable cluster, Firm Aware Clustering Scheme (FACS) is pursued where Stud Krill Herd (SKH) algorithm is exploited. In the data retrieval process, cloud provides requested information to the RSU in encrypted form using the Twofish algorithm. RSU discover the path to deliver received data through executing Artificial Neural Network (ANN) algorithm. In order to diminish delay in emergency message dissemination, best disseminator is selected by cluster head using Fuzzy-Topsis (FT) algorithm. Our DEMD22RS VANET-Cloud network is implemented in Network Simulator 3 tool. Finally, the evaluation of DEMD22RS work performance is achieved by computing consequent metrics that are Throughput, Packet Delivery Ratio, Transmission delay, Average delay, Key generation time, Encryption time and Decryption time.

Gender Variables and Management of Human Resources among Public Secondary School Principals in Delta State, Nigeria

This research principally examined gender variables and human resources management among male and female public secondary school principals in Delta State, Nigeria. The study was based on descriptive survey method which adopted the ex-post facto design. The population comprise 9361 teachers drawn from the 466 public secondary schools in Delta State. 936 teachers, representing 10% of the teachers, was the sample size using stratified random sampling technique with consideration to local government areas and senatorial districts in Delta State. The main instrument used, was a self, constructed questionnaire titled “gender variables and secondary school principals’ human resources management questionnaire (GVSSPHRMQ). The face and content validity was ascertained. The researchers employed the services of four well instructed field assistants to facilitate the process of data distribution and retrieval. Out of the 936 questionnaire administered, 934 were returned correctly filled. The data were analysed using descriptive statistics of mean scores and standard deviation for the research questions, while the t-test statistical tool was used to test the stated hypotheses at 0.05 level of significance. The acceptance and rejection bench mark for the mean was; 0-2.50 and 0-2.49 respectively. The findings which emerged include; the extent of some indices of gender variables on effective human resource management, among male and female public secondary school principals in Delta State and there was no significant difference between male and female secondary school principals’ views on the administrative task areas, and that gender variables influence in the management of human resources among public secondary school principals in Delta State, Nigeria.
 
 Received: 23 September 2021 / Accepted: 8 June 2022 / Published: 5 July 2022

Augmentation of AI-based Process for Blood Doping Discovery in Sports using Random Forest Ensembles with LightGBM

Metadata is an exploration of the given data. It organizes the data by grouping the collected information on a particular structure for easy understanding. Metadata reduces the computational burden on data mining algorithms by keeping an organized record. Data that are related to healthcare application requires serious attention on privacy concern and therefore such information are encrypted in most cases. Processing of encrypted data is difficult, and it may lead to estimate the prediction with a faulty output. Hence, a blockchain based data securing system is proposed in the work for securing the data that are transmitted from a ubiquitous computing device. The paper also incorporates the proposed work with a whale optimization algorithm for reducing the execution time required on the blockchain based data storage and retrieval process.

Digital Protection and Utilization of Folk Art Resources Using Virtual Reality Technology

Folk art is a “living fossil” of hisory, whose existence and evolution reflect the way people live and think. It is a one-of-a-kind way of communicating the process of human development to the rest of the world. However, as China’s economic development and cultural globalization accelerate, many folk arts are being severely harmed and lost. The emergence of virtual reality technology, which benefits from the advantages of virtual reality technology, has greatly strengthened the utilization and protection of folk art resources in recent years, with the rapid development of Internet technology. Virtual reality technology is a human-computer interaction experience technology that uses complex calculations to provide corresponding operational feedback to the senses of touch, hearing, vision, and balance. It is more reasonable and perfect to reconstruct and integrate the resource content and realize the digital utilization of folk art resources in this paper, which is based on the ALS collaborative filtering algorithm. This paper will make some necessary improvements to the original algorithm, which has met the requirements of virtual reality technology, through the comparison of algorithms. Finally, experiments show that the proposed algorithm’s accuracy is 85 percent higher than the original algorithms, and the data retrieval processing interval is more reasonable.

The Parent Perception Toward Studying-at-Home Activity During Pandemic Covid-19

This study aims to identify parents' perception of learning from home during the Covid-19 pandemic. This research is a qualitative descriptive research. In this study, respondents as many as 5 people consisting of parents who were given the initials P1, P2, P3, P4, P5. Data collection using qualitative case study method and data retrieval process in this study comes from interviews obtained by parents' perception of learning from home during the Covid-19 pandemic. Data analysis techniques in this research use descriptive qualitative analysis. The results of this study show that there is a perception of parents towards learning from home during the Covid-19 pandemic is considered less than optimal because the learning process is not directly carried out with teachers, the learning process must have technological tools in the form of gadgets in order to follow distance learning. In addition, the use of online learning parents have to buy additional quota even though there is free internet quota, but the use of free internet quota is used all the time for learning activities at less savings. Learning at home is done considering the health aspect becomes a very vulnerable aspect to this disaster because the ease of transmission from covid-19 is very fast and can infect anyone who makes contact with people with covid-19, especially for those who have a low immune system.

Blockchain-Based Trust Management Framework for Cloud Computing-Based Internet of Medical Things (IoMT): A Systematic Review.

The internet of medical things (IoMT) is a smart medical device structure that includes apps, health services, and systems. These medical equipment and applications are linked to healthcare systems via the internet. Because IoT devices lack computational power, the collected data can be processed and analyzed in the cloud by more computationally intensive tools. Cloud computing in IoMT is also used to store IoT data as part of a collaborative effort. Cloud computing has provided new avenues for providing services to users with better user experience, scalability, and proper resource utilization compared to traditional platforms. However, these cloud platforms are susceptible to several security breaches evident from recent and past incidents. Trust management is a crucial feature required for providing secure and reliable service to users. The traditional trust management protocols in the cloud computing situation are centralized and result in single-point failure. Blockchain has emerged as the possible use case for the domain that requires trust and reliability in several aspects. Different researchers have presented various blockchain-based trust management approaches. This study reviews the trust challenges in cloud computing and analyzes how blockchain technology addresses these challenges using blockchain-based trust management frameworks. There are ten (10) solutions under two broad categories of decentralization and security. These challenges are centralization, huge overhead, trust evidence, less adaptive, and inaccuracy. This systematic review has been performed in six stages: identifying the research question, research methods, screening the related articles, abstract and keyword examination, data retrieval, and mapping processing. Atlas.ti software is used to analyze the relevant articles based on keywords. A total of 70 codes and 262 quotations are compiled, and furthermore, these quotations are categorized using manual coding. Finally, 20 solutions under two main categories of decentralization and security were retrieved. Out of these ten (10) solutions, three (03) fell in the security category, and the rest seven (07) came under the decentralization category.

Dynamic Data Feeding into BIM for Facility Management: A Prototype Application to a University Building

Building information modelling (BIM) has demonstrated its potential as a solution providing support to a series of operations related to facility management (FM) through building data retrieval, analysis, and processing. However, some challenges to the effective adoption of BIM-centred FM information systems occur in their design and implementation, causing obstacles to usability. Among these challenges are the customization of the information structure for each application case, the dynamic character of data supporting building maintenance, and the range of FM specialities involved, frequently including persons who are not BIM experts. This paper presents a BIM–FM prototype to support operations and access updated environmental data for a university building. The two contributions of the developed prototype are its ability to register two types of dynamic data, namely, the regularly acquired environmental sensor information and the sporadic building intervention records, and the automation of the data feeding, updating, and retrieval processes, allowing a user-friendly environment for both BIM experts and non-BIM users. Exploring the BIM interoperability and the integration of plug-ins, the proposed solution enables the comprehensive registration of dynamic FM-related data in an updated model while being accessible to all the specialities involved in the building management operations, enhancing its usability as an integrated solution for data maintenance and retrieval.

Pengaruh Harga Terhadap Keputusan Pembelian Di Apotik MAMA Kota Depok

Each company always strives to maintain its customers in order to be able to follow competition between companies that are getting tighter. Customers are expected to continue making purchases. Prices are important, every price set by the company will result in the level of demand for the product to be different. The price specified by the company is exact and according to the purchasing power of consumers, the selection of consumers on a particular product will be imposed on the product. In this case also applies to product pricing sold at Depok Mama Pharmacy on purchasing decisions. In this study using a quantitative method with a questionnaire that was distributed to the customer of the Depok City Mama Pharmacy as a data retrieval and data processing tool used was SPSS 22. The results showed the price variables and purchasing decisions on the Depok City Mama Pharmacy had a very strong positive relationship and a positive price variable

Perancangan Sistem Informasi Bank Darah Menggunakan Basis Data NoSQL

The existence of a blood exchange transaction process through a system carried out by the community, causing storing and managing data on a large scale is now causing problems in terms of scalability for blood bank managers in Yogyakarta. The process of blood transactions carried out by PMI units and hospitals at any time, makes the structure of relations in the blood banking system more complicated. In fact, every PMI unit and hospital in Yogyakarta requires a real-time data collection and storage process, considering that access to mobility of blood transactions is carried out almost 24 hours a day. Implementing an information system using a non-relational database model, is an alternative in the process of simplifying the relational structure in data relationships, this is because the non-relational database uses a NoSQL database model that provides support for database speed so that it remains optimal. In the research conducted, an information system was created that applied a non-relational database model to a case study of a blood bank information system. Where the NoSQL database is suitable for blood bank systems because it has high performance and is non-relational with real-time data storage and retrieval processes. The research conducted resulted in a blood bank information system that was developed using the Firebase database, where this system can display some data from the database such as viewing blood stocks, hospitals, blood donor events, and other information that is carried out in real time.