bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance analysis of support vector machines with polynomial kernel for sentiment polarity identification: A case study in lecturer’s performance questionnaire
Authors: Pradnyana G A , Darmawiguna I G M , Suditresna Jaya D K S , Sasmita A
Published: March 2021

The lecturers’ performance evaluation process can be carried out using an open questionnaire filled out by students at the end of the semester. In this questionnaire, students can provide an assessment in the form of comments, suggestions, and criticism of the ’lecturer’s performance, which can describe the level of student satisfaction with the lecture process. Conducting assessments or analyses on the open questionnaire entries manually will certainly impact the high costs time and energy. Sentiment polarity identification is a process in sentiment analysis that classifies text into a sentence or document and then determines whether the opinion expressed is positive, negative or neutral. In this research, a sentiment polarity detection system was developed in a lecturer evaluation questionnaire using the Support Vector Machine (SVM) method with a polynomial kernel. The test results showed that the SVM method’s performance with the Polynomial kernel was strongly influenced by the value of the learning rate parameter, the maximum iteration, and the degree, with the optimal parameter values, respectively, 0.001, 200, and 0.3. The use of optimal parameter values in the process of identifying sentiment polarity obtained an accuracy value of 84.88%.
The design of the cse-ucla evaluation model using topsis and ahp methods for optimizing digital library services in badung regency
Authors: Atmaja I M D S , Divayana D G H , Setemen K
Published: March 2021

The Regional Archives and Library Office of Badung Regency must optimize the services provided in order to achieve excellent service quality. In its implementation, the office encountered difficulties in prioritizing aspects of services that require optimization. The purpose of this study was to design a Center for the Study of Evaluation-University of California in Los Angeles (CSE-UCLA) evaluation model using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP) to provide recommendations on which aspects of services need to be optimized. The research method used stages that included problem identification, problem formulation, literature review, data collection, data analysis, design, and conclusions. The TOPSIS and AHP methods had the ability to rank a variety of aspects in the CSE-UCLA model. Aspect with the lowest ranking was considered as the aspect that is prioritized for optimization. That aspects used five service criteria: tangible, reliability, assurance, responsiveness, and empathy, all of which were classified in the “benefit” category. Each criterion had a value of 0.200, 0.200, 0.200, 0.200, 0.200 for the weight values for system assessment, program planning, program implementation, and program improvement, while for program certification: 0.556, 0.111, 0.111, 0.111, 0.111, respectively.
Application of certain Third-order Non-linear Neutral Difference Equations in Robotics Engineering
Authors: Sindhuja S , Daphy Louis Lovenia J , Lavanya A P , Darling Jemima D , Jayabarathy G
Published: March 2021

We have obtained some results on oscillatory behavior of third order nonlinear neutral difference equations of the form

Δ
3

(

y

m
1

+
b

y

m
1

−

δ
1

−
c

y

m
1

+

δ
2

)

β

=

q

m
1

−
1

y

m
1

−

ρ
1

−
1

γ

−

q

m
1

y

m
1

−

ρ
1

γ

+

p

m
1

−
1

y

m
1

+

ρ
2

−
1

y

−

p

m
1

y

m
1

+

ρ
2

γ

Δ
3

(

y

m
1

+
b

y

m
1

−

δ
1

−
c

y

m
1

+

δ
2

)

β

=

q

m
1

−
1

y

m
1

−

ρ
1

−
1

γ

−

q

m
1

y

m
1

−

ρ
1

γ

+

p

m
1

−
1

y

m
1

+

ρ
2

−
1

y

−

p

m
1

y

m
1

+

ρ
2

γ

where β and γ are odd integers with γ ≥ 1. Example is provided to illustrate the results.
RETRACTED: A Review on Graph Theory in Network and Artificial Intelligence
Authors: Narayanan Kannaiyan Geetha , Pappula Bridjesh , Veerubommu Ragavi
Published: March 2021

The Mathematics field assumes crucial function in different fields. One of the significant territories in Mathematics is Graph theory which isutilized in basic models. We give a study of Graph theory utilized in computer sciences. The study comprises of a portrayal of specific themes from the Graph theory of the zone of Computer science where they are utilized. In any case, for each portrayed hypothesis we show the fields where it is utilized. For example in demonstrating and looking through Internet, in Computer science vision, design acknowledgment, information mining, multiprocessor frameworks, factual information bases, and in a few different regions. This paper gives a overview of the application of Graph theory in heterogeneous fields somewhat however chiefly centers around the software engineering applications that utilizations Graph theory ideas. Computer Science and Artificial Intelligence applications and an overview has been presented in this article.
Ethical hacking and penetration testing for securing us form Hackers
Authors: Pradeep I , Sakthivel G
Published: March 2021

Almost all the people around the world are fully equipped with technologies and software’s. But the how many are really using it wisely, we as the creators of all technologies are being governed by such a technology itself. The software’s are being discovered every day and each one provides a new facility and a hidden disadvantage in it. Many people don’t even have the basic knowledge of what they are doing and that’s the main reason for all cyber-crimes and security breaches. It has become responsibility of every citizen who is using a tech to keep their information safe and secure from others. Be aware of what we are doing in mobiles, laptops, PCs, etc.… since a small activity could lead to great crisis.
An Empirical Exploration of Artificial Intelligence in Medical Domain for Prediction and Analysis of Diabetic Retinopathy: Review
Authors: Deshmukh S V , Roy A
Published: March 2021

The country like India, the majority of people suffering from diabetic retinopathy, is caused by diabetes. Diabetic retinopathy may affect the eyesight of diabetic patients. This paper aims to explore the basics to advance artificial intelligence technology uses to detect diabetic retinopathy. The paper focuses on how different artificial intelligence methods will help detect diabetic retinopathy early, and it is more crucial to recover the vision for timely treatment. Various diabetic retinopathy detection methods are available for diabetic retinopathy, different datasets used in different ways some researcher uses primary datasets, and some use secondary datasets like eyepacs, messidor, kaggle, drive, and many more. Many of these datasets acquired by retinal fundus camera, which in the type of images or .cvs, it is again raw and manual annotations. Many machine learning and deep learning algorithms verify the specificity, sensitivity, and accuracy or classify different stages of diabetic retinopathy. The analysis included many retinal datasets; many artificial algorithms that use many methods and apply on different datasets that give different results vary between sensitivity 85% to 95%, specificity 85% to 96%, and accuracy 87% to 99%. This paper describes diabetic retinopathy’s detection with three primary facets; retinal datasets, methods to detect diabetic retinopathy, and performance evaluation metrics. To defeat the research challenges of the researchers that overall study and observations provide the clue in the field of diabetic retinopathy.
Methods of Detecting Image forgery using convolutional neural network
Authors: Leekha Alka , Gupta Arpan , Kumar Amit , Chaudhary Tarun
Published: March 2021

Image Forgery means manipulation of the digital image so as to hide the necessary information or to convert the image into something which can be used for illegal mo-tives.Differentiating between an original image and a tampered image is a strenuous work for a human being. Machines can do that easily for large amount of data with the help of many artificial intelligence technique and mathematical approaches that are used to develop a system which will help in recognizing whether the image is tampered or not. In this paper Various models like CNN , Hashing , DCT, DWT will be discussed.This paper also discussed about the implementation of CNN done on a data set to figure out a model which is best suited for the development of an image forgery detection system.
Hexafunctional Autonomous Robotic Cart (HARC) for Covid Wardsminimizing human contact risk
Authors: Mahore Rupesh , Mahore Gunendra
Published: March 2021

Medical robotics has shown a significant uprising in the era of COVID 19 global pandemic. With the medical and paramedical staff being in the frontline of this deadly virus it is really important disseminate simpler technologies integrated together to protect them and provide nascent solutions to the problem of contact risk in hospitals. In this paper we have proposed and designed a Hexafunctional Autonomous Robotic Cart (HARC) for covid and isolation wards. The design with its simplicity, durability and cost effectiveness offer a great aid to the healthcare system in not only maintaining social distancing and minimising contact risk but also diagnosing the health of patient and establishing active communication with the concerneddoctor.
Diabetes Mellitus and Diabetic Retinopathy Detection using Tongue Images
Authors: Stephen Sagayaraj A. , Kabilesh S K , Anand Kumar A. , Gokulnath S. , Mani T. , Dinakaran K
Published: March 2021

Diabetes Mellitus is a metabolic disorder caused by increasing blood sugar level. This includes invasive test to detect and diagnose. The image processing technology is introduced to diagnose through non-invasive method. Color, texture and geometry features are extracted. Color gamut is extracted to isolate the same kind of features. The color feature is represented from the extracted gamut. The feature based on distances, height, surface area, width are extracted. The SVM classifiers is used to differentiate the diabetes mellitus affected person and healthy person.
Some Results on Prime Cordial Labeling of Lilly Graphs
Authors: Parthiban A. , Sharma Vishally
Published: March 2021

A PCL of G is a bijective map g from V to {1, 2, 3, |V|} in such a way that if an edge st is given label 1 if GCD(g(s), g(t)) = 1 & 0 otherwise, then the edges given 0 & 1 differ by at most 1 i.e; |eg
(0) − eg
(1)| ≤ 1. If a graph permits a PCL, then it is called a PCG. In this paper, we prove that lilly graph admits a PCL. Further, we have shown that lilly graph under some graph operations like switching of a vertex, duplication of a vertex, degree splitting graph and barycentric subdivision admits a PCL which may find its application in the development of artificial intelligence.
Structural damage identification based on dynamic deflection sensitivity of bridge under vehicle loading
Authors: Li Yue , Zhang Kun
Published: March 2021

Based on the concept of dynamic response sensitivity, a method of identifying bridge structural damage by using the dynamic deflection response of bridge under vehicle load is proposed. Firstly, the dynamic equation of vehicle-bridge coupling dynamic system is established. And then, the basic principle and iterative identification process of bridge damage identification based on dynamic deflection response sensitivity are derived. Finally, the effectiveness of the algorithm is verified with a numerical example of three-span continuous beam vehicle-bridge coupling system. The research results show that the proposed algorithm can overcome the influence of measurement noise and initial model error, and realize the damage location and quantification of bridge from dynamic deflections of a few measuring points.
The utility model relates to a system for absorbing, storing and reusing harmful gases in municipal sewer system
Authors: Tan Xiaolong , Tu Mingxi , Tao Menglun , Li Kuangxi
Published: March 2021

With the acceleration of urbanization, the scale of urban sewage drainage systems is also getting larger and larger. The pipeline sewage carries a large amount of domestic garbage and sludge after being decomposed by microorganisms, which produces a large amount of toxic, harmful, flammable and explosive gases, such as methane (CH4) and hydrogen sulfide (H2S). When these gases are concentrated in the drainage pipe, it is a serious safety hazard. If these gases are directly discharged into the atmosphere, it will pollute the environment on the one hand, and waste resources on the other. In order to solve this important problem, this paper designs a system for the absorption, storage and reuse of harmful gases in urban sewage pipelines for hydrogen sulfide and methane. The hydrogen sulfide and methane gas are absorbed by the gas adsorption device, and then the gas is pumped out of the adsorption device by a solar driven pump and stored in the gas storage device.
RETRACTED: Design of life assistance device for the elderly based on artificial intelligence
Authors: Li Wei
Published: March 2021

With the development of the times, China has entered a stage of aging population. Because of the increase of age, the elderly are often hard to finish like bend over, squat such simple actions, which brought great challenge to the basic life of old people. Some basic activities such as walking and the toilet, are very difficult for them. In order to guarantee the basic life of the elderly, a kind of life assistance device for the elderly based on artificial intelligence is designed to help the elderly in walking and toilet. The mechanical structure of the device mainly consists of five parts, namely, walking mechanism, lifting mechanism, rotating seat cushion mechanism, rotating handrail mechanism and pulling rod backrest mechanism. The control part is mainly based on voice recognition technology. The device is simple in structure, convenient in operation and low in cost. Compared with the existing life assistance devices for the elderly, the device has more complete functions, which better solves the difficulties of the elderly in walking and using the toilet, and provides great convenience for the elderly.
Modal parameter identification of rotating machinery based on time domain synchronous averaging
Authors: Zhang Zhuzhu , Wang Ting , Deng Congying , Zhao Yang , Deng Haiyan
Published: March 2021

Operational modal analysis (OMA) is an important method of structural dynamic design and mechanical fault diagnosis. It is the application of parameter identification in the field of engineering vibration. Traditional operational modal analysis is based on the random response of white noise. However, when rotating machinery structure is running at high speed, it will produce a lot of harmonic interference, which will affect the identification effect. In this paper, the time domain synchronous averaging technique is used to remove the periodic harmonics in the response. For the random response part, the method of combining NExT and ITD is used to identify the modal parameters.
Elevator group control strategy and software design in high-rise office building
Authors: Wang Yanlin , Jiang Tao
Published: March 2021

Elevators are widely used in high-rise buildings. Especially in high-rise office buildings, multiple elevators are usually installed to meet the commuting needs of a large number of workers. How to dispatch multiple elevators efficiently is particularly important. As a widely used controller in industry, PLC has the characteristics of high reliability, fast calculation speed, and easy programming and installation. The PLC is used to make real-time comprehensive judgments of elevator car position, running direction, load situation and call signals situation. Then the optimal elevator is selected to reduce the waiting and boarding time of passengers.
Reliability Evaluation Method of Torpedo in Service Based on Conditional Reliability
Authors: Wang Xinpeng , Meng Bo , Xu Dong , Yang Tao
Published: March 2021

In order to effectively evaluate the reliability index of in-service torpedo, combined with the actual use of torpedo, the reliability evaluation method of in-service torpedo based on conditional reliability is proposed. On the basis of determining the failure distribution under the single state of components, the variation of the reliability distribution of the components after several states are studied. Based on the fault tree structure function, the reliability simulation model of torpedo is established, and the Monte Carlo method is used to establish the simulation solution process, so as to obtain the reliability parameters of torpedo. This method is simple and easy to implement, and has important guiding significance for evaluating the reliability of in-service torpedoes.
Application of Electronic Information Technology in Electrical Automation
Authors: Zhou Zihang , Geng Yuyin , You Shikun , Ziteng Chen , Nong Yuan
Published: March 2021

With the further development of the industrial revolution, various regions in the world have entered the era of industrial economy one after another. And modern science and technology go deep into all walks of life at the same time in the industrial field has made great changes. This makes the domestic electrical automation technology tend to change to the level of intelligence, automation and information. In order to better strengthen the integration of electronic technology in the industry, an effective application strategy is put forward for the specific application of electronic information technology in electrical automation.
EEG signal classification method based on improved empirical mode decomposition and SVM
Authors: Zhang Zihao , Li Zhiyi , Ma Ting , Zhao Jiayu
Published: March 2021

Epilepsy is a common phenomenon formed by abnormal discharges between brain neurons. The seizures of epilepsy are sudden and irregular. As a non-stationary signal, EEG signals can express its characteristics to a certain extent, and makes a significant difference in the monitoring and treatment of epilepsy diseases. This study employs empirical mode decomposition (EMD) to decompose the interictal and epileptic EEG signals into multiple eigenmode functions (IMF), and combines the correlation coefficient to screen the main IMF and extract its variance, fluctuation coefficient and Coefficient of variation and other features, combined with support vector machines for classification. Compared with the traditional empirical mode decomposition, this method has higher accuracy in the identification and classification of epileptic signals. The combination of this method not only provides a theoretical method for disease diagnosis and treatment, but also verifies the research and application value of EEG signals to a certain extent.
Learning of Zero-Velocity Detection for Inertial Pedestrian Navigation
Authors: Chen Ze , Pan Xianfei
Published: March 2021

The detection of zero-velocity states is the vital prerequisite for zero-velocity update in the foot-mounted inertial pedestrian navigation system. The previous zero-velocity detector determines zero-velocity states by comparing measured inertial data with a calibrated threshold. The calibration of the threshold is inconvenient for this kind of the zero-velocity detector because the threshold is variable corresponding to different people and locomotion. The best threshold needs to be tuned corresponding to different situations. In essence, the detection of zero-velocity states is a binary classification problem. As the success of deep learning in in image classification and speech recognition, it is possible to design an adaptive zero-velocity detector based on it. A Siamese network is designed to learn the metric of distinguish zero-velocity states. This method can adaptively get the most likely correct results without threshold tuning. Experiments are conducted and results show that the matching degree is about 96.31% and the navigation accuracy can reach within 4m in 20min.
Simulation research on miniature planar induction heater with cavity
Authors: Liu Bendong , Ma Chenxu , Dong Shijie , Tan Jingkai
Published: March 2021

This paper studies a new type of miniature planar induction heater through simulation. The miniature plane induction heater consists of a metal heating plate, a glass slide and a plane coil. The metal micro heating plate is designed with a cavity of a specific size. Since the cavity contains residual gas, when the micro heating plate is heated, hot bubbles will be generated in the cavity better and faster. Through the analysis of the energy density, eddy current density, and temperature distribution of the metal micro heating plate, it is found that the cavities play a very good role in the concentration of eddy current and the increase of energy. This kind of micro planar induction heater can be used for various hot bubbles to drive micro execution devices, such as micro ejectors, micro mixers and micro pumps.
On the Design of Open Source Programming Language in Noise Pollution Interaction Installations
Authors: Xinyun Fang
Published: March 2021

With the progress of time and the development of science and technology, interactive installation art, as an important and novel part of the new media art, is becoming more prominent on the stage of major international exhibitions. Artists create a new experience in a variety of perceptions using the unique language of interactive installation art to stimulate people’s inspirations through their interaction with the works, and to trigger in-depth thinking. This new art form shortens the distance between art and the public and gives people novel experiences in the interaction. Taking the work “Uncomfortable” as a case study, this paper shows the harm of noise pollution to human bodies with the help of Processing and Arduino, studies the practical value of program design in interactive installation art, discusses the influence of open source programming language on the future development of interactive installation art, and provides new ideas for further integration of future art and technology.
Analysis and comparison of Gaussian noise denoising algorithms
Authors: Jia Mingchen , Dong Mingming
Published: March 2021

Collecting and processing various images has become an irreversible trend. It is meaningful to conduct more in-depth research on image denoising algorithms. We proposed mean filtering, median filtering, wiener filtering and wavelet filtering to denoise the image with Gaussian noise separately. And the objective image quality assessments are used to evaluate the quality of the images after denoising. Among them, wavelet filtering and Wiener filtering have a better effect on weaken Gaussian noise. Mean filtering and median filtering can also weaken Gaussian noise to some extent but the effect is limited. At the same time, it is equally important to select the appropriate denoising block for the diverse mean and variance of Gaussian noise. In wavelet filtering, the number of layers to be decomposed and the choice of threshold will also affect the effect of image denoising.
Optimization of Primary Frequency Regulation of 650MW Thermal Power Plant
Authors: Liu En ren , Li Jun , Gao Song , Meng Xiang rong , Shi Shuo , Yu Qingbin , Li Yuan yuan , Yan Qing
Published: March 2021

Wind power and photovoltaic power generation are developing rapidly, and installed capacity accounts for an increasing proportion of the power system. However, most new energy power stations are not equipped with energy storage equipment. Wind power and photovoltaic power generation do not yet have primary frequency modulation capabilities. For a long time in the future, the participation of thermal power generation in primary frequency modulation will still be the main method of primary frequency modulation in my country. The primary frequency regulation capacity of the combined heat and power unit often fails to meet the requirements due to heating. This article takes a 650MW thermal power heating unit as an example, and optimizes the primary frequency regulation of the unit. After optimization, the primary frequency regulation capacity of the unit is greatly improved. The optimization method in this paper has certain guiding significance for the optimization of primary frequency regulation of other heating units.
A high isolation RF switch designed for amorphous flat air-ground ad-hoc network platform
Authors: Zhu Weizhi , Yu Jianguo , Wang Zhifang , Bi Kun
Published: March 2021

In this paper, a single-pole, double-throw (SPDT) RF switch is designed for the amorphous flat air-ground ad-hoc network platform, which is used to connect the node, low noise power amplifier and power amplifier. The switch controls the transmission and reception of signals in the node according to the variation of excitation voltage. The simulation results show that the RF switch insertion loss is less than 1.5dB, isolation is more than 40dB and the 0.1 dB compression is 38dBm in the frequency band 2.4GHz to 2.5GHz, which can meet the requirements of the ad-hoc network platform. Networking tests results showed that the topology of ad-hoc networks remains stable within a certain distance and the direction of signal in the node is controlled by the switch.
Research on the System Safety Assessment of Aero Engine based on the Monte Carlo
Authors: Fang Guo , Huiyun Yang , Jiawei Liu , Zijiang Yang
Published: March 2021

The process of research and development on the aero engine is complicate and iterative. Essentially system safety assessment is an indispensable part of the development process. Taking safety assessment of “Extinguishing lapsing when Request” as an example, this paper develops a Monte Carlo calculation model which calculates the probability combination of basic events as the security requirements from top event change. The Monte Carlo model offers a method to calculate from top events request to the basic events.
Integrate health into decision-making to foster climate action
Authors: Vandyck Toon , Rauner Sebastian , Sampedro Jon , Lanzi Elisa , Reis Lara Aleluia , Springmann Marco , Dingenen Rita Van
Published: March 2021

The COVID-19 pandemic reveals that societies place a high value on healthy lives. Leveraging this momentum to establish a more central role for human health in the policy process will provide further impetus to a sustainable transformation of energy and food systems.
Rotating maize reduces the risk and rate of nitrate leaching
Authors: Pasley Heather , Nichols Virginia , Castellano Michael , Baum Mitchell , Kladivko Eileen , Helmers Matthew , Archontoulis Sotirios
Published: March 2021

There is a strong link between nitrate (NO3-N) leaching from fertilized annual crops and the rate of nitrogen (N) fertilizer input. However, this leaching-fertilizer relationship is poorly understood and the degree to which soil type, weather, and cropping system influence it is largely unknown. We calibrated the Agricultural Production Systems sIMulator process-based cropping system model using 56 site-years of data sourced from eight field studies across six states in the U.S. Midwest that monitored NO3-N leaching from artificial subsurface drainage in two cropping systems: continuous maize and two-year rotation of maize followed by unfertilized soybean (maize-soybean rotation). We then ran a factorial simulation experiment and fit statistical models to the leaching-fertilizer response. A bi-linear model provided the best fit to the relationship between N fertilizer rate (kg ha−1) and NO3-N leaching load (kg ha−1) (from one year of continuous maize or summed over the two-year maize-soybean rotation). We found that the cropping system dictated the slopes and breakpoint (the point at which the leaching rate changes) of the model, but the site and year determined the intercept i.e. the magnitude of the leaching. In both cropping systems, the rate of NO3-N leaching increased at an N fertilizer rate higher than the N rate needed to optimize the leaching load per kg grain produced. Above the model breakpoint, the rate of NO3-N leaching per kg N fertilizer input was 300% greater than the rate below the breakpoint in the two-year maize-soybean rotation and 650% greater in continuous maize. Moreover, the model breakpoint occurred at only 16% above the average agronomic optimum N rate (AONR) in continuous maize, but 66% above the AONR in the maize-soybean rotation. Rotating maize with soybean, therefore, allows for a greater environmental buffer than continuous maize with regard to the impact of overfertilization on NO3-N leaching.
Reduction and reconstruction of SDEs via Girsanov and quasi Doob symmetries
Authors: De Vecchi F C , Morando P , Ugolini S
Published: March 2021

A reduction procedure for stochastic differential equations based on stochastic symmetries including Girsanov random transformations is proposed. In this setting, a new notion of reconstruction is given, involving the expectation values of functionals of solution to the SDE and a reconstruction theorem for general stochastic symmetries is proved. Moreover, the notable case of reduction under the closed subclass of quasi Doob transformations is presented. The theoretical results are applied to stochastic models relevant in the applications.
Filling space with polydisperse spheres in a non-Apollonian way
Authors: Botet Robert , Kwok Sylvie , Cabane Bernard
Published: March 2021

Completing a Swiss-cheese theorem of Lieb and Lebowitz (LL), we prove that any population of spheres with power-law radius distribution

∝

1
/

r

d

f

+
1

can completely fill 3D Euclidean space if the exponent is such that 2.8 ⩽ d
f < 3. This sufficient condition extends considerably the known part of the ensemble of space-filling populations of polydisperse spheres. The self-similar spatial arrangement of the polydisperse spheres related to the theorem is discussed using a numerical example with d
f = 2.875. By calculating the small-angle scattering structure factor of the resulting packing, we found it to present several crystalline peaks indicating some regularity. This is significantly different from the featureless structure factor of an Apollonian packing which represents total disorder. We thereby argue that the LL algorithm for filling space with spheres is fundamentally different from Apollonian constructions.
The distributional pattern of zooplankton community in beratan lake, bali
Authors: Atmaja D M , Budiastuti M S , Setyono P , Sunarto
Published: March 2021

Zooplankton is an important component in water ecosystem that has a distribution in spatial and time scale. The distribution and diversity of zooplankton as one biological indicator of quality of the water way. This study was aimed at looking at the description of the distributional pattern and the abundance of zooplankton and Beratan Lake. Five sampling stations were determines based on the deeps of the lake using the field survey method, i.e., LB 1, LB 2, LB 3, LB 4 and LB 5. The zooplankton sample was taken from each stations by using Chaoborus net NXX 10 (the eye of the net size was 132 µ, then the zooplankton was preserved with 4% formalin solution. After being identified, there was five species, 4 Cladocera species and 8 rotifera species. The highest of abundance for copepod group was Thermocyclops. Diaphanosoma was Cladocera group which was mostly found. Conochilus unicornis was the most dominant rotifer.
Modified estimation of land values with spatial weight in bandung city
Authors: Sugito N T , Soemarto I , Hendriatiningsih S , Leksono B E
Published: March 2021

Land valuation is one aspect of a cadastral system that is integrated with land use and land tenure. Land can be valued based on the benefits that can be given. High and low land values are influenced by many factors, including economic, social, government, and physical factors. Based on factors that can determine the value of land, it is known that land use (zoning) can also affect the formation of land values. Several studies have stated that land use is the most dominant factor affecting land values. This study uses geostatistical analysis in modeling soil values. The purpose of this research is to modify the mathematical model of soil values from geostatistical analysis by including spatial weights. The mathematical model of the modified land value is expected to reflect the actual value, which can then be used in creating a Land Value Zone.
The utilization of kesumba seeds for coloring Biawak (varanus salvator) leather with dyeing and finishing methods based on environmentally friendly
Authors: Darmawati E , Yuhana S , Sutopo
Published: March 2021

The aim of the study was to utilize kesumba seeds (Bixa orellana L) for coloring Biawak (Varanus salvator) leather dyeing and finishing methods against color fastness based on environmentally friendly. The ingredients used are kesumba seeds, Biawak leather, binder from white part of egg. Using the experimental methods, with four phases :(1) extraction of kesumba seeds wet and dry, (2) dyeing methods variations: (a) dye concentration from kesumba seeds, (b) dyeing durations (c) temperature (°C), Rpm of the drum 12, and crust Biawak leather, (3) finishing method using binder from white part of egg, and (4) testing Absorption and color fastness test on wet and dry rubbing, the assessment standard uses a gray scale and staining scale. Data analysis using Analysis of variance. The results shows that there significant differences in color absorption in the flash asverages are 80-70 % and nerf asverages are 60-40%, and results of Biawak leather fastness test for dyeing and finishing methods, dried kesumba seeds concentration 9%, dry rubbing discoloration 4-5 (good) fastness, orange-yellow color on the leather and wet kesumba seeds concentration 6%, 3-4 fastness (good enough), orange-red color on the leather and the results of wet rubbing are found to have an average color fastness value of 3 (enough) for wet and dry kesumba. It can be concluded that coloring from kesumba and binder material ingredients based on environmentally friendly can be used as a dyeing material and also for finishing as an alternative substitution of synthetic dyes in the Leather Industry.
Managing sewage treatment facilities using geographical information system application: a user requirement analysis in state of Penang, Malaysia
Authors: Idris M Z , Suratman R , Samsudin S , Zaini F
Published: March 2021

Rapid development of economy in Malaysia and the large city scale expansion has led to increase in number of domestic sewage and industrial water waste. In managing sewage treatment facilities, Indah Water Konsortium Sdn Bhd (IWK) has developed the Integrated Geographical Information System (IGIS) to help them in decision making process. The face to face interview method with IGIS users has been used in getting the feedback on examining the main attribute data needed and then analyze it by using content analysis. It is conducted by updating the required attribute data into the IGIS application and removing unrelated attributes. In addition, the spatial information that can help to improve the IGIS application also be included in new version. Based on the findings of this paper, the improvement of this information will help the IWK to manage this sewerage system more effectively and to control the increasing number of sewerage treatment plant (STP). The upgraded IGIS application improves the management efficiency, management level and decision-making capacity of sewage treatment in state of Penang and provide a good demonstration and reference in sewage treatment infrastructure in others city.
The impact of ecotourism on the water quality in sedim river, kedah, malaysia
Authors: Hashim M , Ali M S M , Nayan N , Mahat H , Saleh Y , Norkhaidi S B , See K L , Said Z M
Published: March 2021

This study was aims to evaluate the impact of ecotourism on the water quality in the Sedim River Recreation Centre, Kulim Kedah, Malaysia. Ecotourism activity development, such as chalet construction, homestay, recreation for picnics, kayaking and proper disposal of solid wastes in the area, will affect the quality of Sedim River. The period of this study was conducted between February to April 2018, with six time water sampling during this period. Sample water quality was then analysed using the Water Quality Index (WQI) in situ and in the laboratory, as set by the Malaysian Department of Environment. Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammonia Nitrogen (NH3N), pH and Suspended Solid (SS) were used as water quality parameters. The findings show that the value of WQI Sedim River is in Class I and II, with WQI=92.3 as an average value that safe for raw water supply, suitable for fish rearing and water activities such as water rafting and kayaking. This shows that the unpolluted and clean status of the Sedim River water allows ecotourism activities to go further and at the same time can attract foreign tourists to come. Although, management will have to take more precise measurements of the water and plan for any development activities to be undertaken in the future to maintain the clean condition status of the Sedim River water quality.
Care environment attitudes of high school students in surakarta city 2019
Authors: Rahmadi I W , Sarwono  , Muryani C
Published: March 2021

This study aims to determine the environmental care attitude of the XI grade students of Surakarta city high school conducted in July 2019 with quantitative descriptive approach. The population is all public high school students in Surakarta. Samples were taken from 4 public high schools using the simple random sampling method. Data collection using a questionnaire. The results of the study indicate that: indicators (1) Working hard in protecting nature is included in a good level; indicator (2) Thinking far ahead includes a good level; indicator (3) Appreciating hygiene health including good levels; indicator (4) Environmental responsibility is included in the good level. Thus the overall level of environmental awareness of high school students in Surakarta is included in the good level.
The actualization of student’s disaster preparedness at the elementary and secondary education level of disaster-aware school
Authors: Wardana S , Herdiansyah H , Wicaksono A
Published: March 2021

As a country located in the ring of fire, the Republic of Indonesia is one of the countries with the highest potential status of disasters in the world and causes great material and moral damage. This phenomenon is one of the big challenges in achieving national development goals. Among the efforts to reduce the impact of disasters is to increase disaster preparedness by all elements of society, especially in the education sector through the application of the concept of Environment and Disaster Mitigation-Based School (SWALIBA). The big goal to be achieved from the application of the SWALIBA concept is to shape the attitude and mentality of disaster preparedness from an early age. This research focuses on measuring the level of disaster preparedness for elementary and middle school students in the central part of Java who have applied the SWALIBA concept. The method used in this study is structured interviews and systematic measurements using a questionnaire to analyze and find scientific correlations between school strategy variables and the level of student disaster preparedness. The results showed that although students’ perception of disaster preparedness began to take shape, it had not yet reached the expected level of disaster preparedness.
Spatial thinking profile for 2017 surakarta senior high school
Authors: Imaniar N , Karyanto P , Yusup Y
Published: March 2021

This study aims to analyze the profile of Spatial Thinking in Surakarta Senior High School. This research is a descriptive study to obtain Spatial Thinking data in Surakarta Senior High School 2017. The assessment using 8 aspects of spatial thinking abilities covered by STAT include comprehending orientation and direction; comparing map information to graphic information; choosing the best location based on several spatial factors; imagining a slope profile based on several spatial factors; correlating spatially distributed phenomena; mentally visualizing 3-D images based on 2-D information; overlaying and dissolving maps; comprehending geographic features represented as point, line,or polygons. The results of the study indicate that Spatial Thinking in Surakarta Senior High School 2017 is relatively low, as evidenced by the average score of the ability to comprehending orientation and direction aspect which have a mean score above standard average of 74,9. The lowest aspect is visualizing 3-D images based on 2-D information of 11,2, these findings will be used as a basis for further research on innovative learning models and strategies that can improve cognitive abilities and Spatial Thinking in high school students.
Collaboration learning: project-based learning and local wisdom
Authors: Nurdiansah N , Kartadinata S , Maryani E , Supriatna N
Published: March 2021

The application of the understanding of ecoliteracy in schools is a problem that is widely studied to make students able to live and feel the pleasure of the surrounding environment. This study aims to improve students’ understanding of ecoliteracy. This research was conducted using a medote survey of 50 elementary school students in Tasikmalaya District Indonesia. The results of the study illustrate that project-based learning in elementary schools that collaborate with the local wisdom of the Kampung Naga make learning more active, enthusiastic, and happy. The learning situation certainly has an effect on their understanding of ecoliteracy, so it can be concluded that project-based learning that collaborates with the local wisdom of the Kampung Naga has improved the participation of student ecoliteracy.
The role of education and geography on disaster preparedness
Authors: Maryani E
Published: March 2021

The preparedness of disaster is important to be socialized as Indonesia is one the most disaster-prone are. One way to improve this preparedness is through education. The purpose of this study is to analyse the school curriculum relating to the disaster preparedness and to find out the way disaster material delivered by the teacher. The method used was descriptive qualitative. The data gained through documentation, literature review, and interview. The result shows that disaster material was not optimally discussed in the school curriculum. The teachers’ understanding of the material were also considered as low. They also did not use various learning media to give the understanding to the student of the importance of disaster preparedness.
Conceptual interpretation seismic 3d using rms amplitude and dip-azimuth attribute analysis for identification structure and facies model in physical geographic
Authors: Pamungkas T D , Nandi  , Ridwana R
Published: March 2021

Interpretation of seismic 3D data using attributes analysis to determine the condition of the subsurface geology and distribution facies as physical geography study. The results of interpretation formed surface horizon analysis of structures located in the southwest (SW) is the high of the continuous anticline to the northeast (NE) and the structure of the valley are in the south (S) continuously until the northeast (NE). From the results of the RMS amplitude attribute map shows that high amplitude anomalies uneven section southwest (SW). Show areas indicated as coal facies deployment area and assuming a low impedance possibility for the existence of coal facies. The map dip, azimuth, dip-azimuth can be analyzed map depicts stance or azimuth direction and dip (slope) time domain structure with angle pattern shown seismic trace with section 4501 and the arbitrary line a - b and line c - d clarify seen a pattern of fractures (faults) on a small scale where the direction nearly perpendicular to the strike of major fault.
A numerical study of tidal run up and inundation impact using logical tool-less than equal
Authors: Trihatmoko E , Pratiwi E S , Juhadi  , Sanjoto T B , Sunarto  , Marfai M A
Published: March 2021

Kendal Regency as Special Economic Zone and Industrial Park is stimulating the rapid coastal urban growth. This condition initiates the high risk of disaster in the northern Central Java. The research aims to model the tidal run-up and spatial inundation distribution using numerical calculation of logical tool-less than equal and to identify the land uses that are affected by the tidal run-up and inundation in the Kendal coastal area. This research conducted by the digital elevation model in 7 m spatial resolution and the highest high-water level (HHWL) data in the one-year analysis. Furthermore, the data processing was run using Less than equal tools. The result showed that the HHWL condition in 2018 reached up to 0.35 m. Considering the HHWL data, the eastern coastal area of the Kendal Regency is massively being affected by the tidal run-up and inundation. The furthest distance of the tidal run-up and inundation reached up to 3.7 km. There are six land uses affected, i.e., built-up area (0.04%), garden (2.01%), dry land (4.89%), grassland (5.09%), a fish pond (41.95%), and paddy field (4.24%).
Resilience in the face of flash floods, landslides and mudflows: the experience of tourist spots in cameron highlands
Authors: Leh F C , Mokhtar F Z
Published: March 2021

The flash floods, landslides and mudflow in Cameron Highlands are catastrophes which threaten local life and economic activities which depend on tourism activities. Several series of flash floods, landslides and mudflows which occurred in 2014, 2016 and 2018 in Cameron Highlands illustrate that they are the biggest threat to the highland tourism spot in the coming future. This tourist spot may face the risk of being unvisited for a while because of the untreated conditions after the flash floods, landslides and mudflows. This article aims to describe a brief historical summary of flash floods, landslides and mudflows in Cameron Highlands and how this disaster can threaten the readiness of activities in other highland tourism sites. The discussion focuses on the process of building resilience to flash floods in the Cameron Highlands over the last few years. This article ends with a discussion on the challenges to be undertaken in the process of enhancing Cameron Highlands as a highland tourism destination. The discussion suggests that the approach towards achieving sustainable tourism development goals especially in Cameron Highlands should return to the original goal of tourism development with its aim to minimize the environmental impact and protect the human habitat.
The application of unmanned aerial vehicle photogrammetry for building maintenance (case study : national education museum, universitas pendidikan indonesia)
Authors: Ihsan M , Affriani A R
Published: March 2021

The use of UAV photogrammetry for three-dimensional modeling continues to be developed to produce models with high accuracy which are then used for documentation, maintenance, and development of the object being modeled. In this research a three-dimensional modeling of the National Education Museum, Universitas Pendidikan Indonesia is one of the landmarks of the Indonesian Education University campus. At the acquisition stage, taking photographs with two flight paths, namely circular grid and vertical grid so as to produce photos with oblique orientation and upright parallel to the face of the building. At the processing stage, scaling is done using field dimension data inputted on the model to produce a model that has dimensions that resemble actual conditions. From the processing results, we get a three-dimensional model that has the shape and texture in accorandce with the original conditions, but there is a large distortion in the glass object. In addition to the accuracy test analysis, there is an RMSe value of 0.278 meters in the comparison of the sizes in the model with the actual conditions