Distributed Information Systems Research Articles

Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale

ABSTRACT As global climate change accelerates, the need for precise and high-resolution carbon emission inventories becomes increasingly urgent, particularly in rapidly developing regions. This study introduces an advanced methodology for constructing regional-scale gridded anthropogenic CO2 emission inventories, integrating the latest energy consumption data and remote sensing technologies. By systematically calculating emissions across various sectors and energy types, and utilizing Geographic Information System (GIS) for spatial distribution, we have generated a high-resolution emission map with a 1 km × 1 km grid. The accuracy of the map was validated through regression analysis with the Multi-resolution Emission Inventory for China (MEIC) dataset, ensuring its reliability. This work provides critical insights for targeted emission reduction strategies, contributing to the formulation of sustainable development policies that align with global climate objectives.

Lost in interpretation: Making sense of equivocalities and tensions in approaches to interoperability

Interoperability promotes data-driven practices by enabling the aggregation and sharing of data from distributed information systems. It thus offers potential benefits to organizations for delivering more efficient and sustainable services. Despite its potentials, achieving interoperability remains a significant challenge. In this paper, we shed light on the obscure landscape of organizational challenges that lead to low interoperability. Based on a 3-year longitudinal single-case study of a public agency’s attempts to enhance interoperability, we uncover how three major categories of equivocality – scope, needs, and priorities – hinder approaches to interoperability at the data, software, and IT levels. We also reveal that entangled organizational tensions explain why such equivocalities emerge. By analyzing interoperability challenges from the combined concepts of equivocality and tensions, this paper offers a unique perspective on their intricate nature, making sense of the obscure landscape of challenges in various approaches to interoperability.

Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models

Reproducible environmental modelling often relies on spatial datasets as inputs, typically manually subset for specific areas. Yet, models can benefit from a data distribution approach facilitated by online repositories, and automating processes to foster reproducibility. This study introduces a method leveraging diverse state-scale spatial datasets to create cohesive packages for GIS-based environmental modelling. These datasets were generated and shared via GeoServer and THREDDS Data Server connected to HydroShare, contrasting with conventional distribution methods. Using the Regional Hydro-Ecologic Simulation System (RHESSys) across three U.S. catchment-scale watersheds, we demonstrate minimal errors in spatial inputs and model streamflow outputs compared to traditional approaches. This spatial data-sharing method facilitates consistent model creation, fostering reproducibility. Its broader impact allows scientists to tailor the method to various use cases, such as exploring different scales beyond state-scale or applying it to other online repositories using existing data distribution systems, eliminating the need to develop their own.

PENERAPAN METODE SUPPLY CHAIN MANAGEMENT PADA SISTEM INFORMASI PENDISTRIBUSIAN SCRAP PT. PACIFIC MEDAN INDUSTRI BERBASIS WEBSITE

Pacific Medan Industri, a leading producer of palm oil, faces significant challenges with its scrap distribution system, which currently relies on manual processes. This manual system has been identified as having several major issues, including inaccuracies in data recording and management, delays in the shipping process, and ineffective coordination between various units within the supply chain. These issues not only lead to low operational efficiency but also risk disrupting customer satisfaction and diminishing the company's competitive edge in an increasingly competitive market. This study aims to address these problems by optimizing the scrap distribution system through the application of Supply Chain Management (SCM) principles. Using a qualitative approach that includes literature review, in-depth interviews with stakeholders, and relevant documentation analysis, this research explores the various weaknesses present in the current manual scrap distribution system. The analysis reveals significant shortcomings, such as inefficiencies in data management, lack of integration between units resulting in poor coordination, and slow shipping processes that hinder productivity and customer satisfaction. As a solution, the study proposes the development of a SCM-based information distribution system. This system is designed to address the identified weaknesses by leveraging current technology to automate distribution processes, improve data accuracy, expedite shipping times, and enhance communication and coordination between units in the supply chain. The implementation of this system is expected to enhance overall operational efficiency, improve scrap management, and ensure better coordination across the entire supply chain. It is anticipated that PT. Pacific Medan Industri will benefit from increased operational efficiency, improved customer satisfaction, and a strengthened competitive position in the market through the adoption of this SCM-based information distribution system. Keywords: Supply Chain Management, Scrap, PT. Pacific Medan Industri.

Socialization and Assistance in the Implementation of Social Assistance for the Dalegan Village Community, Gresik Regency

One of the government's efforts to improve the welfare of the Indonesian people, especially for people living below the poverty line, is the social assistance program. However, some people cannot utilize the social assistance program effectively due to a lack of understanding and access to information about the program. The purpose of community service activities is to increase public awareness and understanding of the various types of social assistance available so that community service activities can help the community in the process of applying for and receiving social assistance. It is expected that the social assistance program will be distributed on target through an approach and assistance involving village officials, community leaders, and direct assistance to village communities. Direct assistance to village communities can also be carried out to ensure that the social assistance distribution information system runs well. The results of community service activities can improve the welfare of village communities, reduce social disparities, increase the transparency of social assistance data, and improve the ability of village officials to manage social assistance. Community service activities can be a model for other villages in managing social assistance.

Distribution Information System at Rani Motor Workshop with DRP Method to Improve Sparepart Delivery Timeliness

Distribution Information System at Rani Motor Workshop with DRP Method to Improve Sparepart Delivery Timeliness

Novel approach for forest road maintenance using smartphone sensor data and deep learning methods

ABSTRACT High costs primarily pose challenges to forest management in planning and executing the repair of forest roads. With budget limitations and inadequate oversight, it has become critically essential to monitor the state of these roads. Monitoring the condition of forest roads has become imperative, driven by budget constraints and a lack of effective supervision. While smartphones have proven effective in detecting road defects on public roads, their application on forest roads is hindered by the absence of suitable indices and software infrastructure. Addressing this gap, this research focuses on the development of the Forest Road Pavement Condition Index (FRPCI) to facilitate smartphone-based monitoring. We collected and compared data from 4 kilometers of forest roads, employing two traditional harvesting methods alongside smartphone sensor data. Utilizing deep learning methods, including Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM), and CNN-LSTM, we processed the collected data. Signal processing using GPS data, coupled with wavelet transformation, demonstrated promising results with an accuracy and recall exceeding 80%. The proposed system functions as a distributed information system, transitioning data from organizational mode to field mode. It measures damage, assesses forest road conditions, and leverages image processing and GPS technologies. This monitoring system technology offers capabilities for preparing, storing, updating, maintaining, and analyzing diverse information. Importantly, adopting this method can significantly reduce operating costs, making forest road monitoring for maintenance purposes more feasible.

The method of assessing the effectiveness of the security of confidential data of the distributed information system

The paper proposes a method of assessing the effectiveness of the security of confidential data of a distributed information system, based on a model for determining the current threats to the security of confidential data in the information system, on algorithms of fuzzy inference and the theory of fuzzy neural systems, unlike known ones, it uses sufficient and necessary indicators, excludes expert errors , increases the detection of actual threats to the security of confidential information system data by 5%, reduces the cost of purchasing information protection tools from 15 to 30%. It takes into account the following factors: the IT infrastructure of the distributed information system, the capabilities of attackers and their level of motivation in the information system. The proposed approach differs from existing ones by an automated process, the need to involve highly qualified specialists in the field of information security, and low computational complexity; absence of deficiencies in expert assessments; allows you to determine the list of current information security threats in information systems of various classes and types. The task of ensuring the security of confidential data is urgent, which is due to the growth of computer attacks and leaks of information, which are reflected in the statistical data on the commission of crimes in the field of high technologies, the growth of criminal activity using modern communication devices and the Internet. The existing methods of identifying current threats to information security and assessing the effectiveness of the security of confidential data cannot be used at all stages of the life cycle of distributed information systems, they do not take into account the following indicators in the complex: IT infrastructure of distributed systems, current threats to information security, security requirements of confidential data, their cost as important indicators when solving these problems. One of the most important tasks of ensuring the security of confidential data is the evaluation of the effectiveness of the protection system. In this regard, the goal of the research is to improve the quality of the assessment of the effectiveness of the security of confidential data of a distributed information system by determining sufficient and necessary indicators using modern information technologies, which allow the most effective solution of the following tasks: determining the parameters of the adaptive production fuzzy neural systems, which most suitable for solving the tasks, the application of Data Science technologies in data processing, algorithms of fuzzy output.

Identifying Communication Flow in the Development of Apartment Project X to Enhance Time Performance

This research aims to develop a risk-based communication flow in apartment projects with a focus on improving time performance. The methods employed include surveys and case studies, with data collected through the creation and distribution of questionnaires to experts, along with an analysis of results conducted by Company X. The findings indicate that the communication flow implemented at PT. X has proven to be valid and effective. However, several factors hinder the smooth communication flow, such as inadequate planning and scheduling of work, insufficient communication due to mismatched methods and technologies, inefficient information distribution systems, inadequate project budget planning, lack of resources, incomplete scheduling of time and resources, inappropriate listening and speaking skills, lack of empathy among parties, inadequate facilities and infrastructure, emotional conditions, and lack of mastery of communication techniques. Based on these findings, several actions are recommended to enhance communication flow, including improving planning and scheduling of work, using communication methods and technologies appropriate to field conditions, improving information distribution systems, ensuring project budget planning availability, increasing resources, creating comprehensive time and resource planning, enhancing listening and speaking skills, improving empathy among parties, upgrading facilities and infrastructure, controlling emotional conditions, and enhancing mastery of communication techniques. By implementing these recommendations, it is hoped that the communication flow in apartment projects can operate more effectively and efficiently, thereby improving overall project time performance.

МОДЕЛЮВАННЯ ВЗАЄМОДІЇ В РОЗПОДІЛЕНИХ ІНТЕЛЕКТУАЛЬНИХ ІНФОРМАЦІЙНИХ СИСТЕМАХ МЕТОДАМИ АВТОМАТИЧНОГО ПЛАНУВАННЯ

This paper delves into the intricacies of resource management and task scheduling within distributed information systems, aiming to propose a processing flow for effective coordination and information exchange among system components. The research focuses on the coordination of actions and information exchange within distributed intelligent systems, highlighting the issues stemming from asynchronous operations, resource management complexities, and the necessity to adapt to dynamic environmental conditions. By leveraging these challenges, the study presents results showcasing the impact on task execution delays, suboptimal resource utilization, and overall system performance degradation. Through experimentation, it underscores the complexity inherent in coordinating distributed intelligent systems and emphasizes the need for an efficient synchronization mechanism. The proposed approach aims to mitigate these challenges, offering insights into modeling, automatic planning, and optimization within information systems. Context. The paper focuses on addressing the challenges associated with resource management and task scheduling in distributed information systems. Objective. The purpose of the work is to propose the processing flow for coordination and information exchange between different components of distributed intelligent systems. Methods. The paper presents the research results about coordination of actions and information exchange between components of distributed intelligent systems. These problems can lead to delays in the execution of tasks, inefficient use of resources, and a general decrease in system performance. These difficulties are caused by a variety of factors, including the asynchronous operation of components, the complexity of resource management, and the need to adapt to changing environmental conditions. In current research, we utilized the asynchronous operation of components, the complexity of resource management, and the need to adapt to changing environmental conditions. Results. The paper presents the research results about coordination of actions and information exchange between components of distributed intelligent systems. Conclusions. The experiments confirmed the complexity of coordination and information exchange between these components, which can lead to delays in the execution of tasks, under-optimized use of resources and a general deterioration in system performance. This research was aimed at developing an effective way to sync and coordinate distributed intelligent information systems, including the asynchronous operation of components, the complexity of resource management, and the need to adapt to changing environmental conditions

Requirements Engineering for Integrated Social Assistance Distribution Information Systems Using a Microservices Architecture Approach

Requirements Engineering for Integrated Social Assistance Distribution Information Systems Using a Microservices Architecture Approach

Telemetry to solve dynamic analysis of a distributed system

In the modern software development world, implementing distributed solutions has become quite common due to the flexibility it brings to big companies. The downside is that when developing such systems, especially in many teams, global design problems may not be obvious and lead to a slowdown in the development process or even problems with the location of errors or degradation of overall system performance. In addition, the timely reaction to system degradation is complicated by the distributed nature of the architecture; while manually configuring rules for reporting problematic situations can be time-consuming and still incomplete, automatic detection of possible system anomalies will give engineers (especially Software Reliability Engineers) the focus on problems. For this reason, applications that can dynamically analyse the system for problems have great potential. Currently, the topic of using telemetry for system analysis is actively studied and gaining traction, so further research is valuable. The work aims to theoretically and practically prove the possibility of using telemetry to analyse a distributed information system and detect harmful architectural practices and anomalous events. To do this, firstly, a detailed overview of the problems related to the topic and the feasibility of using telemetry is provided; the next section briefly describes the history of the development of monitoring systems and the key points of the latest OpenTelemetry standard, reviews popular application performance monitoring systems, and defines innovative features to be further researched. The main part includes an explanation of the approach used to collect and process telemetry, a reasoning behind the usage of Neo4j as a data storage solution, a practical overview of graph theory algorithms that help in the analysis of the collected data, and a description outlining how the PCA algorithm is employed to detect unusual situations in the whole system instead of individual metrics. The results provide an example of using the software presented with Neo4j Bloom to visualise and analyse the data collected over several hours from the OpenTelemetry Demo test system. The last section contains additional remarks on the results of the study.

Fault Location Method Based on Dynamic Operation and Maintenance Map and Common Alarm Points Analysis

Under a distributed information system, the scale of various operational components such as applications, operating systems, databases, servers, and networks is immense, with intricate access relationships. The silo effect of each professional is prominent, and the linkage mechanism is insufficient, making it difficult to locate the infrastructure components that cause exceptions under a particular application. Current research only plays a role in local scenarios, and its accuracy and generalization are still very limited. This paper proposes a novel fault location method based on dynamic operation maps and alarm common point analysis. During the fault period, various alarm entities are associated with dynamic operation maps, and alarm common points are obtained based on graph search addressing methods, covering deployment relationship common points, connection common points (physical and logical), and access flow common points. This method, compared with knowledge graph approaches, eliminates the complex process of knowledge graph construction, making it more concise and efficient. Furthermore, in contrast to indicator correlation analysis methods, this approach supplements with configuration correlation information, resulting in more precise positioning. Through practical validation, its fault hit rate exceeds 82%, which is significantly better than the existing main methods.

Model of current threats to security of confiden-tial data in divisional information systems

The paper proposes a model for determining actual threats to the information security of distributed information systems, based on algorithms of fuzzy inference and the theory of fuzzy neural systems, unlike known ones, uses sufficient and necessary indicators, excludes expert errors, increases the detection of the number of actual threats to information security of distributed systems by 5 %, reduces the cost of purchasing information protection equipment from 15 to 30%. It takes into account the following factors: the IT infrastructure of the distributed information system, the capabilities of attackers and their level of motivation in the distributed information system, the list of existing protection tools in the distributed information system.
 The proposed approach differs from existing ones in the following: lack of involvement of highly qualified specialists in the field of information security; the process is automated, has a low computational complexity; absence of deficiencies in expert assessments; allows you to determine the list of current information security threats in information systems of various classes and types.
 The task of ensuring the security of confidential information becomes the most urgent, which is due to the growth of computer attacks and leaks of information, which are reflected in the statistical data on the commission of crimes in the field of high technologies, the growth of criminal activity using modern communication devices and the Internet.
 Existing methods of modeling current threats to information security and assessing the effectiveness of the information protection system cannot be used at all stages of the life cycle of distributed information systems - they do not take into account the following indicators in the complex: IT infrastructure of distributed information systems, current threats to information security, security requirements for confidential information, a list of means of protecting confidential information and their value as important indicators when solving these problems.
 In order to achieve the goals of ensuring the security of confidential information, it is necessary to: organize the effective creation of an information protection system (information security system), effective modeling (identification of the list) of current threats to information security, identification of the current violator, and also provide the opportunity to conduct a qualitative assessment of the effectiveness of the information security (protection) system.
 One of the most important tasks of ensuring the security of confidential information is the assessment of the effectiveness of the protection (security) system. In this regard, the goal of the work (research) is to improve the quality of the evaluation of the effectiveness of the protection (security) systems of distributed information systems by determining sufficient and necessary evaluation indicators using modern (promising) information technologies that allow the most effective solution of the following tasks: determination operating parameters of adaptive production fuzzy neural systems, which are most suitable for solving the tasks, application of Data Science technologies in data processing, fuzzy output algorithms.

Didactic and interactive project with PIC microcontroller and CAN network for temperature and luminosity control

This work presents the development of a didactic and interactive project, composed of four distinct modules: the first module is used for reading and controlling temperature; the second module, for reading and controlling luminosity; the third module is an RS232/CAN serial interface; The fourth module has a transceiver for serial communication between a personal computer and the network. The first, second, and third modules were built using PIC18F4580 microcontrollers with integrated CAN and were programmed in C language using the MikroC integrated development environment. The software for serial communication between the microcomputer and module III was written in Object Pascal language using the Delphi programming environment. Serial communication tests were performed between the microcomputer and the third module, obtaining positive results in data acquisition and transfer and command exchange through the CAN network, demonstrating a distributed data system among the modules on the bus.

Kondisi Sistem Informasi Geografis Terhadap Jumlah Ternak Di Kabupaten Pati Tahun 2013 Dan 2014 Berbasis Webgis

Abstract. Most of the livestock in Pati are still smallholder farms and are not yet large companies. Pati Regency is a support for national beef production, not only for Pati cattle production, but also as a producer of ducklings, chickens and dairy cows. This WEBGIS-based livestock distribution information system in each region was created to support or make it easier for the government and the public to find out developments in the number of livestock products in Pati Regency. There are various sub-districts where livestock output is low due to climatic conditions, feed supply, economic stability for breeders, as well as environmental changes and urbanization. With data on the distribution of livestock products obtained from the Pati Regency BPS data from 2013 and 2014, it is made based on WEBGIS which is able to present distribution information in the form of tables per sub-district and the areas that produce the most livestock.
 
 Keywords: Distribution of Livestock Products in Pati Regency, WebGIS).

Development of Fish Distribution Information System for Digital Virtual Assitant based on Harvesine with LoRA Node

The pressing issue of suboptimal and inefficient traditional fishing practices among local communities. Traditional fishermen often operate with inadequate equipment, resulting in less-than-optimal fishing outcomes. In this context, the lack of modern tools and techniques hinders the effectiveness of fish capture. Addressing these challenges is crucial for enhancing the productivity and sustainability of traditional fishing practices. The study aims to develop an advanced Fish Distribution Information System tailored for a Digital Virtual Assistant using the Haversine method and LoRA nodes. This system provide instantaneous, location-specific details about fish distribution and involves designing a data logger serving as repository for travel histories, utilizing a website as the user interface interfacing with a Leaflet map in a Geographic Information System (GIS). The Haversine method is employed for precise distance computations between LoRA Gateway, information about fish distribution, and unfavorable weather conditions within the specified area. the resukt show that The distance displayed on the website with the haversine method with excel calculation comparison produces an error calculation of 0.157%, while the percentage error for GPS latitude accuracy is 0.000116% and longitude percentage is 0.000002%. RSSI performance at LoRA ranges from -57dBM at a distance of 50m and -121dBM at a distance of 1500m.

User Acceptance Testing through Blackbox Evaluation for Corn Distribution Information System

Corn Distribution Information System in Bandar Lampung has witnessed a significant surge in interest, highlighting the importance of ensuring system reliability and functionality. This research endeavors to investigate and enhance these aspects through the application of the black box testing approach, focusing on the user-centric perspective of User Acceptance Testing (UAT). Black box testing, a methodology emphasizing system functionality without delving into internal structures, is complemented by UAT to provide comprehensive evaluation. In executing 27 study cases to evaluate the system, 22 patients demonstrated proper functionality, while 5 issues were identified. Notably, 4 issues pertained to the unavailability of the export function to CSV, and 1 patient encountered difficulties with road letter generation facilities. The discussion elucidates that UAT through Black Box proves to be a valuable approach, effectively bridging the methodological gap of traditional black box and providing insightful input from end users. Furthermore, this methodology successfully identified 5 focal points that can serve as development suggestions for the company's system, previously undiscovered. In conclusion, the study underscores the efficiency of integrating UAT with black box in enhancing Corn Distribution Information System's dependability and functionality. Identified issues shed light on areas for improvement, emphasizing the need for ongoing research in system testing methodologies. Future studies are recommended to explore the integration of UAT with white box testing, iterative testing for bug identification, and comprehensive security testing within the system network. This approach ensures a holistic evaluation, addressing potential limitations and contributing to the continuous refinement of the information system.

Методика организации процесса мониторинга распределенных информационных систем

This article is devoted to the methodology of organizing the process of monitoring of distributed information systems. The article considers the general concept of building the process of information security monitoring. Special attention is paid to such disadvantages of distributed systems as problems of system administration, problems of limited scalability of distributed systems and problems of software portability. It was concluded that at present there is no unified approach to eliminate these disadvantages when building a monitoring process. The model of decentralized distributed system for which the methodology of monitoring process organization is developed is given. Three approaches to the organization of monitoring process of distributed information systems are described, namely the organization of monitoring of network activity of information system, the organization of monitoring of host activity of information system and mixed approach. The mixed approach based on monitoring of network and host activity is used in the methodology. The process of prioritization of sources of information security events is considered, which includes the assessment of IS risks, identification of actual IS threats and identification of critical assets of the organization. As a result, a methodology for organizing the process of monitoring distributed information systems is proposed, which consists of four stages: risk calculation, identification of actual threats, prioritization of information security event sources and connection of selected sources to the information security event monitoring system.

Power Supply Reliability Analysis of Distribution Systems Considering Data Transmission Quality of Distribution Automation Terminals

A distribution automation system is the integration of physical power distribution systems and information systems. Its information system guarantees the safe operation and reliable power supply of physical systems by monitoring, collecting and transmitting information. In the information system, the remote terminal unit of distribution automation is the hub of the information system, connecting it to the physical power system. Considering the unreliability of terminal information transmission in the information system, this paper aims to build a model to quantitatively evaluate the impact of unreliable transmission information on the power supply reliability of distribution systems. Firstly, the m-segment and n-connection unit model of distribution feeders is established, and then, the power supply reliability indices in the process of handling feeder terminal unit error are analyzed and calculated under the configuration modes of “three-remote” and “two-remote” of remote terminals. Then, considering the impact of a transmission error in the information system, the reliability index calibration model under the condition of unreliable information transmission is established. Finally, a case study is presented to illustrate how the proposed model is implemented.