Analysis Of Data Requirements Research Articles

Design of a Peanut Skin Peeling Machine Design Based on Professional Autodesk Inventor Software

In the nut processing industry, such as peanuts, the skin peeling process is an important stage to obtain a quality final product. Manual peeling can be a tiring and time-consuming job, so automating the peeling process using a machine is an efficient solution. The aim of designing a peanut shelling machine is to make it easier for peanut farmers to make the production process more efficient. The design stage of the peanut skin peeling machine design includes analysis of data requirements and obtaining a design that suits the farmer's capacity, design design using Autodesk Inventor Professional Software and design analysis of the peanut skin peeling machine design. The results of the analysis of the peanut shelling machine frame experienced a displacement of 0.00352 – 0.01758 and a safety factor of 15 sf, with stress of -0.886 Mpa to 0.437 Mpa which was experienced at a point below the yield stress of 1.088 Mpa so that the chassis construction was declared safe. to the static load received.

Dataset Constrution through Ontology-Based Data Requirements Analysis

Machine learning (ML) technology is rapidly evolving, and the quality of ML systems is becoming an increasingly focal point of attention. Since the ML system is shaped by the dataset it learns from, its quality largely depends on the quality of the dataset. However, the dataset is often collected in a non-standardized process and few requirements and analysis methods are given to assist in identifying the needed dataset. This leads to no guarantee for the quality of dataset, affecting the generalization ability of model and resulting in low training efficiency. To address these issues, this paper proposes an ontology-based requirement analysis method where ontology integrates domain knowledge into the process of data requirements analysis and the coverage criteria on ontology are given for specifying data requirements which can later be used to guide the high-quality construction of the dataset. We held an experiment on an image recognition system in the field of autonomous driving to validate our approach. The result shows that the ML system trained by the dataset constructed through our data requirements analysis method has a better performance.

The Effect Of Return On Equity (ROE) On Company Value

: The purpose of this study is to find out how good the level of return on equity (ROE) is on the value of companies in the Jakarta Islamic Index (JII) group in 2019-2021, to find out how good the value of companies listed in the Jakarta Islamic Index (JII) group in 2019-2021, to find out the relationship of return on equity to company value after the effect of return on equity to the value of companies in the Jakarta Islamic Index group for 2019-2021. The results obtained from this study in testing the analysis of data requirements are normally disbusted with sig values. 0.200 > 0.05 then the data can be said to be normally distributed and the results of this analysis can be continued for the next regression analysis and correlation testing with a sig of 0.000 < 0.05 which means that there is a relationship between the decline on equity to the value of the company in the Jakarta Islamic Index group and the results of the nonparametric correlation test there is also a significant relationship between the two variables, namely the return on equity variable (ROE) is the value of the company, and the partial test (T) shows that the sig t result is greater than 0.05, which is 0.000 < 0.05 and the coefficient of determination test of 0.729 which means that 72.9% of the company's value can be explained by the return on equity because it is in the high category while 27.1% is explained by other variables outside the variables studied. So it can be said that there is a positive and significant influence on equity on the value of companies in the Jakarta Islamic Index (JII) group.

Model Pencatatan Reproduksi Sapi Perah Menggunakan Rekording Sapi Elektronik (REKS-EL) Berbasis Android Untuk Mengoptimalkan Reproduksi Sapi Perah Di Kecamatan Pujon Kabupaten Malang

This study aims to create a dairy cow reproductive recording model by optimizing android use by farmers. The making of a dairy cow reproductive data recording model is based on an analysis of the needs of farmers. The data collection method was carried outby survey by extracting primary data using questionnaires and observation and secondary data based on recording supporting data. The data requirements obtained are then implemented in software programming using MySQL, PHP, web and Android Studio version 3.1 programming languages for windows. The software design uses the Sommerville version of the Waterfall Method (2011) with stages; data requirements analysis, design, implementation, verification and testing, installation and maintenance. The system's design is called Rekording Sapi Elektronik (REKS-EL) version 1.2 with a minimum of 1 or 2 GB android RAM, specifically Jellybean version 4.1 and above, while storage space capacity is above 5 MB. The tools designed are Farmer Profile, Livestock Identity, Performance, Reproduction and Marriage and Health of dairy cows, so user usage is more applicable. The software has been tested on the user in its implementation in the field. It will continue with the development (development) to keep it updated according to the needs of farmers.

Battery degradation diagnosis with field data, impedance-based modeling and artificial intelligence

• Electrode-level degradation diagnosis approach for lithium-ion batteries • Hybrid model integrates the battery impedance and OCV-reconstruction • Accurate parameter identification with artificial intelligence and field data • Accurate estimation of capacity fade, power fade, and degradation modes • Robustness analysis and data requirements analysis for cloud applications By collecting battery data from the field and building up the battery digital twin in the cloud, the degradation of batteries can be monitored online on the electrode level and the information regarding the degradation modes can be extracted from the data. Here, we present a degradation diagnosis framework for lithium-ion batteries by integrating field data, impedance-based modeling, and artificial intelligence, revolutionizing the degradation identification with accurate and robust estimation of both capacity and power fade together with degradation mode analysis. By integrating an impedance-based model and an open-circuit voltage reconstruction model, the hybrid model consists of parameters representing the change of impedance in a wide frequency domain and the change of open-circuit voltage during degradation. Based on the field data with low and high dynamics, the data-driven parameter identification method using a multi-step cuckoo search algorithm considering parameter sensitivity differences shows high accuracy and robustness in aging parameter estimation and degradation mode identification even under sensor noise. Furthermore, the data requirement for the battery digital twin in the sense of sampling rate was investigated considering degradation identification accuracy, computational cost, and data storage cost. This work highlights the opportunity in online electrode-level degradation diagnosis in the field through battery modeling and artificial intelligence.

Design of RT/RW Portal Public Service Applications to Build a Technology Literate Society in the Era of Society 5.0

<p class="Abstract">The role of RT/RW administrators is not only as administrative public servants but also as a servant to the interests of the wider community. Therefore, their role needs to be optimized so that the aspirations of the citizens can be accommodated. However, the large area and dense population often make RT/RW administrators constrained in accelerating access to services and increasing the effectiveness of their activities. The role of information technology is very important, considering that the use of technology has been proven to be successful in improving public services. The utilization of an existing information system is not necessarily in accordance with the needs and related regional policies. In this study, the development of a system adapted to the needs and regional policies, especially in Sekeloa Village, Coblong District, Bandung City was carried out. An RT/RW Portal application was produced which has five main features, namely reporting events, invitations to activities, voting, transparency of funds, and printing reports. This application development method uses the SDLC (Software Development Life Cycle) method with stages of data requirements analysis, software design and design, application development (programming) and application testing before being implemented in RT-RW. The results obtained are in the form of an RW portal application that can assist the function and role of the RT/RW both in administrative management, as well as the dissemination of information in the form of news on activities surrounding the RT/RW. The conclusion is that the API of this application can be developed to build mobile.</p><p class="Abstract"> </p>

The Effect Of Learning Approaches And Learning Creativity On The Ability To Solve Physic Problems

The purpose of this study is to determine the differences in the effect of students' ability to solve physics problems between those taught with the Scientific learning approach and the conventional learning approach. Knowing the difference in the ability to solve physics problems between students who have high creativity and students who have low creativity. Then find out the effect of the interaction between the learning approach and learning creativity on the ability to solve physics problems.The research method used is experiment. The sample size was 80 students consisting of 40 students in the experimental group and 40 students in the control group selected by cluster sampling. Data collection was carried out with the technique of giving 10 items of test description and 30 items of learning creativity questionnaire. Data analysis using descriptive statistical methods and data requirements analysis. Test the hypothesis of this study using two-way ANAVA. The results showed that: (1) There is a difference in the ability to solve the physics problems of students who are taught with a scientific learning approach and those taught with a conventional learning approach.(2) There is a difference in the ability to solve physics problems of students who have high creativity and students who have low creativity.(3) There is no influence of the interaction of learning approaches with learning creativity.In this study shows that the approach to scientific learning is better than conventional learning approaches. This means that by applying a scientific learning approach and paying attention to student learning creativity well, it will produce the ability to solve good physics problems

Graduation Prediction System On Students Using C4.5 Algorithm

Bumigora University College there are several things that are not balanced between the entry and exit of students who have completed their studies. Students who enter in large numbers, but students who graduate on time below the specified standards. As result, there was a huge accumulation of students in each graduation period. One solution to overcome the problem above needs a data mining based system in monitoring or utilizing student development in predicting graduation using the C4.5 algorithm. The stages of this research began with problem analysis, data collection, data requirement analysis, data design, coding, and testing. The results of this study are the implementation of the C4.5 algorithm for predicting student graduation on time or not. The data used is the data of students who have graduated from 2010 to 2012. The level of acceptance generated using the confusion matrix is ​​93,103% accuracy using 163 training data and 29 testing data or 85% training data and 15% testing data. The results of research and testing that has been done, C4.5 algorithm is very suitable to be used in student graduation prediction.

Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts.

ObjectivesThe aim of this study is to demonstrate how an integrated information system of mother and toddler cohorts can be developed as a basis of the continuum of care approach that subsequently can be used as the basis of early detection of risk factors of maternal mortality.MethodsThis research was carried out qualitatively. The data was collected through three techniques: in-depth interviews, focus group discussion, and document studies at six public health centers located in four sub-districts of Surabaya, Indonesia. This research was conducted from 2016 to 2018.ResultsThe data collected from this research has become a basis input data requirement analysis for an integrated mother and toddler cohort information system. The system accommodates all the variables in each period of pre-marriage, pregnancy, labor, infancy and toddlerhood. The system facilitates healthcare workers to retrieve data and information related to mother and toddler health status.ConclusionsThe availability of various pieces of information enables the health status of mothers and toddlers to be monitored thoroughly throughout their long-life cycle. This continuum of care approach is beneficial in the early detection and management of risk factors of maternal mortality, such as pregnancy complications as well as childbirth and postpartum complications.

SISTEM INFORMASI PEMASARAN PT TELKOM DIVISI FIXED WIRELESS UNTUK PERENCANAAN PROGRAM DAN MENAMPILKAN INDIKATOR PERFORMANSI PEMASARAN

In today’s business environment, information technology plays an important role in supporting firms to achieve their business objectives including marketing management. The provision of accurate data in a timely manner is important to support planning and monitoring marketing performance. Planning a structured and integrated marketing plan requires involvement from various divisions including Sales, Tariff, Service, Legal, Finance, Information Systems, Billing and Product Owner. In order to measure marketing performance following the commencement of a program, demonstration of marketing performance indicators quickly and accurately is necessary. This study aims to develop an information system to support the marketing program planning process and show marketing performances indicators online. The scope of information systems developed is PT Telekomunikasi Indonesia Fixed Wireless Division. The users of the information systems are divisions or units related to marketing management. Development stage starts with a survey and establishment of user requirement until design stage. Methods used in this study are interviews, survey, literature, review and focus group discussion followed by data requirement analysis and system design. The benefits of the system developed in this study are increasing efficiency and effectiveness of program planning and marketing performance measure, as well as increasing management control of marketing performance. Results obtained from this study are the establishment of user requirements in program planning process and the development of a feasible information system from technical, operational and economic point of views. Further investigation and design in a national scope are required to establish a national system, followed by implementation, testing and deployment to apply the information system.

Synchrophasor-Based Wide-Area Backup Protection Scheme with Data Requirement Analysis

This paper presents a fast and robust wide-area backup protection scheme to detect the faulty condition and to identify the faulted line in a large power network. The proposed methodology uses positive-sequence synchrophasor data captured by either digital relays with synchronization capability or phasor measurement units dispersed over the network. The basic idea behind the new protection scheme is the comparison of bus voltage values calculated through dissimilar paths. Upon occurrence of a fault, the faulty condition is first detected and the bus(es) connected to the faulted line is(are) determined. Among transmission lines connected to the suspected bus(es), the faulted one is thereafter identified. In addition to two-terminal transmission lines, multiterminal lines are also incorporated. The performance of the proposed method is validated on the IEEE 57-bus test system in different fault conditions (fault type, fault location, and fault resistance). Discrimination of faulty and normal conditions is simulated by examining various stressed conditions, for example, load encroachment, generator outage, and power swing. The data requirement of the proposed technique is analyzed as well. To do so, a mathematical model for the optimal placement of measurement devices is developed and applied to different IEEE standard test systems.

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method.

We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full data-requirement analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel reconstruction algorithm that provably improves over all previous methods in a regime of interest.

Data Requirements Analysis Based on China’s Agricultural Monitoring and Early-warning

Data Requirements Analysis Based on China’s Agricultural Monitoring and Early-warning

Towards an autonomous real-time tracking system of near-miss accidents on construction sites

It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous data requirement analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these requirements. First, the autonomous data requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation.

An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks

Neural networks have been shown to be a promising tool for forecasting financial time series. Several design factors significantly impact the accuracy of neural network forecasts. These factors inc...

Object-oriented DSS construction for hierarchical inventory control

The paper discusses an object-oriented approach for the construction of an integrated hierarchical DSS for inventory management. Analysis of data requirements and computational needs at various levels are used to define the data objects and model of the DSS. High level constructs of models and data are used to develop the displays feature for interactive decision making. The inheritance relation of the object-oriented approach is used to provide the framework for control of the multi-level operation.

An Analysis of Data Requirements for Parametric Models of Nonrecurring Costs

(1988). An Analysis of Data Requirements for Parametric Models of Nonrecurring Costs. Journal of Parametrics: Vol. 8, No. 2, pp. 12-25.

ADA in process control

The principles of database design in a distributed system are examined. The organization of the data, derived from a close analysis of data requirements and data usage, is the most important design decision. The type of system depends on the type of database and so does the manner in which decentralization is achieved.While only loose data integration is currently feasible in a distributed system, central control and standar dization is a valuable investment for the future.

Principles of database management in a distributed system

The principles of database design in a distributed system are examined. The organization of the data, derived from a close analysis of data requirements and data usage, is the most important design decision. The type of system depends on the type of database and so does the manner in which decentralization is achieved. While only loose data integration is currently feasible in a distributed system, central control and standar dization is a valuable investment for the future.

Analysis of GARP Data Requirements

Global atmospheric research program data requirements analysis based on two level numerical model