bluuebunny/crossref_metadata_2025 huggingface dataset:
Grid impedance estimation based on improved firefly algorithm
Authors: Lu Liang , Hu Linfeng , Liu Tianyu
Published: April 2021

Grid impedance has a great influence on the performance of grid-connected inverters in distributed power generation systems, so accurate grid impedance measurement is a key technique to achieve high-performance adaptive control of grid-connected inverters in weak grid situations. Firefly algorithm has the advantages of global search capability and fast convergence speed, and it has been widely used in the field of parameter estimation. In order to estimate grid impedance accurately and quickly, a grid impedance estimation algorithm based on the improved firefly algorithm is proposed. The grid impedance parameters are taken as the individual of the firefly algorithm, and the simulation model is built in the Simulink environment to compare and analyze the grid impedance estimation effect between the firefly algorithm and the successive iteration method. The simulation results show that the improved firefly algorithm has a higher accuracy for grid impedance estimation.
Synthesis and the photoelectrochemical performance of Fe2O3 photoanode through pretreatment
Authors: Wan Lijuan
Published: April 2021

The photo-electrochemical performance of hematite (α-Fe2O3) photoanode was evaluated and the preparation conditions were optimized in terms of maximizing the photoelectrochemical performances of the hematitephotoanodes. The photoelctro chemicalper for mances of hematite photoanode can be improved by the electrochemical surface pretreatment, and a possible mechanism was proposed to explain the reason for the improvement of photoelctro chemicalper for mances.
The feedback control of the fractional Mackey-Glass system with monotone production rate
Authors: Teng Xinghu , Han Xiao
Published: April 2021

This work is devoted to analyze the stability of the feedback control of the fractional Mackey-Glass system. Both the stability at the zero equilibrium point and the positive equilibrium point of the control system was obtained. Given small control gain for system, the stability interval about time delay and the stability region about destruction rate and time delay was obtain. Finally, an example was given to illustrate the result of paper.
Research on Key Technologies of Power Internet of Things Based on Artificial Intelligence Technology
Authors: Lin Xiaokang , Lin Jianeng , Su Zhiyong , Lin Chengchang
Published: April 2021

Abstract: With the development of science and technology, the power industry has combined many new technologies driven by science and technology to improve its own operating quality. The Internet of Things is a new technology that can significantly improve the power system. This article aims to study the key technologies of power Internet of Things based on artificial intelligence technology. This paper takes the research of intelligent meter reading system as an example, and conducts experimental analysis based on artificial intelligence algorithms. Using artificial algorithms in the spider web network topology, as the network increases, the communication paths that can be selected between nodes also increase, and the full-end reliability of the network topology also increases. The collection node is responsible for collecting temperature and voltage values through artificial intelligence technology, and then transmits the collected values to the coordinator node responsible for collecting information, and sends the collected information to the PC through the serial port, and uses the serial port debugging tool to display collected data. Experimental data shows that signal attenuation gradually increases with distance, and distance and obstacles make it impossible to send data accurately. So you can add routing nodes to the network, add collectors and concentrators, and then add an enhanced RF (Radio Frequency Identification) generator to the antenna design. The experimental results show that in the case of two indoor walls and D≤20m, the signal strength is in the range of -82dBm to -94dBm, which can ensure the normal communication of data. If D≥25m, data communication cannot be guaranteed. By combining power and the Internet of Things, power-based Internet of Things can be built to comprehensively enhance power operations.
Research on The Design of Power Enterprise Central Data Platform Framework Based on Big Data
Authors: Shen Liang , Cheng Zhihua , Gao Lingchao , Luo Yiwang , Cai Yuxiang
Published: April 2021

With the rapid development of computer technology and Internet, the traditional data mining methods and technologies in power industry will face great difficulties, and it is difficult to carry out accurate data processing and analysis. How to mine valuable data from a large number of original data has become a research difficulty. Aiming at this problem, this paper establishes the framework design of power enterprise central data platform based on big data. In order to further improve the actual performance of the scheme, the defects of existing algorithms are analyzed by IM_Apriori improves the calculation method, simplifies the calculation steps, reduces the calculation times, and provides technical support for enterprise data analysis. Through the analysis of the test results, when the data peak reaches 100 m, the execution time is reduced by 25s, which is obviously superior to the traditional scheme. The test results show that the design scheme in this paper has a high comprehensive performance, compared with the traditional central data platform framework, the performance has been greatly improved. Through the analysis, the research in this paper has achieved ideal results, and has made a contribution to the research on the framework design of the central data platform of power enterprises.
Research on New Energy Consumption Capacity Based on Grid Aggregation Model
Authors: Huang Shaoxiong , Wang Jiwen , Li Zhi , Li Shun , Wang Can
Published: April 2021

In recent years, with the rapid development of wind power, photovoltaic and other renewable energy, the installed capacity of renewable energy in the power system is increasing day by day. When wind power and photovoltaic reach a certain scale, their inherent output intermittence and volatility will seriously affect the stability of the system. Therefore, based on the historical load and renewable energy output of a certain region, the load curve and new energy output curve are given. Based on the power grid aggregation model, the rationality of the regional power planning is evaluated. Finally, based on the evaluation results, the limit of renewable energy consumption capacity in the region is studied. The research results can provide reference for new energy consumption capacity evaluation and power planning.
Study on Influence of Aging on Vibration Characteristics of T ransformer
Authors: Pan Zhiyuan , Yao Tengjun , Zhai Zhengang , Wu Nannan , Gao Bingtao , Xu Song
Published: April 2021

It is important to assess the insulation aging state of transformers, which can not only avoid equipment faults, but also improve the economic benefits of transformer operation. The main negative effect of transformer insulation aging is the decline of insulation mechanical properties, which will eventually lead to transformer fault. In this paper, the transformer vibration characteristic test platform is built and the vibration characteristic variables are defined to describe the vibration characteristic quantitatively. Then, the vibration characteristics and vibration variables of transformer tank surface under different aging time are studied by accelerated aging test in the laboratory. Finally, the vibration signals of transformers in service under different operation time are measured. And the vibration characteristics and vibration variables of in-service transformers under different operation time are analyzed and studied. This paper directly aims at the mechanical characteristics of insulation, and studies the relationship between insulation aging state and vibration of transformer. It provides a basis for more effective and direct monitoring of insulation aging state.
Influence of Load Factors on Distribution Transformer Noise
Authors: Wu Xiaowen , She Kai , Wang Xingyao , Cai Wei , Hao Cao , Ling Lu
Published: April 2021

Theoretical relations between load factors and distribution transformer noise are analysed. A 10kV/400kVA three-phase oil-immersed distribution transformer is used for sound pressure level test in various load conditions including various load ratios, unbalanced loads and power factors. The sound pressure levels of distribution transformer in different load conditions are compared and analysed. The results can be referenced for the field noise and vibration control of distribution power transformers.
Research on energy control strategy of PHEV
Authors: Sun Jingxia
Published: April 2021

According to the characteristics of Plug-in hybrid electric vehicle, PHEV optimal fuzzy control is proposed. The engine operating points are controlled on optimal fuel consumption curve. Based on the power request and SOC, the fuzzy controller can distribute the engine given power and the condition of SOC drop with insufficient of energy recovery is improved to realize constant SOC control Furthermore. ADVISOR is developed by Fuzzy control model embedding, and make simulation experiment under different driving cycle. The studies on case prove that PHEV optimal fuzzy control can realize the constant SOC control under road conditions, so that it has the well robustness.
Field Vibration Feature and Related Factors Analysis of 110kV Transformers
Authors: Wu Xiaowen , Wu Xiaozhong , Xiao Lihua , Cao Hao , Hu Sheng
Published: April 2021

Transformer vibration is closely related with its operating condition. In order to realize transformer operation condition evaluation, vibrations of sixty-two 110kV transformers are tested. The acceleration amplitude, base frequency amplitude, base frequency ratio, dominant frequency amplitude, dominant frequency ratio and frequency complexity are chosen as vibration features. Statistical analysis of the feature distribution is conducted to determine the normal range of the vibration features. In addition, the influence of operating life on transformer vibration features is also analyzed. The result shows that for most transformers vibration acceleration amplitude, base frequency amplitude, base frequency ratio, dominant frequency amplitude, dominant frequency ratio and frequency complexity are in the range below 5.0m/s2, 1.0m/s2, 0.3, 2.0 m/s2, 0.9 and 3.0, respectively. The vibration amplitude, base frequency and dominant frequency amplitude will increase obviously if transformer operating life is over 20 years. The analysis result will be used as data support for the operation condition assessment of transformers.
The study of rotate speed influence on the performance of Contra-Rotation-Propeller in stratospheric airship
Authors: Xie Cong , Tao Guoquan , Wu Zhe
Published: April 2021

According to the requirements of a foreign high-altitude airship project, the Single-Rotation-Propeller (SRP) was designed under the maximum endurance factor criterion. The spacing influence on the Contra-Rotation-Propeller (CRP) was studied by numerical simulation analysis, the performance of front and rear propeller was compared with SRP. The result indicated that CRP was more efficient than SPR, the CRP has enormous potential in enhancing the aerodynamic performance.
Research on Green New Energy Gymnasium under the Background of Environmental Protection
Authors: Jia Song
Published: April 2021

With society’s development, large-span spatial structures such as grids and arch trusses have been widely used in public buildings such as stadiums and stations. Simultaneously, solar energy as a green new energy source has also been significantly developed and widely used. This shows that photovoltaic power generation technology to large-span spatial structures will have broader development prospects. Based on this background, according to the thermodynamic characteristics of the solar fresh air measurement and control system and experimental data, the paper constructs a mathematical model of the green new energy gymnasium system, simulates it, and finally realizes the intelligent control of the solar energy measurement and control system.
Influencing factors and countermeasure analysis of a 800kV coupling capacitor dielectric loss test
Authors: Bao Yanyan , Zhang Guangdong , Liu Kang , Jiang Feng , Gao Lichao , Wang Hailong
Published: April 2021

The coupling capacitor is installed on the AC bus side of the converter station for AC filtering to filter out a large amount of harmonics generated by the converter during the AC/DC conversion process. Therefore, the reliability assessment test of its insulation status is of great importance to the safety and stability of the UHV power grid Meaning. In the UHV field test, the dielectric loss factor of the coupling capacitor is tested at a voltage of 10 kV and below, but the device itself has the Garton effect, and the abnormal data measured at some times cannot truly reflect the insulation state of the device. The thesis analyzes the abnormality of the dielectric loss factor test data of 800kV coupling capacitors in UHV converter stations from the structure, use conditions and test methods of the equipment, and gives a detailed analysis of the causes of the abnormality. Recommendations for operation.
Analysis of Optimal Bidding Strategy of Electric Vehicle Aggregators in Real-Time Energy Market
Authors: Hou Xiumei , Liu Wei , Chen Shiyu , Guo Yuenan
Published: April 2021

A power price control strategy is proposed for the charging of electric vehicles. Aggregation managers centrally manage the batteries of electric vehicles, and take into account the limited power supply of the grid during peak electricity consumption, and adjust the demand for charging through electricity price control. By analyzing the main body of the smart grid power market, the article constructs a multi-objective economic dispatch model, and uses Matlab to perform numerical simulation experiments on the model to verify the feasibility and effectiveness of the model.
Research on layout planning of Charging Infrastructure for Private Electric Vehicle Charging Station
Authors: Lin Haijiao , Ding Yong , Li Lixuan
Published: April 2021

Green development is the theme of the world today. As a kind of pollution-free and convenient carrying tool, the electric vehicle (EV) has been developed rapidly. The layout of the charging station satisfies the customers’ charging demand. Establishing vehicle prediction and charging scale prediction models to meet customers with charging needs. In the research on the layout planning of the charging stations, the elasticity coefficient method is used to predict the number of private electric vehicle (EV), and the queuing theory model is used to predict the charging demand. Forecasting the scale of charging stations based on private electric vehicles ownership and charging demand. Finally, a city is selected as the planning area for example analysis. The feasibility and nationality of the charging station layout planning method were proved.
Omnibus Law in the Job Creation Bill-Making Process: An Online Natural Language Process Analysis
Authors: Kurniawati Dyah Estu , Salahudin  , Yumitro Gonda , Kusumaningrum Demeiati Nur
Published: April 2021

This study aims to: 1) capture the discourse of omnibus law on online media, 2) analyze the differences of omnibus law discourse on online media coverage, and 3) the government’s political communication in the policy-making process. Descriptions were identified through a content analysis performed using NVivo 12 Plus to the four online medias that reported the omnibus law the most during the first 6 months of the policy making process, they are Kompas.com, Detik.com, Tempo.co, and Vivanew.com. The result indicates that there are similarities and differences in online media reporting about the omnibus law policy-making process through the Job Creation Bill. First, the similarity lies in the dominant roles and interests of the government in the policy-making process. Second, there were different issues discussed and different news sentiments by online media, such as critical, positive, and proportional sentiments. Third, to achieve its goals, the government seems to be trying to approach the legislative, which plays crucial roles in the passing process from bill to law, but not to approach workers and various groups resisting the omnibus law.
The Role of Stakeholders in Public Transportation Services Based on Information Technology
Authors: Ahmad Jamaluddin , Ramadhan Muhammad Rohady , Nilwana Andi , Bibin Muhammad , Ardian Ani , Sahar
Published: April 2021

Public transportation in Sidenreng Rappang Regency faces various problems that affect the achievement of tax collection effectiveness. One phenomenon that is often encountered in matters relating to the public transportation tax system is the emergence of an unofficial terminal, irregular tax collection processes, lack of motivation and guidance to tax management officers so that they are less professional in their field duties and public transportation facilities and infrastructure are not yet optimal. For this reason, planning for priority strategies is needed to increase local revenue (PAD). The purpose of this study is to design a priority strategy for increasing local revenue (PAD) through public transportation taxes in Sidenreng Rappang Regency. The research method used is a mixed-methods method. Data were collected through observation and in-depth interviews with stakeholders. Then the data were analyzed using stakeholder analysis methods and process hierarchy analysis. Stakeholders involved in increasing public transport taxes in Sidenreng Rappang Regency are divided into two groups. The first group is the key players. Key player’s group stakeholders must be more actively involved in planning and evaluating policy. The second group is the actors. Stakeholder group can bring risks, so their existence needs to be monitored and managed properly. To optimize the role of stakeholder actors, it is necessary to coordinate with key stakeholder groups in determining policy. The priority scale of the policy in increasing public transport taxes is as follows: 1) optimizing training and education programs in improving the quality of human resources and increasing the dissemination to taxpayers; 2) improve public transportation terminal facilities; 3) evaluating Regional Regulation Number 10 of 2010 concerning tax tariffs; and 4) cooperation between other agencies.
Big Data Analysis of Policies on Disaster Communication: Mapping the issues of communication and public responses in the government social media
Authors: Wahyunengseh RD , Hastjarjo S
Published: April 2021

Government communication contributed to the success of public policy implementation. Government social media is an instrument that can be utilized to measure public’s sentiment and support towards certain policies. This paper aims to present how the government’s policies on disaster are represented on the social media owned by the Badan Nasional Penanggulangan Bencana (BNPB) or Indonesian National Board for Disaster Management. This study analyzed both information and public comment posted in those social media between March and May 2020 to explore the state and citizen relations during the Covid-19 Pandemic in Indonesia. Using NVivo as a tool for text analysis methods, this study examines the theme pattern in government communication and public sentiment towards them. The study identifies content categories government’s communication, i.e. information, persuasion, and coercion. Concerning the public sentiment, this study finds high responses to behavioral contents, with negative (resistant) sentiments towards them. This study concludes that the government needs to treat the public as a collaborative partner, therefore the public policies on disaster need to be narrated comprehensively rather than partially intended to control public behavior.
The Urgency of Policy Formulation: Dynamics of Covid-19 Handling and Big Data
Authors: Suhermanto Dedik Fitra , Sihidi Iradhat Taqwa
Published: April 2021

This paper attempts to discuss the role of big data to formulate policies in responding to social and economic threats due to Covid-19 pandemic in Indonesia. The use of big data as a primary source is based on the dynamic of spreading cases in other countries that were suddenly flared. Those primary resources are online or open data such as population, social economic condition and infection case. In related indicators, population is a big portrait of the countries, thus we observed the number of new infection per day, month and how it impacts the economy. The research problem is how big data is used to formulate policy during the Covid-19 time. We use Decision Theory under Uncertainty to explain three indicators that influence decision-making under Covid-19. This research applied Machine Learning R and SIR Model to obtain the latest data. The argument is that big data can be used as a base resource for the policy formulation and decision-making. In this case, base resource refers to first input in the policy formulation process as well as input and output information in the decision-making process.
The Readiness of Social Media Back-End to Support Surabaya Government’s Public Policy
Authors: Kasiwi Aulia Nur , Nurmandi Achmad
Published: April 2021

This research aims to investigate the social media used in decision making. Social media has been used by the government to disseminate information to the public and to improve their services behavior. This research used a mixed method using Gephy Application to gain the network analysis to know the correlation of social media cross in each departments. The result has found that all departments of Surabaya government have been integrated with each other using one based system by Twitter, Instagram, and Facebook. Surabaya government always collected and resumed the data information every month, then the government can improve their performance and know what the citizen need or what happen in the real time. The main sub-actors for surabaya government in the social media are Sapawarga Surabaya account, Community Service, Public & Government Service, and the news company that supported the government activity on social media. This research is based on questioner survey and social media analysis so that we can know the analysis in two balancing performance, both their organizational behavior and responsiveness of the government. Furthermore, we can also know the effect of information that come from the government’s social media as part of their policy.
Smart City Development Innovation Strategy and Challenges for the Government of Jember Regency
Authors: Maulana Akbar , Haerah Kahar
Published: April 2021

Technological development has helped the local governments to provide information and services to the community, one of which is Smart City, a comprehensive and integrated application system which can be accessed quickly by the public and improves the duties and functions of local governments. Smart City has been implemented in various cities in the world and has proven to be able to solve various problems quickly. This information system should be able to be used by local governments to create effectiveness and efficiency in performance by analyzing organizational data for further policies. This paper aims to obtain an overview of the concept of smart city strategy and its implementation in Jember Regency. This research used literature review methodology through the concept of a model of implementing GSCM in smart government by paying attention to the artificial intelligence aspects. The conclusion of this paper is that the smart city development strategy is pursued by adjusting the potential and conditions in Jember Regency, which is of course, by analyzing some of the challenges and readiness for innovation through the GSCM concept.
The Strategy of Develop Artificial Intelligence in Singapore, United States, and United Kingdom
Authors: Zahra Abitassha Az , Nurmandi Achmad
Published: April 2021

The development of artificial intelligence has become an important issue in this era. However, the development of artificial intelligence is growing evenly, especially in Asian continents. A lot of countries develop artificial intelligence because artificial intelligence provides a lot of benefits. Hence, the Government makes various strategies to develop artificial intelligence in their country. Almost the country utilizes three sectors, such as the education sector, private sector, and the government sector, to develop artificial intelligence. Nevertheless, there are different approaches to develop artificial intelligence. Singapore prefers to utilize government sectors than the education sectors and private sectors. Then, the UK prefers to utilize education sectors than private sectors and government sectors. Different from Singapore and the UK, the USA prefers to utilize two sectors, which are very significant support by the education sectors and private sectors.
Delivering Artificial Intelligence for Electronic Traffic Law Enforcement in Yogyakarta Region: Current Effort and Future Challenges
Authors: Rahmat Al Fauzi , Pribadi Ulung
Published: April 2021

Nowadays, the presence of Artificial Intelligence (AI) in the government sector has been rapidly experiencing a significant increase in its uses. Therefore, AI technology can attract the attention of several scholars to find out more deeply about the variety of its capacities. In Indonesia, the government uses AI as an instrument in formulating regulation, and focusing on managing complex data as well as its implication for accelerating activity and work. More importantly, it is very useful for decision making. In this context, as one of the adoptions of AI in the government, one of the highlights is Electronic Traffic Law Enforcement (e-TLE). E-TLE intends to handle cases of traffic violations in the Yogyakarta region (“DIY”). The high number of accidents and traffic violations in the DIY jurisdiction are a significant issue that is especially important to discuss when the presence of AI is necessary to manage them. Therefore, this paper aims to examine artificial intelligence in ‘Electronic Traffic Law Enforcement’ that overviews current efforts and future challenges of its implementation. This paper used qualitative research with explorative-oriented; it attempts to explore the meaning of information from sources that are then interpreted to obtain more in-depth insights that are easier to understand. Finally, this paper highlights the current situation and future challenges in providing public convenience in traffic. The police officer can promote the e-TLE system periodically to reduce the number of accidents and traffic violations in the DIY region.
The Effect of Leadership Style on the Implementation of Artificial Intelligence in Government Services
Authors: Effendi Ghina Nabilah , Pribadi Ulung
Published: April 2021

Artificial Intelligence (AI) has been widely used in human life, especially in the field of government, including Indonesia, which uses AI as an effort to reform the bureaucracy to be active and efficient. One obstacle found in the application of AI in Indonesia is the leadership factor, especially in public services, with complicated service procedures that require innovations to provide solutions to people’s problems. The ability of leaders is an essential aspect in facing the industrial revolution 4.0 where humans cannot beat the machine, but humans have the mind that distinguishes the two; a leader must form a culture of leadership system with a strong organization and influence through leadership style. Currently, the City of Jambi is in the public spotlight with a new model of leadership of Mayor DR. Syarif Fasha who applies technology-based services to facilitate the Jambi people’s access to government services. Researches on AI for government services are mostly done, but the research that explains leadership styles in the application of AI to government services is very minimal. Thus, this research focuses on the influence of leadership style on the implementation of artificial intelligence for government service. This study used a descriptive qualitative method and data sources obtained through website and application of the government service, the Mayor’s social media, report document and journalism related to the research topic. Data analysis used the Nvivo 12 plus data-processing application and crosstab. The results showed that the leadership style influenced the response of AI and the progress of the city through indicators of government quality, performance, responsibility, and attractiveness, which affect leadership style in the application of AI for government services.
Using Artificial Intelligence Technique in Estimating Fire Hotspots of Forest Fires
Authors: Agustiyara  , Purnomo Eko Priyo , Ramdani Rijal
Published: April 2021

This paper aims to assess the fire detection systems in estimating hotspots in forest fires, in other words, a way of considering the possible scale of fires. Since it needs to have precise and fast mechanisms to make the right decision in case of a forest fire. In this paper, the hotspot resulted from potential forest fires was estimated using the Artificial Intelligence (AI) technique, which contained certain parameters, such as time, when the fire broke out, and unit area of the existing environment. Fire estimation can be built as a large-scale framework that gathers hotspot data from multiple regions. The current estimation systems, such as sipongi.menlhk.go.id and geospasial.bnpb.go.id as forest fire databases, are used to identify forest fire possibility and risk at any given time. The data was from the SiPongi and BNPB in Indonesia and contained forest fire hotspot records from 2010 and 2020. The output from the estimation methods applied in this paper predicted the scale of the hotspots i.e., large, medium, or small fire. Furthermore, the Geographical Information System (GIS) based model was used to calculate the forest fire hotspot, landscape, and topographic data in the selected provinces. In this case, AI is used to classify the regions at risk of forest fires and estimate the burned area for recent forest fires. The results of these estimates are presented and compared to similar studies in the literature.
Regional Head Communication Patterns on Social Media in Handling the Covid-19 Pandemic
Authors: Syarifuddin Tengku Imam , Budiman  , Purwaningsih Titin
Published: April 2021

In crisis situations such as the Covid-19 pandemic, the government and politicians continue to strive to maintain direct communication with the public. Social media is one of the effective communication channels in the Covid-19 pandemic time. This study seeks to see the influence of regional head’s communication model on social media in handling the Covid-19 Pandemic. In addition, this research is a qualitative research using literature study and social media analysis. In this study, the authors used the NVivo 12 Plus software as an analysis tool. In addition, this article will focus on four regional heads in Indonesia; they are the Governor of DKI Jakarta, the Governor of Central Java, the Governor of East Java, and the Governor of West Java. The result of the research shows that the accounts of regional heads still tend to be in the first spectrum, which is informing the public. Accounts belonging to Anies Baswedan and Khofifah Indar still dominate the spectrum of information. However, the accounts belonging to Ganjar Pranowo and Ridwan Kamil have better percentage on the other spectrum. The communication model used on social media by regional heads tends to be one-way communication, but Ridwan Kamil’s account also uses two-way and deliberative communication. This has affected the handling of Covid-19 in West Java which is slowly subsiding. In addition, the communication that Ridwan Kamil built on social media has an effect on the handling of Covid-19 in West Java, considering that social media is one of the most ideal communication channels during the Covid-19 pandemic. This means that the use of a two-way and deliberative communication model as well as intense communication by regional heads on social media will affect the handling of Covid-19, because it allows regional heads to attract participation and absorb the aspirations of the community through social media.
The Crisis Communication in Using Artificial Intelligent to Face COVID-19 Pandemic in Indonesia
Authors: Nurjanah Adhianty , Mutiarin Dyah , Kumorotomo Wahyudi , Apriliani Riski
Published: April 2021

This paper explores the policy of crisis communication in the time of the pandemic using AI in handling COVID-19. Artificial Intelligent (AI) technologies and resources play a vital role which is used to recognize the virus and accelerating government efforts to combat COVID-19. The communication analysis is taking the vital use of AI throughout the crisis, where policymakers should encourage the sharing of information and policy for the citizens, also to communicate the information to support the decision-making process. The government faces some problems regarding the policy of crisis communication when the policies designed to tackle COVID-19 experience disobedience in the local governments and the community in implementing health protocols. This research employed a descriptive qualitative method based on the document study approach. The study results indicated that the government must also carry out a massive social campaign based on AI of related matters to COVID-19 conducted in a straightforward and easy to understand language, and if necessary, using the local language in the application base on AI to make it quickly digested down to a lower level of society.
Implementation of Online Single Submission Software Application in Yogyakarta City: Identifying Prominent Factors of Organizational Aspects
Authors: Pribadi Ulung , Iqbal Muhammad , Saputra Herdin Arie
Published: April 2021

The purpose of this paper is to identify prominent factors of organizational aspects in implementing online single submission (OSS) software application in Yogyakarta City. This study used a qualitative approach by applying NVivo 12 plus for analyzing and visualizing data obtained from the content of online media news, stakeholders’ statements, and documents of government regulations regarding investment licensing service. This study identified six factors in implementing e-government, including regulation, technology, benefits, structure, leadership, and resources. This study offered four propositions regarding the six factors. This study also considered directions for next research and suggested practical implications.
The Use of Artificial Intelligent in Discovering Sentiment Respond of Society through E-Government Service in Bulo Village
Authors: Dema Herman , Syahruni  , Irwan  , Hamid Hariyanti
Published: April 2021

This study aims to analyze the application of electronic government and the factors that influence the improvement in public services in village governance. The method used is qualitative research. The informants of this study were determined by an accidental sampling technique with 15 people. Data collection is done through observation, in-depth interviews, and documentation studies. The collected data is processed using data analysis techniques that include interview transcripts, data reduction, analysis, interpretation, and triangulation to conclude further. This study indicates that the application of electronic government in improving public services in the village government is not optimal because the village government has not prioritized the electronic government. The services provided are still complicated; there are still many services that have not been reserved for electronic-based services, which have resulted in ineffective and efficient services. It causes public servants to be less good. The dominant factors affecting the network are the internet, consistency, and resources.
The Application of Artificial Intelligent in Analysing Ruling of Court for Corruption Case
Authors: Hadi Sadhono , Rahardjo Trisno , Pribadi Ulung
Published: April 2021

A ruling of courts contains a full transcript of the defendant’s examination in chief and its cross-examination, as well as the transcript of the witnesses’ testimony under oath, and the concomitant cross-examination of the witnesses, a list of documentary evidence, and applied sentences. By applying Artificial Intelligent, the researcher is able to open all possible connections and interrelation of all actors and evidence which are almost impossible to be done manually. From six of the ruling of the Supreme Courts regarding corruption, we identified and mapped the process, forms, sociograms, crosstab of corruptions, and interconnections of all the persons and institutions involved. The huge and various documents can be easily categorized and be more homogeny. This study, therefore, demonstrates that Artificial Intelligent is increasingly playing a role in qualitative as well as quantitative corruption research.
Puber as Artificial Intelligence for Education Policy in Bandung City
Authors: Aditya Toddy , Febriyanti Doris , Rahmayanti
Published: April 2021

The City Government of Bandung currently still lacks competent teachers. The distribution of teachers who have uneven competence in every junior high school (SMP). To accommodate the problem of the distribution of Competent Teachers, the Bandung City Education Office made one innovation, which is Puber (Learning Center). Puber can facilitate teacher rotation through technology. This study aims to dig deeper into the application of Puber in the city of Bandung. Researchers used a qualitative method to dig up information related to the application of Puber in every junior high school in the city of Bandung. The results of this study indicate that the Puber program makes Teachers at Favorit Schools provide learning to ordinary Schools. This research concludes that the Puber Program must continue to be improved and always get control from the Education Office and the School.
The Use of Artificial Intelligent in Disaster Communication between Government and Society through E-Government in North Lombok
Authors: Nurjanah Adhianty , Mutiarin Dyah , Kasiwi Aulia Nur
Published: April 2021

North Lombok Regency is the area with the worst damage impact due to the earthquake in 2018. The North Lombok Regency Government as the organizer of the regional government also has responsibility and authority in disaster management, under Article 5 of Law of the Republic of Indonesia Number 24 of 2007 concerning Disaster Management. The purpose of this study was to determine the implementation of E-government Public Relations in North Lombok as well as the supporting and inhibiting factors in the implementation of E-government Public Relations. This study used a qualitative descriptive method and conducted in-depth interviews with the Head of Public Relations Officer, BPBD, and the people of Gangga Village in North Lombok Regency. The results showed that the implementation of North Lombok E-government Public Relations in the 2018 earthquake disaster communication, according to the type of service, is for publication and interaction between governments and communities affected by the disaster. It was carried out via electronic government platforms, which are Website Facebook, Instagram, and YouTube to gathering data about how the government communicates with society regarding disaster management in North Lombok. Public Relations also conducts conditional cooperation with national online media. Public Relations also manages the information conveyed through the news menu on the website of the North Lombok Regency Government, called lombokutarakab.go.id. The supporting factors in the implementation of E-government Public Relations are the condition of the people of North Lombok Regency who are increasingly well informed with internet media in meeting their daily communication and information needs. The inhibiting factor is the lack of a telecommunication system network in the North Lombok area, especially in the blank spot area because the topography of North Lombok is mountains and valleys. In essence, the researcher considers that the PR of the North Lombok Government has been implemented but the operation of e-government needs to be improved. Out of the many existing social media, North Lombok Government Public Relations need to act in operating and optimizing them.
Public’s Perception on Social Media towards New Normal during Covid-19 Pandemic in Indonesia: Content Analysis on Religious Social Media Accounts
Authors: Lendriyono Fauzik
Published: April 2021

Religious activities usually bring large numbers of people together in certain places. However, in the current Covid-19 pandemic situation, gathering activities can increase the possibility of a faster spread of the virus. For this reason, this research aims to determine the people’s perceptions on the implementation status of new normal on religious-based social media accounts. This research was conducted by using the content analysis research model. The data were collected through purposive sampling technique from the status and comments of some religious Instagram accounts. The data were collected from seven different Instagram accounts.The result showed that most people who follow religious accounts on Instagram disagree with the implementation of new normal. The results of this research can be used as considerations for the government in determining additional policies regarding the application of new normal to achieve the expected goals.
ls Policy Integration Real in Policy Practice? Critical Review on How Government of Indonesia Respond to Covid-19 Pandemic
Authors: Suwarno Yogi , Rahayu Neneng Sri
Published: April 2021

This study aims to understand the practice of government policy in dealing with the Covid-19 pandemic with a focus on cross-sectoral and cross-level policy synergies. At the central government level, ministries tend to respond sectorally and fragmentedly to the pandemic issue. Whereas from a hierarchical perspective, policy practices at the central and regional levels tend to clash with each other. Policy communication through the media also shows the atmosphere of competition between sectors and between levels of government, compared to the portrait of integrated government policy. This research is a literature study based on secondary data from the policy literature as well as policy implementation in the pandemic period April - August 2020. Policy integration analysis is built on the framework of central and local government relations in response to the pandemic. The results of the study show that the objectives of policy integration cannot yet be achieved and done in the policy practice of handling the Covid-19 pandemic organized by the government, both in terms of current problems, policies, and politics. The implementation of policies at both levels of government is not convergent and tends to be reactive, especially in dealing with these emerging pandemic issues. Likewise, in the perspective of the dynamics of the central and regional politics, where the central government tends to compete with the regional government in public in response to this pandemic.
The Capacity of the Jember Regency Community and Village Empowerment Service (DPMD) in Using Artificial Intelligence to Strengthen the Village Financial System
Authors: Wicaksono Itok
Published: April 2021

This study aims to determine the extent of the capacity of the Community and Village Empowerment Service in strengthening data transparency in the Village Financial System (Siskuid). The method used in this study is a qualitative approach, while data sources were obtained from the Community and Village Empowerment Service of Jember Regency. The data were collected through interviews, observation, and documentation. The results of his research are the capacity of the Community and Village Empowerment Service in strengthening data transparency in the village financial system in Jember Regency. There are several aspects including; processes, human resources, strategy, and organizational structure. The efforts of the Jember District Government’s Community and Village Empowerment Service in using artificial intelligence to strengthen data transparency in the Village Financial System are somewhat weak. From the perspective of their institutional capacity, their improvement in the Village Financial System Program based on data transparency is also categorized as poor even though all villages in Jember Regency have used the online Village Financial System in December 2019.
Implementation of the Integrated One Way Data in Improving the Quality of Public Services in Rappang
Authors: Saifullah  , Madaling  , Bibin Muhammad , Hardianti
Published: April 2021

AI is a type of computer science, the essence of it is to try to make computers or devices replicate the mechanism of knowledge of human cognition and thought, to think like a human being even exceeded human beings. Governments around the world are currently facing pressure from various parties to improve the quality of public services in providing information to the public. This makes the role of E-Government increasingly important for all decision-makers. This research found there are many influencing factors which become a big challenge in implementing artificial intelligence in government village. Human resources capability becomes a major factor that makes implementing artificial intelligence in the village is not going effective. In addition, the second factor is the limitation of data. It is multiple effects of human resource capability. The low capability makes the management data is not well integrated. The third factor is budget. It is because Village Government has not more budget for the maintenance system.
Flood modelling and breach analysis of karuvannur river in kerala state
Authors: Anupriya A , Reeba T , Anoop R
Published: April 2021

India is one among the countries around the world, where continuous variations in climate and rainfall amount causes severe economic damages and threat to human lives. High amount of rainfall causes drastic changes in the normal flow of a river and leads to heavy flood. During the catastrophic flood occurred in the year 2018, Karuvannur River overflowed and collapsed the bund road connecting Arattupuzha and Karuvannur. It had deviated from its original course and subsequently the low lying areas near the river were completely flooded. This incident indicates the need for conducting hydrologic and hydraulic analysis of Karuvannur River for adopting an effective river management plan to prevent the future flood events. In this study, hydrologic analysis is done using HEC-HMS model and hydraulic modelling is done using HEC-RAS model. From the analysis, the maximum flow, velocity and shear stresses on the banks of river are determined. Flood mapping is also done. As per the results of flood modelling, construction of a levee on the river bank is proposed to avoid overflow and diversion of flow hereafter.
Upstream flood hydrograph prediction of Chalakkudy River
Authors: Jeslin A J , Sumam K S
Published: April 2021

Flood routing is an important step in any flood modelling study. When the upstream river station data is available the flow of flood water can be routed to downstream and flood inundation studies can be carried out. Flood hydrograph forms the crucial part of any flood routing study. But in certain cases the upstream flow data may not be available where one can use reverse flood routing technique to determine the upstream flood hydrograph, from the available downstream flow data. Reverse flood routing studies involve errors due to its inversing nature and any such reversing techniques are seldom available. Artificial intelligent techniques like genetic algorithm is a better resort where there is data deficiency to perform normal routing or reverse routing techniques. In the present study reverse routing model solved using genetic algorithm, is applied to one of the most flood affected river in Kerala, India during the flood in 2018.