Public Information Management Research Articles

Agile Governance Public Information Management at the Communication, Informatics, and Statistics Service of Riau Province

This study aims to analyze the implementation of agile governance in public information management at the Riau Province Communication, Informatics and Statistics Service (Diskominfotik). Agile governance is a governance approach that emphasizes flexibility, responsiveness, and rapid collaboration in providing public services. The research method used is qualitative descriptive with an explanatory approach. Data collection was carried out through observation, interviews, and document studies analyzed using Nvivo 14 software. The results of the study indicate that the implementation of agile governance at Diskominfotik Riau is still faced with a number of obstacles, including limited knowledge and capacity of human resources (HR) in understanding the concept and a bureaucratic structure that does not fully support flexibility. In addition, performance evaluations that are not yet based on quick wins slow down the adaptation process. Nevertheless, Diskominfotik Riau has utilized various digital platforms to provide access to public information, although improvements need to be made in terms of responsiveness and timeliness of service. Recommendations from this study include increasing training for HR, implementing a more flexible governance model, and periodic evaluations based on short-term results. The implementation of agile governance is expected to improve the quality of public services and strengthen public trust in government transparency.

Habitat Suitability of Ixodes ricinus Ticks Carrying Pathogens in North-East Italy.

Ixodes ricinus ticks are ubiquitous in Europe, including in North-East Italy. These ticks are important vectors of several zoonotic pathogens of public health relevance. In this study, the habitat suitability range of I. ricinus ticks infected with zoonotic pathogens was predicted in North-East Italy, and relevant spatial predictors were identified. In 2015-2021, ticks were collected at 26 sampling sites in the study area. The collected ticks were screened for the presence of pathogens using PCR assays. For Borrelia, Rickettsia and Anaplasma/Ehrlichia species, data allowed for ecological niche modelling using Maxent. Environmental determinants potentially related to tick habitat suitability were used as model inputs. Predicted suitable habitat distributions revealed hotspots of the probability of pathogen presence in I. ricinus ticks mainly in the central and upper parts of the study area. Key environmental predictors were temperature, rainfall and altitude, and vegetation index for specific pathogens (Rickettsia and Anaplasma/Ehrlichia species). Increased risk of exposure to tick-borne pathogens upon tick bites in the predicted hotspot areas can, therefore, be expected. This provides useful information for public health risk managers in this and other similar regions.

Decay kinetics of human-associated pathogens in the marine microcosms reveals their new dynamics and potential indicators in the coastal waters of northern China

Pathogens in coastal waters cause infectious diseases and endanger public sanitation safety in humans and animals worldwide. To avoid these risks, timely detection of human-associated pathogens in waters is crucial. In this study, the decay kinetics of the molecular markers for human-associated pathogens, including enteric bacteria (Escherichia coli, Enterococcus, and Bacteroides), non-enteric bacteria (Staphylococcus aureus), crAssphage, and polyomavirus, were monitored over time at different temperatures and background microbes in seawater microcosms. The results indicated that temperature and native marine microbes were the main influential factors in attenuating bacterial pathogens. Remarkably, the effect of native microorganisms was more evidentially striking. Furthermore, Enterococcus was a more reliable and suitable fecal indicator bacterium than E. coli for the marine environment. The decay of crAssphage was like that of polyomavirus, indicating that it may be a good indicator of enterovirus in seawater. More importantly, the 16S amplicon sequencing data highlighted the decay kinetics of multiple bacterial pathogens in parallel with the dynamic changes of the whole bacterial communities. This study provides valuable information for public health risk management and a new approach to understanding the fate of bacteria in the coastal environment.

Pengelolaan Informasi dan Dokumentasi Sebagai Basis Pemenuhan Keterbukaan Informasi Publik

Achieving transparent public information access services requires good information management and documentation. For this reason, it is necessary to study the role of information and documentation management officials in supporting the realization of public information openness. This research uses a qualitative approach by applying interview, observation and documentation methods. The results of this research show that to realize openness of public information, information and documentation management officials at UINJ carry out the role of coordinating, documenting information, verifying information, testing consequences, updating information, and providing information to the public. To support the achievement of these roles, PPID UINJ refers to standard operating procedures and implementation of evaluations. However, the results of this research also show that the implementation of public information has not been optimal due to barriers to mindset regarding openness of public information and technical obstacles. Theoretically, the results of this research show that success in realizing public information openness is not only through fulfilling the indicators of the role of officials but also through changing the mindset of stakeholders and supporting work units in the work environment as a whole

Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru

<abstract><p>The rise in global ozone levels over the last few decades has harmed human health. This problem exists in several cities throughout South America due to dangerous levels of particulate matter in the air, particularly during the winter season, making it a public health issue. Lima, Peru, is one of the ten cities in South America with the worst levels of air pollution. Thus, efficient and precise modeling and forecasting are critical for ozone concentrations in Lima. The focus is on developing precise forecasting models to anticipate ozone concentrations, providing timely information for adequate public health protection and environmental management. This work used hourly O$ _{3} $ data in metropolitan areas for multi-step-ahead (one-, two-, three-, and seven-day-ahead) O$ _{3} $ forecasts. A multiple linear regression model was used to represent the deterministic portion, and four-time series models, autoregressive, nonparametric autoregressive, autoregressive moving average, and nonlinear neural network autoregressive, were used to describe the stochastic component. The various horizon out-of-sample forecast results for the considered data suggest that the proposed component-based forecasting technique gives a highly consistent, accurate, and efficient gain. This may be expanded to other districts of Lima, different regions of Peru, and even the global level to assess the efficacy of the proposed component-based modeling and forecasting approach. Finally, no analysis has been undertaken using a component-based estimation to forecast ozone concentrations in Lima in a multi-step-ahead manner.</p></abstract>

The Role of Public Management Information System in The Organization of Nagari Government III Koto Aur Malintang Government

A management information system is an absolute necessity in every organizational body. Having a management information system is very helpful in carrying out the work processes of the organization or agency itself so that in the end it can work effectively, efficiently and as expected. The purpose of this research is to determine the role and efforts made by nagari in implementing digital nagari, this is done to increase the capability of nagari apparatus in providing services to the community. This research uses a qualitative method where the results obtained are descriptive data written based on sources obtained from books, journals, articles and the Nagari website. From the research carried out, it was found that the results of the discussion were that the use of information and communication technology must also be followed by the nagari government because the nagari is the spearhead of services that directly relate to the community so that work becomes more effective, efficient and able to fulfill the principles of information disclosure that have been mandated by the Openness Law. Public Information Number 14 of 2008. Efforts that can be made by nagari are by creating an official nagari website and an online sipena application which is useful for providing information effectively and efficiently to the public.

Blockchain and digital governance: Decentralization of decision making policy

AbstractBlockchain is gaining popularity as a potential solution for the decentralized management of public information. A number of interesting solutions have been proposed by independent developers around the world to promote blockchain as a promising platform to potentially accelerate democratic processes and achieve certain public values in reforming digital governance. This could be reflected in facilitating direct citizen participation in digital politics, promoting greater civic cooperation and engagement in political discussions, boosting the role of civic commentary and even collaborative decision‐making in e‐government. In this regard, the article critically elaborates on the potential of this technology to promote political dimensions of public sector reforms in a post‐positivist manner, resorting to the analysis of concrete e‐participation cases in a number of public areas where the potential has already been realized and the opinions of professional software developers who are currently engaged in building various blockchain‐driven data management solutions in the e‐government area. This paper identifies, debates, and draws on what benefits and risks public policy can yield from the implementation of blockchain governance.

The incidence of Ph-negative chronic myeloproliferative neoplasms in Belarus

Introduction. Ph-negative myeloproliferative neoplasms (MPN) are chronic clonal disorders characterized by the proliferation of mature cells from one or more myeloid cell lines. These disorders include polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The incidence of classical Ph-negative MPN varies significantly throughout the world. These differences may be due to geographical or population features, as well as due to differences in methods of diagnosis and recording. Aim: to determine incidence of Ph-negative MPN in Belarus. Materials and methods. Data on all cases of newly diagnosed Ph-negative MPNs (PV, ET and PMF) for 2014-2018 were collected from central regional medical institutions with a hematology specialization. Population epidemiological analysis of incidence was carried out by determining crude incidence rates per 100 000 population per year with distribution by genderand age groups at diagnosis, age-standardized rates, as well as average annual percent change. Results. The overall annual standardized incidence rate of classical Ph-negative MPN in Belarus was 1.96 (1.86–2.07), PV — 0.93 (0.86–1.01), ET — 0.63 (0.57–0.70) and PMF — 0.40 (0.36–0.45) per 100 000 population per year, respectively. The overall crude incidence rate was 3.26 (3.10–3.43) per 100 000 population. The crude incidence rates increased steadily with the increase in age of patients with a peak value of 12.78 (10.97–14.81) in the age group of 70–74 years. No significant changes were revealed in the overall incidence of the MPN and for each of the studied diseases separately during the study period. Conclusion. For the first time the nationwide features of incidence of the Ph-negative MPN in Belarus were estimated, which made it possible to provide substantial information for public health management. The incidence of MPN in Belarus is generally comparable to the levels determined in the analysis of the populations of other countries.

Implementation of public information disclosure policy in the house of Representatives of the Republic of Indonesia

Purpose: This study aims to identify how the implementation of the public information disclosure policy in the House of Representatives (DPR) in 2019-2021 is going and to find the right strategies to be implemented so that the DPR can become an informative public body.
 Research methodology: This research uses a qualitative descriptive method with a case study approach, where primary and secondary data are obtained through in-depth interviews with predetermined key informants, field observations, and literature studies relevant to the research topic.
 Results: The findings show that the implementation of public information disclosure policy in Parliament is still not optimal due to various obstacles in the process of documenting, classifying, managing, and serving public information that are technical, administrative, bureaucratic, and political in nature. DPR needs to start building and developing an internal big data system that is connected to real time public information management and service applications. In addition, the active role of Members and factions in the House in providing public information is also important to support the successful implementation of public information disclosure in the House.

Sustainability assessment in cities in the eastern amazon

AbstractIndicators are important tools that help monitor and assess sustainability, providing crucial information for public management. This study aimed to analyze the behavior of municipalities in eastern amazon (State of Pará), through sustainability indicators that cover social, economic, environmental and basic sanitation dimensions, applying the statistical method of multivariate analysis. For the selection of indicators, a checklist of academic papers on sustainability was carried out. For the composition of the clusters, the Ward method was applied. To validate the number of groups, the Pakhira‐Bandyopadhyay‐Maulik (PBM) index was used, obtaining 2 groups for the sanitation and general dimensions, 3 for environmental and social and 7 groups for economic. In this study, it was possible to demonstrate that several municipalities have deficiencies related to access to water supply and mainly sewage collection and treatment, causing various consequences for the population, as they do not comply with the commitments of the Sustainable Development Goals.

Communication Strategy of the Provincial Government of North Sumatra Through Instagram Accounts @pemprovsumut in Increasing the Positive Image of the Provincial Government of North Sumatra

The purpose of this study was to find out how the communication strategy implemented by the Provincial Government of North Sumatra in forming a positive image through Instagram social media @pemprovsumut and the obstacles encountered in carrying out this communication strategy. This study uses the constructivism paradigm with a qualitative descriptive approach. Data collection techniques were carried out through in-depth interviews, non-participatory observation, and document/library study collection. An important finding of this study is that the North Sumatra Province Communication and Information Service has carried out a communication strategy that includes (1) Establishing communicators, (2) Establishing targets, (3) Establishing work teams, (4) Establishing message delivery mechanisms, ( 5) Dissemination of communication media, and (6) preparation of an activity schedule (schedule). The six strategies are efforts to increase a positive image in society. However, the communication strategy implemented by the North Sumatra Province Communication and Information Service is still not effective enough to enhance a positive image. Some of the problems faced are budget constraints, professionalism and limited human resources, the function of the e-Government Service Division as manager of the @pemprovsumut Instagram admin which is not yet optimal, the competence of the leadership and members in understanding communication on social media is not yet good, and the lack of coordination and synergy between the e-Government Service Sector and the Public Information Management Sector in terms of providing up to date information.

Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study

One of the barriers to performing geospatial surveillance of mosquito occupancy or infestation anywhere in the world is the paucity of primary entomologic survey data geolocated at a residential property level and matched to important risk factor information (e.g., anthropogenic, environmental, and climate) that enables the spatial risk prediction of mosquito occupancy or infestation. Such data are invaluable pieces of information for academics, policy makers, and public health program managers operating in low-resource settings in Africa, Latin America, and Southeast Asia, where mosquitoes are typically endemic. The reality is that such data remain elusive in these low-resource settings and, where available, high-quality data that include both individual and spatial characteristics to inform the geospatial description and risk patterning of infestation remain rare. There are many online sources of open-source spatial data that are reliable and can be used to address such data paucity in this context. Therefore, the aims of this article are threefold: (1) to highlight where these reliable open-source data can be acquired and how they can be used as risk factors for making spatial predictions for mosquito occupancy in general; (2) to use Brazil as a case study to demonstrate how these datasets can be combined to predict the presence of arboviruses through the use of ecological niche modeling using the maximum entropy algorithm; and (3) to discuss the benefits of using bespoke applications beyond these open-source online data sources, demonstrating for how they can be the new “gold-standard” approach for gathering primary entomologic survey data. The scope of this article was mainly limited to a Brazilian context because it builds on an existing partnership with academics and stakeholders from environmental surveillance agencies in the states of Pernambuco and Paraiba. The analysis presented in this article was also limited to a specific mosquito species, i.e., Aedes aegypti, due to its endemic status in Brazil.

Research on Influencing Factors of Public Opinion Information Forwarding Behavior of Generation Z Group

[Purpose/Significance] With the continuous development of network technology, the ways of information dissemination become more and more diversified, and the threshold of information dissemination becomes lower and lower. This not only facilitates people's life, but also brings information fog, information polarization and other problems, causing great harm to the network environment. Through the research on the forwarding behavior of Z generation group's public opinion information, this study finds out the influencing factors, so as to help relevant departments improve the network environment and put forward new ideas for the management and control of online public opinion information. [Method/Process] In this study, through questionnaire survey and semi-structured interview, a sample survey was conducted on the "group in Hefei, and the grounded theory was analyzed with the help of Nvivo12 software. A comprehensive research model of influencing factors of public opinion information forwarding behavior of Generation Z group was constructed, and the characteristics of Generation Z group were analyzed. [Result/Conclusion] The research shows that information content mediates the attributes of information receivers. The intermediary role of consumers' internal state in the process of e-commerce anchor attribute influencing consumers' online purchase intention; The external environment plays a regulatory role in the transmission chain of public opinion information.

Design Theory for Societal Digital Transformation: The Case of Digital Global Health

With societal challenges, including but not limited to human development, equity, social justice, and climate change, societal-level digital transformation (SDT) is of imminent relevance and theoretical interest. While building on local-level efforts, societal-level transformation is a nonlinear extension of the local level. Unfortunately, academic discourse on digital transformation has largely left SDT unaccounted for. Drawing on more than 25 years of intensive, interventionist research engagement with the digital transformation of public healthcare information management and delivery in more than 80 countries in the Global South, we contribute to theorizing SDT in the form of a design theory consisting of six interconnected design principles. These design principles articulate the interplay and tensions of accommodating over time increased diversity and flexibility in digital solutions, while simultaneously connecting local, national, and regional/ global efforts.

Creating a Public Information Management System to Drive Riga a Smart Sustainable Tourism Destination in the Post Pandemic Era of Digital Revolution

Purpose of the article: There are at two-folds, i.e. creating a public information management system and driving the City of Riga towards a smart sustainable tourism destination with a value-created tourism digital business model in the post pandemic era.Method: It is grounded by literature review and conceptual framework construction, and the information management system for Riga is established based on the needs of developing Riga into a smart sustainable tourism destination.Scientific aim: The aim is to identify factors of a public information management system which is storing and processing massive data with information and communication technologies (ICTs), and to illustrate factors of smart sustainable tourism destinations.Findings: These include the establishment of a framework of public information management system for Riga city, with supporting information and communication technologies (ICTs), as well as uncovering dimensions and outcomes of smart sustainable tourism destinations. The Riga public information management system will promote the city as a smart sustainable tourism destination. The dimensions of a smart tourism destination are presented, namely, smart economy, smart environment, smart governance, smart living, smart mobility, and smart people. The governance aspects include city governance, environ-urban configuration, socio-institutional structure and techno-economic, while social, environmental and economic issues are stressed.Conclusions: We present a framework of a public information management system containing functions of storing and processing massive data with six ICTs, and revealing three indicators, people, technologies, and governance, for Riga as a data-driven smart sustainable tourism destination.

GIS Multicriteria decision making model for traffic accidents management

Objective: this study suggests a multicriteria model for decision-making assistance that, by using spatial representation, can provide decision aid for the traffic management process in a county, hence facilitating improved decision-making. The decision-making process can be supported by multicriteria decision aid technologies and geographic information systems (GIS). Methodology/Approach: A multicriteria decision-making model is developed to categorize the city's roads according to their importance to the population's safety. For classification, the PROMSORT method (PROMETHEE Sorting) is proposed, and the results are reflected in the GIS. Results: It presents a numerical application for the city of Mossoró/RN, rating the roads and providing information for public managers' decision-making. Limitations: the model application is contingent upon the efforts of managers who can begin working in the traffic and urban mobility management sector after each public election to comprehend its significance. Originality/Value of the article: The GIS application generates a viable study method by facilitating the decision-making process and allowing the geographic visualization of data pertaining to the region under study.

Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China.

Multimorbidity has become a global public health concern. Knowledge about the prevalence and patterns of multimorbidity will provide essential information for public intervention and clinical management. This study aimed to examine gender and socioeconomic differences in the prevalence and patterns of multimorbidity among a nationally representative sample of middle-aged and older Chinese individuals. Data were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. Latent class analysis was conducted to discriminate among the multimorbidity patterns. Multinomial logit analysis was performed to explore gender and socioeconomic factors associated with various multimorbidity patterns. A total of 19,559 respondents over 45 years old were included in the study. The findings showed that 56.73% of the respondents reported multimorbidity, with significantly higher proportions among women. Four patterns, namely "relatively healthy class", "respiratory class", "stomach-arthritis class" and "vascular class", were identified. The women were more likely to be in the stomach-arthritis class. Respondents with a higher SES, including higher education, urban residence, higher consumption, and medical insurance, had a higher probability of being in the vascular class. Conclusions: Significant gender and socioeconomic differences were observed in the prevalence and patterns of multimorbidity. The examination of gender and socioeconomic differences for multimorbidity patterns has great implications for clinical practice and health policy. The results may provide insights to aid in the management of multimorbidity patients and improve health resource allocation.

A Multidimensional Information Management Framework for Strategic Digital Cities: A Comparative Analysis of Canada and Brazil

Management and information systems are essential for strategic cities since they provide customized digital services that connect specific information and its context to form a multidimensional construct. The objective of this study is to perform an information analysis in two cities to develop a strategic multidimensional framework. The research methodology was based on the model theory. It took into consideration the digital services from two cities supported by non-participatory observations and a bibliographic review. The data were collected hierarchically and compared with five related international frameworks using the infomapping technique. The framework comprised three constructs and ten multidimensional variables that related the conceptual theories to the developed and applied model. The research was conducted in Rio de Janeiro, Brazil, and Regina, Saskatchewan, Canada. The results indicated disconnections between one or more of the variables surveyed, limited customized services, and recurrent use of information in a bidirectional form. The conclusions emphasized the multidimensional character of information in terms of its dynamic nature and relations with distinct levels of information management. In addition, the study established a framework for strategic digital cities based on new interactive relations between public information management and digital services, including the city’s strategic policies. In terms of its contribution to the literature, this research highlighted the dynamic nature of information and strategic digital cities.

Implementasi Kebijakan Pengelolaan dan Pelayanan Informasi Publik di KPU Kota Bengkulu

The management and service of public information at the Bengkulu City KPU is based on the KPU regulations which serve as guidelines for the Bengkulu City KPU in carrying out a program of activities. Through the writing of this thesis, the problem raised is how to implement public information management and service policies at the Bengkulu City KPU and what factors are the obstacles and supporters in the implementation of public information management and services at the Bengkulu City KPU. The purpose of this study is to find out and understand how the implementation of public information management and service policies at the Bengkulu City KPU and to find out what are the inhibiting and supporting factors in the implementation of public information management and service policies at the Bengkulu City KPU. This study uses a qualitative method which ultimately produces descriptive data in the form of written or spoken words from people and observed behavior. Data collection techniques used in this thesis are observation, interviews and documentation. This study uses the theory of policy implementation from Charles O Jones. The results of this study reveal that the implementation of public information management and service policies at the Bengkulu City KPU is quite good, because the services provided have met the requirements written in PKPU No. 1 of 2015 concerning the management and service of public information.

Emotion research on education public opinion based on text analysis and deep learning

Education public opinion information management is an important research focus in the field of Education Data Mining (EDM). In this paper, we classify the education data information based on the traditional Flat-OCC model. From the cognitive psychology perspective, we identify up to 12 kinds of emotions, including sadness and happiness. In addition, the EMO-CBOW model is also proposed in this paper to further identify emotion by using various emoticons in educational data sets. The empirical result shows that (1) the proposed Flat-OCC model can classify and identify the emotion of education public opinion data well; and (2) for the recognition of educational emotion classification, the categorization accuracy of the Flat-OCC+EMO-CBOW model is significantly higher than that of a single Flat-OCC model, which reveals that the emotional-pack-based model we propose can enhance our benchmark model.