bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.