bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bringing Artificial Intelligent to Jakarta Monitoring Covid-19 Outbreak
Authors: Rahayu Riska 
Published: April 2021

Abstract
SARS-CoV-2 has been named as the cause of coronavirus disease (COVID-19) The Government of Jakarta reported 47.796 cases, 35.431 of those who got infected already recovered while 1.318 died. The Jakarta government has provided a particular website as a media for delivering Covid-19 information in a fast and updated dynamically. The government provides various information with features that make it easier for the public to read and understand the extent to which the Covids-19 pandemic. This study adopted an exploratory data analysis (EDA) approach to qualitative research. Data was analyzed by classifying topics that are relevant to the information layout. Data reduction is defined as the collection process, focusing on what is appropriate to the research objectives. The finding was analyzed Covid-19 pandemic in Jakarta has infected 43,709 people and killed 1,219 in Jakarta. Data on patients who were cured and those who were infected are displayed on the Jakarta government’s website. The cure rate for Jakarta’s patients and national mortality data continues to increase. Jakarta has contributed 34% of the cure for national data. Optimization seeks to promote public access to the Jakarta Government. Data displayed can detect the number of positive active patient cases.
Implementation of Artificial Intelligence by the General Elections Commission in Creating a Credible Voter List
Authors: Akbar Paisal , Loilatu Mohammad Jafar , Pribadi Ulung , Sudiar Sonny 
Published: April 2021

AbstractIn the 20th century, artificial intelligence was a necessity that cannot be separated from human activities every day. In its development, artificial intelligence has influenced the process of running democracy where the implementation of elections has been supported by internet-based systems to make it easier for organizers, election participants, and voters in realizing the overflow and judicial elections. This research attempts to examine the Voter List Information System (Sidalih) owned by the General Elections Commission (KPU). The goal is to examine the extent of the system on how it works effectively in realizing credible votes list, what factors influence its implementation. The method used in this study is a descriptive qualitative approach. Research data collection is obtained from literature studies of previous articles and data from recapitulation by the General Elections Commission. Based on the results of the research, it will be presenting the extent to which Sidalih effectiveness in creating credible voter list, knowing the obstacles faced in implementing Sidalih in the field, the data processing through coding literature data, and reporting to reputable online media which reports the implementation of updating data, as well as listing voters by the General Elections Commission in the 2019 General Election. The coding result data is then processed using the Nvivo 12 plus feature.
Big Data Analysis of COVID-19 Mitigation Policy in Indonesia: Democratic, Elitist, and Artificial Intelligence
Authors: Ramdani Rijal , Agustiyara  , Purnomo Eko Priyo 
Published: April 2021

Abstract
In response to mitigate COVID-19 local transmission, the Indonesian government has launched several regulative policies. This paper aims to analyze whether the decision-making process of those regulative policies is closed to a democratic or elitist approach and whether the government has adopted Artificial Intelligence (AI) in these processes. We focus on large-scale social distancing (PSBB), homecoming restriction in the Eid Mubarak (Mudik), and new-normal life policy case studies. The research has shown that elite roles are quite dominant with little consideration for public consultation and little attention to the use of AI to consider public preferences. The data were collected from two well-known national online media, which are nasional.kompas.com and tempo.co, while the big data mining and analysis have been applied through N-Vivo 12 software. We argue that although the elitist paradigm can be recognized as an efficient approach in the pandemic and emergency, the decision-makers can accommodate public preferences if they can get insights from online media news with the help of AI technology.
Is Smart Governance Internal Collaboration Works on the Implementation of the Smart City Yogyakarta?
Authors: Kencono Dewi Sekar 
Published: April 2021

Abstract
Smart city concept is a sustainable urban growth with good quality of life. By adapting governance to smart cities, governance has become more public responsible. The issues that generated resident complaints which became internal problems within LGO still overlap. The analytical method used is quantitative by using a data collection source of complaint-identified cases through the Jogja Smart Service application with the UPIK section (Information and Complaints Service Unit). Data from 2016-2019 were reported as many as 796 cases via the complaint system. In the results of this research, the existance of variable data and information are essential co-operation keys that are often overlooked, therefore there is no time relationship. Including the four variables of this article, the strongest variables are participation and engagement, while the weakest variables are data and information.
Comparison of Technology, Human Resources, and Institutional Resources Perspectives: Cases of Jakarta Smart City
Authors: Reza Izzul Fatchu , Azmi Ilima Fitri 
Published: April 2021

Abstract
Smart City policy is the right choice for cities to transform to be more dynamic by keeping up with the development of social, economic, and globalization. Governments in big cities such as Jakarta have formulated and implemented smart city policy with various objectives. The government of Jakarta city built smart cities to maximize public services, provide solutions for city problems and support sustainable development. This research aims to describe the implementation of smart cities in Jakarta City from the perspectives of technology, human resources, and institutions. This study will also portrait the use of big data in Jakarta smart city. These three factors are determinants of achieving the visions of a smart city, which are smart energy, smart transportation, smart environment, smart health care, smart education, smart safety, and other policy domains. The research method uses descriptive qualitative method with data sources derived from secondary data sources such as data obtained from official sites, related documents both sourced from the government and the public, news, research results, and others. The result of this study is expected to provide recommendations and solutions for the city government in solving problems and obstacles faced in the implementation of strategies in achieving the vision of the smart city.
E-Parking Management System
Authors: Ayyub  , Hardianti  , Nonci Nurjannah , Nuraini K , Nur Muhammad 
Published: April 2021

Abstract
The development of Makassar City, which from year to year increasingly signals changes to the lifestyle of the community, the increased use of vehicles, and community mobilization from one place to another is parallel to the community’s need for land or parking space. This has triggered the emergence of many illegal parking lots spread across Makassar especially on the side of public roads, shop fronts, offices, and others which are the leading causes of traffic jams in Makassar. The purpose of this research is to regulate parking management as a whole from all stakeholders, to change manual parking into e-parking so that it is more controlled, controlled, and transparent. This study uses the Nvivo analysis research method in a qualitative approach to explaining the problem of management of e-parking in cities with a data coding model. The data in the research were obtained through the online media of the South Sulawesi Province by selecting news about parking in Makassar. Out of the 717 parking points in Makassar, only a small proportion use e-parking. It is because the parking lot in Makassar City is not well controlled. There is no equitable management carried out by the government so that many parking attendants do illegal parking.
Artificial Intelligent Application in Discovering the Japanese Manufacturing Market for Indonesia’s Policy.
Authors: Kusumaningrum Demeiati Nur , Wardhana Dhani Kusuma , Lestari Winda Ayu 
Published: April 2021

Abstract
Japan is one of the biggest Indonesian market destinations. But in 2018 the World Bank reporting Indonesia is at the 11th position of exporting food to Japan left behind Thailand, Brazil, and Vietnam. The biggest obstacle for the Indonesian manufacturing industry arrived in Japan market is dealing with the food safety and health standards. PT. Bellfood became the first Indonesian producer of processed food entering the Japanese market in 2018. This paper aimed to identify Japanese food safety policy implementation that affected Indonesia’s food industry to access Japan market. This paper used the VosViewer application to find the research gap. Data collection used the library research method. The authors selected 23 publications by Mendeley that concerned with Japan Food Safety as the keyword. The liberal perspective of IPE examines the Japanese food safety management system under the Food Sanitation Act has internalized international trade standards. The national provisions concerning safety and quality assurance refers to HACCP and ISO 20200. Import processed food products entering the Japanese market should own certification of ISO 9001 quality management system, ISO 22000 Food Safety Management System, and Halal Assurance System 23000 as good practice implemented by PT. Bellfood.
Artificial Intelligence and Human Resources: A Challenge in Implementing Artificial Intelligence in Village Government
Authors: Angin Ria 
Published: April 2021

Abstract
AI is a branch of computer science, its essence is to try to let machines or systems simulate the information process of human consciousness and thinking, think like a human being even surpassed humans. AI village financial system is the combination of AI and village financial data. The village finance system has four modules: planning, budgeting, administration, and bookkeeping. The planning module to input the Vision, Mission, Goals, and Targets of the Village Government which has been outlined in the RPJMDes. The second module is a budgeting module to input data regarding the preparation of APBDes at the beginning of the fiscal year, budget proposals, and budget changes. The next module is the administration module to perform the input process in the framework of implementing APBDes and is used to record village revenue transactions, village expenditure transactions, cash transfer transactions, and tax deposit transactions. The fourth module in the data entry menu is the bookkeeping module, to enter the opening balance and make journal adjustments. The output of the bookkeeping module consists of budget realization reports every month, every quarter, every semester, and every year. Then the Village Property Report, the Realization Report on the Use of Village Funds, and the Compilation Report. Technical guidance improves the capacity of the village government apparatus. Technical guidance has a positive impact on civil servants in implementing the village financial system.
Implementation of Artificial Intelligence: The Use of Technology on Diffable Public Service in Banyuwangi
Authors: Adawiyah Putri Robiatul , Ardiansyah Fuad , Haerah Kahar 
Published: April 2021

Abstract
This research focuses on the implementation of Artificial Intelligence in Banyuwangi Innovation on standards diffable public service. Implementation of Artificial Intelligence through technological innovation and special infrastructure for people with disabilities and public service standards for disableds, braille printers, braille scanner, hearing it tools, audio graph tools to measure hearing, deaf speech electrolytes, multi-function wheelchair, regulations on braille printing disabilities, braille computers, jaws applications for pc, talk voice to read mobile applications, embosser printers, braille reference books. The implementation was realized by the government, education service providers, stakeholders, the community, and the private sector. AI formulated important support, needed, applications, technology, machine learning, public facilities, and access to information. Innovation in Banyuwangi manifested the form of support for regional regulations (PERDA) No. 6 of 2017 that concern the protection and fulfillment of the rights of disabilities to realize public service standards for disabilities following technological innovation.
Imputation of Missing Values for Solar Irradiance Data under Different Weathers using Univariate Methods
Authors: Mohamad Noor Bariah , Lim Boon-Han , Lai An-Chow 
Published: April 2021

Abstract
Significant investment risks of large photovoltaic (PV) systems are uncertainties of energy yield predictions from a PV power plant. Unfortunately, solar irradiance weather datasets often have missing values due to operational issues; hence techniques of imputing or recovering the missing values become essential. This paper examined five statistical imputation methods that are frequently adopted in missing values analysis for daily solar irradiance series based on two different weather conditions in the tropical climate with 10% to 50% of missing values and the methods were evaluated using performance indicators such as normalised root-mean-square at standard test conditions (nRMSESTC). The results show that during Sunny weather, the Bezier curve and Stineman interpolation give the lowest nRMSESTC for 10% and 20% to 50% of daily missing values, respectively. Meanwhile, during Largely Cloudy weather, three methods share the best estimations, which are Linear interpolation for 10% missing values, Stineman interpolation for 20%, 30% and 50% missing values, and Spline interpolation for 40% of missing values.
Calculation of the Impact of Income Gap on Environmental Pollution
Authors: Shi Yaobo , Zhao Pengting 
Published: April 2021

Abstract
This article uses the panel data of 30 provinces (excluding Tibet autonomous region) from 2000 to 2018, and uses pm2.5 concentration as an indicator to measure environmental pollution. It starts from the traditional EKC curve and adds the Gini coefficient to measure income gap as the key explanatory variable, in order to study the impact of income gap on environmental pollution in China. Regardless of whether it is a static panel model or a dynamic panel instrumental variable model, the results show that China as a whole has an environmental Kuznets curve of pm2.5, and the widening of the income gap is not conducive to the improvement of environmental quality. Among the selected control variables, the increase of industrialization level, energy intensity and foreign direct investment will aggravate the environmental pollution. However, the good news is that the rational advancement of urbanization has played a positive role in the improvement of environmental quality.
Cultivation of Chlorella vulgaris in Sequential Flow Photobioreactor System: Influence of Recycled Culture Medium on Growth, Lipid and Protein Content
Authors: Dasan Yaleeni Kanna , Lam Man Kee , Yusup Suzana , Lim Jun Wei , Lee Keat Teong , Show Pau Loke , Tan Inn Shi , Yew Foo Henry Chee 
Published: April 2021

Abstract
In the present work, the reusability of culture medium to grow Chlorella vulgaris was examined in an effort to reduce the freshwater footprint of microalgae cultivation. The microalagae was cultivated in a sequential-flow system equipped with five photobioreactors connected in series. Furthermore, the effect of recycled culture medium without additional nutrients on the growth, lipid and protein content of microalgae was evaluated under optimized cultivation conditions. Experimental results showed that biomass concentration and growth rate reduced when the recycled culture medium was used. The maximum biomass concentration was achieved in the fresh medium with a total biomass yield of 1.42 g/L. Meanwhile, lipid content was found to increase when the microalgae was cultivated in the recycled medium, in which the highest lipid content (58.01 wt.%) was attained from photobioreactor 5 (cycle 2). On the contrary, the protein content (11.98 wt.%) of the microalgae in the recycled medium was considerably lower than the fresh medium (49.20 wt.%). These results suggested that the reuse of culture medium to grow microalgae is possible, however, it has a significant impact on the biochemical compositions of Chlorella vulgaris. Therefore, it is important to determine the desired product prior to reusing the medium for subsequent cultivation process.
The Role of Bioretention Plant on Nutrient Removal of Stormwater Runoff
Authors: Ali W , Takaijudin H , Yusof K W 
Published: April 2021

Abstract
Stormwater pollutants are one of the main problems causing environmental damage. The accumulated pollutants on urban impervious surfaces are carried by stormwater runoff and enter water bodies, therefore, caused ecological damage. To decrease the pollution effect of stormwater, best management practices (BMP), and low–impact development (LID) principles were introduced. Bioretention technology as one of these practices has been used to control stormwater quality. This technology stills not widely used in Malaysia. However, the design of bioretention system that used in Malaysia follows a conventional design and stills in the early stage. Therefore, this paper reviews the role of plants and their effect on bioretention performance in terms of nutrient removal. Bioretention system that vegetated with the plant was very effective on nutrient removal than without plant. In Malaysia, there is a need to develop the conventional bioretention system. Applying multispecies plant in bioretention system would be more effective on nutrient removal. However, limited studies have been conducted on the types of plant that are suggested in (MSMA). This paper recommends applying multispecies plant (mixture plants) to enhance the performance of conventional bioretention system in terms of nutrient removal.
Experimental investigation into the performance of the solar pond in Kerbala
Authors: Abbood M H , Alhwayzee M , Sultan M A 
Published: April 2021

Abstract
Solar ponds are a low-cost technology options for harnessing solar energy. An experimental model for a solar pond was designed for Kerbala, Iraq, with the aim of heating water. The surface area of the pond was 7.29 m2, at a depth of 1 m, and with walls tilted at an angle of 45°. The experiment was conducted in February, March, and April, in the winter and spring seasons of 2020. Two types of salt were used in this work: sodium chloride and potassium chloride. Solar radiation was recorded daily, and the measured solar irradiance ranged between 360 W/m2 and 1384W/m2. Solar radiation was focused on the surface of the pond using two reflecting mirrors, the first being a flat surface and the second a concave shape, with a concavity depth of 0.1 m. Both mirrors were 1 m long by 0.8 m wide. The experimental results showed that the highest temperature of water in the pond was 44 °C, achieved using sodium chloride, while using potassium chloride produced a maximum temperature of 40 °C. The useful energy and the experimental thermal efficiencies were found to be 28.2 MJ per hour and 11.6%, respectively.
Auto gain Ultra low signal transimpedance amplifier for Blood Diagnostic machine.
Authors: Desai Saroj R , Warke Nilima V , Nawatake Shivaji S 
Published: April 2021

Abstract
The front-end circuit of blood diagnostic machine consists of a light source, photodiode and transimpedance amplifier (TIA). Various researchers have used separate photodiode and the TIA circuit to measure absorbance for different wavelengths that made the circuit bulky and limited its application for measurement of specific parameters. At high gain of around 4000 plus normally any amplifier, including TIA becomes unstable. We are presenting here auto gain TIA that is stable and precise even at the gain of 4000. MSP432 32 BIT Arm Cortex 4 microcontroller with inbuilt precision analog to digital convertor is used for sensing, implementing auto gain selection logic and calculating the absorbance. With this circuit, we measured the absorbance up to 4.2 and satisfactory results with maximum error of 0.04 were achieved up to the range of 3.5 on the absorbance scale. Further, the performance of TIA is tested and found satisfactory for 300nm to 800nm wavelength range.
A review on green pavement hydrological design and recommended permeable pavement with detention storage
Authors: Bateni N , Lai S H , Ahmad Bustami R , Mannan M A , Mah D Y S 
Published: April 2021

Abstract
This paper reviews innovation of green pavement technology for storm water management in an urban environment. This can be related with hydrological performance and assessments of the permeable pavement. Features of the typical permeable pavement are presented and discussed. Topics covered include recognizing important of permeable pavement, stormwater management benefit and detailed hydrological properties and design. The information in this paper provides stakeholders with an overview of research and development of green pavement. In particular, it discussed the benefit and advantages of the green pavement in current use. On the other hand, the permeable pavement with subsurface detention namely StormPav is presented. The hydrological design modification and innovation, as well as hydrological design and stormwater management benefits have been summarised. Therefore provided another option for green pavement infrastructure series to be used in roadworks.
Mechanoluminescence behaviour on Eu2+/Dy3+ activated SrAl2O4 phosphor
Authors: Mishra Manish Kumar , Dubey Vikas , Mishra Pushya Mitra , Sachdev Taranjeet 
Published: April 2021

Abstract
Synthesis of Eu/Dy rare earth doped strontium aluminate phosphor or material with varying concentration of co-dopant (Dy3+) and fixed concentration of dopant (Eu2+) is reported inside the manuscript. Phosphor are prepared and synthesized by using the technique of solid-state reaction in reducing atmosphere and activated charcoal was used to create the atmosphere. Mechanoluminescence pattern were recorded for variable concentration of doping / co-doping ions and it is found with the increment in the concentration of co-dopant up-to 1 mol%, the ML intensity increases and after that the ML intensity decrement occurs due to the phenomenon of concentration quenching. Similarly, for the optimized concentration the ML pattern obtained for gamma – irradiated phosphor and it shows linear response with dose so our study supports the ML dosimeter application to detect the radiation via mechanoluminescence study. The suitable models are compared herein, which are already reported by so many authors.