Tool For Design Of Systems Research Articles

SISTEM INFORMASI MANAJEMEN SURAT BERBASIS WEB MENGGUNAKAN METODE EXTREME PROGRAMMING PADA KOREM 044/GAPO PALEMBANG

This study discusses a web-based mail management information system using the Extreme Programming method at Korem 044/Gapo Palembang. The system development method used in this study is the Extreme Programming (XP) methodology. There are four stages contained in the XP methodology, namely Planning, Design, Coding, and Testing. Observations, interviews, and literature studies are the techniques used to collect data in this study. The system design tool used in this study is the Unified Modeling Language (UML). Visual Studio Code and XAMPP are the main software for creating web programs. The testing method used in this research is the blackbox testing method. This research succeeded in producing a web-based mail management information system that was created using the Extreme Programming method for expensive use in the Infolahta Korem 044/Gapo Palembang.

Partial Discharge Inception Modelling of Insulating Materials and Systems: Contribution of Electrodes to Electric Field Profile Calculation

Partial discharge inception modeling is a powerful tool for material investigation and insulation system design in order to achieve the objective of PD-free operation of insulation systems. Model validation, however, requires accurate and repeatable testing conditions, and the aim of this paper is to look at the influence of electrodes and electric field simulation on partial discharge inception model prediction accuracy. Awareness of the geometric electrode configuration is important to forecast both the typology of discharge and the corresponding partial discharge inception voltage value. It is shown, in fact, that inaccurate evaluation of electrode shape (e.g., its flat part and contour) might impact significantly on electric field estimation, the typology of incepted discharges, and, thus, on model accuracy, i.e., on partial discharge inception voltage prediction, which is the basis for the partial discharge-free design of insulating materials and systems. In particular, small electrode curvature radius variations do not significantly affect the PDIV value or PD typology identification. However, worsening electrode/insulation specimen contact can significantly impact PD inception and typology evaluation.

Efficient optimization design of flue deflectors through parametric surrogate modeling with physics-informed neural networks

In engineering applications, deflectors play a vital role in regulating the uniformity of flow field distribution in the selective catalytic reduction (SCR) system, and their optimal design is a topic of great concern. However, traditional optimal design methods often suffer from insufficient prediction accuracy or too high computational cost. This paper develops and verifies an efficient and robust parametric surrogate model for SCR systems based on the physics-informed neural networks (PINNs) framework. This study comprises three progressive steps. (1) We predicted the flow field distribution in the original flue based on the PINNs framework and compared the results qualitatively and quantitatively with the traditional computational fluid dynamics (CFD) method. The results show that the maximum relative error of velocity is 12.6%, and the relative error is within 5% in most areas. (2) For the optimal design of the deflector in the SCR system, a parametric surrogate model based on the PINNs framework is developed, and the model inputs include not only the coordinate variables but also the position parameters of the deflector. The accuracy and efficiency of this parametric surrogate model are also compared with the traditional CFD method. (3) Based on the parametric surrogate model developed above, the deflector optimal position for the research object of this study is found through two quantitative indicators (uniformity coefficient and flue gas energy loss). The results demonstrate that the parameterized model based on PINNs can reduce the computational time to about 14% compared to traditional methods. Finally, the sensitivity analysis of the deflector position parameters is carried out. Overall, the results of this study demonstrate that the parametric surrogate model based on the PINNs framework is an efficient and robust tool for system optimization, design, and autonomous control.

SISTEM PENDUKUNG KEPUTUSAN PERPANJANGAN KONTRAK KERJA PEGAWAI TIDAK TETAP (PTT) MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) PADA MPR-RI

The MPR-RI is a legislative institution that was established on March 8, 1965, through the Decree of the President of the Republic of Indonesia Number 48/1965. In carrying out its duties, the MPR-RI is assisted by the General Secretariat of the MPR-RI which is a government agency under the auspices of the MPR-RI. The General Secretariat of the MPR-RI has the task of providing administrative support and expertise for the smooth implementation of the MPR-RI's powers and duties. The large number of PTTs working in the General Secretariat of the MPR-RI makes it difficult for the agency to determine the PTT contract extension because it still uses subjective judgments or is based on personal opinion. An assessment like this is certainly very inefficient because it does not have a standard assessment. So an SPK is needed for PTT performance evaluation, the problem-solving method used is the Simple Multi-Attribute Rating Technique (SMART), while the system development tools used are the waterfall model and the Unified Modeling Language (UML) as a system design tool. The result of this research is a website-based decision support system for determining PTT employment contracts.

Modelling a Loop Heat Pipe as Heat Switch for Transient Application in Space Systems

Heat switches are devices for controlling heat flow in various applications, such as electronic devices, cryogenic cooling systems, spacecraft, and rockets. These devices require non-linear transient thermal simulations, in which there is a lack of information. In this study, we introduce an innovative 1D thermo-hydraulic lumped parameter model to simulate loop heat pipes as heat switches by regulating the temperature difference between the evaporator and the compensation chamber. The developed thermo-hydraulic model uses the continuity, energy, and momentum equations to represent the behaviour of loop heat pipes as heat switches. The model also highlights the importance of some thermal conductance parameters and correction coefficients for accurately simulating the different operational states of a loop heat pipe. The simulations are conducted using the proposed 1D model, solved through the application of the Mathcad block function. The numerical model presented is successfully validated by comparing the temperatures of the evaporator and condenser inlet nodes with those of a referenced loop heat pipe from the literature. In conclusion, in this research, the mathematical modelling of loop heat pipes as heat switches is presented. This is achieved by incorporating correction coefficients with Boolean logic that results in non-linear transient simulations. The presented 1D thermo-hydraulic lumped parameter model serves as a valuable tool for thermal system design, particularly for systems with non-linear operational modes like sorption compressors. The graphical and nodal representation of this proposed 1D thermo-hydraulic model further enhances its utility in understanding and optimising loop heat pipes as heat switches across various thermal management scenarios.

SISTEM INFORMASI MANAJEMEN DOKUMEN MENGGUNAKAN METODE PROTOTYPING PADA PT. BANGUN INDAH SAPUTRA

PT. Bangun Indah Saputra is a service company that serves the process of making documents. The purpose of this study is to provide convenience in the management of document maker data. In addition, data security and accuracy are more guaranteed and human resources become more efficient. The research methodology used is Grounded Research method with data collection techniques, namely observation and literature studies that are relevant to the rental system. To build this system is used system design tools that are data flow chart (DAD) context, Zero and detail and by using Java programming language with Netbeans and MySQL database using XAMPP. This system can facilitate the work of the admin in the record so as to increase the effectiveness and consistency of the company PT. Bangun Indah Saputra

Sistem Informasi Manajemen Aset Pada SMK Negeri 5 Bungo

Sekolah Menengah Kejuruan Negeri 5 Bungo is a form of formal education unit that organizes vocational education at the secondary education level. Asset management at SMK Negeri 5 Bungo is still done conventionally, where asset data is recorded and managed using Microsoft Office, this has an impact on asset management and asset reporting is not optimal. The aim of this research is to analyze the asset management information system at SMK Negeri 5 Bungo. This research method uses observation and interview techniques. The system design tool uses the Unified Modeling Language (UML) and prototype modeling. The result is an asset management information system at SMK Negeri 5 Bungo, the process of asset procurement, asset receipt, asset placement, asset write-off and reports

RANCANG BANGUN APLIKASI PENGGAJIAN PADA PT. PERKEBUNAN NUSANTARA VII (PERSERO) SUNGAI NIRU BERBASIS WEB

PT. Perkebunan Nusantara VII (Persero) Sungai Niru Unit is a company engaged in agriculture, especially oil palm, rubber, sugarcane and tea which has parts of employee duties, the first is processing, engineering, crafts, operators, laboratories, human resources, general and warehouses. The payroll method at this company has used bank transfers, it's just that, employees have to take payslips to the company. In addition, how to make payslips still uses Mircosoft Office Excel 2010 which has to go through a long process and takes a relatively long time, and also data storage is less secure. The purpose of this study is to build an application using a website to facilitate PT. Perkebunan Nusantara VII (Persero) Sungai Niru Unit in processing employee payroll because it is well computerized and easy to use. The research method uses qualitative descriptive methods with data collection techniques in the form of observation, interviews and literature studies. This type of data consists of qualitative data as well as data sources consist of perimer and secondary data. The device development method uses the waterfall method. System design tools used are use case diagrams, class diagrams and activity diagrams. This application is built using a website with php programming language and Mysql database, as well as to print reports using pdf components.

RANCANG BANGUN APLIKASI PERHITUNGAN GAJI KARYAWAN BERDASARKAN PRESENSI KARYAWAN PADA PT EPSINDO JAYA PRATAMA PRABUMULIH BERBASIS WEB

PT. Epsindo Jaya Pratama Prabumulih is a company engaged in the manufacturing and development of Electric Submersible Pump Systems (ESPS) and Horizontal pumping systems (HPS). This equipment is widely used in the oil and gas mining industry both in Indonesia and abroad. The company is also very aware of the importance of quality human resource (HR) services to encourage company development, so it must improve its employee information system to process employee salary calculations based on employee attendance.However, the problem with this in the HR department is that it is still difficult to make employee salary calculation reports, they still use manual calculations for employee salaries, namely inputting them in Microsoft Exel. The purpose of the research is how to design and build an application for calculating employee salaries based on employee presence at PT Epsindo Jaya Pratama Prabumulih Web-Based. The research method uses a qualitative descriptive method with data collection techniques in the form of observation, interviews and literature study. The type of data consists of qualitative data and data sources consist of primary and secondary data. The device development method uses the waterfall method. System design tools used are use case diagrams, class diagrams, activity diagrams. This application was built using a website with the PHP programming language and MySQL database, and to print reports using a pdf component.

Optimal Routing to Parallel Servers in Heavy Traffic

Routing control is an important component in many engineering and management systems consisting of multiple and possibly heterogeneous servers. Imagine that upon the arrival of each job (or customer), a controller will evaluate the available (dynamic) state information and make a decision to dispatch the job to one of the servers. The state information can be queue length, arrival history, service history, and so on, depending on the nature of the application. How will the controller use the available state information to minimize the average waiting time an arriving job may experiences? In the paper, “Optimal Routing to Parallel Servers in Heavy Traffic,” Ye carries out the heavy traffic analysis to identify the routing policies that best use the available state information. For example, when there is no state information available for routing control, the best “blind” strategy is to dispatch the incoming jobs in a weighted round-robin fashion that exhibits certain form of the square-root rule. Although in the case that the job arrival history is available, the controller should use the information by closely chasing a kind of “arrival deviation,” which can reduce up to 50% of the waiting time compared with the best blind strategy. This study sheds new insights into the value of state information for routing control and provides new tools for engineering and service system design.

Determining the Feasibility of Applying Existing Criteria for Solving Operational Problems in the Design of CCTV Information Systems

Comparative analysis of the criteria for designing video surveillance information systems was conducted based on international and national CCTV standards. Their greatest differences concern identification and recognition tasks, and the smallest -– monitoring and detection. A comprehensive analysis of the impact of the technical characteristics of video cameras on the results of solving CCTV operational problems has not been carried out at this time. Therefore, the current direction of research is to determine the maximum feasibility of using the formed set of criteria. Increasing the resolution of video cameras leads to an increase in the number of pixels per meter of linear field of view. This in turn improves the display quality of the surveillance object at a greater distance from the camera. With the emergence of new information technologies, the resolution of matrices in video surveillance systems will increase. It will lead to qualitative and quantitative changes in the established set of criteria for designing of CCTV information systems. The methodology of estimation of spatial resolution of images of video surveillance information systems (CCTV) is presented in this work. The theoretical foundations for analyzing a set of technical characteristics of video cameras are confirmed by the results of computer modeling using specialized software "IP Video System Design Tool". The overall discrepancy between the calculated and modeled data does not exceed 3%. As a result, it was found that the use of a 25 MP video camera satisfies and exceeds all currently existing criteria for designing CCTV information systems for solving various types of operational tasks and the possibility of human vision. Therefore, with the cheapening and widespread use of video cameras with a resolution of over 25 MP, it will be necessary to review the feasibility of using existing criteria for designing CCTV information systems.

Open-source model applied for techno-economic optimization of a hybrid solar PV biogas-based polygeneration plant: The case of a dairy farmers’ association in central Bolivia

Proper sizing of energy systems is a key aspect that allows avoiding overestimated installation costs or failures in operation and dispatch. However, most of the available sizing tools focus on systems dedicated only to electrical loads, omitting combined energy systems with simultaneous supply of various thermal demands. This study presents an adaptation of an existing open access techno-economic optimization model for broadening the design tool for small-scale energy systems supplying both, electrical and thermal needs. For this, a new typology of an energy system was proposed considering the use of biogas, solar energy and adding thermal components. This was followed by modifying the model framework, constraints equations and objective function, which is the net present cost of the system. Once the design tool was verified a model was constructed to analyse the feasibility of a polygeneration plant for an association of 30 small dairy farms. The developed model was able to optimize the sizing of the main system components for different proposed scenarios, encompassing supply of electricity, refrigeration, biogas for cooking and fertilizers. For the selected application it was found that the aggregated cost of producing electricity and heat ranges from 0.044 to 0.070 USD/kWh; the penetration of solar energy can reach up to 32%; while the annual potential savings of CO2 emissions of applying the solution ranges from 109 to 127 ton of CO2.

Perancangan Sistem Informasi Akuntansi RAB Pemeliharaan Peralatan Dengan Microsoft Visual Studio 2010 Dan Database MySQL

The Budget Plan is one of the attributes in knowing the amount of the Budget for one accounting period. In the Realization process, the use of Planned Budget funds must be controlled continuously so that it is in accordance with what is expected when preparing the Budget Plan. Recording of the Budget Plan that is incorporated into the general accounting system will cause data discrepancies and must be revised repeatedly. A separate system with capabilities equivalent to the main system will greatly assist in processing the Budget Plan data. In this study, using MS. Visual Studio 2010 and MySQL Database as a system design tool. Based on the trial results of MS. Visual Studio 2010 is able to design a system according to the proposal, this shows that the system has worked well as expected.

On the need to go beyond bucket modelling to evaluate NBS risk of failure under urban constraints

The need to combine simple analytical solutions to control the full spectrum of stochastic events, not just extreme rainfall events related to flood risk, in order to restore the natural water cycle has led to the adoption of probability analysis (PA) as a powerful design tool for urban drainage systems. Applications of PA to sustainable urban drainage and nature-based solution (NBS) design are numerous but often rely on a bucket modelling (BM) approach to assess the efficiency of retention and detention structures.Managing urban growth and climate change requires careful attention to 1) the shape of NBSs to fit into an existing urban grid and 2) the intensity of rainfall, which is expected to increase significantly. The BM approach is insensitive to the shape of technical solutions and the variability of rainfall intensity, so the PA was revised, coupled with a hydrodynamic modelling (HM) approach and compared with previous BM-based approaches.In the low-intensity rainfall regime, HM and BM predict completely different infiltration system (IS) overflow probabilities. In the high-intensity precipitation regime, both provide a bell-shaped probability density function of overflow volumes, although BM tends to underestimate IS overflow volumes with low shape factor and overestimate IS overflow volumes with high shape factor.

Rancang Bangun Sistem Monitoring KelembapanTanah dengan Konsep Smart Farming untuk Budidaya Tanaman Cabai Rawit Berbasis Internet of Things (IOT)

The design of a Soil moisture monitoring system with the Smart Farming Concept for IoT-based Chili Cultivation is a system design tool used to monitor Soil moisture in cayenne pepper cultivation. The monitoring system can determine Soil moisture conditions by monitoring Soil moisture information using IoT-based Microcontroller technology so that farmers can monitor the growth of cayenne pepper plants without the need to come to the Greenhouse location to monitor. The design of this monitoring systemuses a Soil moisture sensor. Where the Soil moisture sensor works is to monitor in real-time the state of Soil moisture in a Greenhouse. The classification of Soil moisture on soil quality so that the growth of cayenne pepper plants does not experience problems for dry soil and 61% to 100% for wet soil. The optimal Soil moisture content for cayenne pepper plant growth is in the range of 60% to 70% moist. The program flow to create a Soil moisture monitoring system for IoT-based chili cultivation goes through 3 main stages, namely the initialization, setup, and loop stages so that it can produce a display on the Soil moisture monitoring system application in real time. The results of the design of a Soil moisture monitoring tool based on trials show the optimal Soil moisture value at an average humidity of 63.5% and automatic watering will be carried out by the system when the Soil moisture level decreases from 60% so that it can be concluded that the IoT- based Soil moisture monitoring system can work well.

A PINN Surrogate Modeling Methodology for Steady-State Integrated Thermofluid Systems Modeling

Physics-informed neural networks (PINNs) were developed to overcome the limitations associated with the acquisition of large training data sets that are commonly encountered when using purely data-driven machine learning methods. This paper proposes a PINN surrogate modeling methodology for steady-state integrated thermofluid systems modeling based on the mass, energy, and momentum balance equations, combined with the relevant component characteristics and fluid property relationships. The methodology is applied to two thermofluid systems that encapsulate the important phenomena typically encountered, namely: (i) a heat exchanger network with two different fluid streams and components linked in series and parallel; and (ii) a recuperated closed Brayton cycle with various turbomachines and heat exchangers. The results generated with the PINN models were compared to benchmark solutions generated via conventional, physics-based thermofluid process models. The largest average relative errors are 0.17% and 0.93% for the heat exchanger network and Brayton cycle, respectively. It was shown that the use of a hybrid Adam-TNC optimizer requires between 180 and 690 fewer iterations during the training process, thus providing a significant computational advantage over a pure Adam optimization approach. The resulting PINN models can make predictions 75 to 88 times faster than their respective conventional process models. This highlights the potential for PINN surrogate models as a valuable engineering tool in component and system design and optimization, as well as in real-time simulation for anomaly detection, diagnosis, and forecasting.

A strategic review: the role of commercially available tools for planning, modelling, optimization, and performance measurement of photovoltaic systems

Abstract Solar power and photovoltaic (PV) systems have become crucial components of the world’s energy portfolio. The PV systems may be engineered in a number of ways, including off-grid, on-grid, and tracking. Incorporating PV systems with traditional sources of power like diesel generators (DGs) or other renewable sources, like windmills, is possible. In this situation, developers, investigators, and experts are striving to create the best design that accommodates the load demand in regards to technological, financial, ecological, and social aspects. To assist in figuring out the best PV size and design, numerous tools, models, and heuristics were created and rolled out. The majority of the tools, models, and techniques used to build PV systems over the past 70 years were described, assessed, and evaluated in this article. It was observed that methods for optimising PV system designs evolved with time and demand. Tool design is often divided into segments such as artificial and classical, solo and hybrid approaches, and others. Hybrid approaches, nevertheless, gained prominence to become the most popular approach because of its adaptability and capacity for handling challenging issues. This paper’s evaluation also helps the readers choose a PV system design tool (approximately 46) that is suited for their needs.

ATSC 3.0, DVB-I, and TV 3.0 Services via 5G Broadcast—System Design and Reference Tools

5G broadcast brings the promise of an independent or complementary linear TV experience, which can reuse existing terrestrial broadcast infrastructure to serve high definition (HD) or 4K live content to mobile devices, possibly independent of a mobile subscription. To benefit fully from this new capability, the design of a service layer is essential, including service discovery procedures and delivery protocols over IP multicast. This article examines the set of the different standardized service layers brought by the 3GPP, Advanced Television Systems Committee (ATSC), and Digital Video Broadcasting (DVB), which could target different regions, ecosystems, or regulatory requirements. To support media service providers, a full ecosystem of tools is now emerging, including the Reference Tools from the 5G Media Action Group (5G-MAG) and the GPAC open-source solution. We will introduce the consolidated work from 3GPP and 5G-MAG to make this vision a reality, in terms of standardization and development of reference tools. We will detail how DVB-I services over 5G broadcast can now be experimented with commodity tools and commercial devices. We will also identify the potential synergies with ATSC 3.0 A/3311and the possibilities for Brazil’s TV 3.0 project,2for which Real-time Object delivery over Unidirectional Transport (ROUTE)/dynamic adaptive streaming over HTTP (DASH) is the transport layer of choice and 5G broadcast is a candidate for the physical layer.

Advanced turbulence and combustion modeling for the study of a swirl-assisted natural gas spark-ignition heavy-duty engine

Increasing demands on higher performance and lower fuel consumption and emissions have led the path for internal combustion engine development; this race is nowadays directly related to CO2 emissions reduction. To drive engine development and reduce the time-to-market, the employment of numerical analysis is mandatory. This requires a continuous improvement of the simulation models toward real predictive analyses able to reduce the experimental R&D efforts. In this framework, 1D numerical codes are fundamental tools for system design, energy management optimization, and calibration. The present work is focused on the improvement of the phenomenological turbulence model, originally conceived to describe turbulence evolution in tumble-promoting engines. The turbulence model is developed with reference to a SI heavy-duty CNG engine derived from a diesel engine. In this architecture, due to the flat cylinder head, turbulence is also generated by swirl and squish flow motions, in addition to tumble motion. The presented turbulence model is validated against 3D CFD results, demonstrating to properly predict turbulence and swirl/tumble evolution under two different operating conditions, without the need for any case-dependent tuning. The developed turbulence model is coupled to a phenomenological combustion model based on the fractal geometry theory applied to the flame front surface, where the turbulence is assumed to support flame propagation through an enhancement of the flame front area with respect to the laminar counterpart. The combustion model is validated against an extensive experimental dataset, composed of 25 operating points at different engine rotational speeds and loads. The numerical/experimental comparisons of global performance parameters are satisfactory, leading to maximum errors around ±2% for the BSFC, ±2° for the main combustion events, and ±1 bar for the in-cylinder peak pressure. Burn rate profiles are very well captured by the combustion model at changing operating conditions, not requiring any case-dependent tuning. The presented results demonstrate that the turbulence/combustion models could constitute a reliable virtual test facility, contributing to supporting and driving experimental activities.

A dynamic model as a tool for design and optimization of propulsion systems of transport means

A dynamic model as a tool for design and optimization of propulsion systems of transport means