bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of relative wavelength response characterization and its effects on scanned-WMS gas sensing*
Authors: Zheng Dao , Peng Zhi-Min , Ding Yan-Jun , Du Yan-Jun
Published: January 2021

Our recently proposed three-step method showed the promising potential to improve the accuracy of relative wavelength response (RWR) characterization in the wavelength-modulation spectroscopy (WMS) over the commonly used summation method. A detailed comparison of the three-step method and the summation method, for the wavelength-scanned WMS gas-sensing, was performed with different laser parameters (modulation indexes and scan indexes) and gas properties (pressures and concentrations). Simulation results show that the accuracy of the predicted gas parameters is strongly limited by the RWR characterization with large modulation index and high gas pressure conditions. Both fitting residuals of RWR and errors of predicted gas parameters from the recently proposed three-step method are nearly 2 orders of magnitude smaller than those from the summation method. In addition, the three-step method is further improved by introducing a coupling term for the 2nd harmonic amplitude. Experiments with CO2 absorption transition at 6976.2026 cm−1 were conducted and validated the simulation analysis. The modified-three-step method presents an improved accuracy in RWR description with at least 5% smaller fitting residual for all conditions compared with the three-step method, although the deviation of the deduced CO2 concentrations between these two methods does not exceed 0.2%.
Inter-particle ratchet effect determines global current of heterogeneous particles diffusing in confinement
Authors: Mallmin E , Blythe Richard A , Evans Martin R
Published: January 2021

In a model of N volume-excluding spheres in a d-dimensional tube, we consider how differences between the drift velocities, diffusivities, and sizes of particles influence the steady-state distribution and axial particle current. We show that the model is exactly solvable when the geometrical constraints prevent any particle from overtaking all others—a notion we term quasi-one-dimensionality. Then, due to a ratchet effect, the current is biased towards the velocities of the least diffusive particles. We consider special cases of this model in one dimension, and derive the exact joint gap distribution for driven tracers in a passive bath. We describe the relationship between phase-space structure and irreversible drift that makes the quasi-one-dimensional (q1D) supposition key to the model’s solvability.
Experimental Verification of Single-Stage Power Factor Correction Converter with Improved Light-Load Efficiency
Authors: Thangisetty Yashwanth , Balamurugan P. , Senthil Kumar N.
Published: January 2021

Single-stage single-switch ac/dc converters with power factor correction will have higher power losses under a light-load condition, as compared to that of two-stage approach, due to sharing of a common power transistor such that the power factor correction (PFC) stage cannot be switched OFF separately to save power losses. This paper addresses the problem by using a buck topology for the PFC stage of single-stage single-switch converters as it can completely turned OFF. This converter topology is capable of working in both buck mode and buck-boost mode depending on the rectified voltage at input side and power at load side. A simple and effective topology incorporating PFC for low power applications is simulated in Matlab/Simulink environment. Hardware implementation of the converter was and performance was verified with various practical light loads. It also satisfies the harmonic compliance of source current in accordance to the IEEE519:1992 recommendations. The control is very simple and gives good performance.
Smart House Control using LabVIEW
Authors: Angalaeswari S , Deepa T , Subbulekshmi D , Krithiga S. , Narsimha Reddy Machupalli , Siddartha Kuntumalla , Chaitanya C
Published: January 2021

This project is solely based on the IOT application of Smart house. This is the day and age of smart devices. Companies are looking to transform the way humans interact with the environment. So digital technologies such as IOT is gaining popularity across the globe. So, trying to implement an IOT model which can function with the help of LabView and Arduino. The main objective of this project is to implement 5 subsystems which are frequently used in a smart house namely: Internal lighting system, External lighting system, Burglar alarm, Temperature and Smoke detector. The other main objective is to monitor the sensor data on the front panel of LabVIEW. The project is successfully completed and the original goals are met. The sensor data is continuously monitored and this data can be viewed on the front panel of LabVIEW. And with the help of LabVIEW, various loads can be controlled such as lights and fans.
ANFIS controller based frequency linked availability based tariff mechanism for a restructured power system
Authors: Pappachen Abhijith , Peer Fathima A , Morris Stella
Published: January 2021

This paper proposes the frequency linked availability based tariff (ABT) mechanism along with ANFIS controller for extenuating the issues in load frequency control (LFC) for a four area deregulated/restructured power system. To scrutinize the effective performance of the proposed approach, the dynamic performance of the system is analyzed with single and bilateral contract considering the value of the marginal cost higher and lesser than the Unscheduled interchange (UI). For this analysis, UI rate chart from the Central Electricity Regulation Commission (CERC) is used. The simulation results confirm that the ANFIS controller performance is comparatively better than proportional controller in two different contract cases.
Strength predictions of GGBS based cement mortar with different M-Sands using Neural Networks
Authors: Akash Kumar B , Vasugi V , Elavenil S
Published: January 2021

This study presents the compressive strength predictions of Ground Granulated Blast Furnace Slag (GGBS) based cement mortars containing two different types of M Sands (normal M sand and white M sand) which have been replaced effectively with the ordinary Portland cement. The defined mix ratios of mortar cubes are examined for compressive strength at 7, 14 and 28 days. Artificial Neural Network is a useful tool to predict various data’s strengths, making the work much more comfortable. Then the obtained compressive strength results of GGBS based cement based mortars varied with two types of M-sands at different days were feed into ANN tool box in MATLAB software to acquire the strength predictions. Experimental results indicated that the compressive strength results of GGBS based mortar with white M-sand showed superior results than the normal M sand. The predicted compressive strength results of GGBS based cement mortars obtained from ANN framework was in good agreement with the experimental results.
Static and Dynamic Analysis of Steel Beams with Web Openings
Authors: Mathur Sunny , Senthilpandian M , Karthikeyan K
Published: January 2021

The use of castellated beams has increased a lot in the past few years in all types of structures. The castellated beam is one of the several methods used to decrease the weight and cost of steel used in the construction. In castellated beams, increased depths can be achieved without increasing the self-weight of the structure. The significant advantages of castellated beams are better possessing bending moment capacity, ease of providing service pipes and wires, and aesthetic appearances. The castellated beams are made by making a zigzag cut through the web according to the desired opening shape and size, and then the two parts are welded together. In this work, static and dynamic analyses of the castellated steel beam section (ISMB 300) are performed to compare deflection, stress distribution, shear Stress, amplitude, and natural frequency. The investigation is done using ANSYS 18. The Castellated beam having a maximum opening of size 0.6h is used for the study. The castellated beams have proved to be useful under a light-uniform load.
Design of energy efficient carry lookahead adder using novel CSIPGL adiabatic logic circuit
Authors: Bhalerao Abhishek L , Mane Aishwarya , Pensenwar Kartik , Bhuvana B P , Anita Angeline A , Kanchana Bhaaskaran V S
Published: January 2021

This paper presents a novel energy efficient logic called Charge Sharing Improved Pass Gate Adiabatic Logic (CSIPGL) operating using four phase power clock sources. The CSIPGL based circuit is capable of operating through a wider range of frequency from 100MHz to 1GHz. CSIPGL logic has been designed using UMC 90nm technology model files and are simulated using Cadence® Virtuoso EDA tools. Efficiency of CSIPGL circuit is validated by comparing it against CSSAL, SQAL, SyAL, adiabatic logic circuits based on single charge sharing transistor [14] and EE-SPFAL circuit designs. Power consumption of AND/NAND and XOR/XNOR sub modules used in the design of 4-bit Carry Lookahead Adder circuits (CLA) are compared. 4-bit CLA is taken as a benchmark circuit to validate the efficiency of the proposed CSCPAL circuit.
Design of Arithmetic Logic Unit using Pseudo Dynamic Buffer based Domino Logic
Authors: Kushal Kumar S V , Anita Angeline A.
Published: January 2021

Design of combinational circuits using dynamic logic has the advantage of high speed and less area when compared to conventional CMOS logic. However, it pose problem while cascading dynamic logic architectures and also more prone to leakage current issue. These issues are overcome by using domino logic with static inverter at the output of dynamic node. The increased power dissipation at the output node is reduced by using pseudo dynamic buffer based domino logic by having static like switching at the output node. This paper details the design of arithmetic and logic unit designed using conventional and pseudo dynamic buffer based domino logic. The arithmetic unit comprise adder, subtractor, multiplier and logical unit comprise AND, NAND, OR, NOR and XOR logic blocks based on pseudo dynamic buffer based domino logic and it is compared with the Arithmetic logic unit designed using conventional domino logic. The design and simulations are performed using UMC90nm technology node library using Cadence® Virtuoso® tool. The simulation result of ALU unit demonstrates that arithmetic logic unit designed using PDB logic has reduction in power consumption by 89.14% and delay by 1.995% while compared to conventional domino logic.
Design and Implementation of Low Power High Stability 8T SRAM
Authors: Harshni R , Ravi V
Published: January 2021

This paper examines about the power decrease system in a memory cell. It affords a low power high stability 8T Static Random Access Memory (SRAM) cell. Two typically used SRAM cells are analyzed in phrases of their stability and power. It presents improved performance as analyzed with traditional 6T SRAM cell in iterms iof leakage power and static noise margin. The scheme of low power 8T SRAM is executed along enforcing power gating approach. Power gating is executed with the aid of putting a transistor in between the 8T SRAM cell and VDD or ground. However, this avoids the direct VDD and ground path and forming an indirect VDD and indirect ground path. The static noise margin of 8T SRAM is computed to decide higher stability whilst compared with 6T SRAM. It is inferred that the power of the newly programmed 8T SRAM cell is diminished close to 1.5% as contrasted with that of the traditional 8T SRAM cell and the stability is improved close to 8.19%.
Low Power Self disabling Comparator for Asynchronous ADC
Authors: Rohini Kodidela , Vaishibha AG , Ananiah Durai S
Published: January 2021

A low power single channel ADC with high sampling rate is designed in this work. The low power is accomplished by utilizing a self-disabling continuous time comparator those outcomes in less delay cells. The proposed ADC executed and simulated in 180nm CMOS technology. The possibility of 1.8 V supply in this technology provides improvement in step size and the improved delay cells yields increased sampling rate. The decision of asynchronous ADC is because of the way that it eliminates complicated correction methods to acquire better execution, as in flash, pipelined and SAR ADC. Asynchronous digital slope ADC, accomplishes power lower than the synchronous ADC. It does not need the complex alignment and can accomplish low power utilization.. So to improve speed of sampling, improvisation of delay cell and shortening of delay time is done. In this paper an improvised design of the StrongARM comparator having faster performance, smaller area, and higher power efficiency is designed.
Analysis of energy consumption using RNN-LSTM and ARIMA Model
Authors: Sachin M M , Paily Baby Melvin , Sudharson Ponraj Abraham
Published: January 2021

Given the increase of smart electricity meters and the wide adoption of electricity generation technologies such as solar panels, there is a wealth of data available on the usage of electricity. This data represents a multivariate time series of variables related to power, which could in turn be used to model and even forecast future electricity usage. The Household Power Consumption dataset is a multivariate time series dataset which describes the electricity consumption over four years for a single household. They were tested to predict for a specific house and block of houses over a given period of time. Throughout the past couple of decades energy demand has increased exponentially. This increase loads the electricity distributors heavily. So forecasting future demand for electricity use would give the dealer an upper hand. Predicting the consumption of energy requires several parameters. This paper proposes two methods with one using a Recurrent Neural Network (RNN) and another using a Long Short Term Memory (LSTM) network, considering only the previous consumption of electricity to estimate potential consumption of electricity. To assess the applicability of the RNN and the LSTM network to predict the electricity consumption.
Design of Area Efficient Filter Bank for Digital Hearing Aids
Authors: Mohith Reddy Narem , Suchetha M
Published: January 2021

The objective of the work scheduled is to design an area-efficient filter bank in a digital hearing aid by making use of Verilog HDL for functional verification, Synthesis & Physical Design in Cadence- Genus & Innovus respectively using ASIC design flow. Hypoacusis is a medical term which is well referred to as hearing impairment is a total or partial incompetence to hear. Around 466 million people live with Hypoacusis worldwide this is over 5% of the world’s populace. Hearing Aid is an Acoustoelectric Transducer which selectively enhances signal to ear to reimburse hearing loss. As technology is advancing day by day digital hearing aids are more adaptive, small and lightweight. The main block of the hearing aid is a filter bank which performs sound decomposition. To design a filter bank, it requires a precise intelligence of distinct digital signal processing approaches used in hearing aids among them the most important is to design a filter in which FIR, IIR, IFIR are crucial, which extracts signal within frequency bands. The proposed design area is minimized by 70.53%. thereby the size of the device is drastically reduced. The proposed design has an added advantage of lower power and delay.
A Comparative study of machine learning models for breast cancer prediction
Authors: Athar Afaf , Ilavarasi A K
Published: January 2021

The enormous growth in the medical technologies and the availability of clinical data has motivated researchers to progress much towards predictive analytics. Integrating machine learning techniques to healthcare domain has a progressive outcome called Computer Aided Diagnosis. A comparative analysis is presented to study the suitability of machine learning algorithms for benchmark breast cancer data. Statistical non-parametric evaluation is also carried out to indicate the integrity of the framework.
Development of Ontology on Crime Investigation process
Authors: Srimukh P V , Shridevi S
Published: January 2021

This paper is an extended version of the research paper “Ontology based crime investigation process” which deals with the working principle and the construction of an ontology based extensively on organized crime. Ontologies on various domains are created in which their assistance has been widely recognized. They are being developed for providing basis for allocation of knowledge in a domain and imparting reasonable information. In this paper we describe the structure of the ontology we created and also by validating the ontology via an online ontology evaluating tool.
Discrimination between the final state of t

t¯

H and t

t¯

b

t¯

using neural network
Authors: Putri R P , Sumowidagdo S , Primulando R , Mart T
Published: January 2021

After the discovery of the Higgs boson in 2012 at the Large Hadron Collider (LHC), the effort to understand the detailed properties of the Higgs bosons started. Of particular importance is study of the Higgs coupling to the top quark. This coupling can be studied through the associated production of Higgs boson with top-antitop quark pair, t

t

¯

H. This process however suffers from the indistinguishable background t

t

¯

H

b

¯

, since the Higgs boson decays predominately into bottom anti-bottom quark pair, b

b

¯

. This study presents systematic approach of using machine learning (ML), specifically neural network method to distinguish between the process t

t

¯

H and t

t

¯

b

b

¯

. Using input variables of kinematic variables (momentum), we found a signal efficiency of 46.7 % for signal events that have passed the preselection criteria. We conclude that the currently used input variables are not sufficient to discriminate between signal and background events, and we suggest that inclusion of input variables calculated from the fully reconstructed event could provide stronger discrimination between signal and background.
Preparation of LaMnO3/TiO2/NGP composites for methylene blue dye removal via adsorption and photosonocatalysis
Authors: Susanti Y D , Afifah N , Saleh R
Published: January 2021

In this study, LaMnO3/TiO2/nanographene platelet (NGP) composites with different loadings (3, 5, and 10 wt.%) of NGP were successfully synthesized by co-precipitation. The as-prepared composites were characterized by X-ray diffraction (XRD) and Raman spectroscopy. The XRD patterns confirmed the combination of the desired nanoparticles. The Raman spectra of the LaMnO3/TiO2/NGP composites revealed the D-and G-band structures of NGP. Furthermore, the composites were investigated for the degradation of methylene blue (MB) via adsorption and photosonocatalysis. The maximum degradation of MB via adsorption was achieved at 10 wt.% NGP loading in LaMnO3/TiO2/NGP, whereas for photosonocatalysis, the maximum degradation of MB was observed at 5 wt.% NGP loading. In addition, the pseudo-first-order and second-order adsorption kinetic models and the effect of scavengers on photosonocatalysis were evaluated.
Preparation of CeO2/TiO2/NGP composites as efficient catalyst for removal of organic dye using photo-, sono-, and sonophotocatalytic activity
Authors: Tju H , Taufik A , Saleh R
Published: January 2021

A simple hydrothermal technique was used to incorporate nanographene platelets (NGP) with CeO2/TiO2 composites with different NGP contents. The prepared samples were then evaluated as a heterogeneous catalyst to degrade methylene blue (MB) under visible light irradiation, ultrasonic irradiation, and a combination of the two. The structural and morphological properties of CeO2/TiO2/NGP composites were investigated by X-ray diffraction (XRD). The XRD spectra of CeO2/TiO2/NGP revealed the spectra of NGP, CeO2, and TiO2 nanoparticles indicating the desired combination. Further investigation using TGA measurements show that weight was lost at around 600 °C due to the combustion of carbon. The surface area of the composites was further increased. The prepared CeO2/TiO2–10 wt.% NGP composites were able to degrade MB four times higher than pristine CeO2/TiO2 composites, which may be due to a lower recombination rate; however, further increments of NGP decreased the degradation efficiency.
Influence of carbon-based material incorporation on Ag/Fe3O4/ZrO2 composite as highly efficient catalyst for photo- and sonodegradation of organic pollutant
Authors: Kristianto Y , Saleh R
Published: January 2021

In this work, a novel quaternary composite, Ag/Fe3O4/ZrO2/NGP and Ag/Fe3O4/ZrO2/graphene, as highly efficient catalysts were prepared through ultrasonic-assisted and co-precipitation methods. The prepared composite was characterized by X-ray diffraction (XRD), thermal gravimetric analysis (TGA) and vibrating sample magnetometer (VSM). The photo- and sonocatalytic activity of prepared composite were studied through the degradation of methylene blue (MB) as a model of organic pollutant under UV light and ultrasonic irradiation, separately. The experimental results showed that the composite contained a combination of the desired nanoparticles. In the catalytic activity, Ag/Fe3O4/ZrO2/graphene exhibited much higher efficiency than Ag/Fe3O4/ZrO2/NGP and Ag/Fe3O4/ZrO2 composite. Furthermore, the influence catalyst dosage was studied. To understand the role of reactive species in the sonocatalytic activity, several scavengers were tested. The reusability study suggested that the prepared composite remain stable even after four cycles reused.
Detection of Alzheimer’s disease with segmentation approach using K-Means Clustering and Watershed Method of MRI image
Authors: Holilah D , Bustamam A , Sarwinda D
Published: January 2021

Alzheimer’s disease is a common form of neurodegenerative disorders characterized by defective brain cells, such as neurofibrillary tangles and amyloid plaque that is progressive. One of the physical characteristics of someone suffering from Alzheimer’s disease is shrinking of the hippocampus area of the brain. The hippocampus is the smallest part of the brain that serves to save memory. The detection of Alzheimer’s disease can be done using a Magnetic Resonance Image (MRI) which is a technique of noninovasive for an analysis of the structure of the brain in the Alzheimer’s patient. In this research, K-Means Clustering and Watershed method are used to segment the hippocampus area which is one part of the brain that was attacked by Alzheimer’s disease. The analysis used to detect Alzheimer’s is comparing the value of the threshold with the number of white pixels in the images. The data used in this research are Open Access Series of Image Studies (OASIS) database by using the image of coronal slices. Based on the our experiment result, both K-Means Clustering and Watershed method can segment the hippocampus area to detect Alzheimer’s disease.
Bayesian logistic regression and its application for hypothyroid prediction in post-radiation nasopharyngeal cancer patients
Authors: Lukman P A , Abdullah S , Rachman A
Published: January 2021

Logistic regression models are commonly used to model response variables in the form of categorical variables with several predictor variables. The contribution of the predictor variable to the response variable is expressed through a regression coefficient (β). Therefore, it is necessary to estimate β. This study discusses the estimation of β using the Bayesian method. Bayesian approach utilizes a combination of information from sample data and prior information about the characteristics of the parameters of interest, resulting in the updated information, namely the posterior. Bayesian method thus can overcome the problem if the quality of the sample data does not support observation. Bayesian logistic regression method will be used in analyzing post-radiation nasopharyngeal cancer (NPC) patient data, using measurement on Zulewski’s score components. Markov Chain Monte Carlo with Gibbs Sampling were used to obtain the sample from posterior distribution. Convergent estimates were obtained, and the result showed that Zulewski’s component scores only were not enough to explain the hypothyroidism in NPC. Additional information is required in order to explain the incidence of hypothyroidism in NPC.
Multiclass classification of leukemia cancer data using Fuzzy Support Vector Machine (FSVM) with feature selection using Principal Component Analysis (PCA)
Authors: Fauzi I R , Rustam Z , Wibowo A
Published: January 2021

Cancer is the second leading cause of death globally. According to WHO prediction (2015) cases of cancer deaths will increase to 21.6 million cases by 2030. Therefore, early detection of cancer is necessary to avoid the spread of cancer and machine learning is required to increase performance in the detection of cancer. In general, microarray cancer data consist of many features. However, there are several features in cancer data that did not have important information in classification cancer. Therefore, these features will be summarized from several features under some common underlying factors into fewer components using the Principal Component Analysis (PCA) method. Then, we select the most features who have important information for classification cancer. This paper focuses on the comparison of using and without the PCA method on cancer data coupled with the Fuzzy Support Vectors Machines (FSVM) method for cancer classification. The experimental results, without the PCA method on cancer data coupled with the FSVM method for cancer classification the accuracy is 87.69 % and by using the PCA method on cancer data coupled with the FSVM method for cancer classification the accuracy is 96.92 % (obtained by using 60 features).
Mathematics model of measles and rubella with vaccination
Authors: Amelia D , Tasman H
Published: January 2021

Measles and rubella are two contagious diseases in human population which are caused by viruses. Measles and rubella can be prevented by vaccination. In this article, a mathematical model of the spread of measles and rubella with vaccination was constructed and analyzed. The population was divided into 9 classes. It was obtained four equilibrium points, these were the disease-free equilibrium point, the measles-free equilibrium point, the rubella-free equilibrium point, and the endemic equilibrium point. There were two basic reproduction numbers, corresponding to spread of measles and rubella. These numbers correspond to the stability of the equilibrium points. Numerical simulation is done to see the dynamics of population and to confirm the analytical result.
Predicting risk factors for postoperative coronary artery bypass grafting using logistic regression and CHAID
Authors: Nabilah A , Lestari D , Mardiyati S , Devila S
Published: January 2021

Non-fatal postoperative complications are postoperative morbidity that can affect the patient’s functional status and quality of life. Evaluation of postoperative morbidity is the step needed to assess and improve the quality of patient care. Therefore, a method is required in order to predict risk factors in evaluating a patient’s postoperative morbidity. After this the results will be used to determine the insurance premiums. In this research, the Logistic Regression are used to know the risk factors that would occur in patients who had undergone Coronary Artery Bypass Grafting (CABG) surgery. Then we use the CHAID method to classify readmission based on patient characteristics. Based on the two analyzes, it can be concluded that the CHAID analysis supports the Logistics analysis, there are two risk factors significantly influence the complications of patients after Coronary Artery Bypass Graft (CABG), namely Sex and Ejection Fraction.
Multivariate Bühlmann-Straub credibility model for claim reserving
Authors: Winarta V T , Novita M , Nurrohmah S
Published: January 2021

One of the approaches that is used for claim reserving in insurance companies is credibility theory, which allows claim reserving by combining claim payment data with other information. In this paper, the Bühlmann-Straub credibility model is used. Furthermore, in general, claim reserving in a company is done by calculating the claim reserve in each line of business (LoB) in the company, then the total claim reserve for the company (aggregate reserve) is obtained by adding up the claim reserve in each LoB. Considering the possibility that there is correlation between the existing LoBs, the value of aggregate reserve can actually be less than the sum of the claim reserve in each of the existing LoB. Therefore, research on the claim reserving then evolves by considering claim payment data from various LoBs in a company, or also called claim reserving in multivariate context. In this paper, a research is conducted on the development of multivariate Bühlmann-Straub credibility model for claim reserving along with estimation for model’s parameters. The model is used to calculate claim reserve for three LoBs of insurance company in United State, based on the data of claim amount during the period of 2008-2017 that was published by Association of Insurance Commisioners of the United State. It appears that the error of multivariate Bühlmann-Straub credibility model is lower than the error of standard Bühlmann-Straub credibility model.
Identification of factors associated with hypothyroidism due to radiotherapy in patients with nasopharyngeal cancer (Case study of nasopharyngeal cancer in one of the hospitals in Jakarta)
Authors: Lestari D A , Abdullah S , Rachman A
Published: January 2021

Nasopharyngeal cancer is an abnormal cell growth that develops around the nasopharynx. Treatment of nasopharyngeal cancer patients includes chemotherapy or radiotherapy. Both treatments have side effects in patients. In this study, we will focus on hypothyroidism as a side effect of radiotherapy in the treatment of patients with nasopharyngeal cancer. Hypothyroidism is a condition when the thyroid gland is unable to produce enough thyroid hormone. The main goal of this study is to identify the factors associated with hypothyroidism. To achieve this goal, classification tree and logistic regression methods will be used. Classification tree is used to obtain important variables in the classification of subject classes. Then, logistic regression is used to quantify the risk of variables that appear in the classification tree, hypothyroidism risk factors, and hypothyroidism marker factors. Based on the analysis, it was found that the factors associated in this study were variable symptom, physical sign, smoking habits, gender, age, BMI (Body Mass Index), TSH (Thyroid Stimulating Hormone) and fT4 (free thyroxine) hormones, and also all items on Zulewski score, except items delayed ankle reflex and slow movements. These factors associated tended to increase the risk of hypothyroidism, except for the fT4 hormone and BMI.
Comparing factors which affect Visceral Fat Area (VFA) for male and female weight management X participants with chow method and meta regression
Authors: Delmiana B , Setiadi R , Widyaningsih Y
Published: January 2021

The spread of fat in human’s body divided into two parts. The first is subcutaneous fat area and the second is visceral fat area (VFA). The largest fat deposit in human’s body is in the subcutaneous area. This fat is called body fat, while the remains of fat in human’s body is located in visceral area inside abdominal cavity and chest cavity. VFA is a dangerous fat, so this study proposes multiple linear regression models to know how to control VFA level more precisely based on body mass index (BMI), basal metabolic rate (BMR), chronological age, biological age, body fat, and skeletal muscle variables. There is presumption that VFA level and other variables that are considered in weight management are different between male and female, so the regression models for male and female groups are built separately. The Chow test is performed to test the similarity of both regression models for male and female groups. If both regression models for male and female groups are same, the combined regression model will be built for male and female groups which can explain the control of VFA level to relate variables in both male and female.
Clustering analysis of senior high school in West Java based on educational facilities
Authors: Putri M A , Abdullah S
Published: January 2021

The problem of education in senior high school remains. One of the roots of the problem is the lack of educational facilities. The government has responded to this case by giving the state budget (APBN) for education. Nevertheless, the large number of senior high schools in Indonesia is one of the barriers to efficient distribution of APBN funds. Thus, clustering analysis of senior high school facilities in Indonesia especially in West Java is expected to be a solution. The number of observations is 13,486 with nine categorical variables recorded on a website of the Ministry of Education and Culture in August 2019. The method used is Robust Clustering Using Link (ROCK). To get a clearer profile of the clusters, we used ROCK method modified with Nested Clustering. The results of this study indicate that 14 clusters were formed and have their profiles. Cluster 3 is a relatively good cluster while cluster 1a is a relatively poor cluster. Clusters representing poor facilities were found to be dominant in West Java Province.
Community structure of tree at three location points of Ciliwung riparian zone in Depok–South Jakarta
Authors: Pratiwi A D , Wardhana W , Putrika A
Published: January 2021

Rapid urban development leads to changes of vegetation community structure in the riparian zone. Research on tree community structure has been done at 3 location points of Ciliwung riparian zone in Depok–South Jakarta with different habitat condition. Habitat at location 1 is known to be natural, habitat at location 2 has undergone land use conversion, and habitat at location 3 has undergone river bank concretization. This study aimed to compare tree community structure in the 3 locations. We used plot method for data sampling. A total of 4 plots at each location with size of 20x20 m were determined purposively. The results showed that the 3 locations showed differences in the tree community structure. Compositions of tree at location 1, 2, and 3 respectively consists of 11 species in 8 families, 14 species in 10 families, and 4 species in 4 families. Overall, all three locations have low to moderate level of tree diversity (H’ 1.26–2.3) and high level of tree evenness (E 0.81–0.90). Based on Importance Value (IVi), location 1, 2, and 3 respectively are dominated by species of Cecropia peltata (85.12 %), Paraserianthes falcataria (142.40 %), and Leucaena leucocephala (105.94 %).
Effective concentration of Water Hyacinth (Eichhornia crassipes) and Corncob (Zea mays) as a growth medium for the development of Sludge Worm (Tubifex spp.)
Authors: Safitri S D , Khaerunnisa S , Ikhsan C , Purwanti D , Lestari R
Published: January 2021

Feeds with high protein characteristics and relatively small size are needed to support the growth of fish seeds. One source of feed that meets these criteria is sludge worm. Water hyacinth and corncobs are waste in the community. The mixture of these two ingredients contains organic material that is able to provide nutrients for the growth of sludge worms. This study aims to optimize the development of sludge worm cultivation media based on water hyacinth and corncobs as raw material. Sludge worms are cultured with recirculation system with 3 design combination treatment variation of water hyacinth and fermented corncob. Those 3 design are 15 % water hyacinth and 5 % corncob (treatment I), 10 % for both of water hyacinth and corncob (treatment II), and the last is 5 % water hyacinth with 15 % corncob (treatment III). The parameters measured in this study were water quality and dissolved oxygen. Treatment I and treatment II present good results as potential sludge worms cultivation media.
Estimation of carbon stocks from tree stands vegetation in Universitas Indonesia’s urban forest, Depok
Authors: Febiriyanti A , Pradana D H , Putrika A
Published: January 2021

Urban forest has a function as CO2 emissions absorbers derived from human activities around the city. Universitas Indonesia (UI) Urban’s Forest is one of the Urban Forest which has potential carbon stocks. A study has been conducted to analyze the potential of carbon stocks and tree stands that have the highest carbon stock in UI Urban’s Forest. Tree stands are woody vegetation with a diameter ≥ 20 cm. The research was conducted in October-November 2017 in UI Urban’s Forest area covering three locations, west Wallace, east Wallace, and natural vegetation. Method of collecting data of vegetation was done by nondestructive sampling by measuring Breast Height Diameter (DBH). Data processing uses allometric equations with the specific wood density of each tree species. Results showed that the potential of carbon stocks in UI Urban’s Forest is 468.02 ton/ha with west Wallace, east Wallace, and natural vegetation are 138.62 ton/ha, 162.75 ton/ha, and 182.64 ton/ha. Overall, potential carbon stocks in UI Urban’s Forest is 11752.48 ton/ha. Species of trees with the highest potential of carbon stocks is Delonix regia.
Microplastic in mangrove horn snail Telescopium telescopium (Linnaeus, 1758) at mangrove ecosystem, Rambut Island, Jakarta Bay, Indonesia
Authors: Putri F T , Patria M P
Published: January 2021

This study was done to identify the type and amount of microplastic particle in the sediment, water and the horn snail Telescopium telescopium (soft tissue, respiratory and digestive organs) in the coast of Rambut Island, Jakarta. This research also aimed to know the correlation between the amount of microplastic particles in the sediment and the snail body mass. The result showed that average amount of microplastic were found 764.81 particles/ind in the snail, 31.7 particles/g in sediment and 15.46 particles/mL water samples. The microplastic type of film was dominant in all of the samples, with average amount 368.51 particles/ind in snail, 15 particles/g sediment and 9.46 particles/mL water samples, respectively. The respiratory organ contained higher microplastics (102.33 particles/ind) than the digestive organ (66.85 particles/ind). There were significantly positive correlation (r=0.744) between amount of microplastics in the snail and the snail body mass.
Poles carbon stock estimation of urban forest in Universitas Indonesia, Depok
Authors: Salsabillah S H , Pradana D H , Putrika A
Published: January 2021

The study of carbon stock estimation on pole vegetation was done in the urban forest of Universitas Indonesia, Depok. The aims of this study were to estimate the carbon stock of pole stage in Urban Forest of Universitas Indonesia, which were divided into three zones: West Wallace, East Wallace and natural vegetation. In addition, this study was conducted to determine species in pole stage that hold the largest carbon stock. The research was conducted in August-December 2017 using a non-destructive method. The carbon stock value obtained from the biomass calculation based on pole’s diameter at breast height (DBH). We measured the DBH of pole stage on 75 plots of 10 x 10 m2 which was divided to 3 zones, 25 plots each. The biomass calculation was done using an allometric equation B = 0.11 ρ D (2+0.62). The allometric equation used wood density of each species found. The average of carbon stock value in Urban Forest of Universitas Indonesia is 11.505 ton/ha, with East Wallace have the largest carbon stock of 17.262 ton/ha and natural vegetation have the smallest carbon stock 6.876 ton/ha. Species of pole stage with largest average carbon stock in Urban Forest UI is Hopea sp. (Merawan) with 0.327 ton/ha.
Social and reproductive behaviour of proboscis monkey Nasalis larvatus (van Wurmb, 1787) at Taman Safari Bogor, West Java
Authors: Sjahfirdi L , Noviandini D
Published: January 2021

Research on social and reproductive behaviours of proboscis monkey Nasalis larvatus (van Wurmb, 1787) at Taman Safari Bogor has been done. The purposes of the research are to evaluate social interactions between male and female proboscis monkeys, between the females, and to evaluate reproductive behaviours in male and female pairs. Observation methods used were scan sampling and ad libitum sampling with fifteen minutes intervals without pause. The observation time was six hours per day and was done for four weeks in November 2019. Subjects observed in the study were one adult male aged 20 years (J) and two adult females aged 14 years (B1) and 11 years (B2) in a glass cage. Social behaviours observed indicate high affiliative behaviours (average 99.28 %) and low aggressive behaviours (average 0.72 %). Reproductive behaviours were carried out by both pairs with the higher frequency of reproductive behaviours happened between J and B1 than J and B2. Based on the t-test carried out with the value of α = 0.05, the frequency of reproductive behaviours of the pairs significantly different with the value of P < 0.05.
Microplastic abundance in blood cockle Anadara granosa (linnaeus, 1758) at Lada Bay, Pandeglang, Banten
Authors: Ukhrowi H R , Wardhana W , Patria M P
Published: January 2021

Microplastic in the marine ecosystem has become a growing global concern over the past decades. This research analyzed the abundance and type of microplastic in the blood cockle anadara granosa, water, and sediment from Lada Bay, Pandeglang, Banten, Indonesia. The sampling of the blood cockle, water and sediment were collected from 3 different stations. Digestive tracts and respiratory organs from blood cockle were destructed with HNO3 65 %, water and sediment samples were mixed into the concentrated NaCl solution. The results showed a microplastic abundance of 248.5 ± 3.81 particle/L in water, 169.200 ± 5.184 particle/kg in sediment and 618.8 ± 121.4 particles/individuals in the cockle. Besides, in blood cockle from the traditional markets, it was found 566.7 ± 133.1 particle/individuals microplastic. Fiber is the type of microplastic that was most commonly found in the samples of cockles (58.06 %), waters (61.23 %) and sediments (57.82 %). The river was indicated as a microplastic source to the sea. The station 3 in ± 60 m near the river mouth has a higher microplastic concentration with an average of 86.17 ± 2.36 particle/l.62666.67 ± 1803.7 particle/Kg and 720 ± 131.1 particle/individual, compared to station 1 and 2 which is further away from the river.
Antagonistic potential of Streptomyces cellulosae SM12 against Ganoderma sp. TB3 and Ganoderma sp. TB4
Authors: Zulfa N V , Fitroh M , Santoso I , Maryanto A E , Yasman
Published: January 2021

A study was carried out to screen 25 Actinomycetes isolates that have ability to act as biocontrol agents Actinomycetes against Ganoderma sp. TB3 and Ganoderma sp. TB4. Among 25 Actinomycetes isolates, only Actinomycetes SM12 can inhibit the growth of both Ganoderma sp. TB3 (52 %) and Ganoderma sp. TB4 (60 %). Antagonistic assay using cross streak method with a longer period of delayed antagonism showed higher inhibition effect to the growth of Ganoderma sp. TB3 (76 %) and Ganoderma sp. TB4 (85 %). Identification of Actinomycetes SM12 based on 16S rRNA revealed that Actinomycetes SM12 belong to Streptomyces cellulosae. The Actinomycetes SM12 isolate produces rectinaculum-apertum spore chain and forms a colony that exhibited white to greyish color. Enzyme activity test showed that the cultures are positive in amylase, protease, lipase and cellulase production respectively.
Effect of free range chicken egg yolk concentration to spermatozoa viability of koi fish (Cyprinus carpio, Linnaeus 1758) post-cryopreservation
Authors: Zavitri N G , Abinawanto
Published: January 2021

Research on natural cryoprotectant such as chicken egg yolk, for sperm fish cryopreservation has already been done, however Using free range chicken egg yolk has yet to be done before in sperm fish, especially in koi fish. The aim of this research was to evaluate the effect of free range chicken egg yolk concentration on sperm viability of koi fish, Cyprinus carpio (Linnaeus, 1758) after freezing. Sperm was collected by hand stripping method, and diluted by a dilution solution (methanol 10 % and various concentrations of free range chicken egg yolk) with ratio 1:4. The given concentration of free range chicken egg yolk was 0 % (control), 5 %, 10 %, 15 %, 20 %, and 25 %. Freezing was done at -34 °C for 48 hours. The one factor ANOVA showed that various concentration of chicken egg yolk had effect (P < 0.05) on average value of viability of spermatozoa of koi fish 48 hours post-cryopreservation. Tukey’s multiple comparison test showed significant differences (P < 0.05) between controls with other chicken egg yolk treatment. Free range chicken egg yolk at concentration 15 % is the optimum concentration in this study for maintaining viability of koi fish sperm 48 hours post-cryopreservation, because it produced the highest average value of percentage viability 84.5 ± 7.32 %.
The study of Heat shock protein 70 (Hsp70) gene expression on Ageratum conyzoides L. and Synedrella nodiflora L. in Universitas Indonesia, Depok and Cibodas Botanical Garden
Authors: Windarti C K , Maryanto A E , Salamah A , Andayani N
Published: January 2021

Asteraceae is one of the invasive plant family. Invasive plants have more ability in tolerating high temperatures with the role of the Hsp70 mechanism. The Hsp70 gene is conserved in cells as a form of adaptation to some environmental stresses, one of which is temperature stress. The difference of average temperature between Universitas Indonesia-Depok (28.6 °C) and Cibodas Botanical Garden (20.06 °C) become the basis of this research to see the level of Hsp70 gene expression in Ageratum conyzoides and Synedrella nodiflora. RNA isolation from the leaf tissues was carried out using modified CTAB method followed by cDNA synthesis. The cDNA obtained is then amplified by PCR using a Hsp70 primer from Arabidopsis thaliana. The results of this research using in silico techniques showed a partial amplification of the Hsp70 gene and the presence of nucleotide variations in Universitas Indonesia-Depok and Cibodas Botanical Garden at the positions number 110 (Ageratum conyzoides) and 108 (Synedrella nodiflora). These variations resulted in different amino acids but did not change the protein structure prediction of the samples.
The effect of coconut milk in various concentrations on spermatozoa motility of Koi fish (Cyprinus carpio, Linnaeus 1758) 48 hours post-cryopreservation
Authors: Devita A , Abinawanto  , Lestari R
Published: January 2021

Research about the effect of various concentrations of coconut milk on spermatozoa quality of Koi Fish (Cyprinus carpio, Linnaeus 1758) 48 hours post cryopreservation has been carried out. The research aims to understand the effect of 5 % methanol and various concentrations of coconut milk (0 %, 2 %, 4 %, 6 %, 8 % and 10 %) on the motility of Koi fish spermatozoa 48 hours post-cryopreservation. Koi fish milt in this research was collected by stripping method and then evaluated microscopically and macroscopically. Results obtained are further assayed statistically using the Saphiro-Wilk normality test, Levene homogeneity test, one way Anova test, and Tukey multiple comparison test. One way Anova test showed that various concentration of coconut milk had significant difference (P < 0.05) of average value of motility on spermatozoa of Koi fish 48 hours post cryopreservation. A combination of 5 % methanol with 6 % coconut milk is the optimum concentration of cryoprotectant because it produced the highest average value of spermatozoa motility (79.13 ± 4.18 %).