bluuebunny/crossref_metadata_2025_split huggingface dataset:
The comparison between extreme learning machine and artificial neural network-back propagation for predicting the dengue incidences number in DKI Jakarta
Authors: Tiffany S , Sarwinda D , Handari B D , Hertono G F 
Published: March 2021

Abstract
The existence of COVID-19 in Indonesia is not the only disease which we must be aware of. The Health Ministry has said that Dengue Hemorrhagic Fever is as dangerous as COVID-19 and must also be treated with caution. Based on data, until July 2020, there are 71,633 dengue cases in Indonesia and DKI Jakarta has the sixth-highest dengue incidence number. One of the factors that affects the spread of dengue vector is weather. It is necessary to predict the number of dengue incidences so that the dengue handling and prevention efforts can be done optimally. In this study, the number of dengue incidences will be predicted by involving weather factors (rainfall, temperature, and humidity) using Extreme Learning Machine and Artificial Neural Network-Back Propagation and also comparing the both of their performance. The result shows that Extreme Learning Machine can give the dengue incidence prediction in DKI Jakarta with the best RMSE testing result of 0.04584, which is more accurate than the dengue incidence prediction that is given by using Artificial Neural Network-Back Propagation with 100 epochs. Moreover, Extreme Learning Machine can do the training process faster than Artificial Neural Network-Back Propagation.
Discovering Unusual Periodically Human Activity Patterns Through Fuzzy High Utility Rare Itemsets Mining
Authors: Ushio Soma , Iqbal Mohammad , Mukhlash Imam 
Published: March 2021

Abstract
Monitoring the resident activities is a key goal to build a safe and convenient environment in a smart house system. One way to capture the activity is by installing motion sensors around the house. By collecting the triggered sensor state, we attempt to find unusual activity patterns to notify suspicious movements or health issues information as our main goals. This study focuses to express the nature of time interval of each activity more clearly using fuzzy set. Next, this study employs fuzzy high utility rare itemsets mining to obtain some odd activities with different quantity of time intervals. Hence, we can determine how peculiar the activity. In this study, we analyzed the public human activity recognition dataset based on each single resident and their activities. As the results, we successfully catch the uncommon activity compared to the daily ones either fishy movements or sick, the illogical movement order, and the false alarm due to the limitation of sensor transmission.
Modelling and Verification of Cash Withdrawal Transaction in Automated Teller Machine Using Timed Automata
Authors: Hendrawan Ari Ramadhana , Adzkiya Dieky 
Published: March 2021

Abstract
This study was conducted to verify a system of Automated Teller Machine (ATM) which is a facility provided by a bank. Various transactions can be done by using ATM, including cash withdrawal, payment, and transfer. However, in spite of its function, ATM can also be a target of crime such as cash robbery and frauds. Therefore, the correctness of ATM and its security is essential and for that reason, formal verification is needed. Formal verification is a technique to ensure the model of a system to satisfy a certain specification. ATM has a time variable on its system. Therefore, timed automata can be used as a model of ATM. In this paper, an algorithm is constructed based on the ATM cash withdrawal steps. Next, we construct a timed automaton model and design nine specifications. Then, timed automaton were verified against these nine specifications using UPPAAL. From the verification results, it can be concluded that the security of the ATM system is guaranteed.
Study numerical scheme of finite difference for solution partial differential equation of parabolic type to heat conduction problem
Authors: Hanafi L , Mardlijah M , Utomo D B , Amiruddin A 
Published: March 2021

Abstract
The mathematical formulation of heat conduction problem along the rod involving rates of change with respect to two independent variablels, namely time and length leads to a partial differential equation of parabolic type. The initial and boundaries conditions are known. Finite difference approximations are used as a numerical method approach how to solve heat conduction problem. In this paper, numerical scheme of finite difference should be applied to construct and compute the temperature within a rod by explicit method, implicit method and Crank-Nicolson method.
Latent Class Cluster for Clustering Villages Based on Socio-economic Indicators in 2018
Authors: Riyanto A , Kuswanto H , Prastyo D D 
Published: March 2021

Abstract
Latent class analysis (LCA) is a statistical method used to classify units into unobserved (latent) variable classes, so-called clusters. In this article, we introduce LCA to demonstrate its use for village groupings. We applied LCA on data processed from the census conducted by BPS-Statistics Indonesia, namely the village potential (Podes) data 2018. The Podes data is used to extract the socio-economic characteristics of a village. The empirical results of the LCA application show that the villages in the Banyumas Regency are grouped into three classes/clusters.
Spatio-Temporal models with intervention effect for modelling the impact of Covid-19 on the tourism sector in Indonesia
Authors: Prastuti M , Aridinanti L , Dwiningtyas W P 
Published: March 2021

Abstract
Coronavirus is a virus that attacks the respiratory system, this disease due to viral infection is called Covid-19. Since it was found at December 2019 in China, the Covid-19 outbreak has spreads to several countries, one of them is Indonesia. This causes the tourism sector in Indonesia to decline drastically. Therefore, this study aims to analyze the impact of Covid-19 outbreak on the number of foreign tourist arrivals to Indonesia especially in Jakarta, Bali, and Surabaya. This data is ordered by times from several different locations and has a relationship with each other or is called spatio-temporal data. Furthermore, the data will be added the intervention variable is time where the covid-19 outbreak found in December 2019. The data will be analyzed using a spatio-temporal models. The result shows that seasonal GSTARX-GLS models tend to give more accurate forecast than VARX and seasonal GSTARX-OLS models.
Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO
2
Authors: Prakosa S E , Lestari D D , Dianawati R , Apriliani E , Arif D K , Herisman I , Akbar M S 
Published: March 2021

Abstract
Estimation distribution of air pollution is necessary to determine the level of pollution in a location so it can be used to recommend emission minimization. This research use some modification of Kalman Filter method for estimation distribution of air pollution. Three estimation methods namely Fractional Kalman Filter (FKF), Ensemble Kalman Filter (EnKF), Unscented Kalman Filter (UKF). The simulation result of three methods will be compared. Distribution of carbon monoxide and nitrogen dioxide in Surabaya was estimated using three methods. This reserach showed that Fractional Kalman Filter method is the best estimator among the others because error value is the smallest.
Cat bond valuation using Monte Carlo and quasi Monte Carlo method
Authors: Siyamah Imroatus , Putri Endah RM , Imron Chairul 
Published: March 2021

Abstract
The frequency of natural disasters is very small, but the loss of damage and the risks that must be borne is of enormous value. Recently, Catastrophe bond (CAT bond) has grown rapidly in financial markets to increase the coverage of environmental disasters and the resulting economic losses, insurance companies and reinsurers are barely covered. Catastrophe bond (CAT Bond) is one of the insurance-linked financial securities instruments that aim to transfer risk by insuring natural disaster events to the capital market. The model of natural disaster loss without a jump-diffusion process followed a model of geometric Brownian motion. We estimate and match each parameter in each model by using grid search and then we use the method of Monte Carlo and quasi-Monte Carlo to obtain numerical results for the CAT bonds pricing formulas. From this simulation, the Monte Carlo method has good enough accuracy and efficiency to valuates the CAT bond. Less then 500 iterations Monte Carlo have reached convergence in 1280.49 seconds. And quasi-Monte Carlo more efficient with less than 400 iterations have reached convergence in 30.89 seconds. Both methods have reached small enough MAPE. Based on the simulations carried out through this research, it was showed that the quasi-Monte Carlo method is better than the Monte Carlo method based on the value of Mean Absolute Percentage Error (MAPE) and running time.
Sentiment analysis and topic modeling of BPJS Kesehatan based on twitter crawling data using Indonesian Sentiment Lexicon and Latent Dirichlet Allocation algorithm
Authors: Dikiyanti T D , Rukmi A M , Irawan M I 
Published: March 2021

Abstract
In today’s era, company performance is influenced by quick and easy responses to interacting with users. Twitter is one of the social media which is believed that public opinion on Twitter can influence the government or companies to make policies. Public criticism on Twitter is more quickly responded than people who contacting customer service directly, this is because the companies or government do not want their image to be bad due to delays in responding to public complaints on Twitter. Studies related to opinion writing on social media can use the method of topic modeling and sentiment analysis in order to get what topics are currently being discussed and also the value of their sentiments. Modeling of the topic was carried out using Latent Dirichlet Allocation and sentiment analysis using the Indonesian Sentiment Lexicon. A case study of public opinion on BPJS Kesehatan using Twitter data for 3 months from February to April 2020, obtained 5 main topics with the BPJS Kesehatan’s New Contribution Rate as a trending topic with a sentiment value of 61.7% positive and 38.3% negative.
Application of Pascoletti-Serafini scalarization modification method to solve multi-objective optimization problems for stock portfolio
Authors: Mustika M , Mulyawati T , Apriyanto D K , Sausan A , Rofikah  
Published: March 2021

Abstract
One example of a multi-objective optimization problem is stock portfolio management. There are at least two objective functions to be achieved simultaneously, namely to maximize returns and minimize risk. The desire to maximize return and minimize risk are conflicting objectives. In this study, the problem of multi-objective optimization in the selection of Islamic stock portfolios will use the Pascoletti-Serafini scalarization modification method. Furthermore, the solution to the multi objective optimization problem is known as the Pareto optimal solution or efficient solution. In the Pascoletti-Serafini scalarization modification method, a set of Pareto optimal solutions can be constructed so that not only one solution is offered to decision makers, but a set of Pareto optimal solutions. From this research, the results obtained in the form of a set of efficient solutions that can be used as investor preferences in choosing the optimal stock portfolio.
Jacobi multipliers and Hamel’s formalism
Authors: Cariñena José F , Santos Patricia 
Published: March 2021

Abstract
In this work we establish the relation between the Jacobi last multiplier, which is a geometrical tool in the solution of problems in mechanics and that provides Lagrangian descriptions and constants of motion for second-order ordinary differential equations, and nonholonomic Lagrangian mechanics where the dynamics is determined by Hamel’s equations.
The Influence of Nonlinear Deformation-Wave Processes Induced by Seismic Effects on the Gas-Dynamic Activity of Coal Mines
Authors: Kiryaeva T A , Oparin V N 
Published: March 2021

Abstract
Starting in 1834, the article gives a historical review of the influence of nonlinear deformation-wave processes, including those induced by seismic effects, on the gas-dynamic activity of coal mines. Hypotheses that differ in respect to the role of gas, rock pressure or tectonic stresses in the excitation and development of sudden outbursts in Russia and abroad, as well as the interpretation of these hypotheses from a modern point of view, are considered. It is shown that there is a deterministic connection between nonlinear deformation-wave processes induced by natural-technogenic earthquakes and propagating in rock masses in the form of packets of pendulum waves of the “quasimeter” (0.11 ÷ 1 m / s) velocity range, and modes of increased gas-dynamic activity coal mines of Kuzbass.
Investigation and Evaluation Analysis on the Effect of Landscape Improvement in Zhuang Traditional Villages
Authors: Cui Muyang , Wang Xiaodong 
Published: March 2021

Abstract
Masa Village is located in Maguan County on the Sino-Vietnamese border. It is one of the traditional villages with Zhuang characteristics. This research takes the final construction effect of the “Masa Ten Scenery” in Masa Village as the specific research object, and uses SPSS software to carry out statistical analysis of variance through a combination of field investigation and big data investigation, and then obtains a comprehensive and objective evaluation result. To facilitate the summary and improvement of methods and measures, to better improve the level of renovation and design of ethnic minority villages, and to better guide design practices.
Research on the Regional Environmental Protection and Imbalance of Economic Development in Qinghai Province
Authors: Qing Xin , Li Juanyi , Zhao Falan 
Published: March 2021

Abstract
Due to differences in economic foundation, natural and geographical environment, and other factors, the regional economic development of Qinghai Province is unbalanced, and regional environmental protection is problematic. This paper uses the location entropy method and the coupling coordination model to evaluate the economic development and environmental protection of eight regions in Qinghai Province. Finally, combining the characteristics of economic development and natural environment in the main areas of Qinghai Province, corresponding countermeasures and suggestions are put forward.
Application of BIM energy conservation technology in conceptual design
Authors: Tang Haiyue , Yang Ruiyi 
Published: March 2021

Abstract
Energy is a necessity of social and economic development, and buildings account for one third of the world’s total energy consumption. To reduce the energy consumption of buildings is important in the energy conservation initiatives. In construction projects, energy-saving design can be implemented only when the construction diagrams are prepared, which leads to contradictions between the construction plan and the goal of saving energy. Therefore, it is necessary to emphasize energy conservation in the conceptual design of buildings. The BIM technology can provide a reliable basis for architects in energy conservation design. With BIM models introduced to energy-saving design, we can identify, convert and analyze the building data in the models to obtain architectural energy-saving analysis results more efficiently. With BIM technology, we can involve energy conservation in the conceptual design stage to provide a basis for energy conservation.
Applications of methane-based membrane biofilm reactor for oxidized pollutants removal from wastewater: a short review
Authors: Yang Jingjuan , Wang Yuhang , Chen Bo , Chen Yuchao , Zhang Xuehong 
Published: March 2021

Abstract
Methane-based membrane biofilm reactor (CH4-MBfR) is an emerging wastewater treatment technology based on gas-permeable membranes for oxidized pollutants (e.g., NO3
-) abatement. This paper reviews the operation principle of CH4-MBfR, the involved pathways in the aerobic/anaerobic methane oxidation coupled to denitrification (AMO/ANMO-D) process, as well as the recent key advances of CH4-MBfR for environmental applications.
Analysis of Bus Accessibility Based on GIS and Big Data of Crowd -- Taking Wansheng Economic Development Zone as an example
Authors: Xiao Hai , Liang Xu , Zheng Yuan , Xia Xinyi 
Published: March 2021

Abstract
Public transportation issues are increasingly becoming a key constraint to the sustainable development of urban economic and social development. Based on crowd big data and GIS spatial analysis methods, this article analyzes the accessibility of the public transportation in Wansheng Economic and Technological Development Zone (hereinafter referred to as the development zone). A comprehensive evaluation and analysis was conducted to study the matching relationship between population density and existing public transportation stations, and to propose the optimal suggestions. The results show that the overall public transportation accessibility in the development zone is average level, and the public transportation accessibility is better in the densest crowded areas, but in the east and southeast of the development zone, crowd activities are poorly matched with the public transportation network, and residents’ travel demands can’t get public transportation with timely responses.
Research on the method of responsibility division of transboundary water pollution
Authors: Yanqiong Ma , Manchun Liang , Qilin Zhao , Gang Xu , Mei Li , Xia Zhang , Chunyan Chen 
Published: March 2021

Abstract
With the rapid development of China’s economy and society, there has been a serious crisis in the field of water environment safety. Due to the mobility of water and the spatial distribution of water in the basin and other reasons, cross-border water pollution has become a major issue of general concern to the state and the whole society. In this paper, the scope of responsibility of pollutants is generated using the one-dimensional steady-state water quality dynamics based on the basic data of the target area, the corresponding basic data of water quality, water quantity, administrative scope and responsible person so on, so as to realize the comprehensive responsibility division of water quality of cross-border water bodies. The pollutant attenuation coefficient was used to calculate the pollution concentration of pollutants from the initial section of the upstream of the responsibility jurisdiction to the section of the river section at the end of the jurisdiction, which can avoid the calculation error caused by the concentration changes of the pollutants under the comprehensive effects of hydrology, hydraulics, chemistry, physics, geography, biochemistry, climate, location and meteorology in the process of transportation, and improve the accuracy of pollution liability definition of each administrative area.
Research on the Application of BIM in Environmental Art Design
Authors: Zhao Jingjing 
Published: March 2021

Abstract
The work of environmental art design involves multi-disciplinary fields. At the same time, we also need to complete multiple tasks such as information statistical processing, three-dimensional model construction, real-time scene simulation, and drawing construction drawings. Traditional two-dimensional design technology has been unable to meet the actual needs of environmental art design work. With the continuous development and maturity of BIM technology, it can provide a new structural system and information integration platform for environmental art design work. In this way, not only data information such as material properties and building structure can be highly integrated, but also the view frame can be accurately simulated and analyzed, and real-time scenes can be presented intuitively. In order to make the drawing of construction drawings more accurate and reasonable, BIM technology should be actively used to comprehensively improve the quality and level of environmental art design.
Research On the Change of Rainwater Quality in the Early Stage of River Discharge
Authors: Yanqiong Ma , Manchun Liang , Qilin Zhao , Chunyan Chen , Yuhan Cheng , Youzhi Huang , Gang Xu 
Published: March 2021

Abstract
The primary rainwater non-point source pollution is one of the main pollution reasons affecting river water quality. Based on the comprehensive analysis of the rainfall data, initial rainwater quality data and catchment area data, this paper obtains the variation rules and pollution characteristics of the initial rainwater quality at different catchment ranges of river outfall, and provides suggestions for the control of primary rainwater non-point source pollution of the target river outfalls. In the target River outlet of this study, the commercial area is the first to reach the peak of COD and ammonia nitrogen in the initial rainwater quality, and the living area is the highest in the initial rainwater COD and ammonia nitrogen concentration. Thus the control measures can be taken for the initial rainwater in the commercial area, and the key prevention and control measures can be taken for the higher concentration initial rainwater in the living area.
Evaluation of Suitability of Urban Human Settlement Environment Based on GIS -- Take Tianpeng Town Pengzhou City as an example
Authors: Xiao Hai , Bai Rong , Zheng Yuan , Xia Xinyi 
Published: March 2021

Abstract
The research objects of human settlement suitability evaluation are mostly cities or villages, and towns are rarely used for analysis and evaluation. This paper takes Tianpeng town of Pengzhou city as the research area, divides the human settlement environment suitability evaluation factors into three-factor layers, 18 index layers, combined with relevant standards and literature data. Analytic hierarchy process (AHP) is used to obtain the weight of each factor, and uses ArcGIS to calculate with buffer analysis, overlay analysis and other spatial analysis methods, and the evaluation results of human settlement in the study area are obtained. The results showed that unsuitable and particularly unsuitable areas accounted for 25.13% are mainly distributed in the southeast and southwest, and more suitable areas accounted for 74.87% are mainly distributed in the middle and east.
Improvement of Cultivation Quality of Future Environmental Protection Talents: from Scientific Literacy Aspects
Authors: Wang Chongyang , Zhang Ruyan , Zhang Shuai , Wang Lin 
Published: March 2021

Abstract
In recent years, as the development of environment science, new demands are needed for the cultivation of environmental protection talents. The improvement of scientific literacy has become an urgent need in the cultivation of undergraduate students major in environmental science and engineering. A good talent training model can promote the output of environmental protection talents and support the future environmental construction. In this paper, authors introduced the settings and practice of “Environmental Microbiology Practice” (EMP) in Miami College of Henan University. The teaching group of Miami College believed that EMP is the most suitable teaching link to help undergraduates understand the frontiers of the subject and improve scientific research thinking and did a series of reforms on the EMP course around (1) Current microbiological industry practice; (2) Frontier expansion of environmental microbiology; (3) Cultivation of scientific literacy. Combined with the students’ achievements and a questionnaire, the effectiveness of EMP has also been analyzed. By analyzing the practice of EMP in Miami College, this study provided an effective way for the improvement of scientific literacy and quality of undergraduate students. This cultivation idea and method is also of great significance for the cultivation of reserve talents of environmental protection who meet the needs of environmental scientific research and environmental protection in the new era.